raleigh gis day 2019 - files.nc.gov mineral and land... · map sheet, north carolina. usgs, open...

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The advent of multispectral satellite imaging has enabled surficial geologic map- ping to be performed remotely. Using light wavelength ranges in both the visible and non-visible spectra, these images can be utilized to interpret surface litholo- gies and placer deposits. Using ArcMap 10.6 raster processing tools, this study is using spectral band combinations and ratios from imagery captured by the Operational Land Imager (OLI) onboard the Landsat 8 satellite (an Earth observa- tion collaboration between NASA and USGS) in order to locate surface deposits of iron oxide- and hydroxyl-rich materials. In humid environments lateritic deposits are frequently associated with phosphate minerals such as monazite - one of the most abundant phosphate minerals bonded with rare-earth elements (REE). By identifying areas rich in iron oxide- or hydroxyl-bearing minerals, then comparing these identified areas to other sources of lithologic data - including previously constructed geologic maps and drilling borehole records - this study anticipates aiding in locating areas of high potential for REE-bearing minerals recovery. Background Background Discussion / Outlook Discussion / Outlook Methods Methods Geologic Setting Geologic Setting Results Results Landsat 8 Spectral Band Wavelengths Landsat 8 Spectral Band Wavelengths References References Summary Summary Question: Task: Results: Discussion: Is it possible to use satellite remote sensing imagery to delineate heavy metal placer deposits in the humid, heavi- ly-vegitated eastern United States? Use previous geologic mapping in a target area to provide a base for accuracy for light wavelength band false-coloring reimaging method. Preliminary analysis, before a detailed supervised classifica- tion and a detailed field lithologic mapping effort, appears promising - if potentially limited. Future detailed analysis, using different points of time from the same location, should provide a depositional rate for current processes which can help form paleo-models. The methodology presented here involves the use of compound band rations to identify areas where one or more specific spectral absorption features are pres- sent. Phosphate minerals -the REE-bearing monazite, in particular- are heavily ass- ociated with Fe-oxide deposits (Elliott et al., 2018). Fe-oxide placer deposits are identified from reprocessed satellite imagery. Procedural process: - Download Landsat 8 imagery from USGS-EarthExplorer (path15, row35) - Create band composite (bands 1-7, bands 9-11; band 8 is the panchromatic band) - Ture color: red = band 4, green = band 3, blue = band 2 - Make 2-7 floating points - Create composite images with the following RGB ratios: (B4/B2), (B6/B7), (B6/B5) - Overlay composite image over georectified lithologic map (see Landsat 8 Spectral Band Wavelengths table) The Roanoke Rapids 1:100,000 map sheet (Weems and Lewis, 2007) straddles the Coastal Plain/Piedmont boundary in northernmost North Carolina (Fig. 1). The USGSrecovered one core and augered 97 research test holes for the area. Within the lithologic descriptions some formations were described as having “dark heavy minerals”. The area of interest for this research is in the southwestern corner of the Roanoake Rapids 1:100,000 map area (specifically the Red Oak and Drake 1:24,000 quadrangles). Fig. 1. Study location Spectral Bands B2 - Blue B3 - Green B4 - Red B5 - Near Infrared (NIR) B6 - Shortwave Infrared 1 B7 - Shortwave Infrared 2 B8 - Panchromatic B9 - Cirrus B10 - Thermal Infrared 1 B11 - Thermal Infrared 2 B1 - Ultra Blue (aerosol) Wavelength (micrometers) Resolution (meters) 0.43 - 0.45 0.53 - 0.59 0.45 - 0.51 0.64 - 0.67 0.85 - 0.88 1.57 - 1.65 2.11 - 2.29 0.50 - 0.68 1.36 - 1.38 10.60 - 11.19 11.50 - 12.51 30 30 30 30 30 30 30 15 30 100 100 Tc - Chowan River Formation (upper Pliocene) Tym? - Moore House Member(?) (middle Pliocene) The 1:100,000 Roanoke Rapids mapping area, delineated by Weems and Lewis (2007), provides a convenient control base-layer for cursory first-order analysis of the image bands combining/ratioing method (Fig. 2). Planned drilling