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NASA Conference Publication 2194 NASA CP ' 2194 Oceanic c.1 m" - "I -0 Proceedings of a workshop held at Goddard Space Flight Center Greenbelt, Maryland November 13-14,1980

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Page 1: NASA Conference Publication Oceanic

NASA Conference Publication 2194 NASA CP ' 2194

Oceanic c .1

m " - "I - 0

Proceedings of a workshop held at Goddard Space Flight Center

Greenbelt, Maryland November 13-14,1980

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TECH LIBRARY KAFB. YM

Oceanic Lidar

Kendall L. Carder, Editor Oceanic Processes Branch

NASA Headquarters Washington, D. C.

Proceedings of a workshop held at Goddard Space Flight Center

Greenbelt, Maryland November 13-14,1980

National Aeronautics and Space Administration

Scientific and Technical Information Branch

1981

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TABLE OF CONTENTS

SECTION PAGE

Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . i Sumary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . i v Acknowledgements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v i i

I . Abstracts of Presentat ions . . . . . . . . . . . . . . . . . . . . . . 1 1.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . 1

Scanner (CZCS) Va l ida t ion E f fo r t . . . . . . . . . . . . . . . . 1 1.3 Raman Temperature Spectroscopy i n the Ocean . . . . . . . . . . . 2

Raman Return . . . . . . . . . . . . . . . . . . . . . . . . . . 3

Fluorosensing . . . . . . . . . . . . . . . . . . . . . . . . . . 6

A1 Gal Pigments . . . . . . . . . . . . . . . . . . . . . . . . . 8 1.7 Airborne Oceanographic LIDAR Measurements . . . . . . . . . . . . 8

1.2 Phytoplankton Patchiness and the Coastal Zone Color

1.4 Correction o f Laser Fluorosensor Signals Using \ la ter

1 .5 The Mult iple Laser Exci ta t ion Approach to Lase r

1.6 Laser Remote Sensing of Sediment Load and

I1 . Discussion Group Summaries 11.1 LIDAR Applications to Phytoplankton Dynamics . . . . . . . . . . 11 11.2 LIDAR Applications to Photochemistry . . . . . . . . . . . . . . 13

11.4 LIDAR Technology: Present and Future . . . . . . . . . . . . . . 16 11.3 LIDAR Radiative Transfer and Signal Interpretat ion . . . . . . . 14

Appendix A . Agenda . . . . . . . . . . . . . . . . . . . . . . . . . . . . A - 1 Appendix B . Workshop P a r t i c i p a n t s . . . . . . . . . . . . . . . . . . . . B - 1

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PREFACE

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I1 I I Ill I 111lIl I I I I 1

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PREFACE

In anticipation of the kinds of investigations that may be possible in the latter half of this decade when there are prospects for satellite-borne ocean color scanners (in addition to the Coastal Zone Color Scanner (CZCS) being considered for N O M H or I , the Japanese and Europeans are both plan- ning to have color scanners in orbit), NASA is considering "in situ" and airborne instrumentation which will aid in the signal interpretation of various satellite sensors. Instruments which will supplement satellite capabilities by providing data of shorter temporal and spatial scales and information about the dynamics of the upper ocean are also needed.

Understanding the oceanic processes which will affect ocean color scanner images, whether they are affected by upwelling-induced phytoplankton pro- ductivity or shoaling o f the chlorophyll maximum due to internal waves, is one important goal of the Oceanic Processes Branch of NASA. Airborne, and perhaps even towed submerged Light Detection and Ranging (LIDAR) systems that are SONAR-equipped, could play an important role in helping to extend the synoptic measurement range of ships, in providing ocean truth for satellite ocean color sensors, and in helping to measure the dynamics of phytoplankton and grazing organisms. The Oceanic LIDAR Workshop was held to consider the uti 1 ity of LIDAR systems to these types of ocean, color- related problems.

LIDAR technology has recently developed to the point where airborne quan- titative measurements of several oceanic variables can be confidently made. These include shallow water bathymetry, oil film thickness, oceanic tracer dye concentration, and chlorophyll - a concentration. The latter three measurements rely heavily on using the OH stretch water Raman back- scatter spectral line which is observed almost routinely in coastal and oceanic waters. In addition to the water Raman backscatter, airborne lidars have detected hydrocarbon (oil) fluorescence, "on-frequency"

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backscatter from water and particles, and dissol'ved and particulate organic fluorescence. Some LIDAR systems are electronically configured to allow measurement of many of the variables as a function of depth, to depths equivalent to one or two attenuation lengths (20 to 40 m in waters with Sargasso Sea type clarities for blue wavelengths) even in daylight. However, airborne LIDAR has not to date demonstrated an ability to measure to depths where the oceanic chlorophyll maximum is found.

A second type of Lidar system should be considered to address the third or vertical dimension of the euphotic or productive layer of the ocean. Throughout much of the global oceans, a chlorophyll maximum is found at depths equivalent to about three attenuation lengths. While this is below the depths from which significant upwelling radiance is contributed to the Nimbus-7 CZCS signals (about one attenuation length), internal waves can vertically displace the chlorophyll maximum to within CZCS view, poten- tially confusing the interpretation of CZCS images. Also, in order to measure the standing crop of chlorophyll and to assess the productivity of the oceans, one must be able to measure the phytoplankton (chlorophyll) distribution/concentration to depths where about 1 percent of the surface light irradiance remains. One method that might be used to achieve this would be to tow a submerged LIDAR system two attenuation lengths below the surface, and to range-gate LIDAR returns up to the surface and down to depths equivalent to four attenuation lengths (e.g., 80m to lOOm deep). By using ratios of the reflected radiances at two wavelengths (e.g., 450 and 520 nm) centered about the transparency window (480 nm), chlorophyll and attenuation coefficient estimates as a function of depth, from the sea sur- face t o depths of 80 to 100 meters in clear water, should be attainable. Simultaneous activation of high frequency sonar soundings should permit higher trophic level organisms to be range-detected and compared to the locations of phytoplankton patches. Thus, phytoplankton and zooplankton dynamics may be addressable remotely and simultaneously for the first time, permitting a more intimate understanding of the mechanisms affecting the growth and consumption of the first two tropic levels. With such a

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system, not only would one be able t o quantify plankton patchiness, b u t w i t h appropriate physical and chemical observations, one could begin to address ecological aspects and p a r t i c l e dynamics problems o f the upper ocean.

Dr. Kendall L. Carder Ocean Optics Program Manager Oceanic Processes Branch

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SUMMARY

This two day Oceanic L I D A R Workshop brought together, in a relatively rare occurrence, a group of ocean L I D A R and ocean color technologists with a selected group of scientists from the oceanographic comnunity. Much of the first day was dedicated to presentations of the state-of-the art of several existing airborne, shipboard and laboratory ocean LIDAR systems, and of the interpretation of Coastal Zone Color Scanner (CZCS) imagery in terms of near surface phytoplankton chlorophyll abundance. Then, several working groups met to discuss needs and directions for future research, after which their reports were presented and discussed by all the Workshop partici- pants.

