Aprocess-cognizant vegetation drought model for indentifing seasonal drought in subtropical region and its application in the Hunan-Jiangxi region

Subtropical Remote Sensing | Views:376Downloads:388CSCD:0

Export
Share
Collection
Album

Aprocess-cognizant vegetation drought model for indentifing seasonal drought in subtropical region and its application in the Hunan-Jiangxi region
- role：First author第一作者
- Affiliation：
  School of Geosciences and Info-physics, Central South University, Changsha 410012, China
  Center of Subtropics Remote Sensing, Central South University, Changsha 410083, China
  Lab of Geohazards Perception, Cognition and Prediction, Central South University, Changsha 410083, China
- Email：zmzhang98@163.com
- Introduction：张治梅，研究方向为亚热带遥感、灾害监测。E-mail：zmzhang98@163.com
ZHANG Zhimei
* ,
- Affiliation：
  School of Geosciences and Info-physics, Central South University, Changsha 410012, China
  Center of Subtropics Remote Sensing, Central South University, Changsha 410083, China
  Lab of Geohazards Perception, Cognition and Prediction, Central South University, Changsha 410083, China
JIAO Zhijun
* ,
- role：Corresponding author通信作者
- Affiliation：
  School of Geosciences and Info-physics, Central South University, Changsha 410012, China
  Center of Subtropics Remote Sensing, Central South University, Changsha 410083, China
  Lab of Geohazards Perception, Cognition and Prediction, Central South University, Changsha 410083, China
- Email：wulx66@csu.edu.cn
- Introduction：吴立新，研究方向为地学三维建模、遥感岩石力学、数字矿山、地灾感知认知、亚热带遥感。E-mail：wulx66@csu.edu.cn
WU Lixin
*
Vol. 30, Issue 5, Pages: 1273-1288(2026)
DOI：10.11834/jrs.20264144
Accepted：

Scan QR Code

Scan QR Code

Quote
Translate The Full Text
DOI：
DOI：

AI Introduction
Full Text(HTML)
Figs( 12 ) Tabs( 0 )
References
Publication Info
Metrics

Alert me when the article has been cited

Submit

Related Articles

Remote sensing extraction and change analysis of surface water body over the Middle and Lower Reaches of the Yangtze River based on a multi-element coupling framework

On subtropical remote sensing in China： Research status， key tasks and innovative development approaches

Top ten frontier scientific issues in the field of remote sensing science and technology

Delineating riparian zones and analyzing ecological patterns via inundation frequency： A case study of the middle-lower reaches of Yangtze River

LAFI-diffusion： Construction and generation method of satellite remote sensing ship target detection dataset based on controllable diffusion model

Related Author

JIAO Zhijun 中南大学地球科学与信息物理学院;中南大学亚热带遥感中心;中南大学地灾感知认知预知研究室

TANG Pengfei 南京大学地理与海洋科学学院;江苏省地理信息技术重点实验室;自然资源部国土卫星遥感应用重点实验室

FANG Hong 南京大学地理与海洋科学学院;江苏省地理信息技术重点实验室;自然资源部国土卫星遥感应用重点实验室

XIA Zilong 南京大学地理与海洋科学学院;江苏省地理信息技术重点实验室;自然资源部国土卫星遥感应用重点实验室

DU Peijun 南京大学地理与海洋科学学院;江苏省地理信息技术重点实验室;自然资源部国土卫星遥感应用重点实验室

GUO Shanchuan 南京大学地理与海洋科学学院;江苏省地理信息技术重点实验室;自然资源部国土卫星遥感应用重点实验室

Genyun SUN 中国石油大学（华东）海洋与空间信息学院

Yuqi TANG 中南大学地球科学与信息物理学院

Related Institution

School of Geography and Ocean Science, Nanjing University

Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University

Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources

School of Geoscience and Info-Physics, Central South University

College of Oceanography and Space Informatics, China University of Petroleum (East China)