operations in the study area, with detailed lithologic mapping (Farrell et al., 2012) will provide the detailed field analysis to provide a more detailed quality control estimation for this method in a humid and heavily vegetated research area. In Fig. 2, the results of the image band ratioing can be seen. In the image yellow specifies the hydrothermally-altered areas; black identifies water, dark green specifies vegetation; and the clays-rich rock is represented by the light green. The blue highlights sands athe the red-pink-magenta areas indicates iron oxides minerals. It is clear that there is significant matching overlay of the lithology layer and the potential iron oxides-rich placer soil underlain, especially at, and near, the outlines. A more quantified analysis of the results will be provided by a supervised classification procedure from the following workflow: (1) Create a subset of bands for the classification; (2) Create training samples; (3) Evaluate training samples; (4) Manage training samples; (5) Execute interactive supervised classification; (6) Create signature file; (7) Execute a maximum likelihood classification procedure Fig. 2. Lithology overlaying image band false- coloring in a portion of the two-quadrangle study area Traditionally, satellite remote sensing techniques have only had a high degree of success is arid, bare-earth (sparsely vegetated) target areas. This research has had promising preliminary results when considering the process as a tool for culling a larger field area to more potential sites for surface and near-surface heavy mineral rich placer deposition. Rationing techniques and geologic image interpretation date back to the early days of air photo geology and the early Landsat multispectral scanner data sets. Landsat images have been used for many years by the geologic remote sensing community for mapping of lithology and delinetation of lineaments specifically to map alteration mineralogy in arid, bare-earth areas. The potential for heavy mineral placer delineation, even in heavily vegetated areas, is an underlooked research investigation line. If iron-oxide mineral deposits can be used to locate REE-bearing phosphate minerals (such as monazite), that tend to deposit together, then a deposition model for currently forming placers can be built from this technique. Contact: Jim Chapman, Senior Geologist - Oil and Gas Program [email protected] / 919-707-9231 / 1612 MSC, Raleigh, NC 27699 generalized Atlantic Seaboard Fall Zone (Watson, 1910) - Elliott, W. Crawford, E, Gardner, Daniel J., Malla, P., and Riley, E. (2018) A new look at the occurrences of the rare- earth elements in the Georgia kaolins. Clays and Clay Minerals, Vol. 66, 245-260. - Farrell, Kathleen M., Harris, W. Burleigh, Mallison, David J., Culver, Stephen J., Riggs, Stanley R., Pierson, Jessica, Self-Trail, Jean M., and Lautier, Jeff C. (2012) Standardizing Texture and Facies Codes for a Process-Based Classification of clastic Sediment and Rock. Journal of Sedimentary Research, Vol. 82, 364-378. - Watson, Thomas L. (1910) Granites of the Southeastern Atlantic States, Bulletin 426, USGS. - Weems, Robert E. and Lewis, William C. (2007) Detailed Sections from Auger Holes in Roanoke Rapids 1:100,000 Map Sheet, North Carolina. USGS, Open File Report 2007-1092. Suggested citation: Chapman, James S. and Taylor, Kenneth B., 2019, Rare-Earth Elements Minerals Placer Deposition Modeling From Landsat 8 Multispectral Remote Imaging in a Section of North Carolina‘s Northern Coastal Plain: North Carolina Geological Survey, Open-File Report 2019-09. One panel. James S. Chapman, PG and Kenneth B. Taylor, PhD, PG North Carolina Geological Survey Rare-Earth Elements Minerals Placer Deposition Modeling From Landsat 8 Multispectral Remote Imaging in a Section of North Carolina’s Northern Coastal Plain NORTH CAROLINA DEPARTMENT OF ENVIRONMENTAL QUALITY MICHAEL S. REGAN, SECRETARY DIVISION OF ENERGY, MINERAL, AND LAND RESOURCES S. DANIEL SMITH, DIRECTOR NC GEOLOGICAL SURVEY KENNETH B. TAYLOR, SECTION CHIEF AND STATE GEOLOGIST Raleigh GIS Day 2019 Wednesday, 13 November 2019 9:00 am - 3:00 pm RALEIGH UNION STATION 510 W Martin Street, Raleigh, North Carolina NORTH CAROLINA GEOLOGICAL SURVEY OPEN-FILE REPORT 2019-09

