نتایج جستجو برای: landsat land surface temperature lst
تعداد نتایج: 1128966 فیلتر نتایج به سال:
Land Surface Temperature (LST) is an important indicator of the study of energy balance models at the earthchr('39')s surface and the interactions between the Earth and the atmosphere on a regional and global scale. To date, different algorithms have been developed in the last few decades to determine the land surface temperature using various satellite images. In this study, a new split window...
Surface urban heat island (SUHI) is defined as the elevated land surface temperature (LST) in urban area in comparison with non-urban areas, and it can influence the energy consumption, comfort and health of urban residents. In this study, the existence of daytime SUHI, in Cairo and its new towns during the summer, is investigated using three different approaches; (1) utilization of pre-urbaniz...
The main factors influencing the spatiotemporal variability of urban climate are quite widely recognized, including, for example, the thermal properties of materials used for surfaces and buildings, the mass, height and layout of the buildings themselves and patterns of land use. However, the roles played by particular factors vary from city to city with respect to differences in geographical l...
APRIL 2004 AMERICAN METEOROLOGICAL SOCIETY | S atellite-based surface temperature is referred to as skin temperature (Dickinson 1994). The National Research Council (NRC; 2000) and the Intergovernmental Panel on Climate Change (IPCC; Houghton et al. 2001) pointed out the urgent need for long-term remote sensing–based land surface skin temperature (LST) data in global warming studies to improve ...
Land Surface Temperature (LST) as provided by remote sensing onboard satellites is a key parameter for a number of applications in Earth System studies, such as numerical modelling or regional estimation of surface energy and water fluxes. In the case of Moderate Resolution Imaging Spectroradiometer (MODIS) onboard Terra or Aqua, pixels have resolutions near 1 km2, LST values being an average o...
In this study, we retrieved the land surface temperature (LST) of Guangzhou on Jan 14, 2013 from HJ-1B satellite data. The retrieval was based on the characteristics of HJ-1B thermal infrared band and revised QK&B algorithm was adopted. The established partial differential equation showed that emissivity error of 0.01 resulted in LST error of around 0.6 K. The LST error was inversely proportion...
Most current statistical models for downscaling the remotely sensed land surface temperature (LST) are based on the assumption of the scale-invariant LST-descriptors relationship, which is being debated and requires an in-depth examination. Additionally, research on downscaling LST to high or very high resolutions (~10 m) is still rare. Here, a simple analytical model was developed to quantify ...
This paper presents the potential for soil moisture (SM) retrieval using Sentinel-1 C-band Synthetic Aperture Radar (SAR) data acquired in Interferometric Wide Swath (IW) mode along with Land Surface Temperature (LST) estimated from analysis of LANDSAT-8 digital thermal data. In this study on 27 February 2020 was downloaded Copernicus website and OLI 24 https://earthexplorer.usgs.gov/.The sampl...
The Landsat program has been producing an archive of thermal imagery that spans the globe and covers 30 years of the thermal history of the planet at human scales (60–120 m). Most of that archive’s absolute radiometric calibration has been fixed through vicarious calibration techniques. These calibration ties to trusted values have often taken a year or more to gather sufficient data and, in so...
The combined usage of high-resolution satellite images and thermal infrared (TIR) data helps understanding the thermal effect of urban fabric properties and the mechanism of urban heat island (UHI) formation. In this study, three typical urban functional zones (UFZs) of downtown Shanghai were chosen for quantifying the relationship between fine-scale urban fabric properties and their thermal ef...
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