干旱区科学2025，Vol.17Issue(3)：285-303,19.DOI:10.1007/s40333-025-0009-7
Impact of urban sprawl on land surface temperature in the Mashhad City,Iran:A deep learning and cloud-based remote sensing analysis
Impact of urban sprawl on land surface temperature in the Mashhad City,Iran:A deep learning and cloud-based remote sensing analysis
Komeh ZINAT 1Hamzeh SAEID 1Memarian HADI 2Attarchi SARA 1LU Linlin 3Naboureh AMIN 4Alavipanah KAZEM SEYED1
作者信息
- 1. Department of Remote Sensing and GIS(Geographic Information System),University of Tehran,Tehran 14178-53933,Iran
- 2. Department of Watershed Management,University of Birjand,Birjand 97174-34765,Iran
- 3. Key Laboratory of Digital Earth Science,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China||International Research Center of Big Data for Sustainable Development Goals,Beijing 100094,China
- 4. Research Center for Digital Mountain and Remote Sensing Application,Institute of Mountain Hazards and Environment,Chinese Academy of Sciences,Chengdu 610041,China||University of Chinese Academy of Sciences,Beijing 100049,China
- 折叠
摘要
关键词
convolutional neural network/machine learning/Google Earth Engine/land use change/random forestKey words
convolutional neural network/machine learning/Google Earth Engine/land use change/random forest引用本文复制引用
Komeh ZINAT,Hamzeh SAEID,Memarian HADI,Attarchi SARA,LU Linlin,Naboureh AMIN,Alavipanah KAZEM SEYED..Impact of urban sprawl on land surface temperature in the Mashhad City,Iran:A deep learning and cloud-based remote sensing analysis[J].干旱区科学,2025,17(3):285-303,19.