My 1 ast exposure to ocean remote sensing with L I D A R was in 1978 in conjunc- tion with an IUCRM Colloquium on "Passive Radiometry of the Ocean1'.' From this more recent workshop, it becomes clear that in 2-1/2 years, we have progressed from "gee whiz" pictures and theoretical possibilities to honest grapplng with problems such as environmental signal-to-noise, strategies for meaningful ground truthing, and determining directions that will be scientifically fruitful as well as technologically fascinating. Several matters arising from the Workshop deserve individual mention.

i) Effective ground-truthing for airborne and satellite remote sensing requires sensor technology and sampling strategy comparable in sophistica- tion with the remote sensing itself. The scales and intensity of the in situ variability must be determined such that the ground truth calibra- tions are averaged appropriately for the "footprint" and depth penetration of the individual airborne or sate1 1 i te sensors.

i i ) More basic research is required immediately on tile passive and active optical properties of live and dead organic materials in sea water.

1. Gordon, H.R. (editor). 1980. Ocean Remote Sensing Using Lasers, NOAA Technical Memorandum ERL PMEL-18, 2OOpp.

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i i i ) While research into the stimulation of chlorophyll fluorescence at 685 nm by multiple wavelength excitation and the stimulated flourescence of the plant pigment phycoerythrin are fascinating, the "pay-off" to marine ecologists is most likely to occur with the remote sensing of phyto- plankton chlorophyll by multiple band ocean color measurements. The two overwhelming advantages are the increased depth penetration that results from avoiding the use of red light, and the elimination of having to resolve the variation in fluorescence yield per unit chlorophyll pigment -that results principally from the recent light history of the phytoplank- ton.

iv) The proposal to mount a LIDAR system on a towed underwater vehicle is definitely of interest to marine ecologists, but it must be emphasized that the ecological significance o f obtairling data in three dimensions o f chlorophyll abundance resolved down to a scale of approximately 1 m3 is predicated on simultaneous and similar data for zooplankton, presumably obtained by high frequency (approximately lo6 Hz) sonar. The scientific problem to be addressed through information on their mutual correlations is that of grazing interactions.

v) Remote sensing of chlorophyll abundance from airplanes or satellites, and to a lesser extent from a towed underwater vehicle, will provide marine ecologists with improved knowledge of spatial variability in the oceans. However, there is no successful biological analog to a moored current meter that routinely provides physical oceanographers with long time series of currents, temperature and salinity. The LIDAR and acoustics sensors envisioned for a towed underwater vehicle would be ideal sensors for a moored system to provide long time series information on the abundance of

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phytoplankton and zooplankton at any point i n the ocean. There i s a d e f i n i t e need f o r such a system.

Kenneth L. Denman I n s t i t u t e of Ocean Sciences Canadian Department o f Fisheries and Oceans

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Acknowledgements

NASA gratefully acknowledges the valuable contributions that the presenta- tions of Drs. Raymond Smith, Donald Leonard, Michael Bristow, Reginald Exton, Wayne Esaias and Frank Hoge made to the success of the LIDAR Work- shop. The logistical and organizational support provided by Suzanne Bassford i s especially appreciated as is the help that David Stowell pro- vided in preparation of this document.

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I

SECTION I. ABSTRACTS OF PRESENTATIONS

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SECTION I . ABSTRACTS OF PRESENTATIONS

1.1 INTRODUCTION

Abstracts of the t a l k s given by developers and users of oceanic LIDAR sys- tems are shown i n the order o f preseritation.

I .2 PHYTOPLANKTON PATCHINESS AND THE COASTAL ZONE COLOR SCANNER (CZCS) VALIDATION EFFORT

R . S m i t h , Scr ipps Inst i tute , La Jo l l a , CA

Complementary and contemporaneous s h l p and s a t e l l i t e (Nimbus-7-CZCS) bio- optical data from the Southern California B i g h t and sur rounding waters have been and are b e i n g obtained i n order t o make a quantitative assessment o f the spa t ia l and temporal var iabi l i ty (patchiness) of chlorophyll i n these waters.

CZCS data have been processed t o reveal variations i n the concentration of phytoplankton pigments. A three-week time se r i e s of chlorophyll maps, obtained from CZCS imagery o f the Southern California B i g h t show the quan- t i t a t i ve va r i a t ion of chlorophyll for this region d u r i n g th i s period. Similar data, covering a time period of 18 months w i l l be processed i n the near future.

These data are b e i n g used to increase our understanding o f mesoscale b i o - logical patterns and processes i n productive coastal waters. We intend: t o study the physical and biological processes leading t o this chlorophyll

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References

Smith, R . C. and W . H . Wilson (1980), " S h i p and S a t e l l i t e Bio-Optical Research i n the California B i g h t " , Proceedings of the COSPAR/SCOR/I VCRM Symposium, Oceanography from Space, Venice, I t a ly , March 26-30.

variabil i ty; to assess seasonal primary productivity ( u s i n g chlorophyll as an indication of phytoplankton biomass) for the en t i r e Southern California B i g h t region; t o investigate the relationship of chlorophyll variabil i ty t o f

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i sh recruitment and marine mammal dis t r ibut ions.

RAMAN TEMPERATURE SPECTROSCOPY IN THE OCEAN

D. Leonard, Computer Genetics Corp., Wakefield, MA

This paper describes the application of Raman sca t te r ing t o the remote sensing of subsurface temperature, salinity and attenuation profiles. The theoretical basis of the method is discussed, including an estimation of the potential of the measurement technique i n terms of accuracy and depth penetration as a function of 1 aser power and other system parameters. Both laboratory and f i e l d experiments, conducted by the au tho r over the pre- vious years, are described. The current overall status for the Raman tech- nique i s reviewed. An overall survey reference f o r t h i s work (which con- ta ins 40 references) i s D . A. Leonard, e t . a l . Applied Optics - 18, 1732

(1979).

Theoretical Basis

The physical basis of the measurement can be described by the following: (a ) l iqu id water ex is t s i n a t l ea s t two forms, monomer and polymer; ( b ) the two forms are i n chemical equilibrium as a function of temperature; (c ) the O-H Raman stretching frequency is s ign i f icant ly d i f fe ren t for the monomer and polymer forms , ( d ) the relative concentration of monomer vs. polymer can be determined from the Raman spectrum, and thus the temperature can be

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inferred. The measurement is thus a d i rec t measurement based upon an in t r in s i c temperature-dependent property o f the water molecule i t s e l f .

