Results 91 to 100 of about 74,933 (301)

Stability of cloud detection methods for Land Surface Temperature (LST) Climate Data Records (CDRs)

open access: hybridRemote Sensing of Environment
Claire E. Bulgin   +3 more
openalex   +2 more sources

Satellite evidence for significant biophysical consequences of the “Grain for Green” Program on the Loess Plateau in China [PDF]

open access: yes, 2014
Afforestation has been implemented worldwide as regional and national policies to address environmental problems and to improve ecosystem services. China\u27s central government launched the “Grain for Green” Program (GGP) in 1999 to increase forest ...
Xiao, Jingfeng
core   +3 more sources

A Machine Learning‐Based Forecasting Approaches and Correlation Analysis to Assess Future Extreme Heat Scenarios in Bangladesh and Its Impact on Public Health

open access: yesEngineering Reports, Volume 8, Issue 1, January 2026.
A Pearson correlation coefficient of 0.60 indicates a moderately positive linear relationship exists between the two variables. The correlation coefficient (r) can take a value ranging between −1 and 1. A significant correlation, which does not occur randomly, will use the p value to determine statistical significance of the correlation coefficient ...
Tanvir Ehsan   +3 more
wiley   +1 more source

LAND SURFACE TEMPERATURES ESTIMATED ON GROUNDOBSERVED DATA AND SATELLITE IMAGES, DURING THE VEGETATION PERIOD IN THE OLTENIA PLAIN [PDF]

open access: yesAerul şi Apa: Componente ale Mediului, 2015
The purpose of this study is to analyze the land surface temperatures by using climatological and remote sensing data during the vegetation period in the Oltenia Plain.
ONŢEL IRINA, IONAC NICOLETA
doaj   +1 more source

Spatial and temporal patterns of land surface temperature in the Mekong Basin [PDF]

open access: yes, 2014
Land surface temperature (LST) is an essential part of the surface energy budget and can be used as a measure for climate variability and change, given that regular measurements on a broad spatial scale are available.
Frey, Corinne, Künzer, Claudia
core  

Modelling the Effects of Urban Growth on Land Surface Temperature and Carbon Emissions Through Geospatial and Machine Learning Techniques in Gazipur, Bangladesh

open access: yesGeo: Geography and Environment, Volume 13, Issue 1, January‐June 2026.
Short Abstract This study analyses the impact of rapid urban expansion on seasonal land surface temperature (LST) and carbon emissions in Gazipur, Bangladesh, from 2003 to 2023, with projections to 2043 using geospatial and machine learning models. Results indicate a significant increase in built‐up area and LST, as well as strong correlations between ...
Md. Naimur Rahman   +5 more
wiley   +1 more source

Retrieval of Land Surface Temperature of Lahore Through Landsat-8 TIRS Data

open access: yesInternational Journal of Economic and Environment Geology, 2019
Land surface temperature (LST) is an important parameter in global climate change and urban thermal environmental studies. The significance of land surface temperature is being acknowledged gradually and interest is ...
Muhammad Nasar -u-Minallah
doaj  

A long-term monthly analytical study on the relationship of LST with normalized difference spectral indices

open access: yesEuropean Journal of Remote Sensing, 2021
This study analyzes the long-term monthly variation of land surface temperature (LST) and its relationship with normalized difference spectral indices in the Raipur City of India using one hundred and 23 Landsat images from 1988 to 2020. In specific, the
Subhanil Guha, Himanshu Govil
doaj   +1 more source

Estimation of Spatio-Temporal Near Surface Air Temperature from Land Surface Temperature (LST) Generated by Landsat 8 Satellite Data

open access: yes, 2023
Abstract Predicting air temperature with high accuracy is useful for many agricultural, environmental, hydrological, and ecological applications, especially for global climate change studies. Air temperature is traditionally obtained from measurements at mobile or stationary meteorological stations and their distribution is determined by ...
Nihat KARAKUŞ   +3 more
openaire   +1 more source

Observational Study on the District‐Scale Characteristics of Local Precipitation and Extreme Wind From the Tropical Cyclones Affecting Shanghai

open access: yesMeteorological Applications, Volume 33, Issue 1, January/February 2026.
Our research highlights the obvious effect of the underlying surface and the TC tracks on the TC precipitation and wind in Shanghai. The underlying surface in Shanghai significantly decreases the mean WS3s‐max, resulting in the lowest value in UB. Regarding the spatial distribution of mean Ptotal, both the underlying surface and TC structure exerted a ...
Zhihui Han   +4 more
wiley   +1 more source

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