Deep learning approaches for wildland fires using satellite remote sensing data: Detection, mapping, and prediction

R Ghali, MA Akhloufi - Fire, 2023 - mdpi.com
Wildland fires are one of the most dangerous natural risks, causing significant economic
damage and loss of lives worldwide. Every year, millions of hectares are lost, and experts …

Contribution and behavioral assessment of physical and anthropogenic factors for soil erosion using integrated deep learning and game theory

IA Ahmed, S Talukdar, ARMT Islam, M Rihan… - Journal of Cleaner …, 2023 - Elsevier
Ensuring sustainable management of soil erosion is of utmost importance to prevent its
adverse effects. Unfortunately, this issue has received limited attention in the past, therefore …

Applying a 1D convolutional neural network in flood susceptibility assessments—The case of the Island of Euboea, Greece

P Tsangaratos, I Ilia, AA Chrysafi, I Matiatos, W Chen… - Remote Sensing, 2023 - mdpi.com
The main scope of the study is to evaluate the prognostic accuracy of a one-dimensional
convolutional neural network model (1D-CNN), in flood susceptibility assessment, in a …

Prediction of forest fire occurrence in China under climate change scenarios

Y Shao, G Fan, Z Feng, L Sun, X Yang, T Ma… - Journal of Forestry …, 2023 - Springer
Climate change has an impact on forest fire patterns. In the context of global warming, it is
important to study the possible effects of climate change on forest fires, carbon emission …

An ensemble model for forest fire occurrence mapping in China

Y Shao, Z Feng, M Cao, W Wang, L Sun, X Yang, T Ma… - Forests, 2023 - mdpi.com
Assessing and predicting forest fires has long been an arduous task. Nowadays, the rapid
advancement of artificial intelligence and machine learning technologies have provided a …

Spatial and temporal changes in vegetation cover in the three north protection forest project area supported by GEE cloud platform

X Li, Q Hai, Z Zhu, D Zhang, Y Shao, Y Zhao, H Li… - Forests, 2023 - mdpi.com
The alterations in vegetation cover in the Three North Protection Forest Project area
influence its ecological and environmental management. It helps to study soil erosion …

[HTML][HTML] Wildfire risk assessment using deep learning in Guangdong Province, China

W Jiang, Y Qiao, X Zheng, J Zhou, J Jiang… - International Journal of …, 2024 - Elsevier
The severe wildfires that have ravaged Guangdong province, China, present a significant
threat to the local ecosystem, socio-economics, and public health. Effective risk assessment …

Prediction of forest fire occurrence in southwestern China

X Jing, D Zhang, X Li, W Zhang, Z Zhang - Forests, 2023 - mdpi.com
Southwestern China is an area heavily affected by forest fires, having a complex
combination of fire sources and a high degree of human interference. The region is …

Advancing Forest Fire Risk Evaluation: An Integrated Framework for Visualizing Area-Specific Forest Fire Risks Using UAV Imagery, Object Detection and Color …

M Aibin, Y Li, R Sharma, J Ling, J Ye, J Lu, J Zhang… - Drones, 2024 - mdpi.com
Forest fires have significant implications for the Earth's ecological balance, causing
widespread devastation and posing formidable challenges for containment once they …

Utilizing grid data and deep learning for forest fire occurrences and decision support: A case study in the Ningxia Hui autonomous region

Y Shao, Q Zhu, Z Feng, L Sun, P Yue, A Wang… - Forests, 2023 - mdpi.com
In order to investigate the geographical distribution of forest fire occurrences in the Ningxia
Hui Autonomous Region, this study employs advanced modeling techniques, utilizing …