Salinity information i s obtained as a non-linear perturbation to the basic water Raman spectrum, i .e. , the addition of s a l t makes certain regions o f the spectrum appear hotter. Attenuation profiles are obtained by u s i n g the Raman signal as a normalizing factor either t o i tself a t successive depths or to other signals being measured such as fluorescence.

- Estimation of Potential

Since the Raman scattering cross-section for water i s known, the perfor- mance of a Raman LIDAR subsurface temperature measurment system, i f not limited by interferences, can be exactly calculated as a f u n c t i o n of water t u r b i d i t y , laser power and other system pararnters (see Above Reference). Environmental interferences are expected t o be dominated by volume depolarization producing a temperature uncertainty of 0.loC per diffuse attenuation length of depth.

Field Experiments

Field experiments have obtained laser Raman temperature data i n a var ie ty of natural waters including the coastal waters of Massachusetts, Nova Scotia, Florida and the Bahama Islands and open ocean waters of the North Atlantic, the Mediterranean and the Equatorial Pacific. The r e su l t s of these experiments i n general have demonstrated l0C temperature accuracy and data retrieval down t o 4 diffuse attenuation lengths of depth. Recent experiments i n the Dalhousie University 10 meter h i g h s t r a t i f i e d t a n k are reported i n which a temperature gradient is measured under controlled con- di t ions.

1.4 CORRECTION OF LASER FLUOROSENSOR SIGNALS USING ~~ ~ WATER RAMAN RETURN

M . Bristow, EPA Las Vegas, NA

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The airborne laser fluorosensor measurements can now be corrected fur interferences introduced by the presence of waterborne dissolved and par- ticulate matter in the water column. This represents a significant advan- tage over the passive multispectral imagery approach of mapping surface water chlorophyll - a. Large variations in the optical transmission o f sur- face waters can occur over short horizontal distances because of char,ges in the concentrations of suspended materials. These changes in concentration result in large variations in the depth of penetration of the laser beam, and produce fluctuations in the received fluorescence signal that are often unrelated to the algae concentration. This interference has been successfully eliminated by monitoring the concurrent water Raman emission. This Raman signal is a property of the water alone and variations in its intensity are an indicator of changes in optical transmission. By taking the ratio of the chlorophll - a fluorescence signal to the water Raman signal, a new chlorophyll - a indicator is obtained that is independent of these changes (Bristow et al, 1979).

The laser fluorosensor uses a downlooking, pulsed laser transmitter to simultaneously excite fluorescence and Raman emissions from the chloro- phyll and water, respectively. The chlorophyll - a fluorescence emission occurs at 685 nm, whereas the water Raman emission occurs at 560 nm when excited at 470 nm. These emissions are collected by a telescope receiver, which is imaged on the laser excitation spot on the water surface. The fluorescence and Raman emission bands are then isolated using a beam split- ter and optical interference filters. The fluorescence and Raman signals are detected by two gated photomultipliers, displayed in real time on an oscilloscope, and concurrently digitized and recorded on magnetic tape for later analysis,

The system has been successfully operated under full daylight conditions at an elevation o f 1,000 feet above the water surface. The laser emits 300-kW, 200-nsec wide pulses with a beam divergence of 10 mrad and at a repetition rate of 1 pulse per second. At an average ground speed of 80

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feet/second, a s e r i e s of 10-feet diameter sampling points is produced, approximately 80 fee t apar t , below the a i rc raf t f l i g h t path. For the above described conditions, the system i s capable of resolving, w i t h good sensi- t iv i ty , sur face water chlorophyll 2 concentrations down t o 0.1 pg/l or less i n the presence of a h i g h solar background. Because of significant day-to- day and place-to-place variations in the ability of algae t o convert inci- dent radiation into fluorescence emission, calibration of the airborne fluorescence data i n terms of the equivalent chlorophyll a concentration is achieved by making several concurrent ground truth chlorophyll a deter- m i nations on grab samples from a small number of key reference s.i t e s located under the sensor f l i g h t path.

System evaluation has been conducted over a single, well -defined 10-km f l i g h t line located i n the Las Vegas Bay region o f Lake Mead, Nevada, where concurrent ground truth measurements were taken a t and between 14 sampling buoys located under the a i rc raf t f l i g h t path. Excellent agreement has been achieved between the airborne and ground truth measurements a f te r the fluorescence data have been corrected for variations i n surface water optical transmission using the Raman normalization technique. I n addi- tion, the airborne data have been shown t o be h igh ly reproducible when the measurements are repeated over the same f l i g h t path a short time later.

I t has also been shown that the water Raman return can be used t o monitor changes i n the optical at tenuation coefficient of surface waters. This was demonstrated by the h i g h correlation observed between the airborne water Raman data and the reciprocal of the beam attenuation coefficient data obtained from concurrent ground truth measurements.

References

Bristow, M . , D. Nielsen and R . Furtek, 1979. A Laser-Fluorosensor Technique for Water Quality Assessment. Proceedings of the 13th International Symposium on Remote Sensing of the Environment.

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Research Institute of Michigan, Ann Arbor, Michigan. April 23-27,

1979, pp. 397-417.

1.5 THE MULTIPLE LASER EXCITATION APPROACH TO LASER FLUOROSENSING

By W. Esaias, NASA-LaRC, Hampton, VA

A technique and instrument for remote measurements of both chlorophyll - a concentration and plankton color group diversity was developed at Langley Research Center under the Airborne Laser Oceanographic Probing Experiment (ALOPE). Four dye lasers operating at 454, 539, 598, and 617 nm differen- tially excite chlorophyll flourescence according to accessory pigment con- tent and interpigment energy transfer efficiencies. Flourescence is mon- i tored at 685 nm from each of the sequential excitations. Based on 1 abora- tory measurements o f fluorescence excitation cross section spectra for a variety of algal species, the fluorescence returns from the four excita- tions can be apportioned to contributions from four algal color groups: golden brown, green, blue-green, and red a1 gae. For marine environments especially, relative differences between golden-brown (diatoms and dino- fl age1 lates) and green (chlorophytes and nanoplankton) are very important in understanding the nature and dynamics of phytoplankton communities and their role in the marine ecosystem.

The accuracy of all in-vivo fluorescence techniques is dependent upon knowledge of the fluorescence cross section ( u ) and attenuation coef- ficients at the excitation and emission wavelengths, in order to estimate chlorophyll concentration.

Airborne LIDAR technology has advanced to the stage where the flight instruments are as accurate as conventional shipboard in-vivo fluoro- meters, and are limited by the same variabi 1 i ty of fluorescence cross- section within the populations. The Wallops Airborne Oceanographic LIDAR (AOL) recently demonstrated an excellent relationship between fluorescence and chlorophyll pigment concentration (r2 = .94, n = 10) over a range of

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0.2 -5 vg/1 near the mouth of Chesapeake Bay. The mean absolute error between measured values and those predicted by the regression was 10.2%.

