Mapping fallow fields using Sentinel-1 and Sentinel-2 archives over farming-pastoral ecotone of Northern China with Google Earth Engine-Reference-Cited by-同舟云学术

Mapping fallow fields using Sentinel-1 and Sentinel-2 archives over farming-pastoral ecotone of Northern China with Google Earth Engine

Published:2022-01-30 Issue:1 Volume:59 Page:333-353
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Wuyun Deji¹²^ORCID,Sun Liang¹^ORCID,Sun Zheng¹,Chen Zhongxin³,Hou Anhong²,Teixeira Crusiol Luís Guilherme¹⁴^ORCID,Reymondin Louis⁵,Chen Ruiqing¹,Zhao Hongwei¹

Affiliation:

1. Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs of the People’s Republic of China /Caas-ciat Joint Laboratory in Advanced Technologies for Sustainable Agriculture-Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing China

2. Inner Mongolia Academy of Agricultural & Animal Husbandry Science, Institute of Rural Economic and Information, Hohhot China

3. Digitalization and Informatics Division, Food and Agricultural Organization of the United Nations, Rome, Italy

4. Department of Agronomy, State University of Maringá, Maringá Brazil

5. Alliance of Biodiversity International and Ciat Asia — Hanoi Hub Hosted at Agricultural Genetics Institute, Hanoi Vietnam

Funder

Inner Mongolia Autonomous Region Science and Technology Plan Project

Central Public-Interest Scientific Institution Basal Research Fund

the Science and Technology Innovation Project of the Chinese Academy of Agricultural Sciences

the University College London Research Fund: AMAZING- Advancing Maize Information for Ghana

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2022.2026638

Reference70 articles.

1. Mapping abandoned agriculture with multi-temporal MODIS satellite data

2. Mapping the extent of abandoned farmland in Central and Eastern Europe using MODIS time series satellite data

3. Retrieving surface soil moisture at high spatio-temporal resolution from a synergy between Sentinel-1 radar and Landsat thermal data: A study case over bare soil

4. Remote Sensing and Cropping Practices: A Review

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