Mapping cropping intensity in China using time series Landsat and Sentinel-2 images and Google Earth Engine-Reference-Cited by-同舟云学术

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Mapping cropping intensity in China using time series Landsat and Sentinel-2 images and Google Earth Engine

Published:2020-03 Issue: Volume:239 Page:111624
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Liu Luo,Xiao Xiangming,Qin Yuanwei,Wang Jie,Xu Xinliang,Hu Yueming,Qiao Zhi

Funder

National Natural Science Foundation of China

National Institutes of Health

Science and Technology Program of Guangzhou

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference73 articles.

1. Landsat-7 long-term acquisition plan;Arvidson;Photogramm. Eng. Remote Sens.,2006

2. A new method for crop classification combining time series of radar images and crop phenology information;Bargiel;Remote Sens. Environ.,2017

3. A generalized regression-based model for forecasting winter wheat yields in Kansas and Ukraine using MODIS data;Becker-Reshef;Remote Sens. Environ.,2010

4. Agroecosystem sustainability: a system simulation model approach;Belcher;Agric. Syst.,2004

5. Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis;Belgiu;Remote Sens. Environ.,2018

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