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 …

Soil erosion assessment by rusle, google earth engine, and geospatial techniques over rel river watershed, Gujarat, India

KH Jodhani, D Patel, N Madhavan… - … Conservation Science and …, 2023 - Springer
The assessment of soil erosion holds paramount significance in sustainable land
management and environmental conservation. In this context, the integration of advanced …

[HTML][HTML] Numerical stability analysis and geotechnical investigation of landslide prone area (the case of Gechi district, Western Ethiopia)

TT Woldesenbet, HB Arefaine, MB Yesuf - Environmental Challenges, 2023 - Elsevier
The primary route linking Tobba, Gechi and Beddele has experienced landslides at three
locations, causing significant disruption to traffic. The juniper trees and electric poles have …

A state-of-the-art review on the quantitative and qualitative assessment of water resources using google earth engine

R Hasan, A Kapoor, R Singh, BK Yadav - Environmental Monitoring and …, 2024 - Springer
Water resource management is becoming essential due to many anthropogenic and climatic
factors resulting in dwindling water resources. Traditionally, geographic information systems …

A GIS-Based Index of Physical Susceptibility to Flooding as a Tool for Flood Risk Management

F Miranda, AB Franco, O Rezende, BBF da Costa… - Land, 2023 - mdpi.com
The identification and classification of flood-prone areas comprise a fundamental step in the
Flood Risk Management approach, providing subsidies for land use planning, floodproofing …

Dynamic monitoring of surface water areas of nine plateau lakes in Yunnan Province using long time-series Landsat imagery based on the Google Earth Engine …

L Lu, H Sun - Geocarto International, 2023 - Taylor & Francis
Lakes are sensitive to both climate change and human activities, especially in the Yungui
Plateau zone. As the main supply of water sources, surface water has a significant impact on …

Assessing the Catastrophic Environmental Impacts on Dam Breach Using Remote Sensing and Google Earth Engine

RM Abou Samra, RR Ali, B Halder… - Water Resources …, 2024 - Springer
Despite its crucial role in flood defense for downstream regions, the catastrophic breach of
the Kakhovka Dam on June 6, 2023, along the Dnipro River in Ukraine caused extensive …

[HTML][HTML] Flood mapping, damage assessment, and susceptibility zonation in northeastern Bangladesh in 2022 using geospatial datasets

M Rahman, M Kamruzzaman, L Deb… - Progress in Disaster …, 2024 - Elsevier
This study assesses flood inundation, impacts, and susceptibility zones in northeastern
Bangladesh during the 2022 flood. The region is highly vulnerable to recurrent flooding Due …

Watershed prioritization of Kailali district through morphometric parameters and landuse/landcover datasets using GIS

S Ojha, L Puri, SP Bist, AP Bastola, B Acharya - Heliyon, 2023 - cell.com
Watershed prioritization is considered an important tool for soil and watershed management.
This study focuses on the watershed prioritization of the Kailali district in terms of soil …

Crop classification in Google Earth Engine: leveraging Sentinel-1, Sentinel-2, European CAP data, and object-based machine-learning approaches

M Vizzari, G Lesti, S Acharki - Geo-spatial Information Science, 2024 - Taylor & Francis
In contemporary agriculture and environmental management, the need for precise and
accurate crop maps has never been more vital. Although object-based (OB) methods within …