We developed a new 6-year daily, daytime and nighttime, NOAA-14 AVHRR based land surface temperature (LST) dataset over continental Africa for the period 1995 through 2000. The processing chain was developed within the Global Inventory Modeling and Mapping System (GIMMS) at NASA's Goddard Space Flight Center. This paper describes the processing methodology used to convert the Global Area Covera...

Land surface temperature (LST) plays a major role in the study of surface energy balances. Remote sensing techniques provide ways to monitor LST at large scales. However, due to atmospheric influences, significant missing data exist in LST products retrieved from satellite thermal infrared (TIR) remotely sensed data. Although passive microwaves (PMWs) are able to overcome these atmospheric infl...

The study intaimsto evaluate the impact of landscape (Land use land cover) changeson Land surface temperature (LST) by using GIS and Remote sensing (RS) techniques in Lahoreduring 2017–2021.Supervised Maximum Likelihood classification method was used to classify theland cover classes. For retrieval temperature, Landsat 8 (Band 10)product level 2 used. Barren built- up area were identified as mo...

Abstract The present study assesses the monthly variation of land surface temperature (LST) and relationship between LST normalized difference vegetation index (NDVI) in Raipur City India using one hundred eighteen Landsat images from 1988 to 2019. results show that a is observed mean LST. highest found April (38.79oC), followed by May (36.64oC), June (34.56oC), March (32.11oC).The lowest Janua...

The reliable estimation of spatially distributed Land Surface Temperature (LST) is useful for monitoring regional land surface heat fluxes. A single-channel method is developed to derive the LST over the Heihe River Basin in China using data from the infrared sensor (IRS) onboard the Chinese “Environmental and Disaster Monitoring and Forecasting with a Small Satellite Constellation” (HJ-1B for ...

In many disciplines, knowledge on the accuracy of Land Surface Temperature (LST) as an input is of great importance. One of the most efficient methods in LST evaluation is cross validation. Well-documented and validated polar satellites with a high spatial resolution can be used as references for validating geostationary LST products. This study attempted to investigate the discrepancies betwee...

Ilhas de calor é um fenômeno que ocorre nas cidades, ocasionando aumento considerável da temperatura região em relação a suas regiões vizinhas. Neste artigo foi realizada uma análise temporal superfície do solo, conhecida como LST(Land Surface Temperature), e índice vegetação normalizada diferenciada, NDVI (Normalized Difference Vegetation Index) no surgimento ilhas utilizando processamento dig...

Optimizing urban morphology is an effective way to alleviate the thermal environment, and it has always been focus of planning. Although previous scholars have explored impact 2D/3D on Land Surface Temperature (LST), they rarely revealed differences along gradients, thus ignoring nonlinear relationship between LST. In this study, we use multi-source data such as night-time lights, Landsat 8, la...

This study was designed to model the spatio-temporal pattern of Land Use/Land Cover (LU/LC) indices and its relationship with Surface Temperature (LST) in Ibadan Metropolis from 1988 2018. Four Landsat images metropolis for 1988, 1999, 2013 2018 were used this study. surface temperature values vegetation, open surfaces built-up analysis carried out using ERDAS IMAGINE 9.2 order ascertain areas ...

Urbanization has contributed significantly to global warming. Kuching city grown rapidly in recent years as a result of favourable socioeconomic, political, and physical factors that will undoubtedly affect the urban climate environment. Landsat Thematic Mapper (ETM+) imagery from 2005, 2010, 2016, 2017 was used determine heat island effect by examining relationship between land-use changes lan...