Since fluorescence cross-sections of phytoplankton populations change with environmental conditions, chlorophyll pigment concentrations should be determined at a number of sea truth points during each field experiment for best results. For example, using only laboratory estimates of 0, with no chlorophyll sea truth, the ALOPE instrument has provided estimates o f total chlorophyll accurate to within a factor of 2 - 3 over the range of 5 - 25 vg/l (provided independent measures of attenuation coefficient, such as could be made using a water Raman detector). ALOPE estimates o f color group percent composition are relative rather than absolute measurements, and the resolution of the technique is of the order of 10%-20%.

It is impossible to distinguish between spatial variations of chlorophyll concentration and spatial variations in using single wavelength in-vivo techniques alone. Multiwavelength excitation techniques can at least distinguish that component of the variability arising from color-group- dependent variations of the cross section. Since this is a ratio technique somewhat independent o f chlorophyll concentration, a multiple wavelength technique can provide a second measure of phytoplankton spatial variability and "patchiness" which can be of great benefit in marine ecosystem dynamics research.

Farmer, F.H., et. al. 1980. Remote Sensing of Phytoplankton Density and Diversity Using an Airborne Fluorosensor, pp 151-167, in Advanced Concepts in Ocean Measurements for Marine Biology, F.P. Diemer, F.J. Vernberg, and D.Z. Mirkes, eds. Univ. South Carolina Press, Columbia, 575 pp.

Yentsch, C.S., and C.M. Yentsch 1979. Fluoresence Spectral Signatures: The Characterization of Phytoplankton Populations by the Use of excitation and Emission Spectra. J. Mar. Res. 37, 471-488.

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1.6 LASER REMOTE SENSING OF SEDIMENT LOAD ANDALGAL~ PIGMENTS

R.J. Exton, NASA-LaRC, Hampton, VA

A l a b o r a t o r y s t u d y was conducted t o s t u d y t h e m a j o r s p e c t r a l f e a t u r e s ( M i e , Raman and f l uo rescence) of l ase r -exc i t ed na tu ra l wa te r bod ies . The l a s e r s

employed i n c l u d e an argon- ion, a pu lsed Nd:Yag and a pu lsed N2 u l t r a v i o l e t laser. Surface samples were analyzed i n a l -meter tank us ing an o p t i c a l

mu l t i channe l ana lyze r (OM) hav ing a r e s o l u t i o n o f 2 nm. The r e s u l t s i n d i - c a t e t h a t f o r s i n g l e w a v e l e n g t h e x c i t a t i o n , t h e optimum wavelength i s

about 515-520 nm i n o r d e r t o o b t a i n t h e g r e a t e s t p e n e t r a t i o n i n t o t h e w a t e r

column and t o a v o i d s p e c t r a l i n t e r f e r e n c e s between t h e Raman and f l u o r -

escence s ignals. By e x c i t i n g i n t h i s r e g i o n , t h e OMA can e a s i l y r e c o r d and

separa te t he Raman sca t te r i ng caused by wa te r f rom the f l uo rescence o f t he

a lga l p igments , phycoery th r in and c h l o r o p h y l l . U s i n g t h e Raman s c a t t e r i n g

f rom water as an i n t e r n a l s t a n d a r d , t h e Mie/Raman r a t i o was shown t o be

propor t iona l to sed iment load . Phycoery th r in f luorescence( ' ) was a l s o

i d e n t i f i e d and can be measured i n an analogous method t o t h a t used f o r

c h l o r o p h y l l ( 2 ) . The spec t ra a l so showed t h e p r e s e n c e o f t h e u n d e r l y i n g

f luorescence due t o d i s s o l v e d o r g a n i c m a t t e r and s p e c t r a l u n f o l d i n g o f t h i s component showed a r e a s o n a b l e c o r r e l a t i o n w i t h d i s s o l v e d o r g a n i c c a r -

bon.

1.7 AIRBORNE OCEANOGRAPHIC LIDAR MEASUREMENTS

By Frank E. Hoge Wallops F l i g h t C e n t e r , NASA

Reviewed i n t h i s paper i s t h e r e c e n t p r o g r e s s i n t h e a i r b o r n e LIDAR

measurements o f (1) ocean wave p r o f i l e s and r e s u l t i n g s p e c t r a , ( 2 )

( l ) C . S. Yentsch and C. M. Yentsch, J. Mar. Res. - 37, 471 (1979).

(2)M. Bristow, D. N ie lsen, and R. Fu r tek , P roc . 13 th I n te r . Symp. Remote Sensing of Environment, Apr. 23-27, 1979, Ann Arbor, MI.

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bathymetry, ( 3 ) crude oil film thickness, (4) tracer dye concentration, (5) attenuation coefficient by depth-resolved Raman, (6) dissolved organic matter by fluorescence, (7) suspended solids via Mie scattering, and ( 8 ) chlorophyll through single wavelength excitation of the usual 685 nm fluorescence emission. The first four techniques are reasonably well established and are briefly reviewed. The remaining techniques are dis- cussed in depth. Available 381 nm depth-resolved Raman backscatter data show the high potential for this technique for extraction of water trans- mission properties. Dissolved organic matter, fluorescence spectral wave- form, and time-series data obtained during synoptic mapping missions in the German Bight region of the North Sea are given. Spectral channel-to- channel calibration techniques are briefly reviewed. Finally, the Mie scatter and chlorophyll data obtained during overflights in the Chesapeake BaylAtlantic Ocean regions are discussed. In particular, the excellent stability and repeatability of the AOL data are demonstrated with the chlorophyll and Raman data obtained on two successive, overlapping flight- lines. Possible airborne LIDAR techniques to remove the specular reflec- tion component of the airborne Mie scatter data are considered.

- Bibliography

F. E. Hoge, R. N. Swift, and E. 6. Fredrick, 1980: "Water Depth Measure- ment Using An Airborne Pulsed Neon Laser System," Applied Optics 19, No. - 6, 871-883.

F. E. Hoge and ficients o f H 1150.

J. S. Kincaid, 1980: ighly Absorbing Liqu

"Laser Measurement of Extinction Coef- ids," Applied Optics 19, No. 7, 1143- -

F. E. Hoge and R. N. Swift, 1980: "Oil Film Thickness Measurement Using Airborne Laser-Induced Water Raman Backscatter," Applied Optics 1 9 , NO. 19, pp. 3269-3281.

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F. E. Hoge and R. N. Swift, 1980: "Airborne Oceanographic LIDAR (AOL) Data A c q u i s i t i o n Modes and Recent Results," i n Proceedings, Ocean Remote Sensing Using Lasers, Howard R. Gordon, Ed., NOAA Techn ica l Memorandum ERL PMEL-18, Seatt le, Washington.

