نتایج جستجو برای: landsat land surface temperature lst
تعداد نتایج: 1128966 فیلتر نتایج به سال:
The VIIRS Land Surface Temperature (LST) Environmental Data Record (EDR) has reached validated (V1 stage) maturity in December 2014. This study compares VIIRS v1 LST with the ground in situ observations and with heritage LST product from MODIS Aqua and AATSR. Comparisons against U.S. SURFRAD ground observations indicate a similar accuracy among VIIRS, MODIS and AATSR LST, in which VIIRS LST pre...
Urban Heat Islands increase surface temperatures which impact the health and well-being of urban populations. Radiative forcing is impacted by changes to land associated with urbanization that are particularly significant immediately after sunset. This paper aimed analyze behavior UHI in different Local Climate Zones (LCZ) Bragança city (Portugal), using Air Temperature (Ta), satellite images (...
Land Surface Temperature (LST) is a key parameter in climate systems. The methods for retrieving LST from hyperspectral thermal infrared data either require accurate atmospheric profile data or require thousands of continuous channels. We aim to retrieve LST for natural land surfaces from hyperspectral thermal infrared data using an adapted multi-channel method taking Land Surface Emissivity (L...
This paper intended to examine the seasonal variations in the relationship between landscape pattern and land surface temperature based on a case study of Indianapolis, United States. The integration of remote sensing, GIS, and landscape ecology methods was used in this study. Four Terra's ASTER images were used to derive the landscape patterns and land surface temperatures (LST) in four season...
Abstract Evapotranspiration (ET) is an important process of the regional hydrothermal cycle. However, it unclear how mitigation urban ET in thermal environments occurs a spatial context. Landsat 8 satellite images from 2014 to 2018 Xuzhou and corresponding meteorological observations were selected, improved mono-window algorithm (IMW) RS-PM model applied invert land surface temperature (LST) ET...
The present study aimed to demonstrate the relationship of some environmental factors, vegetation greenness index (NDVI) and land surface temperature (LST), with the seasonal variations of Mansonia bonneae and Ma. uniformis in Khosit Subdistrict, Narathiwat Province. It was found that the Mansonia population lagged one month behind but correlated positively to NDVI, LST and rainfall. A rise in ...
Several indices, including the normalized difference vegetation index (NDVI), normalized difference build-up index (NDBI), and normalized difference water index (NDWI), were retrieved from the Landsat 5 Thematic Mapper (TM) images, and the land surface temperature (LST) was reversed by the thermal radiation transfer model. Next, with the help of the thermal field variance index from LST, charac...
Keywords: Urban heat island Land use patterns Landscape metrics Soil sealing NDVI Heat-stress risk Vulnerability Demographic change Climate change Berlin a b s t r a c t In western societies, the combined effects of climate warming, proceeding urbanization, and demographic change (e.g. population aging) increase the risk of city populations to be subjected to heat-related stress. To provide a s...
neighbouring countryside. In this study, UHI intensity is assessed using Landsat 8 data in Dar es Salaam, Tanzania. An ERDAS Imagine algorithm used to acquire the land surface temperature (LST) from data. The association of LST and normalized difference vegetation index (NDVI) as well build-up (NDBI) also assessed. outcome study shows that influence Salaam situated mainly built-up areas compare...
The Surface Urban Heat Island (SUHI) effect refers to the difference in Land Temperature (LST) between an urban area and its surrounding non-urban area. LST can provide detailed information on variations different types of land cover. This study, therefore, analyzes behavior SUHIs fourteen cities El Bajío Industrial Corridor, Mexico, using Landsat satellite images from 2020, with QGIS software....
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