[HTML][HTML] BiAU-Net: Wildfire burnt area mapping using bi-temporal Sentinel-2 imagery and U-Net with attention mechanism
The fusion of remote sensing and artificial intelligence, particularly deep learning, offers
substantial opportunities for developing innovative methods in rapid disaster mapping and …
substantial opportunities for developing innovative methods in rapid disaster mapping and …
[HTML][HTML] Assessing Sentinel-2, Sentinel-1, and ALOS-2 PALSAR-2 Data for Large-Scale Wildfire-Burned Area Mapping: Insights from the 2017–2019 Canada Wildfires
Wildfires play a crucial role in the transformation of forest ecosystems and exert a significant
influence on the global climate over geological timescales. Recent shifts in climate patterns …
influence on the global climate over geological timescales. Recent shifts in climate patterns …
Active Fire Segmentation: A Transfer Learning Study From Landsat-8 to Sentinel-2
AM Fusioka, GH de Almeida Pereira… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Active fire segmentation through satellite imagery is fundamental to prevention and damage
prediction. Algorithms to address this problem usually rely on sensor-specific thresholds …
prediction. Algorithms to address this problem usually rely on sensor-specific thresholds …
A Remote Sensing Spectral Index Guided Bitemporal Residual Attention Network for Wildfire Burn Severity Mapping
Wildfires cause substantial damage and present considerable risks to both natural
ecosystem and human societies. A precise and prompt evaluation of wildfire-induced …
ecosystem and human societies. A precise and prompt evaluation of wildfire-induced …
Unsupervised Geospatial Domain Adaptation for Large-Scale Wildfire Burned Area Mapping Using Sentinel-2 MSI and Sentinel-1 SAR Data
Satellite remote sensing provides a cost-effective way for monitoring wildfires on a large
scale, and the continuous observations and measurements have made remote sensing a …
scale, and the continuous observations and measurements have made remote sensing a …
Real Time Monitoring of Forest Fires and Wildfire Spread Prediction
A Subramaniam, AS Rao, A Vajrapu… - … on Applied Artificial …, 2023 - ieeexplore.ieee.org
Real Time Monitoring of forest fires involves the use of technology, such as satellites and
sensors, to detect and track the location and spread of forest fires in near real-time. This …
sensors, to detect and track the location and spread of forest fires in near real-time. This …
Flood Assessment and Mapping Based on SAR and QUAV Vertical Remote Sensing Framework: A Case Study of 2022 Australia Moama Floods
In 2022, flooding severely violated Australia, resulting in the displacement of residents and
damage to property and public facilities. With the rapid development of information …
damage to property and public facilities. With the rapid development of information …
[PDF][PDF] Data Annotation Report
Executive Summary Task 3.5 (M8-M20) aims to investigate various benchmark datasets that
are freely available to obtain sufficient labelled data to train Deep Learning (DL) models …
are freely available to obtain sufficient labelled data to train Deep Learning (DL) models …
Wildfire and Smoke Detection Using YOLO-NAS
S Maillard, MS Khan, A Cramer… - 2024 IEEE 3rd …, 2024 - ieeexplore.ieee.org
Wildfires pose a persistent threat to the environment, human lives, and property globally,
necessitating effective early detection for firefighting, environmental protection, and public …
necessitating effective early detection for firefighting, environmental protection, and public …