2017. Regression model to estimate flood impact on corn yield using MODIS NDVI and USDA cropland data layer. Journal of Integrative Agriculture, 16,Shrestha R, Di L P, Eugene G, Yu E G, Kang L G, Shao Y Z, Bai Y Q. 2017. Regression model to estimate flood impact on corn yield ...
The USDA, NASS Cropland Data Layer (CDL) is a raster, geo-referenced, crop-specific land cover data layer with a ground resolution of 56 meters. The CDL is produced using satellite imagery from the Indian Remote Sensing RESOURCESAT-1 (IRS-P6) Advanced Wide Field Sensor (AWiFS) collected ...
Regression model to estimate flood impact on corn yield using MODIS NDVI and USDA cropland data layer 2017. Regression model to estimate flood impact on corn yield using MODIS NDVI and USDA cropland data layer. Journal of Integrative Agriculture, 16,... JS Ran,L Di,EG Yu,... - 《农业科...
2.2.1. Cropland data layer (CDL) The cropland data layer (CDL) dataset produced by the US Department of Agriculture (USDA) National Agricultural Statistics Service (NASS) provides a detailed land use map of 132 land use types at 30 m spatial resolution (Boryan et al., 2011, USDA, 2018...
United States Department of Agriculture (USDA), Foreign Agricultural Service (FAS), Office of Global Analysis (2001). Oreopoulos, L., Wilson, M. J. & Várnai, T. Implementation on landsat data of a simple cloud-mask algorithm developed for modis land bands. IEEE Geoscience and Remote ...
Land Surface Phenologies and Seasonalities in the US Prairie Pothole Region Coupling AMSR Passive Microwave Data with the USDA Cropland Data Layer. Remote Sens. 2019, 11, 2550. [Google Scholar] [CrossRef] [Green Version] Doherty, K.E.; Howerter, D.W.; Devries, J.H.; Walker, J. ...
The USDA National Agriculture Statistics Service (NASS) Cropland Data Layer (CDL) [20] was used to select training and testing pixels (the sample dataset) for the RFC models—despite known issues with the CDL [21,22]—due to a scarcity of ground observations. To increase the accuracy of ...
Gridded Soil Survey Geographic (gSSURGO) Database for the United States of America and the Territories, Commonwealths, and Island Nations served by the USDA-NRCS Service. https://gdg.sc.egov.usda.gov/. Google Scholar Sun et al., 2020 W. Sun, J.G. Canadell, L. Yu, L. Yu, W. ...
The History of the Cropland Data Layer The CDL was first developed in 1997 as part of the USDA’s efforts to improve the accuracy and reliability ofagriculturalstatistics. The early versions of the CDL were based on the use of satellite imagery and other data sources, including ground surveys...
The Cropland Data Layer (CDL), which was developed by the U.S. Department of Agriculture (USDA), has been widely used in agricultural studies and achieved massive success in recent years. Although the CDL's accuracy assessments report high overall accuracy on various crops classifications, ...