evaluation of high resolution data for lcluc science...3.green 4.yellow 5.red 6.red-edge 7.nir1 %...

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Evaluation of High Resolution Data for LCLUC Science PI Name: S. Skakun Project Title: Combined use of VHR WorldView-2/3 and Planet datasets for MuSLI agricultural monitoring Affiliation: University of Maryland, College Park Co-I Name: J.-C. Roger Affiliation: University of Maryland, College Park Co-I Name: E. Vermote Affiliation: NASA GSFC 1

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Page 1: Evaluation of High Resolution Data for LCLUC Science...3.green 4.yellow 5.red 6.red-edge 7.nir1 % Sprectral bands Relative importance (corn, WV-3 2018-202, 5 bands R2=0.477) 0 5 45

Evaluation of High Resolution Data for LCLUC Science

PI Name: S. Skakun

Project Title: Combined use of VHR WorldView-2/3 and Planet datasets forMuSLI agricultural monitoring

Affiliation: University of Maryland, College Park

Co-I Name: J.-C. Roger

Affiliation: University of Maryland, College Park

Co-I Name: E. Vermote

Affiliation: NASA GSFC

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Objectives

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• To evaluate VHR data (1-3 m) on capturing a field level yield variability

• To explore the benefits of VHR data (1-3m) on crop mapping:• small fields with large diversity of summer crops in Ukraine, and

• mixed and small fields in Africa

• Expected data usefulness and benefits

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Data Requested and Status

• Study Region:• US (Iowa), Ukraine (Western Part)

and Tanzania

• Data download status and plans:• US, Iowa

• WorldView-3 (WV-3) – 2 images

• Planet – 270 unique scenes, ~84,000 km2

• Plans:• Getting data for Ukraine and Tanzania

• No issues or challenges in downloading the data

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WV-3, 21 July 2018,1.2 m, Red-Green-Blue

© 2018, DigitalGlobe; NextView License

Planet, 30 August 2018, 3 m, Red-Green-Blue

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Preliminary results• Calibration

• Issues with Planet

• Geo-referencing

• Planet: Good (visually) co-registration

• WV-3: Delivered as Level-1B –

without ortho-rectification

• Ortho-rectification with 30 m SRTM DEM (using

GDAL routines): Still ~10 px registration error

• Manual GCPs selection to enable subpixel

accuracy (RMSE<1px)

• Atmospheric correction

• LaSRC – adaptation from Landsat 8 and

Sentinel-2 (Vermote et al. 2016)

20180515_163100_101c_3B_AnalyticMS_TOA20180515_163059_101c_3B_AnalyticMS_TOA

20180515_163111_100e_3B_AnalyticMS_TOA

Planet, True color TOAR: 0.09-0.14G: 0.1-0.15B: 0.12-0.16 4

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Preliminary results

Yield, bu/ac

20 8050

SoybeanYield, bu/ac

90 270180

Corn Field scale yield:

186 ± 24 bu/ac (13%)

(11.7 t/ha)

Field scale yield:

52 ± 9 bu/ac (16%)

(3.5 t/ha)

5720 m 720 m

Field scale yields for

corn and soybean

(Hamilton County, IA,

USA). Provided by Iowa

State University

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Preliminary results: WV-3NDVI, R2=0.119

CIgreen = NIR/Green-1,R2=0.371DVI = NIR-Red, R2=0.147

WV-3Corn

21 July 2018, DOY=202

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Preliminary results: Planet Planet, soybean, R2 over time

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2018160 2018180 2018200 2018220 2018240 2018260 2018280 2018300 2018320

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Planet, soybean

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blue green red NIR

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PlanetLab spectral bands

Relative importance

Yield (from machinery)

Yield (from satellite, 3m)

Yield, bu/ac

20 8050

Maximum R2=0.59

for DOY=242 (30 August)

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Conclusions & Next Steps

• Calibration issues on Planet

• Green/Yellow, Red Edge and NIR: most important explaining

corn/soybean yield variability

• High temporal frequency of Planet allows identification of best suitable

date for yield assessment

• Next steps• Planet co-registration analysis (Skakun et al. 2017 IJDE)

• Expanding crop yield mapping for multiple fields

• Crop type mapping with Planet (small fields in Ukraine and Tanzania)8

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Acknowledgments

• NASA• “Crop Yield Assessment and Mapping by a Combined Use of Landsat-8,

Sentinel-2 and Sentinel-1 Images” (#80NSSC18K0336)

• Digital Globe• "DigitalGlobe data were provided by NASA's Commercial Archive Data for

NASA investigators (cad4nasa.gsfc.nasa.gov) under the National Geospatial-Intelligence Agency's NextView license agreement."

• Planet• Planet Team (2017). Planet Application Program Interface: In Space for Life

on Earth. San Francisco, CA. https://api.planet.com

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