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The use of remote sensing for desertification studies: A review
The study and assessment of desertification and/or the advance or retreat of arid areas as a
function of natural and anthropogenic causes is necessary for the prediction of future risks …
function of natural and anthropogenic causes is necessary for the prediction of future risks …
Predictive modeling of land surface temperature (LST) based on Landsat-8 satellite data and machine learning models for sustainable development
Abstract Accurate prediction of Land Surface Temperature (LST) is critical for understanding
and mitigating the effects of climate change and land use dynamics. This study proposes a …
and mitigating the effects of climate change and land use dynamics. This study proposes a …
Development of the triangle method for drought studies based on remote sensing images: A review
Map** and monitoring drought supports climate change adaptation of resilient
ecosystems. The temporal and spatial scale aspects of drought can be efficiently mapped …
ecosystems. The temporal and spatial scale aspects of drought can be efficiently mapped …
Assessment of changes in land use, land cover, and land surface temperature in the mangrove forest of Sundarbans, northeast coast of India
This paper investigates the impacts of changing land use–land cover on the land surface
temperature (LST) and normalized differential vegetation index (NDVI) distribution in the …
temperature (LST) and normalized differential vegetation index (NDVI) distribution in the …
Analysis of urban heat island (UHI) in relation to normalized difference vegetation index (NDVI): A comparative study of Delhi and Mumbai
A Grover, RB Singh - Environments, 2015 - mdpi.com
The formation and occurrence of urban heat island (UHI) is a result of rapid urbanization and
associated concretization. Due to intensification of heat combined with high pollution levels …
associated concretization. Due to intensification of heat combined with high pollution levels …
Spatio-temporal dynamics of rangeland transformation using machine learning algorithms and remote sensing data
Rangelands globally face escalating threats from overgrazing, land conversion, and climate
change. This study investigates spatio-temporal rangeland degradation patterns in …
change. This study investigates spatio-temporal rangeland degradation patterns in …
Analyzing land surface temperature distribution in response to land use/land cover change using split window algorithm and spectral radiance model in Sundarban …
The paper utilized Landsat 5 TM and Landsat 8 OLI for analyzing land use/land cover
change and its impact on land surface temperature in Sundarban Biosphere Reserve, India …
change and its impact on land surface temperature in Sundarban Biosphere Reserve, India …
Temperature-land cover interactions: The inversion of urban heat island phenomenon in desert city areas
Remote sensing data from MODIS, ASTER and LANDSAT 7 sensors were used to assess
land cover–temperature interactions in the Abu Dhabi metropolitan area over a 10-year …
land cover–temperature interactions in the Abu Dhabi metropolitan area over a 10-year …
[HTML][HTML] Spatio–temporal assessment of drought in Ethiopia and the impact of recent intense droughts
The recent droughts that have occurred in different parts of Ethiopia are generally linked to
fluctuations in atmospheric and ocean circulations. Understanding these large-scale …
fluctuations in atmospheric and ocean circulations. Understanding these large-scale …
[HTML][HTML] Agricultural drought detection with MODIS based vegetation health indices in southeast Germany
Droughts during the growing season are projected to increase in frequency and severity in
Central Europe in the future. Thus, area-wide monitoring of agricultural drought in this region …
Central Europe in the future. Thus, area-wide monitoring of agricultural drought in this region …