Terrestrial and groundwater storage characteristics and their quantification in the Chitral (Pakistan) and Kabul (Afghanistan) river basins using GRACE/GRACE-FO …

A Tariq, S Ali, I Basit, A Jamil, N Farmonov… - Groundwater for …, 2023 - Elsevier
Abstract In Pakistan and Afghanistan, intensive groundwater abstraction has accelerated
socioeconomic development, but it also endangers the long-term sustainability of …

[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 …

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 …

[HTML][HTML] Interaction of climate, topography and soil properties with cropland and cropping pattern using remote sensing data and machine learning methods

J Liu, K Yang, A Tariq, L Lu, W Soufan… - The Egyptian Journal of …, 2023 - Elsevier
Precision agriculture which facilitates and enables crop management through site-specific
recommendations, is essential to optimize agricultural inputs in space and time. In this study …

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 …

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

A Tariq, F Mumtaz - Environmental Science and Pollution Research, 2023 - Springer
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 …

Atmospheric Anomalies Associated with the 2021 Mw 7.2 Haiti Earthquake Using Machine Learning from Multiple Satellites

MM Khan, B Ghaffar, R Shahzad, MR Khan, M Shah… - Sustainability, 2022 - mdpi.com
The remote sensing-based Earth satellites has become a beneficial instrument for the
monitoring of natural hazards. This study includes a multi-sensors analysis to estimate the …

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 …

Seismo ionospheric anomalies around and over the epicenters of Pakistan earthquakes

M Shah, R Shahzad, M Ehsan, B Ghaffar, I Ullah… - Atmosphere, 2023 - mdpi.com
Global Navigation Satellite System (GNSS)-based ionospheric anomalies are nowadays
used to identify a possible earthquake (EQ) precursor and hence a new research topic in …

[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 …