Monthly composites from Sentinel-1 and Sentinel-2 images for regional major crop mapping with Google Earth Engine

Author:

LUO Chong,LIU Huan-jun,LU Lü-ping,LIU Zheng-rong,KONG Fan-chang,ZHANG Xin-le

Publisher

Elsevier BV

Subject

Plant Science,Agronomy and Crop Science,Animal Science and Zoology,Food Animals,Ecology,Biochemistry,Food Science

Reference48 articles.

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2. An accurate assessment tool based on intelligent technique for suitability of soybean cropland: case study in Kebumen Regency, Indonesia;Arief;Heliyon,2018

3. Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis;Belgiu;Remote Sensing of Environment,2018

4. Monitoring US agriculture: the US department of agriculture, national agricultural statistics service, cropland data layer program;Boryan;Geocarto International,2011

5. A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach;Cai;Remote Sensing of Environment,2018

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