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Landscape metrics in assessing how the configuration of urban green spaces affects their cooling effect: A systematic review of empirical studies
Urban green spaces (UGS) are effective mitigations to excessive urban heat. Landscape
metrics (LMs) have been widely used to assess how UGS configuration, ie, edge and area …
metrics (LMs) have been widely used to assess how UGS configuration, ie, edge and area …
Land change modeler and CA-Markov chain analysis for land use land cover change using satellite data of Peshawar, Pakistan
Urbanization is a global phenomenon that caused many regions worldwide to face dramatic
Land Use Land Cover (LULC) changes associated with urban sprawl and significant …
Land Use Land Cover (LULC) changes associated with urban sprawl and significant …
[HTML][HTML] Robust drivers of urban land surface temperature dynamics across diverse landscape characters: An augmented systematic literature review
To effectively develop strategies that address the escalating surface temperatures of cities in
diverse landscape characters, various and sometimes contradicting drivers are presented in …
diverse landscape characters, various and sometimes contradicting drivers are presented in …
Prediction of flash flood susceptibility using integrating analytic hierarchy process (AHP) and frequency ratio (FR) algorithms
The landscape of Pakistan is vulnerable to flood and periodically affected by floods of
different magnitudes. The aim of this study was aimed to assess the flash flood susceptibility …
different magnitudes. The aim of this study was aimed to assess the flash flood susceptibility …
Modelling of land use and land cover changes and prediction using CA-Markov and Random Forest
Abstract We used the Cellular Automata Markov (CA-Markov) integrated technique to study
land use and land cover (LULC) changes in the Cholistan and Thal deserts in Punjab …
land use and land cover (LULC) changes in the Cholistan and Thal deserts in Punjab …
Map** and monitoring of spatio-temporal land use and land cover changes and relationship with normalized satellite indices and driving factors
Climate change has become a severe threat all around the world. Pakistan is also affected
by climate change. It has become a severe problem in any part of the country. It is land …
by climate change. It has become a severe problem in any part of the country. It is land …
Prediction of surface urban heat island based on predicted consequences of urban sprawl using deep learning: A way forward for a sustainable environment
The present work aimed at the spatiotemporal analysis of Land Surface Temperature (LST)
and several land-use land-cover spectral indices, namely Normalized Difference Vegetation …
and several land-use land-cover spectral indices, namely Normalized Difference Vegetation …
The use of Multispectral Radio-Meter (MSR5) data for wheat crop genotypes identification using machine learning models
Satellite remote sensing is widely being used by the researchers and geospatial scientists
due to its free data access for land observation and agricultural activities monitoring. The …
due to its free data access for land observation and agricultural activities monitoring. The …
Recent trends of land surface temperature in relation to the influencing factors using Google Earth Engine platform and time series products in megacities of India
Increasing land surface temperature (LST) is one of the significant anthropogenic issues that
is threatening livelihoods in urban areas. Understanding the urban LST is essential for …
is threatening livelihoods in urban areas. Understanding the urban LST is essential for …
Urban fragmentation approach for assessing thermal environment dynamics: A case study of semi-arid city from a comfort perspective
Urbanization is a worldwide multidimensional phenomenon that accelerates anthropogenic
activities and modifies Land Use and Land Cover (LULC) by replacing natural landscapes …
activities and modifies Land Use and Land Cover (LULC) by replacing natural landscapes …