Phenology-based decision tree classification of rice-crayfish fields from Sentinel-2 imagery in Qianjiang, China-Reference-Cited by-同舟云学术

Phenology-based decision tree classification of rice-crayfish fields from Sentinel-2 imagery in Qianjiang, China

Published:2021-10-02 Issue:21 Volume:42 Page:8124-8144
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Xia Tian¹²³,Ji Wenwen¹,Li Weidong²^ORCID,Zhang Chuanrong²^ORCID,Wu Wenbin³

Affiliation:

1. Key Laboratory for Geographical Process Analysis & Simulation, Hubei Province/College of Urban & Environmental Sci. Central China Normal University, Wuhan, Hubei, China

2. Department of Geography, University of Connecticut, Storrs, CT, USA

3. Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China

Funder

National Key Research and Development Program

Fundamental Research Funds for the Central Universities

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2021.1973687

Reference43 articles.

1. Crop Mapping Using Random Forest and Particle Swarm Optimization based on Multi-Temporal Sentinel-2

2. Towards fine resolution global maps of crop yields: Testing multiple methods and satellites in three countries