F. E. Hoge and R. N. Swift, "Absolute Tracer Dye Concent ra t ion Us ing Air- borne Laser-Induced Water Raman Backscat ter , " (Manuscr ip t submi t ted) .

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SECTION 11. DISCUSSION GROUP SUMMARIES

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SECTION 11. DISCUSSION GROUP SUMMARIES

11.1 LIDAR APPLICATI~ONS TO PHYTOPLANKTON DYNAMICS

Chairman: D r . John Steele, Woods Ho le Oceanograph ic I ns t i t u t i on

I n c o n s i d e r i n g p a t c h i n e s s and p r o d u c t i v i t y , l a r g e r measurement sca les than those addressab le quas isynopt ica l l y f rom sh ips and sma l le r sca les t han those p resent ly addressab le f rom sa te l l i tes a re necessary . Zoop lank ton- phy top lank ton in te rac t ions p roduce measurab le changes i n c o n c e n t r a t i o n s on tempora l sca les o f t he o rde r o f hou rs t o days and on s p a t i a l s c a l e s f r o m meters to tens o f k i l o m e t e r s .

U s i n g e x i s t i n g (non-LIDAR) technology, towed "Bat f ish" types o f p la t forms ( c o n t a i n i n g CTD's, f l uo romete rs , and o p t i c a l p a r t i c l e c o u n t e r s ) " p o r p o i s e " through a v e r t i c a l c y c l e each 1 / 2 km i n t o w i n g d i s t a n c e , m i s s i n g t h e smal ler patches. On t h e o t h e r hand, t h e CZCS s a t e l l i t e system i s l i m i t e d as fo l l ows : (1) i t canno t ope ra te a t l ow a l t i t udes , t hus i s wea the r r e s t r i c t e d , ( 2 ) t h e l a r g e CZCS " f o o t p r i n t " (800 m x 800 m minimum) makes s u r f a c e v a l i d a t i o n f r o m s h i p s d i f f i c u l t because plankton and suspended p a r t i c l e p a t c h i n e s s o c c u r i n t h r e e - d i m e n s i o n s , and ( 3 ) t h e v e r t i c a l s t r u c - t u r e i n t e m p e r a t u r e , c h l o r o p h y l l , and zoop lank ton (us ing SONAR) cannot be addressed.

Whi le a i rborne LIDAR systems can address the "scale" and p a r t o f t h e v e r - t i c a l s t r u c t u r e p r o b l e m s , t h e y p r e s e n t l y c a n n o t p r o v i d e a c c u r a t e enough temperature data (now o n l y +lo t o - +3O C) nor have they been shown a b l e t o

measure zooplankton concentrat ions. The present systems can probably pro- v i d e p a r t i c l e c o n c e n t r a t i o n measurements t o d e p t h s o f 20m t o 40m ( o n e t o two a t t e n u a t i o n l e n g t h s f o r b l u e l i g h t ) i n c l e a r w a t e r ( t h i s has n o t been t e s t e d ) , b u t t h e v e r t i c a l maximum i n t h e c h l o r o p h y l l c o n c e n t r a t i o n u s u a l l y

occu rs a t dep ths equ iva len t t o t h ree o r f ou r a t tenua t ion l eng ths .

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Inclusion of the chlorophyll maximum is undoubtedly critical to measure- ments of the standing crop of chlorophyll (phytoplankton) and to estimates of water column primary productivity.

Towed, submerged LIDAR systems should be able to address the vertical structure of chlorophyll and the zooplankton/phytoplankton interaction problems if the "fish" is also SONAR-equipped. The addition of a ther- mistor chain to the tow line would permit accurate temperature information to be gathered as we1 1. The maximum effective SONAR range for zooplankton is 5 to 20 m, while that for LIDAR fluorosensing of chlorophyll is 10-20 m maximum due to the large attenuation at 685 nm. A two-wavelength back- scatter approach such as is used for CZCS determinations o f chlorophyll (e.g., 440 nm and 520 nm) may extend the LIDAR chlorophyll sensing range to perhaps 40 m in clear water. Conceivably then, if the tow body were towed at 20 m depth, a cylindrical swath of coverage for LIDAR and SONAR of as much as 40 m diameter might be sampled. A return track tow at 50 m could provide a 10 m over1 ap with the previous sample volume and sti 1 1 extend the measurements to 70 m. For krill and fish, the SONAR range could be extended by using lower frequencies so that a cylindrical sampling volume o f perhaps 80 m diameter could be investigated in a single pass, matching the clear water sampling volume addressable with LIDAR. This, in most cases, would permit the entire mixed layer and euphotic zone to be sampled in one pass, including the chlorophyll maximum layer.

One potential contribution that simultaneous LIDAR determinations o f

chlorophyll and particle concentration may provide is a measure of the "quality" (chlorophyl l/cell) of chlorophyll. A change in the "quality" o f chlorophyll may reflect upon the condition (e.g., log growth, senescence) or "robustnessii of the phytoplankton populations.

Additional laboratory work is needed to better understand the fluorescence cross-section of phytoplankton from the various color groups under a range of environmental conditions. The utility of attempting to characterize

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phytoplankton "in-situ" in terms of their color group is as yet unclear. However, the significance o f phycoerythrin-bearing organisms as primary producers has recently been touted. Extension of the important work of R. Exton in attempting to quantify phycoerythrin fluoresence should be encouraged, as LIDAR permits us to measure phycoerythrin fluorescence (570 nm) and chlorophyll fluoresence (680 nm) simultaneously (stimulated by light at 530 and 430 nm, respectively).

11.2 LIDAR APPLICATIONS TO PHOTOCHEMISTRY

Chairman: Dr. Oliver Zafiriou, Woods Hole Oceanographic Institution

Both the dissolved and particulate fluorescers in the oceans appear to give rise to detectable LIDAR signals of sufficient magnitude to obscure the Raman returns from even abundant constituents, such as sulfate (R. Exton, person comnunication). This situation holds potential both for advancing our study of organic photochemistry in the oceans and for potential LIDAR applications. Further studies of the sources and decay processes of the fluorescers and the closely related "Gel bstoffe" in seawater and natural waters will enhance our knowledge of the chromophores, which may be of major importance in marine photoprocesses. Conversely, if the behavior of these materials were better understood, for the shorter wavelength signals (probably originating in dissolved materials) the strong LIDAR return would be more amenable to interpretation.

