A robust index to extract paddy fields in cloudy regions from SAR time series-Reference-Cited by-同舟云学术

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A robust index to extract paddy fields in cloudy regions from SAR time series

Published:2023-02 Issue: Volume:285 Page:113374
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Xu Shuai,Zhu Xiaolin,Chen Jin,Zhu Xuelin,Duan Mingjie,Qiu Bingwen,Wan Luoma,Tan Xiaoyue,Xu Yi Nam,Cao Ruyin

Funder

National Natural Science Foundation of China

Hong Kong Polytechnic University

Sichuan Province Department of Science and Technology

University of Electronic Science and Technology of China

Sichuan Province Science and Technology Support Program

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference80 articles.

1. Sentinel SAR-optical fusion for crop type mapping using deep learning and Google earth engine;Adrian;ISPRS J. Photogramm. Remote Sens.,2021

2. Complementarity of two rice mapping approaches: characterizing strata mapped by hypertemporal MODIS and rice paddy identification using multitemporal SAR;Asilo;Remote Sens.,2014

3. Mapping paddy rice using Sentinel-1 SAR time series in Camargue, France;Bazzi;Remote Sens.,2019

4. Global high-resolution mountain green cover index mapping based on landsat images and Google earth engine;Bian;ISPRS J. Photogramm. Remote Sens.,2020

5. Watershed-based segmentation and region merging;Bleau;Comput. Vis. Image Underst.,2000

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