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Page 1: raleigh gis day 2019 - files.nc.gov Mineral and Land... · Map Sheet, North Carolina. USGS, Open File Report 2007-1092. Suggested citation: Chapman, James S. and Taylor, Kenneth B.,

The advent of multispectral satellite imaging has enabled sur�cial geologic map-ping to be performed remotely. Using light wavelength ranges in both the visible and non-visible spectra, these images can be utilized to interpret surface litholo-gies and placer deposits. Using ArcMap 10.6 raster processing tools, this study is using spectral band combinations and ratios from imagery captured by the Operational Land Imager (OLI) onboard the Landsat 8 satellite (an Earth observa-tion collaboration between NASA and USGS) in order to locate surface deposits of iron oxide- and hydroxyl-rich materials. In humid environments lateritic deposits are frequently associated with phosphate minerals such as monazite - one of the most abundant phosphate minerals bonded with rare-earth elements (REE). By identifying areas rich in iron oxide- or hydroxyl-bearing minerals, then comparing these identified areas to other sources of lithologic data - including previously constructed geologic maps and drilling borehole records - this study anticipates aiding in locating areas of high potential for REE-bearing minerals recovery.

BackgroundBackground

Discussion / OutlookDiscussion / Outlook

MethodsMethods

Geologic SettingGeologic Setting

ResultsResults

Landsat 8 Spectral Band WavelengthsLandsat 8 Spectral Band Wavelengths

ReferencesReferences

SummarySummaryQuestion:

Task:

Results:

Discussion:

Is it possible to use satellite remote sensing imagery to delineate heavy metal placer deposits in the humid, heavi-ly-vegitated eastern United States?Use previous geologic mapping in a target area to provide a base for accuracy for light wavelength band false-coloring reimaging method.

Preliminary analysis, before a detailed supervised classi�ca-tion and a detailed �eld lithologic mapping e�ort, appears promising - if potentially limited.

Future detailed analysis, using di�erent points of time from the same location, should provide a depositional rate for current processes which can help form paleo-models.

The methodology presented here involves the use of compound band rations toidentify areas where one or more speci�c spectral absorption features are pres-sent. Phosphate minerals -the REE-bearing monazite, in particular- are heavily ass-ociated with Fe-oxide deposits (Elliott et al., 2018). Fe-oxide placer deposits are identi�ed from reprocessed satellite imagery. Procedural process:

- Download Landsat 8 imagery from USGS-EarthExplorer (path15, row35)- Create band composite (bands 1-7, bands 9-11; band 8 is the panchromatic band)- Ture color: red = band 4, green = band 3, blue = band 2- Make 2-7 �oating points- Create composite images with the following RGB ratios: (B4/B2), (B6/B7), (B6/B5)- Overlay composite image over georecti�ed lithologic map

(see Landsat 8 Spectral Band Wavelengths table)

The Roanoke Rapids 1:100,000 map sheet (Weems and Lewis, 2007) straddlesthe Coastal Plain/Piedmont boundary in northernmost North Carolina (Fig. 1).The USGSrecovered one core and augered 97 research test holes for the area.Within the lithologic descriptions some formations were described as having“dark heavy minerals”. The area of interest for this research is in the southwesterncorner of the Roanoake Rapids 1:100,000 map area (speci�cally the Red Oak andDrake 1:24,000 quadrangles).

Fig. 1. Study location

Spectral Bands

B2 - Blue B3 - GreenB4 - RedB5 - Near Infrared (NIR)B6 - Shortwave Infrared 1B7 - Shortwave Infrared 2B8 - PanchromaticB9 - CirrusB10 - Thermal Infrared 1B11 - Thermal Infrared 2

B1 - Ultra Blue (aerosol)Wavelength (micrometers) Resolution (meters)

0.43 - 0.45

0.53 - 0.590.45 - 0.51

0.64 - 0.670.85 - 0.881.57 - 1.652.11 - 2.290.50 - 0.681.36 - 1.3810.60 - 11.1911.50 - 12.51

303030303030301530100100

Tc - Chowan River Formation (upper Pliocene) Tym? - Moore House Member(?) (middle Pliocene)

The 1:100,000 Roanoke Rapids mapping area, delineated by Weems and Lewis(2007), provides a convenient control base-layer for cursory �rst-order analysisof the image bands combining/ratioing method (Fig. 2).

Planned drilling operations in the study area, with detailed lithologic mapping(Farrell et al., 2012) will provide the detailed �eld analysis to provide a moredetailed quality control estimation for this method in a humid and heavilyvegetated research area.