A second area in which LIDAR data may be useful to marine photochemists is in the determination of optical attenuation lengths. Although Jerlov and others provided rough maps of such properties, our detailed understanding of light penetration at different wavelengths into the sea is poor; thus, our ability to model depth dependence quantitatively is restricted by an inadequate data base. It would be especially valuable to have more reli- able estimates of light penetration in the near U V range, as such measure- ments are extremely sparse. For example, attenuation lengths at 337 nm would be quite useful; as such information may be gathered also for other

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purposes i n LIDAR applications, i t is important t ha t the data are actually stored and made available in useful form (e.g. not simply applied i n real time t o normalization factor calculations) for photochemical interpreta- t ion.

A third area of overlap between basic studies and LIDAR applications i s i n the determination and understanding of fluorescence decay times of fluorescers: the fluorescence lifetime i s related t o the chemical s t ruc- tu re involved and the physical environment of tha t s t ruc ture on the one hand, and i s thus of in te res t t o the marine photochemist. The l i fe t ime also has practical consequences for range-gated LIDAR i n that signal decay times longer than about 5 ns can be expected t o degrade the performance of range-gated systems using range increments on the scale of one meter or mor e.

11.3 LIDAR RADIATIVE TRANSFER A N D SIGNAL INTERPRETATION

Chairman: Dr. Howard Gordon, University of Miami

Although LIDAR fluorescence signals from chlorophyll and water Raman have correlated quite we1 1 w i t h chlorophyll (directly) and suspended sol i d con- centrat i ons (inversely), respectively, the radiative transfer process involved i s n o t well understood. The attenuation coefficient involved i n the process appears t o be a hybrid o f diffuse attenuation "K" and beam attenuation "c". The actual coefficient probably depends strongly on the geometry of the viewing system and on the " turbidi ty" of the water. Radi a- tive transfer modelling, "in-situ" measurements of ocean optical proper- t i e s , and short-pulse, range-gated LIDAR measurements should be suf f ic ien t t o understand the physics o f the problem. Then the deconvolved LIDAR f luorescmce measurements as a function of depth can be compared t o " i n - situ" chlorophyll determinations.

To improve the present accuracy (+lo C ) of water-Raman-inferred tempera- tures using polarization spectroscopy, a better understanding of the

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depolarization effects of ocean particles is needed (depolarization of 1% gives a 1' C error in temperature). Measurements of the Mueller matrix components in the near-forward and near-backward directions of various suspensions of monospecific phytoplankton and other single component types of ocean particulates and their input to radiative transfer models of LIDAR-induced Raman spectroscopy may be sufficient to permit improvements in Raman-temperature accuracy by partially correcting for particle depolarization effects.

At present, it i s unclear what the lower limit of detectablity with existing LIDAR systems is for chlorophyll, dissolved organic carbon, and total suspended solids. None of these systems have operated over clear, open-ocean water as yet. This information is critical to any evaluation of LIDAR utility for assisting in the CZCS validation effort, since CZCS determinations as low as 0.05 pg/1 chlorophyll have been made and are typical of mid-oceanic values. Only a few LIDAR chlorophyll values as low as 0.1 pg/1 have been made; most flights have been made over more produc- tive waters.

It is clear that given a better understanding of the oceanic radiative transfer functions of LIDAR systems, they will have great utility if applied to mixed layer dynamics and CZCS validation, by measuring suspended particle concentrations and fluorescence as a function of depth. The LIDAR measurement of three-dimensional diffusion rates of fluorescent dye and the growth, advection, and dissipation of phytoplankton patches are examples of mixed-layer dynamics presently addressable by LIDAR sys- tems.

In future systems, the limited depth range from which chlorophyll fluor- escence can be detected because of the large water attenuation coefficient o f red 1 i ght (685 nm) can probably be ci rcumvented by using two 1 ow- attenuation laser wavelengths (e.g., 440 nm and 520 nm). Reflected signals at each wavelength can be range-gated and then ratioed, to extract a

1 7

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"color-derived" chlorophyll concentration as a function of depth. A similar spectral comparison without depth resolution is presently being used to extract chlorophyll information from CZCS data. The advantage of this technique i s tha t a f te r t rave l ing t h r o u g h 10 meters of "Jerlov Type I" (clear ocean) water, there i s about 70 times as much blue (440 nm) and green (520 nm) 1 i g h t remaining as red (685 nm) 1 i g h t , given equal source radiances. Radiative transfer modelling of this approach together w i t h color reflectance spectra measurements of representative phytoplankton groups should be pursued i n addition t o modifying an exis t ing LIDAR system t o allow range-gating simultaneously a t two wavelengths.

Mounting a range-gated LIDAR system on a submerged, towed vehicle or "fish" and configuring the optics to scan radially about the tow direction would result in a cylindrical sampling volume w i t h a diameter as large as 60 t o 100 m for clear waters (Jerlov types I1 or I) u s i n g the two-color technique suggested above (assuming a nominal range of two attenuation lengths). For phycoerythrin fluorescence ( =580nm) the sensing d i ameter would be about one-half the two-color chlorophyll diameter, and fo r chlorophyll fluor- esence ( =685nm) i t would be about 10 m. In the near field, chlorophyll fluorescence measurements could be compared with two color chlorophyll determi n a t i ons fo r cal i brat i on purposes.

11.4 LIDAR TECHNOLOGY: PRESENT AND FUTURE

Chairman: R . J . Exton, NASAILangley Research Center

LIDAR AIRCRAFT

One of the most important considerations i n the 'design of an a i r c r a f t LIDAR system is detection of the weak signals. For this reason, i t appears t h a t photomul t i p l ie rs w i 11 be required i n a1 1 systems i n the near furture. In this regard, the Airborne Oceanographic LIDAR. ( A O L ) w i t h i t s 40 photo- multipliers represents the only viable way of a t ta ining complete spectra a t t h i s time. Other systems are also i n use today us ing f i l t e r s and photo-

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mult ipl iers for specif ic wavelengths (const i tuents) , b u t i t is highly desirable to obtain complete spectra i n order to properly evaluate the e f f ec t of spectral in terferents . An updated AOL should include increased resolution (factor of 2 possible w i t h grating change) and wavelength t u n - a b i l i t y i n the laser (planned for the future).

I n the plenary session, a desire of the user comnunity was expressed for a simplified, inexpensive version of the AOL which could be used on a more routine basis. One poss ib i l i ty for such a system using a helicopter was proposed which could also be used to obtain sea surface truth a t selected locations. Using the low alt i tude capabili ty afforded by helicopter, i t may be possible t o employ a less sensi t ive, sol id s ta te detect ion system which could be coupled w i t h a spectrometer t o yield the ent i re spectrum i n the integrated signal mode.

L I DAR SH I PBOARD

For shipboard measurements, an AOL type configuration can cer ta in ly be employed w i t h a submerged window for entering the water column. For the integrated signal mode, an Optical Multichannel Analyzer (OMA) configura- t i o n could eas i ly be used. The laser/OMA technique is present ly being investigated at the Langley Research Center for use on shipboard and also for use on a towed submersible (fiber optic transmission and reception).

