Spatio-temporal assessment of land use land cover based on trajectories and cellular automata Markov modelling and its impact on land surface temperature of …
This research aims to assess the urban growth and impact on land surface temperature
(LST) of Lahore, the second biggest city in Pakistan. In this research, various geographical …
(LST) of Lahore, the second biggest city in Pakistan. In this research, various geographical …
[HTML][HTML] 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 …
An effective geospatial-based flash flood susceptibility assessment with hydrogeomorphic responses on groundwater recharge
Floods are one of the most common natural disasters, resulting in the extensive destruction
of infrastructure, property, and human life. The destructive potential of a flood depends on …
of infrastructure, property, and human life. The destructive potential of a flood depends on …
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 …
Comparative analysis of GIS and RS based models for delineation of groundwater potential zone mapping
Groundwater is a crucial natural resource that varies in quality and quantity across Khyber
Pakhtunkhwa (KPK), Pakistan. Increased population and urbanization place enormous …
Pakhtunkhwa (KPK), Pakistan. Increased population and urbanization place enormous …
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 …
[HTML][HTML] 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 …
[HTML][HTML] Landslide Dynamic Susceptibility Mapping Base on Machine Learning and the PS-InSAR Coupling Model
F Miao, Q Ruan, Y Wu, Z Qian, Z Kong, Z Qin - Remote Sensing, 2023 - mdpi.com
Complex and fragile geological conditions combined with periodic fluctuations in reservoir
water levels have led to frequent landslide disasters in the Three Gorges Reservoir area …
water levels have led to frequent landslide disasters in the Three Gorges Reservoir area …
[HTML][HTML] GIS-based flood susceptibility mapping using bivariate statistical model in Swat River Basin, Eastern Hindukush region, Pakistan
Frequent flooding can greatly jeopardize local people's lives, properties, agriculture,
economy, etc. The Swat River Basin (SRB), in the eastern Hindukush region of Pakistan, is a …
economy, etc. The Swat River Basin (SRB), in the eastern Hindukush region of Pakistan, is a …
[HTML][HTML] Effects of riparian buffer and stream channel widths on ecological indicators in the upper and lower Indus River basins in Pakistan
A Hira, M Arif, N Zarif, Z Gul, L Xiangyue… - Frontiers in …, 2023 - frontiersin.org
Riparian buffers and stream channel widths along river networks have extremely significant
ecological influences on parameters and stressors associated with riparian health indicators …
ecological influences on parameters and stressors associated with riparian health indicators …