Understanding the Temporal Dynamics of Coherence and Backscattering Using Sentinel-1 Imagery for Crop-Type Mapping-Reference-Cited by-同舟云学术

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Understanding the Temporal Dynamics of Coherence and Backscattering Using Sentinel-1 Imagery for Crop-Type Mapping

Published:2024 Issue: Volume:17 Page:6875-6893
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:

Zhao Qinxin¹^ORCID,Xie Qinghua¹^ORCID,Peng Xing¹^ORCID,Lai Kunyu¹^ORCID,Wang Jinfei²^ORCID,Fu Haiqiang³^ORCID,Zhu Jianjun³^ORCID,Song Yang⁴^ORCID

Affiliation:

1. School of Geography and Information Engineering, China University of Geosciences, Wuhan, China

2. Department of Geography and Environment, the University of Western Ontario, London, ON, Canada

3. School of Geosciences and Info-Physics, Central South University, Changsha, China

4. Zoomlion Smart Agriculture, Company Ltd., Changsha, China

Funder

National Natural Science Foundation of China

Canadian Space Agency SOAR-E Program

Natural Science and Engineering Research Council of Canada Discovery

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4609443/10330207/10460089.pdf?arnumber=10460089

Reference62 articles.

1. In-season crop type identification using optimal feature knowledge graph

2. Pre- and within-season crop type classification trained with archival land cover information

3. Crop type classification using a combination of optical and radar remote sensing data: a review

4. Strengthening agricultural decisions in countries at risk of food insecurity: The GEOGLAM Crop Monitor for Early Warning

5. Remote sensing based yield monitoring: Application to winter wheat in United States and Ukraine

Cited by 2 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. Multitemporal sentinel-1 SAR data sensitivity analysis at phenological growth stages of green gram;International Journal of Remote Sensing;2024-08-26

2. Large-Scale Crop Mapping Based on Multisource Remote Sensing Intelligent Interpretation: A Spatiotemporal Data Cubes Approach;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

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