Time-series classification of Sentinel-1 agricultural data over North Dakota
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, University of Massachusetts Amherst, Amherst, MA, USA
Funder
National Aeronautics and Space Administration
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)
Link
https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2018.1430393
Reference23 articles.
1. Monitoring Global Croplands with Coarse Resolution Earth Observations: The Global Agriculture Monitoring (GLAM) Project
2. Efficiency of crop identification based on optical and SAR image time series
3. Monitoring US agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program
4. Towards operational radar-only crop type classification: comparison of a traditional decision tree with a random forest classifier
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