In-season crop-type mapping in Kenya using Sentinel-2 imagery
Author:
Affiliation:
1. George Mazon Universiy,Center for Spatial Information Science and Systems,Fairfax,VA,USA,22030
2. International Food Policy Research Institute,Washington,DC,USA,20005
3. USDA ARS, Hydrology and Remote Sensing Laboratory,Beitrville,MD,USA,20705
Funder
Nature
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10660664/10660668/10660971.pdf?arnumber=10660971
Reference18 articles.
1. Monitoring US agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program
2. CropScape: A Web service based application for exploring and disseminating US conterminous geospatial cropland data products for decision support
3. Operational Agricultural Flood Monitoring with Sentinel-1 Synthetic Aperture Radar
4. Early Season Winter Wheat Identification Using Sentinel -1 Synthetic Aperture Radar (Sar) and Optical Data
5. Prediction of Crop Planting Map Using One-dimensional Convolutional Neural Network and Decision Tree AlgorithmIEEE Conference Publication IEEE Xplore;Li
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