Evaluating Phase Histograms for Remote Sensing of Forested Areas Using L-Band SAR: Theoretical Modeling and Experimental Results-Reference-Cited by-同舟云学术

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Evaluating Phase Histograms for Remote Sensing of Forested Areas Using L-Band SAR: Theoretical Modeling and Experimental Results

Published:2024 Issue: Volume:62 Page:1-17
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Wu Chuanjun¹^ORCID,Tebaldini Stefano²^ORCID,Manzoni Marco²^ORCID,Brede Benjamin³^ORCID,Yu Yanghai⁴^ORCID,Liao Mingsheng¹^ORCID

Affiliation:

1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

2. Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy

3. Laboratory of Geo-Information Science and Remote Sensing, Wageningen University & Research, Wageningen, PB, The Netherlands

4. National Space Science Center, Chinese Academy of Sciences, Beijing, China

Funder

ESA’s Dragon 5 Program through “Geophysical and Atmospheric Retrieval From SAR Data Stacks Over Natural Scenarios” Project

ESA Project IDEAS-QA4EO

ASI’s Study “SAR-L: consolidamento della scienza”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10589715.pdf?arnumber=10589715

Reference53 articles.

1. Challenges to aboveground biomass prediction from waveform lidar

2. Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps

3. The European Space Agency BIOMASS mission: Measuring forest above-ground biomass from space

4. Vertical structure of vegetated land surfaces from interferometric and polarimetric radar

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