Predictive modeling of land surface temperature (LST) based on Landsat-8 satellite data and machine learning models for sustainable development

CB Pande, JC Egbueri, R Costache, LM Sidek… - Journal of cleaner …, 2024 - Elsevier
Abstract Accurate prediction of Land Surface Temperature (LST) is critical for understanding
and mitigating the effects of climate change and land use dynamics. This study proposes a …

Application of the machine learning methods for GRACE data based groundwater modeling, a systematic review

V Nourani, NJ Paknezhad, A Ng, Z Wen… - Groundwater for …, 2024 - Elsevier
Abstract The Gravity Recovery and Climate Experiment (GRACE) data has brought
significant advancements in groundwater (GW) analysis by providing crucial information …

Land use and land cover change detection using the random forest approach: the case of the upper Blue Nile River Basin, Ethiopia

BG Tikuye, M Rusnak, BR Manjunatha… - Global …, 2023 - Wiley Online Library
Monitoring land use change dynamics is critical for tackling food security, climate change,
and biodiversity loss on a global scale. This study is designed to classify land use and land …

A secondary modal decomposition ensemble deep learning model for groundwater level prediction using multi-data

X Cui, Z Wang, N Xu, J Wu, Z Yao - Environmental Modelling & Software, 2024 - Elsevier
Groundwater level (GWL) prediction is important for ecological protection and resource
utilization; it helps in formulating policies for artificial groundwater recharge, modifying the …

Unlocking the hidden potential: groundwater zone map** using AHP, remote sensing and GIS techniques

RS Shelar, SB Nandgude, CB Pande… - … , Natural Hazards and …, 2023 - Taylor & Francis
Groundwater resource problems are increasing development and planning challenges due
to climate change and overexploitation, necessitating assessments of their potential and …

Machine learning-based monitoring and design of managed aquifer rechargers for sustainable groundwater management: scope and challenges

AG Sheik, A Kumar, AG Sharanya, SR Amabati… - … Science and Pollution …, 2024 - Springer
Managed aquifer recharge (MAR) replenishes groundwater by artificially entering water into
subsurface aquifers. This technology improves water storage, reduces over-extraction, and …

[HTML][HTML] Drinking water resources suitability assessment based on pollution index of groundwater using improved explainable artificial intelligence

SI Abba, MA Yassin, AS Mubarak, SMH Shah, J Usman… - Sustainability, 2023 - mdpi.com
The global significance of fluoride and nitrate contamination in coastal areas cannot be
overstated, as these contaminants pose critical environmental and public health challenges …

Forecasting of meteorological drought using ensemble and machine learning models

CB Pande, LM Sidek, AM Varade, I Elkhrachy… - Environmental Sciences …, 2024 - Springer
This study highlights drought forecasting for understanding the semi-arid area in India,
where drought phenomena play vital role in the irrigation, drinking water supplies, and …

A novel implementation of pre-processing approaches and hybrid kernel-based model for short-and long-term groundwater drought forecasting

S Shahnazi, K Roushangar, H Hashemi - Journal of Hydrology, 2025 - Elsevier
Groundwater drought, as a form of hydrological drought, embodies the distinctive
characteristics of the aquifer and human-induced disruptions within the hydrological system …

Building a mangrove ecosystem monitoring tool for managers using Sentinel-2 imagery in Google Earth Engine

SM Kotikot, O Spencer, JR Cissell, G Connette… - Ocean & Coastal …, 2024 - Elsevier
Mangroves are among the most productive ecosystems worldwide, providing numerous
ecological and socio-economic co-benefits. Though highly adapted to fluctuating …