A new approach based on tensorflow deep neural networks with adam optimizer and gis for spatial prediction of forest fire danger in tropical areas
TX Truong, VH Nhu, DTN Phuong, LT Nghi, NN Hung… - Remote Sensing, 2023 - mdpi.com
Frequent forest fires are causing severe harm to the natural environment, such as
decreasing air quality and threatening different species; therefore, develo** accurate …
decreasing air quality and threatening different species; therefore, develo** accurate …
[HTML][HTML] Integrating geospatial, remote sensing, and machine learning for climate-induced forest fire susceptibility map** in Similipal Tiger Reserve, India
Accurately assessing forest fire susceptibility (FFS) in the Similipal Tiger Reserve (STR) is
essential for biodiversity conservation, climate change mitigation, and community safety …
essential for biodiversity conservation, climate change mitigation, and community safety …
Coupling machine and deep learning with explainable artificial intelligence for improving prediction of groundwater quality and decision-making in Arid Region, Saudi …
Recently, machine learning (ML) and deep learning (DL) models based on artificial
intelligence (AI) have emerged as fast and reliable tools for predicting water quality index …
intelligence (AI) have emerged as fast and reliable tools for predicting water quality index …
[HTML][HTML] Status, advancements and prospects of deep learning methods applied in forest studies
Deep learning, which has exhibited considerable potential and effectiveness in forest
resource assessment, is vital for comprehending and managing forest resources and …
resource assessment, is vital for comprehending and managing forest resources and …
[HTML][HTML] Data driven forest fire susceptibility map** in Bangladesh
Forests are essential natural resources that serve to facilitate economic activity while also
providing an essential impact on climate regulation and the carbon cycle. In the Chittagong …
providing an essential impact on climate regulation and the carbon cycle. In the Chittagong …
Improving Landslide Susceptibility Prediction in Uttarakhand through Hyper-Tuned Artificial Intelligence and Global Sensitivity Analysis
Landslides are constantly increasing in the Himalayan region due to strong tectonic
activities, soil erosion, heavy rainfall, and anthropogenic activities. Despite the severe …
activities, soil erosion, heavy rainfall, and anthropogenic activities. Despite the severe …
Improving the prediction of wildfire susceptibility on Hawaiʻi Island, Hawaiʻi, using explainable hybrid machine learning models
This study presents a comparative analysis of four Machine Learning (ML) models used to
map wildfire susceptibility on Hawaiʻi Island, Hawaiʻi. Extreme Gradient Boosting …
map wildfire susceptibility on Hawaiʻi Island, Hawaiʻi. Extreme Gradient Boosting …
Spatial analysis and machine learning prediction of forest fire susceptibility: a comprehensive approach for effective management and mitigation
M Mishra, R Guria, B Baraj, AP Nanda… - Science of The Total …, 2024 - Elsevier
Forest fires (FF) in tropical seasonal forests impact ecosystem. Addressing FF in tropical
ecosystems has become a priority to mitigate impacts on biodiversity loss and climate …
ecosystems has become a priority to mitigate impacts on biodiversity loss and climate …
Integrating ensemble machine learning and explainable AI for enhanced forest fire susceptibility analysis and risk assessment in Türkiye's Mediterranean region
H Tonbul - Earth Science Informatics, 2024 - Springer
Forest fires pose a serious risk to ecosystems in the Mediterranean region; thus, 2021 fires
in the Mediterranean region of Türkiye emphasize the requirement for accurate and …
in the Mediterranean region of Türkiye emphasize the requirement for accurate and …
Spatiotemporal assessment of the nexus between urban sprawl and land surface temperature as microclimatic effect: implications for urban planning
Rapid urbanisation has led to significant environmental and climatic changes worldwide,
especially in urban heat islands where increased land surface temperature (LST) poses a …
especially in urban heat islands where increased land surface temperature (LST) poses a …