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Person

Prasad S Thenkabail

Supervisory Research Geographer

Western Geographic Science Center

Email: pthenkabail@usgs.gov
Office Phone: 928-556-7221
ORCID: 0000-0002-2182-8822

Location
Building 6
2255 North Gemini Drive
Flagstaff , AZ 86001
US

Supervisor: Susan P Benjamin
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Here we provide information for the DESIS and PRISMA Derived Spectral Library of Agricultural Crops in California which was developed using DESIS and PRISMA hyperspectral data acquired for 2020. The DESIS images used for this dataset are available through the German Aerospace Center and Teledyne Brown (2022). PRISMA images are available through the Italian Space Agency (ASI) (2022). The crop type data and confidence layer for the year 2020 can be accessed through the USDA National Agricultural Statistics Service (2022). The DESIS and PRISMA Derived Spectral Library of Agricultural Crops dataset characteristics are described below, with DESIS and PRISMA data provided in two separate CSV files. Related Primary Publication:...
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Special Issue Forward in Programmetric Engineering and Remote Sensing journal
Categories: Data, Publication; Types: Citation
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Here we provide information for the PlanetScope and d Deutsches Zentrum fur Luft- und Raumfahrt (DLR) Earth Sensing Imaging Spectrometer (DESIS) Derived Spectral Library of Agricultural Crops in California which was developed using PlanetScope Dove-R high spatial resolution data and DESIS hyperspectral data acquired for 2020. PlanetScope images are available through Planet Labs (2022). The DESIS images used for this dataset are available through the German Aerospace Center and Teledyne Brown (2022). The crop type data and confidence layer for 2020 can be accessed through the United States Department of Agriculture National Agricultural Statistics Service (2022). The PlanetScope and DESIS Derived Spectral Library...
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This data release documents the steps performed to create classified cropland fallow maps for the Northern Great Plains region of the United States from the years 2010 to 2019. The data release consists of the following: (i) an XML metadata file, (ii) a table of reference data (iii) two decision tree models, and (iv) 10 single band GeoTIFFs. The XML file named ‘Metadata.xml’ describes steps that were used to create this dataset. The table of reference data named ‘RefrenceSamples.csv’ list the training and validation point values used to train the decision tree classifiers and preform accuracy assessments. The two decision trees named ‘decisionTree_0.005.txt’ and ‘decisionTree_0.007.txt’ were used to classify remote...
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