MaxEnt Modelling and Impact of Climate Change on Habitat Suitability Variations of Economically Important Chilgoza Pine (Pinus gerardiana Wall.) in South Asia
Chilgoza pine is an economically and ecologically important evergreen coniferous tree
species of the dry and rocky temperate zone, and a native of south Asia. This species is …
species of the dry and rocky temperate zone, and a native of south Asia. This species is …
A synthesis of spatial forest assessment studies using remote sensing data and techniques in Pakistan
This paper synthesizes research studies on spatial forest assessment and map** using
remote sensing data and techniques in Pakistan. The synthesis states that 73 peer-reviewed …
remote sensing data and techniques in Pakistan. The synthesis states that 73 peer-reviewed …
Land change modeler and CA-Markov chain analysis for land use land cover change using satellite data of Peshawar, Pakistan
Urbanization is a global phenomenon that caused many regions worldwide to face dramatic
Land Use Land Cover (LULC) changes associated with urban sprawl and significant …
Land Use Land Cover (LULC) changes associated with urban sprawl and significant …
Modelling, map** 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 …
Map** 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 …
An integrated approach of machine learning, remote sensing, and GIS data for the landslide susceptibility map**
Landslides triggered in mountainous areas can have catastrophic consequences, threaten
human life, and cause billions of dollars in economic losses. Hence, it is imperative to map …
human life, and cause billions of dollars in economic losses. Hence, it is imperative to map …
[HTML][HTML] Flash flood susceptibility assessment and zonation using an integrating analytic hierarchy process and frequency ratio model for the Chitral District, Khyber …
Pakistan is a flood-prone country and almost every year, it is hit by floods of varying
magnitudes. This study was conducted to generate a flash flood map using analytical …
magnitudes. This study was conducted to generate a flash flood map using analytical …
Facing the wildfire spread risk challenge: where are we now and where are we going?
Wildfire is a sudden and highly destructive natural disaster that poses significant challenges
in terms of response and rescue efforts. Influenced by factors such as climate, combustible …
in terms of response and rescue efforts. Influenced by factors such as climate, combustible …
Spatio-temporal analysis of forest fire events in the Margalla Hills, Islamabad, Pakistan using socio-economic and environmental variable data with machine learning …
Most forest fires in the Margalla Hills are related to human activities and socioeconomic
factors are essential to assess their likelihood of occurrence. This study considers both …
factors are essential to assess their likelihood of occurrence. This study considers both …