Land-use land-cover classification by machine learning classifiers for satellite observations—A review

S Talukdar, P Singha, S Mahato, S Pal, YA Liou… - Remote sensing, 2020 - mdpi.com
Rapid and uncontrolled population growth along with economic and industrial development,
especially in develo** countries during the late twentieth and early twenty-first centuries …

Cleaning the River Ganga: Impact of lockdown on water quality and future implications on river rejuvenation strategies

V Dutta, D Dubey, S Kumar - Science of the Total Environment, 2020 - Elsevier
Clean rivers and healthy aquatic life symbolize that the ecosystem is functioning well. The
Ganga River has shown signs of rejuvenation and a significant improvement on many …

[HTML][HTML] Modeling fragmentation probability of land-use and land-cover using the bagging, random forest and random subspace in the Teesta River Basin …

S Talukdar, KU Eibek, S Akhter, SK Ziaul… - Ecological …, 2021 - Elsevier
Land-use and land-cover (LULC) changes have become a crucial issue that urgently needs
to be addressed due to global environmental change. Many studies have employed remote …

Using analytical hierarchy process and multi-influencing factors to map groundwater recharge zones in a semi-arid Mediterranean coastal aquifer

A Zghibi, A Mirchi, MH Msaddek, A Merzougui, L Zouhri… - Water, 2020 - mdpi.com
Map** groundwater recharge zones (GWRZs) is essential for planning artificial recharge
programs to mitigate groundwater decline and saltwater intrusion into coastal aquifers. We …
PT Nguyen, DH Ha, A Jaafari, HD Nguyen… - International journal of …, 2020 - mdpi.com
The main aim of this study is to assess groundwater potential of the DakNong province,
Vietnam, using an advanced ensemble machine learning model (RABANN) that integrates …

[HTML][HTML] Analysis of methods used to validate remote sensing and GIS-based groundwater potential maps in the last two decades: A review

G Bennett - Geosystems and Geoenvironment, 2024 - Elsevier
The integration of remote sensing data, machine learning and geographic information
system in managing and analysing spatial data helps in generating maps showing …

[HTML][HTML] Field based index of flood vulnerability (IFV): A new validation technique for flood susceptible models

S Mahato, S Pal, S Talukdar, TK Saha, P Mandal - Geoscience Frontiers, 2021 - Elsevier
The flood hazard management is one of the major challenges in the floodplain regions
worldwide. With the rise in population growth and the spread of infrastructural development …

Application of analytical hierarchical process, multi-influencing factor, and geospatial techniques for groundwater potential zonation in a semi-arid region of western …

B Yadav, LC Malav, A Jangir, SK Kharia… - Journal of Contaminant …, 2023 - Elsevier
Groundwater resources are alarmingly depleting due to over-exploitation and significant
climate changes over time. Therefore, demarcation of groundwater potential zones is …

[HTML][HTML] Spatial prediction of groundwater potential and driving factor analysis based on deep learning and geographical detector in an arid endorheic basin

Z Wang, J Wang, J Han - Ecological Indicators, 2022 - Elsevier
Substantial mineral resources are enriched in the arid endorheic basins; however, due to
environmental constraints, these areas face water shortages as well as its extremely uneven …