High-resolution remote sensing estimation of gross primary productivity for China’s mountain forests based on topographically corrected near-infrared reflectance of vegetation

CHEN Rui; XIE Jiangliu; YANG Yajie; MA Dujuan; ZHANG Guodong; WANG Meilian; YIN Gaofei

doi:10.11834/jrs.20265359

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High-resolution remote sensing estimation of gross primary productivity for China’s mountain forests based on topographically corrected near-infrared reflectance of vegetation
“The research progress in the field of carbon cycling in mountain forests was introduced. The research team, in conjunction with the terrain adjusted vegetation index TCNIRv, constructed a GPP remote sensing fine estimation model and developed high-resolution GPP products for Chinese mountain forests from 2000 to 2024, providing scientific basis for fine management of mountain ecosystems.”
- role：First author第一作者
- Affiliation：
  Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 611756, China
- Email：chenrui960301@my.swjtu.edu.cn
- Introduction：陈瑞，研究方向为山地植被遥感。E-mail：chenrui960301@my.swjtu.edu.cn
CHEN Rui
* ,
- Affiliation：
  Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 611756, China
XIE Jiangliu
* ,
- Affiliation：
  Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 611756, China
YANG Yajie
* ,
- Affiliation：
  Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 611756, China
MA Dujuan
* ,
- Affiliation：
  Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 611756, China
ZHANG Guodong
* ,
- Affiliation：
  Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 611756, China
WANG Meilian
* ,
- role：Corresponding author通信作者
- Affiliation：
  Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 611756, China
- Email：yingf@swjtu.edu.cn
- Introduction：尹高飞，研究方向为山地生态遥感、交通遥感。E-mail：yingf@swjtu.edu.cn
YIN Gaofei
*
Vol. 30, Issue 8, Pages: 2451-2462(2026)
DOI：10.11834/jrs.20265359
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High-resolution remote sensing estimation of gross primary productivity for China’s mountain forests based on topographically corrected near-infrared reflectance of vegetation

CHEN Rui

XIE Jiangliu

YANG Yajie

MA Dujuan

ZHANG Guodong

WANG Meilian

YIN Gaofei

DOI：10.11834/jrs.20265359

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