Results 171 to 180 of about 391,416 (323)
A Mechanism-Learning Deeply Coupled Model for Remote Sensing Retrieval of Global Land Surface Temperature [PDF]
Land surface temperature (LST) retrieval from remote sensing data is pivotal for analyzing climate processes and surface energy budgets. However, LST retrieval is an ill-posed inverse problem, which becomes particularly severe when only a single band is available. In this paper, we propose a deeply coupled framework integrating mechanistic modeling and
arxiv
ELITE land surface temperature: hourly seamless 0.02° LST over East Asia (2018)
Jie Cheng, Shengyue Dong, Jiancheng Shi
openalex +2 more sources
Evolution of urban areas and land surface temperature [PDF]
With the global population on the rise, our cities have been expanding to accommodate the growing number of people. The expansion of cities generally leads to the engulfment of peripheral areas. However, such expansion of urban areas is likely to cause increment in areas with increased land surface temperature (LST).
arxiv
〈Research Reports〉Spontaneous simulation of land surface temperature in Tianjin city, China [PDF]
Monitoring and simulating land surface temperature (LST) by using satellite images is an essential approach to understand land use/cover changes, especially in developing countries where the availability of ground truth and statistical data is limited ...
Ruci WANG, Yuji MURAYAMA, 村山 祐司
core +1 more source
Influence of vegetation index to the rainfall intensity in Pasuruan Area, East Java Province, Indonesia [PDF]
An increase in population increases the rate of urbanization. This results in changes in land cover from vegetation to artificial material. As a result, much of the land surface reflects the sun's energy.
Iqbal, M. Taufik+2 more
core +2 more sources
Rapid urbanization has led to changes in the urban land surface thermal environment. However, there are still much unknown about the urban land surface thermal conditions in permafrost regions.
Xiang-Long Li+7 more
doaj
Land Surface Temperature Super-Resolution with a Scale-Invariance-Free Neural Approach: Application to MODIS [PDF]
Due to the trade-off between the temporal and spatial resolution of thermal spaceborne sensors, super-resolution methods have been developed to provide fine-scale Land SurfaceTemperature (LST) maps. Most of them are trained at low resolution but applied at fine resolution, and so they require a scale-invariance hypothesis that is not always adapted ...
arxiv
GLASS Land Surface Temperature product (1981-2000): monthly averaged LST
Jin Ma, Ji Zhou, Shunlin Liang
openalex +2 more sources