Cloud-Powered Agricultural Mapping: A Revolution Toward 10m Resolution Cropland Data Layers
Author:
Affiliation:
1. National Agricultural Statistics Service,United States Department of Agriculture,Washington DC,USA,20250
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10641079.pdf?arnumber=10641079
Reference7 articles.
1. Monitoring US agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program
2. Global 10 m Land Use Land Cover Datasets: A Comparison of Dynamic World, World Cover and Esri Land Cover
3. Google Earth Engine: Planetary-scale geospatial analysis for everyone
4. National-Scale Cropland Mapping Based on Phenological Metrics, Environmental Covariates, and Machine Learning on Google Earth Engine
5. Mapping crop type in Northeast China during 2013–2021 using automatic sampling and tile-based image classification
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