Forest classification using synthetic GF-1/WFV time series and phenological parameters-Reference-Cited by-同舟云学术

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Forest classification using synthetic GF-1/WFV time series and phenological parameters

Published:2021-10-05 Issue:04 Volume:15 Page:
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:
Short-container-title:J. Appl. Rem. Sens.

Author:

Xu Lei¹,Wu Zhaocong¹,Zhang Zhi²,Wang Xu³

Affiliation:

1. Wuhan University, School of Remote Sensing and Information Engineering, Wuhan

2. China University of Geosciences, Institute of Geophysics and Geomatics, Wuhan

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

Funder

National Natural Science Foundation of China

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Cited by 3 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. Preliminary Results in Innovative Solutions for Soil Carbon Estimation: Integrating Remote Sensing, Machine Learning, and Proximal Sensing Spectroscopy;Remote Sensing;2023-11-30

2. A Comparison of Random Forest Algorithm-Based Forest Extraction with GF-1 WFV, Landsat 8 and Sentinel-2 Images;Remote Sensing;2022-10-22

3. Extraction of Water Body Information from Remote Sensing Imagery While Considering Greenness and Wetness Based on Tasseled Cap Transformation;Remote Sensing;2022-06-23

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