Mapping the Complex Crop Rotation Systems in Southern China Considering Cropping Intensity, Crop Diversity, and Their Seasonal Dynamics-Reference-Cited by-同舟云学术

Mapping the Complex Crop Rotation Systems in Southern China Considering Cropping Intensity, Crop Diversity, and Their Seasonal Dynamics

Published:2022 Issue: Volume:15 Page:9584-9598
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Liu Yuan¹^ORCID,Yu Qiangyi¹^ORCID,Zhou Qingbo²,Wang Cong¹,Bellingrath-Kimura Sonoko Dorothea³,Wu Wenbin¹

Affiliation:

1. Key Laboratory of Agricultural Remote Sensing (AGRIRS), Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China

2. Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing, China

3. Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany

Funder

National Natural Science Foundation of China

Public-interest Scientific Institution Basal Research Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9656571/09935061.pdf?arnumber=9935061

Reference65 articles.

1. Evolution of regional to global paddy rice mapping methods: A review

2. A robust method for reconstructing global MODIS EVI time series on the Google Earth Engine

3. GLC_FCS30: global land-cover product with fine classification system at 30 m using time-series Landsat imagery

4. Mapping sugarcane plantation dynamics in Guangxi, China, by time series Sentinel-1, Sentinel-2 and Landsat images

5. Smallholder maize area and yield mapping at national scales with Google Earth Engine

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Sectoral carbon emission prediction and spatial modeling framework: A local climate zone-based case study of the Guangdong-Hong Kong-Macao Greater Bay Area;Sustainable Cities and Society;2024-11

2. Integrating multi-year crop inventories as a proxy for soil management within a digital soil mapping framework for predicting nitrogen indices;Geoderma;2024-08

3. Multi-annual crop maps reveal cropping patterns in the Vojvodina region (Serbia);2024 12th International Conference on Agro-Geoinformatics (Agro-Geoinformatics);2024-07-15

4. Unveiling Methods to Stimulate Plant Resistance against Pathogens;Frontiers in Bioscience-Landmark;2024-05-14

5. Assessing uncertainties and discrepancies in agricultural greenhouse gas emissions estimation in China: A comprehensive review;Environmental Impact Assessment Review;2024-05