30-meter land surface temperature from Landsat via progressive self-training downscaling
30-meter land surface temperature from Landsat via progressive self-training downscaling。Remote Sensing of Environment
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30米 地表温度 遥感
Kernel-Driven Model Correction of Thermal Directionality: Pixel-Level Analysis Using Airborne Multi-Angular Observations
基于机载多角度热红外数据，在像素尺度评估核驱动模型并简化，以校正地表温度方向性效应。
Geospatial Analysis of Climate-Driven Landscape Change and Urban Expansion: Assessing Human–Environment Interactions, Resource Pressure, and Sustainable Spatial Planning
基于Landsat遥感分析德里首都区2003-2023年土地利用变化、地表温度与城市扩张，评估资源压
Understanding Land Use/Land Cover Dynamics and Land Surface Temperature Variations Through Machine Learning and Geospatial Approach: A Case Study of Kullu District, Himachal Pradesh, India
用机器学习与遥感分析印度库鲁区1991-2022年土地利用变化及其对地表温度的影响。
Journal of Environmental Engineering and Landscape Management·9月21日 · 周一62 分 论文农业AI与大模型农业人工智能与决策模型阅读 2
Geospatial and machine learning techniques for spatiotemporal analyses of urban dynamics in the Coimbatore city, South India
基于Landsat影像与机器学习分析印度哥印拜陀市2001-2023年城市扩张及其环境效应。
Generation of representative datasets of future Copernicus Sentinel Expansion Mission Data (hyperspectral, thermal and L-band) as basis for innovative agricultural products
生成CHIME高光谱、LSTM热红外和ROSE-L L波段模拟数据集，为未来Sentinel扩展任务