Views:372Downloads:118CSCD:0
Export
Collection
Album
Remote sensing identification of idling risk for rural residential land by integrating synergistic features of night-time light attenuation and vegetation enhancement
- “The research team from Zhangjiakou City, Hebei Province, integrated terrain constraints and multi-source temporal vitality characteristics to establish a collaborative recognition system of deep learning and machine learning. They explored the risk identification of idle rural residential land under complex terrain and provided a solution to the problem of monitoring inefficient construction land in large-scale rural areas.”
- Pages: 1-17(2026)
DOI:10.11834/jrs.20266106
Quote
Translate The Full Text
Scan QR Code
Full Text(HTML)
Figs( 21 ) Tabs( 7 )
References
Publication Info
Metrics
Alert me when the article has been cited
Submit
Related Articles
Related Author
ZHAO Honghong 宁夏大学 地理科学与规划学院
YAN Chen 宁夏大学 地理科学与规划学院
YANG Junming 宁夏大学 地理科学与规划学院
SHE Lu 宁夏大学 地理科学与规划学院
FENG Zixian 宁夏大学 地理科学与规划学院;宁夏驭星属陈航天科技有限公司
SONG Chunqiao 中国科学院南京地理与湖泊研究所 湖泊与流域水安全全国重点实验室;中国科学院南京地理与湖泊研究所 湖泊与环境国家重点实验室
ZENG Fanxuan 中国科学院南京地理与湖泊研究所 湖泊与流域水安全全国重点实验室;中国科学院南京地理与湖泊研究所 湖泊与环境国家重点实验室
LIU Changhua 河南理工大学 测绘与国土信息工程学院
Related Institution
Ningxia Yuxing Shuchen Aerospace Technology Co., Ltd.
School of Geography and Planning, Ningxia University
State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences
Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences
College of Surveying and Geotechnical Engineering, Henan Polytechnic University