RANGE GATING

Range gating i n order to obtain depth information on an oceanographic para- meter is technical ly feasible today. The AOL system is presently capable of obtaining time resolved data i n selected channels. I t s h o u l d be recog- nized, however, t ha t range gating, i n practice,’ is not an easy task and places severe constraints on the available signal. I n addition, the data collection from many simultaneous channels presents a problem i n data recording and storage. However, components sui table f o r the gating task are comnercially available. Such equipment, lasers w i t h Q - J ~ - ns pulse

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widths, good gain photomultipliers w i t h Q1 - ns risetimes, and nsec r a t e t rans ien t d ig i t izers , wi l l allow water column measurements w i t h about one meter vertical resolution.

WAVELENGTH OPTIMIZATION

The question o f the optimized wavelengths t o be employed i n laser excita- tion experiments was posed and the response involves several answers. Obviously, the selection between a number of available, f ixed laser wave- lengths depends on the parameters t o be sensed. For a s ingle wavelength system, there was a consensus among the group that the laser output should be located in the range 515 - 520 nm i n order to avoid spectral overlaps and t o maximize the penetration of the 1 i g h t i n t o the water. If a two- color system is considered, i t would be possible to choose wavelengths which would allow better definit ion of algae color groups i n a manner analogous to the four-color Airborne LIDAR Oceanographic P r o b i n g Experi- ment ( A L O P E ) system. I t was also proposed tha t Mie returns from a two- color system w i t h wavelengths matched t o the CZCS v i s ib le bands may allow chlorophyll measurements t o be made w i t h depth, a task which may be impos- s ib le to do w i t h measurements made a t the much attenuated chlorophyll fluorescence wave1 ength o f 685 nm. Finally, i t was suggested that the ultimate research LIDAR would involve a dynamically tuned laser coupled w i t h a real-time spectral coverage o f the returned signal. W i t h such a system, a trained observer could logically probe the opt imum excitation conditions for unfolding a variety of oceanographic parameters.

ACCURACY

The accuracy associated w i t h LIDAR measurements a re d i f f i cu l t t o quote a t t h i s time. The absolute accuracy i s determined by the sea-truth techniques which are well known. I t was f e l t , however, that the reproducibi l i ty of the chlorophyll fluorescence signals obtained by the LIDAR methods are considerably better than the present-day laboratory methods. I n this sevse, improvements i n the absolute accuracy of LIDAR chlorophyll

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measurements will track, one-to-one, the improvements made in the sea- truth calibration data.

Regression analysis of laboratory Raman returns indicates that Raman supression compares with the diffuse attenuation coefficient within 210%. Mie/Raman normalized returns compare with suspended particulate matter (SPM) values within - +15%. SPM calibration curves will change with particle size and index of refraction (e.g., differ for clay- or phytoplankton- dominated hydrosols,) so interpolation between ground truth data is best for heterogeneous particle regions.

FUNDAMENTAL STUDIES

From the standpoint of absolute measurements, there are several areas where additional studies are needed to define the measured parameters. The most important of these is the variation of the fluorescence cross-section of algae with light history, temperature and nutrient effects. Although these effects have previously been delineated in the literature, a reexamination of these effects with the methods and specific wavelength employed in LIDAR sensing would appear in order.

With respect to range gating, a concurrent study of the radiative lifetimes of phycoerythrin, DOM, and chlorophyll is required to establish the limi- tations on time-resolved spectra of these constituents.

Finally, the measurements of phycoerythrin require the development of a laboratory method of extracting and quantifying this pigment before corre- lations with remote data are possible. In this connection, it would be desireable for the oceanographic community, to indicate the importance of phycoerythrin to oceanographic sensing in general, and more specifically, the role played by phycoerythrin in photosynthesis.

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.. . ." ." ..

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APPENDIX A. AGENDA

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1445 DISCUSISON GROUPS:

a. LIDAR Applications to Phytoplankton Dynamics

b . LIDAR Applications in Photochemistry

c. LIDAR Radiative Transfer and Signal Interpretation

d. LIDAR Technology: Present and Future

1645 Plenary Session: Discussion Group Summaries

1715 A D J 0 U R N M E N T

NOVEMBER 14, 1980

0830 We1 come

0845 Plenary Session: General Discussion o f Group Summaries to Include Airborne and Submerged LIDAR Capabilities and Accuracies Required by Scientific Disciplines, and Deliverable (Present and Future) by LIDAR Technology.

09 30 Discussion Groups: Utility of Present and Future LIDAR Systems for Oceanographic Research

1045 B R E A K

1100 Plenary Session: Discussion Group Summaries

1200 A D J 0 U R N M E N T

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APPENDIX B. WORKSHOP PARTICIPANTS

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AGRAWAL, Y

APPENDIX B. WORKSHOF PARTICIPANTS

Oceanographic LIDAR Workshop November 13, 15, 1980

Ish, D r . Woods Ho le Oceanograph ic I ns t i t u t i on Woods Hole, MA 02543 (617) 548-1400, ext. 2788

BARNES, Wi 11 i am, D r . NASA, Goddard Space F l i g h t C e n t e r Code 941 Greenbel t , MD 20771 ( 301 ) 344-6465

BLIZARD, Marvin, M r . O f f i ce o f Nava l Research , Code 486 NSTL S ta t i on , MS 39529 (601 ) 688-4827

BRISTOW, Michael , D r . Env i ronmen ta l P ro tec t i on Agency P. 0. Box 15027 Las Vegas, Nevada 89114 (702) 798-2272, FTS 595-2272

BROWN, O t i s , D r . RSMAS/MPO 4600 Rickenbacker Causeway Miami, FL 33149 (305) 350-7491

BYRNE, Robert, D r . U n i v e r s i t y o f S o u t h F l o r i d a 830 1 s t S t r e e t S o u t h St. Petersburg, FL 33701 (813) 893-9130

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CARDER, K.L., Dr. NASA Headquarters, EBC-8 Washington, D.C. 20546 (202) 755-8576

CLARK, Dennis, Dr.

