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.”
      • role:First author第一作者
      • Affiliation:

        College of Mining Engineering, North China University of Science and Technology, Tangshan 063210, China

      • Email:1372713764@qq.com
      • Introduction:刁媛媛,研究方向为多源数据融合、遥感数据分析与农村土地资源监测。E-mail: 1372713764@qq.com

      DIAO Yuanyuan

      1,
      • role:Corresponding author通信作者
      • Affiliation:

        College of Mining Engineering, North China University of Science and Technology, Tangshan 063210, China

        Hebei Key Laboratory of Mining Development and Security Technology, Tangshan 063210, China

      • Email:guolina1101@163.com
      • Introduction:郭力娜,研究方向为土地评价与可持续利用、土地利用信息技术。E-mail:guolina1101@163.com

      GUO Lina

      12 * ,
      • Affiliation:

        School of Remote Sensing Science and Technology, Aerospace Information University (under preparation), Jinan 250200, China

      NIU Zhenguo

      3,
      • Affiliation:

        College of Mining Engineering, North China University of Science and Technology, Tangshan 063210, China

      JIA Yuna

      1,
      • Affiliation:

        Faculty of Geographical Science, Beijing Normal University, Beijing 102206, China

      JIANG Guanghui

      4
    • Pages: 1-17(2026)  
    • DOI:10.11834/jrs.20266106    

    Scan QR Code

    Scan QR Code

  • Quote

    Translate The Full Text

  •  
  •  
  • Full Text(HTML)

  • Figs( 21 ) Tabs( 7 )

  • References

  • Publication Info

  • Metrics

Alert me when the article has been cited
Submit

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