In Fig. 2, the results of the image band ratioing can be seen. In the image yellow speci�es the hydrothermally-altered areas; black identi�es water, dark greenspeci�es vegetation; and the clays-rich rock is represented by the light green. The blue highlights sands athe the red-pink-magenta areas indicates iron oxidesminerals.

It is clear that there is signi�cant matching overlay of the lithology layer and thepotential iron oxides-rich placer soil underlain, especially at, and near, the outlines.

A more quanti�ed analysis of the results will be provided by a supervised classi�cation procedure from the following work�ow:

(1) Create a subset of bands for the classi�cation;

(2) Create training samples;

(3) Evaluate training samples;

(4) Manage training samples;

(5) Execute interactive supervised classi�cation;

(6) Create signature �le;

(7) Execute a maximum likelihood classi�cation procedure

Fig. 2. Lithology overlaying image band false-coloring in a portion of the two-quadranglestudy area

Traditionally, satellite remote sensing techniques have only had a high degreeof success is arid, bare-earth (sparsely vegetated) target areas. This research hashad promising preliminary results when considering the process as a tool forculling a larger �eld area to more potential sites for surface and near-surfaceheavy mineral rich placer deposition.

Rationing techniques and geologic image interpretation date back to the earlydays of air photo geology and the early Landsat multispectral scanner data sets.Landsat images have been used for many years by the geologic remote sensingcommunity for mapping of lithology and delinetation of lineaments speci�callyto map alteration mineralogy in arid, bare-earth areas. The potential for heavymineral placer delineation, even in heavily vegetated areas, is an underlookedresearch investigation line.

If iron-oxide mineral deposits can be used to locate REE-bearing phosphate minerals (such as monazite), that tend to deposit together, then a depositionmodel for currently forming placers can be built from this technique.

Contact: Jim Chapman, Senior Geologist - Oil and Gas [email protected] / 919-707-9231 / 1612 MSC, Raleigh, NC 27699

generalized Atlantic Seaboard Fall Zone (Watson, 1910)

- Elliott, W. Crawford, E, Gardner, Daniel J., Malla, P., and Riley, E. (2018) A new look at the occurrences of the rare- earth elements in the Georgia kaolins. Clays and Clay Minerals, Vol. 66, 245-260.

- Farrell, Kathleen M., Harris, W. Burleigh, Mallison, David J., Culver, Stephen J., Riggs, Stanley R., Pierson, Jessica, Self-Trail, Jean M., and Lautier, Je� C. (2012) Standardizing Texture and Facies Codes for a Process-Based Classi�cation of clastic Sediment and Rock. Journal of Sedimentary Research, Vol. 82, 364-378.

- Watson, Thomas L. (1910) Granites of the Southeastern Atlantic States, Bulletin 426, USGS.

- Weems, Robert E. and Lewis, William C. (2007) Detailed Sections from Auger Holes in Roanoke Rapids 1:100,000 Map Sheet, North Carolina. USGS, Open File Report 2007-1092.

Suggested citation: Chapman, James S. and Taylor, Kenneth B., 2019, Rare-Earth Elements Minerals Placer Deposition Modeling From Landsat 8 Multispectral Remote Imaging in a Section of North Carolina‘s Northern Coastal Plain: North Carolina Geological Survey, Open-File Report 2019-09. One panel.

James S. Chapman, PG and Kenneth B. Taylor, PhD, PGNorth Carolina Geological Survey

Rare-Earth Elements Minerals Placer Deposition Modeling From Landsat 8 MultispectralRemote Imaging in a Section of North Carolina’s Northern Coastal Plain

NORTH CAROLINA DEPARTMENT OF ENVIRONMENTAL QUALITY MICHAEL S. REGAN, SECRETARY DIVISION OF ENERGY, MINERAL, AND LAND RESOURCES S. DANIEL SMITH, DIRECTOR NC GEOLOGICAL SURVEY KENNETH B. TAYLOR, SECTION CHIEF AND STATE GEOLOGIST

Raleigh GIS Day 2019

Wednesday, 13 November 20199:00 am - 3:00 pm

RALEIGH UNION STATION510 W Martin Street, Raleigh, North Carolina

NORTH CAROLINA GEOLOGICAL SURVEYOPEN-FILE REPORT 2019-09