Spatio-temporal assessment of land use land cover based on trajectories and cellular automata Markov modelling and its impact on land surface temperature of …

A Tariq, F Mumtaz, M Majeed, X Zeng - Environmental Monitoring and …, 2023 - Springer
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 …

[HTML][HTML] Prediction of flash flood susceptibility using integrating analytic hierarchy process (AHP) and frequency ratio (FR) algorithms

M Majeed, L Lu, MM Anwar, A Tariq, S Qin… - Frontiers in …, 2023 - frontiersin.org
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 …

An effective geospatial-based flash flood susceptibility assessment with hydrogeomorphic responses on groundwater recharge

A Tariq, LH Beni, S Ali, S Adnan… - Groundwater for …, 2023 - Elsevier
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 …

Mapping and monitoring of spatio-temporal land use and land cover changes and relationship with normalized satellite indices and driving factors

SS Wahla, JH Kazmi, A Tariq - Geology, Ecology, and Landscapes, 2023 - Taylor & Francis
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 …

Comparative analysis of GIS and RS based models for delineation of groundwater potential zone mapping

F Islam, A Tariq, R Guluzade, N Zhao… - … , Natural Hazards and …, 2023 - Taylor & Francis
Groundwater is a crucial natural resource that varies in quality and quantity across Khyber
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

M Asif, JH Kazmi, A Tariq, N Zhao… - Geocarto …, 2023 - Taylor & Francis
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 …

[HTML][HTML] The use of Multispectral Radio-Meter (MSR5) data for wheat crop genotypes identification using machine learning models

M Jamil, H Rehman, M Saqlain Zaheer, A Tariq… - Scientific Reports, 2023 - nature.com
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 …

[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 …

[HTML][HTML] GIS-based flood susceptibility mapping using bivariate statistical model in Swat River Basin, Eastern Hindukush region, Pakistan

ZU Rahman, W Ullah, S Bai, S Ullah, MA Jan… - Frontiers in …, 2023 - frontiersin.org
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 …

[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 …