Modelling, mapping 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 …
[HTML][HTML] A hybrid of ensemble machine learning models with RFE and Boruta wrapper-based algorithms for flash flood susceptibility assessment
Flash floods are among the world most destructive natural disasters, and developing
optimum hybrid Machine Learning (ML) models for flash flood susceptibility (FFS) modeling …
optimum hybrid Machine Learning (ML) models for flash flood susceptibility (FFS) modeling …
Spatial downscaling of GRACE data based on XGBoost model for improved understanding of hydrological droughts in the Indus Basin Irrigation System (IBIS)
Climate change may cause severe hydrological droughts, leading to water shortages which
will require to be assessed using high-resolution data. Gravity Recovery and Climate …
will require to be assessed using high-resolution data. Gravity Recovery and Climate …
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 …
Parameters and methods used in flood susceptibility mapping: a review
CM Kaya, L Derin - Journal of Water and Climate Change, 2023 - iwaponline.com
A correct understanding of the parameters and methods used in flood susceptibility mapping
(FSM) is critical for identifying the strengths and limitations of different mapping approaches …
(FSM) is critical for identifying the strengths and limitations of different mapping approaches …
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 …
Identification of time-varying wetlands neglected in Pakistan through remote sensing techniques
Abstract Aside from Ramsar Convention awareness programs, the concept of wetlands is
mostly ignored in developing countries. Wetland ecosystems are essential to hydrological …
mostly ignored in developing countries. Wetland ecosystems are essential to hydrological …
Extraction of Surface Water Bodies using Optical Remote Sensing Images: A Review
Abstract Surface Water Mapping (SWM) is essential for studying hydrological and ecological
phenomena. SWM holds significant importance in water resource management …
phenomena. SWM holds significant importance in water resource management …