use of remote sensing data to determine stress factors for ... · use of remote sensing data to...
TRANSCRIPT
Use of remote sensing data to
determine stress factors for the SALUS
model
1URS SCHULTHESS 2ZIA UDDIN AHMED
3JOE T. RITCHIE
1,2 CIMMYT Bangladesh, House 10/B, Road 53, Gulshan 2, Dhaka
1215, Bangladesh
3 Professor Emeritus, Homer Nowlin Chair, Michigan State University, East Lansing, MI 48823,
Forcing of a crop simulation model with
ground cover derived from remote sensing
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Stress detection with remote sensing
• Thermal data for water stress
• Optical data
– NDVI
• GreenSeeker & GreenSat, use of a well fertilized reference strip
– Red-edge based indices for chlorophyll status
– Fluorescence for rate of photosynthesis, RUE
– Photochemical reflectance index (PRI) for rate of
photosynthesis, RUE
Model for irrigation scheduling
Ground Cover (%) from remote sensing
Daily Weather • Tmax • Tmin • Solar radiation • Precipitation
Forecasted irrigation need
(yes/no)
Water table depth
MODEL
RGB Sony NEX-7
Wavelength
(nm)
1 ILS -
2 Green 525-535
3 Red 675-685
4 Red-edge1 705-715
5 Red-edge2 735-745
6 NIR 795-805
Channel Name
MiniMCA (Tetracam)
Thermal camera Optris PI 400
Altitude(m) RGB MiniMCA Thermal
15 0.3
65 1.2 12
100 5
Resolution(cm)
Ground cover and canopy temperature on
March 27
Dry Wet Intermediate
Dry
Dry
Wet
Wet
Intermediate
Intermediate
Temperature reduction factor to control leaf
expansion
trfegro.dat 7 -99 0 6 0 8 0.05 23 1 34 1 43 0 99 0
Photochemical reflectance index (PRI)
Source: Peñuelas, Josep, Martin F. Garbulsky, and Iolanda Filella. "Photochemical reflectance index (PRI) and remote sensing of plant CO2 uptake." New Phytologist 191.3 (2011): 596-599.
Leaf Size Analysis: Length and width measured with
Google SketchUp: https://www.sketchup.com/de
Examples of PRI/NDVI vs Leaf Area
(individual leaf)
Barisal, March 12 Leaf Area [cm2] = 172.85249 + 10.113794*PRI/NDVI R2 = 0.54
Kalapara, Feb 28 Leaf Area [cm2] = 148.73649 + 6.9412593*PRI/NDVI R2 = 0.48
Examples of PRI/NDVI vs Leaf Area
(individual leaf)
Kalapara, March 13 Leaf Area [cm2] = 329.79811 + 6.8204081*PRI/NDVI R2 = 0.36
Patuakhali, March 14 Leaf Area [cm2] = 210.53355 + 1.9893104*PRI/NDVI R2 = 0.14
Prediction of relative leaf size as function of
(PRI/NDVI). Each point represents the average
measured at a given acquistion date
Y = 0.83 + 0.53*x R2 = 0.55 Y = 0.83 + 0.68*x R2 = 0.37
Recommended reading
• Magney, T.S., Vierling, L.A., Eitel, J.U.H., Huggins,
D.R., Garrity, S.R., 2016. Response of high
frequency Photochemical Reflectance Index (PRI)
measurements to environmental conditions in
wheat. Remote Sens. Environ. 173, 84-97.
•
…. At last, dancing in the rain
With great support from: Amirul Islam, Mohamed Atikuzzamman, Mustafa Kamal, Rokon Golam Morshed, Saiful Azim, Shah Al Emran and Shahidul Islam