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The Use of Landsat 8 and Sentinel-2 Data and Meterological Observations for Winter Wheat Yield AssessmentThis study focuses on winter wheat yield assessment from NASA's Harmonized Landsat Sentinel-2 (HLS) product and meteorological observations through phenological fitting. Vegetation indices (VIs), namely difference vegetation index (DVI), normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI2), extracted from satellite optical data, are fitted per pixel against accumulated growing degree days (AGDD) using a quadratic function. Accumulated VIs are correlated against winter wheat yields. Results show a better performance from DVI compared to NDVI and EVI2.
Document ID
20200000888
Acquisition Source
Goddard Space Flight Center
Document Type
Conference Paper
Authors
Skakun, S.
(Maryland Univ. College Park, MD, United States)
Franch, B.
(Maryland Univ. College Park, MD, United States)
Vermote, Eric
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Roger, J.-C.
(Maryland Univ. College Park, MD, United States)
Kussul, N.
(Institute of Space Research Lviv, Ukraine)
Masek, J.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
February 14, 2020
Publication Date
July 25, 2019
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
GSFC-E-DAA-TN77261
Report Number: GSFC-E-DAA-TN77261
Meeting Information
Meeting: IGARSS 2019 International Geoscience and Remote Sensing Symposium
Location: Yokohama
Country: United States
Start Date: July 28, 2019
End Date: August 2, 2019
Sponsors: Institute of Electrical and Electronics Engineers (IEEE)
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
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