Remote sensing land surface temperature for meteorology and climatology: A review
CJ Tomlinson, L Chapman… - Meteorological …, 2011 - Wiley Online Library
The last decade has seen a considerable increase in the amount and availability of remotely
sensed data. This paper reviews the satellites, sensors and studies relevant to land surface …
sensed data. This paper reviews the satellites, sensors and studies relevant to land surface …
Disaggregation of remotely sensed land surface temperature: Literature survey, taxonomy, issues, and caveats
Land surface temperature (LST) is an important parameter highly responsive to surface
energy fluxes and has become valuable to many disciplines. Prior to the advent of satellites …
energy fluxes and has become valuable to many disciplines. Prior to the advent of satellites …
Generating surface soil moisture at 30 m spatial resolution using both data fusion and machine learning toward better water resources management at the field scale
Soil moisture has a considerable impact on the hydrological cycle, runoff generation,
drought development, and water resources management. Soil moisture products provided …
drought development, and water resources management. Soil moisture products provided …
Downscaling land surface temperatures at regional scales with random forest regression
C Hutengs, M Vohland - Remote Sensing of Environment, 2016 - Elsevier
Environmental monitoring with satellite data is facilitated by frequent observations at a fine
spatial scale. As land surface temperature (LST) is one environmental key variable, we …
spatial scale. As land surface temperature (LST) is one environmental key variable, we …
Generating daily land surface temperature at Landsat resolution by fusing Landsat and MODIS data
Land surface temperature (LST) is a crucial parameter in investigating environmental,
ecological processes and climate change at various scales, and is also valuable in the …
ecological processes and climate change at various scales, and is also valuable in the …
A framework for the retrieval of all-weather land surface temperature at a high spatial resolution from polar-orbiting thermal infrared and passive microwave data
Land surface temperature (LST) is an important parameter associated with the land-
atmosphere interface. Satellite remote sensing is the most effective method of measuring …
atmosphere interface. Satellite remote sensing is the most effective method of measuring …
A data mining approach for sharpening thermal satellite imagery over land
Thermal infrared (TIR) imagery is normally acquired at coarser pixel resolution than that of
shortwave sensors on the same satellite platform and often the TIR resolution is not suitable …
shortwave sensors on the same satellite platform and often the TIR resolution is not suitable …
New ECOSTRESS and MODIS land surface temperature data reveal fine-scale heat vulnerability in cities: A case study for Los Angeles County, California
Rapid 21st century urbanization combined with anthropogenic climate warming are
significantly increasing heat-related health threats in cities worldwide. In Los Angeles (LA) …
significantly increasing heat-related health threats in cities worldwide. In Los Angeles (LA) …
Spatiotemporal fusion of land surface temperature based on a convolutional neural network
Due to the tradeoff between spatial and temporal resolutions commonly encountered in
remote sensing, no single satellite sensor can provide fine spatial resolution land surface …
remote sensing, no single satellite sensor can provide fine spatial resolution land surface …
Spatial downscaling of MODIS land surface temperatures using geographically weighted regression: Case study in northern China
Land surface temperatures (LSTs) at high spatial resolution are crucial for hydrological,
meteorological, and ecological studies. Downscaling LSTs from coarse resolution to finer …
meteorological, and ecological studies. Downscaling LSTs from coarse resolution to finer …