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 …
Modelling, mapping 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 …
Mapping 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 …
Terrestrial and groundwater storage characteristics and their quantification in the Chitral (Pakistan) and Kabul (Afghanistan) river basins using GRACE/GRACE-FO …
Abstract In Pakistan and Afghanistan, intensive groundwater abstraction has accelerated
socioeconomic development, but it also endangers the long-term sustainability of …
socioeconomic development, but it also endangers the long-term sustainability of …
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 …
A series of spatio-temporal analyses and predicting modeling of land use and land cover changes using an integrated Markov chain and cellular automata models
For sustainable land cover planning, spatial land cover models are essential. Deforestation,
loss of agriculture, and conversion of pasture land to urban and industrial uses are only …
loss of agriculture, and conversion of pasture land to urban and industrial uses are only …
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 …
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 …
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 …