Remote sensing for monitoring abnormal crop growth under sudden floods in arid regions： A case study of the July 2025 flood in the Tumochuan Plain

Forestry and Agriculture | Views:735Downloads:302CSCD:0

Export
Share
Collection
Album

Remote sensing for monitoring abnormal crop growth under sudden floods in arid regions： A case study of the July 2025 flood in the Tumochuan Plain
- role：First author第一作者
- Affiliation：
  School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
  Jiangsu Provincial Key Laboratory for Advanced Remote Sensing and Geographic Information Technology, Nanjing 210023, China
  Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, Nanjing 210023, China
- Email：bingwang@smail.nju.edu.cn
- Introduction：王炳，研究方向为遥感时间序列处理与地学分析。E-mail： bingwang@smail.nju.edu.cn
WANG Bing
* ,
- role：Corresponding author通信作者
- Affiliation：
  School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
  Jiangsu Provincial Key Laboratory for Advanced Remote Sensing and Geographic Information Technology, Nanjing 210023, China
  Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, Nanjing 210023, China
- Email：peijun@nju.edu.cn
- Introduction：杜培军，研究方向为城市遥感与地理空间智能。E-mail： peijun@nju.edu.cn
DU Peijun
* ,
- Affiliation：
  School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
  Jiangsu Provincial Key Laboratory for Advanced Remote Sensing and Geographic Information Technology, Nanjing 210023, China
  Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, Nanjing 210023, China
GUO Shanchuan
*
Vol. 30, Issue 5, Pages: 1341-1356(2026)
DOI：10.11834/jrs.20265461
Accepted：

Scan QR Code

Scan QR Code

Quote
Translate The Full Text
DOI：
DOI：

AI Introduction
Full Text(HTML)
Figs( 15 ) Tabs( 1 )
References
Publication Info
Metrics

Alert me when the article has been cited

Submit

Related Articles

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

Spatial scale expansion method for fractional vegetation cover based on multi-resolution tree fusion

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

Spatiotemporal response of aquatic vegetation in typical lakes of the Taihu Basin to “Purse Seine Demolition of Lakes and Reservoirs” from a remote‑sensing perspective

Multimodal high-resolution remote sensing image registration via modality translation and 3D spatial relationship constraints

Related Author

CHEN Rui 西南交通大学地球科学与工程学院

XIE Jiangliu 西南交通大学地球科学与工程学院

YANG Yajie 西南交通大学地球科学与工程学院

MA Dujuan 西南交通大学地球科学与工程学院

ZHANG Guodong 西南交通大学地球科学与工程学院

WANG Meilian 西南交通大学地球科学与工程学院

YIN Gaofei 西南交通大学地球科学与工程学院

XU Weiye 北京师范大学卫星应用前沿交叉研究院/地表过程与水土风沙灾害风险防控全国重点实验室

Related Institution

Faculty of Geosciences and Engineering, Southwest Jiaotong University

Advanced Interdisciplinary Institute of Satellite Applications/State Key Laboratory of Earth Surface Process and Disaster Risk Reduction, Beijing Normal University

Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment

Key Laboratory of Satellite Remote Sensing,Ministry of Ecology and Environment

State Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences