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 …
[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 …
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 …
[HTML][HTML] Interaction of climate, topography and soil properties with cropland and cropping pattern using remote sensing data and machine learning methods
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 …
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
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 …
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 …
Atmospheric Anomalies Associated with the 2021 Mw 7.2 Haiti Earthquake Using Machine Learning from Multiple Satellites
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 …
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 …
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
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 …
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 …
ecological influences on parameters and stressors associated with riparian health indicators …