Forest above-ground biomass inversion using full-polarimetric SAR data with integrated effective degree of polarization

HUANG Zijia; LONG Jiangping; ZHAO Deliang; LIN Hui; SUN Hua; ZHANG Tingchen

doi:10.11834/jrs.20265452

Forestry and Agriculture | Views:783Downloads:281CSCD:0

Export
Share
Collection
Album

Forest above-ground biomass inversion using full-polarimetric SAR data with integrated effective degree of polarization
“The fully polarized synthetic aperture radar (SAR) data can effectively characterize the vertical structural characteristics of forest canopy and has important application value in aboveground biomass (AGB) inversion of forests. A reasonable polarization decomposition method is an important support for extracting key polarization features and constructing high-precision quantitative inversion models. The research progress in forest biomass monitoring is introduced. The research team has established an improved model free polarization decomposition system that integrates effective polarization degrees, providing a solution to alleviate the saturation effect of forest AGB remote sensing inversion and improve the accuracy of complex forest area inversion.”
- role：First author第一作者
- Affiliation：
  Hunan Provincial Key Laboratory of Forestry Remote Sensing Based Big Data & Ecological Security, Central South University of Forestry and Technology, Changsha 410004, China
  Hunan Engineering Research Center for Monitoring of Natural Ecosystem Carbon Sinks, Changsha 410004, China
- Email：zijiahuang310@gmail.com
- Introduction：黄子加，研究方向为植被定量遥感。E-mail： zijiahuang310@gmail.com
HUANG Zijia
12 * ,
- role：Corresponding author通信作者
- Affiliation：
  Hunan Provincial Key Laboratory of Forestry Remote Sensing Based Big Data & Ecological Security, Central South University of Forestry and Technology, Changsha 410004, China
  Hunan Engineering Research Center for Monitoring of Natural Ecosystem Carbon Sinks, Changsha 410004, China
- Email：longjiangping@csuft.edu.cn
- Introduction：龙江平，研究方向为林业遥感、智慧林业和微波遥感。E-mail： longjiangping@csuft.edu.cn
LONG Jiangping
12 * ,
- Affiliation：
  Shandong GEO-Surveying & Mapping Institute, Ji'nan 250003, China
ZHAO Deliang
3 * ,
- Affiliation：
  Hunan Provincial Key Laboratory of Forestry Remote Sensing Based Big Data & Ecological Security, Central South University of Forestry and Technology, Changsha 410004, China
  Hunan Engineering Research Center for Monitoring of Natural Ecosystem Carbon Sinks, Changsha 410004, China
LIN Hui
12 * ,
- Affiliation：
  Hunan Provincial Key Laboratory of Forestry Remote Sensing Based Big Data & Ecological Security, Central South University of Forestry and Technology, Changsha 410004, China
  Hunan Engineering Research Center for Monitoring of Natural Ecosystem Carbon Sinks, Changsha 410004, China
SUN Hua
12 * ,
- Affiliation：
  Hunan Provincial Key Laboratory of Forestry Remote Sensing Based Big Data & Ecological Security, Central South University of Forestry and Technology, Changsha 410004, China
  Hunan Engineering Research Center for Monitoring of Natural Ecosystem Carbon Sinks, Changsha 410004, China
ZHANG Tingchen
12 *
Vol. 30, Issue 7, Pages: 2104-2120(2026)
DOI：10.11834/jrs.20265452
Accepted：

Scan QR Code

Quote
Translate The Full Text
DOI：
DOI：

Forest above-ground biomass inversion using full-polarimetric SAR data with integrated effective degree of polarization

AI Introduction
Full Text(HTML)
Figs( 40 ) Tabs( 4 )
References
Publication Info
Metrics

Alert me when the article has been cited

Submit

Forest above-ground biomass inversion using full-polarimetric SAR data with integrated effective degree of polarization

HUANG Zijia

LONG Jiangping

ZHAO Deliang

LIN Hui

SUN Hua

ZHANG Tingchen

DOI：10.11834/jrs.20265452

AI Introduction

Full Text(HTML)

Figs( 40 ) Tabs( 4 )

References

Publication Info

Metrics

摘要

Abstract

关键词

Keywords

references