[HTML][HTML] What is going on within google earth engine? A systematic review and meta-analysis

P Pérez-Cutillas, A Pérez-Navarro… - … Society and environment, 2023 - Elsevier
Abstract Google Earth Engine (GEE) is a geospatial processing platform based on geo-
information applications in the 'cloud'. This platform provides free access to huge volumes of …

[HTML][HTML] Artificial intelligence in environmental monitoring: Advancements, challenges, and future directions

DB Olawade, OZ Wada, AO Ige, BI Egbewole… - Hygiene and …, 2024 - Elsevier
Abstract The application of Artificial Intelligence (AI) in environmental monitoring offers
accurate disaster forecasts, pollution source detection, and comprehensive air and water …

Determining the suitable settlement areas in Alanya with GIS-based site selection analyses

S Dogan, C Kilicoglu, H Akinci, H Sevik… - … science and pollution …, 2023 - Springer
Urbanization, which is defined as an irreversible global-scale problem nowadays,
necessitates the foundation of new settlement areas. In general, no sufficient scientific …

Landslide susceptibility mapping in Three Gorges Reservoir area based on GIS and boosting decision tree model

F Miao, F Zhao, Y Wu, L Li, Á Török - Stochastic Environmental Research …, 2023 - Springer
As one of the most destructive geological disasters, a myriad of landslides has revived and
developed in the Three Gorges Reservoir area under the combined action of various …

Machine learning based forest fire susceptibility assessment of Manavgat district (Antalya), Turkey

HA Akıncı, H Akıncı - Earth Science Informatics, 2023 - Springer
This study primarily aims to produce forest fire susceptibility maps for the Manavgat district of
Antalya province in Turkey using different machine learning (ML) techniques. Forest fire …

[HTML][HTML] Integrating geospatial, remote sensing, and machine learning for climate-induced forest fire susceptibility mapping in Similipal Tiger Reserve, India

C Singha, KC Swain, A Moghimi, F Foroughnia… - Forest Ecology and …, 2024 - Elsevier
Accurately assessing forest fire susceptibility (FFS) in the Similipal Tiger Reserve (STR) is
essential for biodiversity conservation, climate change mitigation, and community safety …

Predictive model of spatial scale of forest fire driving factors: a case study of Yunnan Province, China

W Li, Q Xu, J Yi, J Liu - Scientific reports, 2022 - nature.com
Forest fires are among the major natural disasters that destroy the balance of forest
ecosystems. The construction of a forest fire prediction model to investigate the driving …

Artificial neural networks for assessing forest fire susceptibility in Türkiye

O Kantarcioglu, S Kocaman, K Schindler - Ecological Informatics, 2023 - Elsevier
Wildfires often threaten natural and economic resources and human lives. Wildfire
susceptibility assessments have become essential for efficient disaster management and …

Development of novel optimized deep learning algorithms for wildfire modeling: A case study of Maui, Hawai 'i

F Rezaie, M Panahi, SM Bateni, S Lee, C Jun… - … Applications of Artificial …, 2023 - Elsevier
To address the growing global concern regarding increased wildfire occurrences and their
widespread socio-ecological impacts, cost-effective and practical approaches must be …

Enhancing predictive ability of optimized group method of data handling (GMDH) method for wildfire susceptibility mapping

TTK Tran, SM Bateni, F Rezaie, M Panahi, C Jun… - Agricultural and Forest …, 2023 - Elsevier
Wildfire is one of the most significant environmental challenges and causing damage to
ecosystems, habitats, infrastructure and especially human lives. Thus, spatial assessment of …