Recognition of multi-season rice in a complex tropical agronomy zone using time-series SAR data: a case study of Hainan, China-Reference-Cited by-同舟云学术

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Recognition of multi-season rice in a complex tropical agronomy zone using time-series SAR data: a case study of Hainan, China

Published:2024-02-20 Issue:3 Volume:15 Page:270-279
ISSN:2150-704X
Container-title:Remote Sensing Letters
language:en
Short-container-title:Remote Sensing Letters

Author:

Xu Lu¹²,Zhang Hong¹²³,Wang Chao¹²³,Sun Chunling¹²³,Wu Fan¹²,Zhang Bo¹²

Affiliation:

1. Aerospace Information Research Institute, Chinese Academy of Sciences, Key Laboratory of Digital Earth Science, Beijing, China

2. Microwave Remote Sensing Research Laboratory of CBAS, International Research Center of Big Data for Sustainable Development Goals, Beijing, China

3. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2024.2313610

Reference22 articles.

1. A new method for crop classification combining time series of radar images and crop phenology information

2. Rice-Field Mapping with Sentinel-1A SAR Time-Series Data

3. FAOSTAT Data. 2021. http://www.fao.org/faostat.

4. Discriminating transplanted and direct seeded rice using Sentinel-1 intensity data

5. Early-Season Crop Mapping on an Agricultural Area in Italy Using X-Band Dual-Polarization SAR Satellite Data and Convolutional Neural Networks

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