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Monitoring landuse change in Uchhali and Khabeki wetland lakes, Pakistan using remote sensing data
Although it is a globally significant wetland, the ecological environment of Soon valley
(Ucchali and Khabeki wetland lakes, Pakistan) is being negatively impacted by the rapid …
(Ucchali and Khabeki wetland lakes, Pakistan) is being negatively impacted by the rapid …
Spatial pattern evolution and prediction scenario of habitat quality in typical fragile ecological region, China: A case study of the Yellow River floodplain area
H Zhao, X Xu, J Tang, Z Wang, C Miao - Heliyon, 2023 - cell.com
Abstract The Yellow River basin is an important area for China to implement ecological
protection policies. Studying the habitat quality of the Yellow River floodplain area is of great …
protection policies. Studying the habitat quality of the Yellow River floodplain area is of great …
Machine learning-based wetland vulnerability assessment in the sindh province ramsar site using remote sensing data
Wetlands provide vital ecological and socioeconomic services but face escalating pressures
worldwide. This study undertakes an integrated spatiotemporal assessment of the …
worldwide. This study undertakes an integrated spatiotemporal assessment of the …
Modelling, map** and monitoring of forest cover changes, using support vector machine, kernel logistic regression and naive bayes tree models with optical remote …
The present study is designed to monitor the spatio-temporal changes in forest cover using
Remote Sensing (RS) and Geographic Information system (GIS) techniques from 1990 to …
Remote Sensing (RS) and Geographic Information system (GIS) techniques from 1990 to …
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 …
Monitoring the population change and urban growth of four major Pakistan cities through spatial analysis of open source data
RW Aslam, H Shu, A Yaseen - Annals of GIS, 2023 - Taylor & Francis
Cities are complex and dynamic entities in close proximity of people, implying multi temporal
observations to analyse and understand the urban context. At present, open-source data …
observations to analyse and understand the urban context. At present, open-source data …
Soil erosion assessment by RUSLE model using remote sensing and GIS in an arid zone
In this research, we used the Revised Universal Soil Loss Equation (RUSLE) and
Geographical Information System (GIS) to predict the annual rate of soil loss in the District …
Geographical Information System (GIS) to predict the annual rate of soil loss in the District …
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 …