World Weather Building, Room 810 Camp Springs, MD

NOAA-NESS

( 301 ) 763-8036

COLLINS, Donald, Dr. J e t Propul s i on Laboratory

4800 Oak Grove Drive Pasadena, CA 91109

M. S. 183-601

(213 ) 354-3473

DENMAN, Kenneth, Dr. I n s t i t u t i o n of Ocean Sciences P . 0. BOX 6000 Sidney, B.C. V8L 462, CANADA (604) 656-8346

ESAIAS, Wayne, Dr. Langley Research Center NASA M. S. 272 Hampton, VA 23665 (804) 827-2871, FTS 928-2871

EVANS, Geoffrey, Dr. Woods Hole Oceanographic Inst i tut ion Woods Hole, MA 02543 (617) 548-1400, ext. 2509

EXTON, Reginald, Dr. Langley Research Center NASA M . S. 235A Hampton, VA 23665 (804) 827-2791

GORDON, Howard, Dr. Physics Dept. University of Miami Coral Gables, FL 33124 (305) 284-2323

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!I

HICKMAN, G. Danie l , M r . Appl ied Science Technology, Inc. 1011 Ar l i ng ton B l vd . , Su i te 317 A r l i n g t o n , VA 22209 (703) 524-7081

HOGE, Frank, D r . NASA Wall ops Wal lops Is land, VA 23337 (804) 824-5567, FTS 928-5567

JUMARS, Peter, D r . O f f i ce o f Nava l Research Code 484 800 N . Quincy S t . A r l i n g t o n , VA 22217 (202) 696-4395

KIEFER, Dale, D r . Dept. o f B i o l o g y U n i v e r s i t y o f S o u t h e r n C a l i f o r n i a Un ive rs i t y Pa rk Los Angeles, CA 90007 (213) 743-6911

KIM, Hongsuk, M r . NASA Goddard Space F l i g h t C e n t e r Code 941 Greenbel t , MD 20771 (301) 344-6465

LEONARD, Donald, M r . Computer Genet ics Corpora t ion Wakefield, MA 01880 (617) 246-2838

MOODY, John, M r . OAO Corpo ra t i on 50/50 Powder Mill Road B e l t s v i 11 e, MD 20705 (301) 937-3090

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MUELLER, James, D r . Dept. o f Oceanography Code 68My Naval Postgraduate School Monterey, CA 93940 (408) 646-2552

PLATT, Trevor, Dr. Mar ine Eco logy Labora tory B e d f o r d I n s t i t u t e o f Oceanography Dartmouth, Nova S c o t i a B2y 4A2 (902) 426-3793

POOLE, Lamont R., M r . NASA Langley Research Center M. S. 272 Hampton, VA 23665 (804) 827-2871

RUTTENBERG, Stan, D r . Execut ive Secretary , NSWG Nat ional Center for Atmospher ic Research P. 0. Box 3000 Boulder , CO 80307 (303) 494-5151, e x t . 363

SMALL , L a r r y , D r . School o f Oceanography Oregon S t a t e U n i v e r s i t y Corval l i s , OR 97331 (503) 754-2991

SMITH, Raymond, D r . V i s i b i 1 i t y L a b o r a t o r y P-003 S c r i p p s I n s t i t u t e , UCSD LaJol la , CA 92093 (714) 292-5534

STEELE, John, Dr. D i r e c t o r Woods Hole Oceanographic I n s t i t u t i m Woods Hole, MA 02543 ( 61 7) 548- 1400

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STOWELL, David, D r . OAO Corpo ra t i on 50/50 Powder Mil 1 Road B e l t s v i 11 e, MD 20705 (301) 937-3090

TIPPER, Ronald, Dr. Office o f Naval Research Code 484 NSTL S ta t i on , MS 39529 (601) 688-4827

WILLEMS, R.C., D r . ONR East Bldg. 114, Sect. D 666 Summer S t . Boston, MA 02210 (617) 542-8542

YENTSCH, Charles, D r . D i rec to r o f Research B i g e l o w L a b o r a t o r y f o r Ocean Sciences McKnown Po in t , West Boothbay Harbor, ME 04575 (207) 633-2173

ZAFIRIOU, O l i v e r , D r . Woods H o l e O c e a n o g r a p h i c I n s t i t u t i o n Woods Hole, MA 02543 (617) 548-1400, ex t . 2342

ZAITZEFF, James, D r . NOAA-NESS

ZANEVELD, Ronald, D r . School of Oceanography Oregon S t a t e U n i v e r s i t y C o r v a l l i s , OR 97331 (503) 754-2692

ZIKA, Rod, Dr. RSMAS 4600 Rickenbacker Causeway Miami, FL 33149 (305) 350-7457

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1. Report No. I 2. Government Accession No. I 3. Recipient's C a t a l o g No.

NASA CP-2194 I 4. Title and Subtitle 5. Report Date

August 1981 O c e a n i c Lidar

EBC -8 7. Authork) 8. Performing Organization Report No.

Kendall L . Carder , Edi tor 10. Work Unit No.

9. Performing Organization Name and Address 146-40-01-02 Oceanic Processes Branch Off ice of Space and Ter res t r ia l Appl ica t ions

11. Contract or Grant No.

NASA Headquar t e r s , Wash ing ton , DC 20546 13. Type of Repon and Period Covered

12. Sponsoring Agency Name and Address Conference Publ icat ion National Aeronautics and Space Administration Washington , DC 20546

14. Sponsoring Agency Code

I 15. Supplementary Notes

~~ ~~~ ~~~

16. Abstract ~~ ~

This is a repor t on the Oceanic L idar Workshop he ld a t the NASA Goddard Space F l ight Center on November 13-14, 1980. This meeting provided an opportunity for oceanographers to in te r face d i rec t ly wi th L idar ins t rumenta t ion spec ia l i s t s to con- s ider fu ture ins t rument concepts tha t would measure ocean tempera ture , ch lorophyl l , sed iment and "Gelbs tof fe" concent ra t ions in th ree d imens ions on a quan t i t a t ive , quas i - synop t i c bas i s . I nc luded a r e abs t r ac t s of p re sen ta t ions on Coas t a l Zone Color Scanner ch lorophyl l imagery , l aser -s t imula ted Raman tempera ture and fluores- cence spec t roscopy, ex is t ing a i rborne L idar and laser f luorosens ing ins t ruments , and the i r accurac ies in quant i fy ing concent ra t ions of ch lorophyl l , suspended sed i - ments and "Gelbstoffe ." Summaries are included from d i scuss ion g roups on L ida r app l i ca t ions to phytoplankton dynamics and photochemis t ry , L idar rad ia t ive t ransfer and s igna l i n t e rp re t a t ion , and L ida r t echno logy (p re sen t and fu tu re ) . An execu t ive summary is provided by Dr. Kenneth Denman.

7. Key Words (Suggested by Author(s)J 18. Distribution Statement

Oceanic L idar ch lorophyl l remote sensing temperature

Unclass i f ied - Unlimited

d i f fuse a t t enua t ion primary productivity

_laserfluorosensinQ STAR Category ~~ . ____ 48 9. Security Classif. (of this report) 20. Security Classif. (of this page) 21. No. of Pages 22. Price' I Unclas s i f i ed Unc la s s i f i ed I A04

For sale by the Natlonal Technical Information Service, Sprinefield, Virginia 22161

NASA-Langley, 1981