A5039124522- Geophysics and Gravity Measurements
- Soil Moisture and Remote Sensing
- Urban Heat Island Mitigation
- Remote Sensing and Land Use
- Inertial Sensor and Navigation
- Land Use and Ecosystem Services
- Ocean Waves and Remote Sensing
- GNSS positioning and interference
Chinese Academy of Sciences
2019
State Key Laboratory of Remote Sensing Science
2019
Institute of Remote Sensing and Digital Earth
2019
Land surface temperature (LST) is an important input parameter to characterize urban environmental heat change. Existing satellite-borne thermal infrared sensor technology cannot completely support the applications using high spatial resolution LST, such as analysis of environment and energy consumption assessment. Downscaling LST alternative method retrieve resolution. In this paper, we propose improved multi-factor geographically weighted regression (MFGWR) algorithm for downscaling. More...