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CFNet: A cross fusion network for joint land cover classification using optical and SAR images
W Kang, Y ** using multispectral sentinel-2 and hyperspectral PRISMA …
ST Seydi, M Hasanlou, J Chanussot - Remote Sensing, 2021 - mdpi.com
Wildfires are one of the most destructive natural disasters that can affect our environment,
with significant effects also on wildlife. Recently, climate change and human activities have …
with significant effects also on wildlife. Recently, climate change and human activities have …
Monthly burned-area map** using multi-sensor integration of Sentinel-1 and Sentinel-2 and machine learning: Case study of 2019's fire events in South Sumatra …
Indonesia has experienced massive historical land and forest fire events, creating
transnational environmental and socioeconomic issues. The extent of burned areas (BAs) is …
transnational environmental and socioeconomic issues. The extent of burned areas (BAs) is …
[HTML][HTML] A hybrid convolutional neural network and random forest for burned area identification with optical and synthetic aperture radar (SAR) data
Forest and land fires are disasters that greatly impact various sectors. Burned area
identification is needed to control forest and land fires. Remote sensing is used as common …
identification is needed to control forest and land fires. Remote sensing is used as common …
[HTML][HTML] Image texture analysis enhances classification of fire extent and severity using Sentinel 1 and 2 satellite imagery
Accurate and reliable map** of fire extent and severity is critical for assessing the impact
of fire on vegetation and informing post-fire recovery trajectories. Classification approaches …
of fire on vegetation and informing post-fire recovery trajectories. Classification approaches …
A novel deep Siamese framework for burned area map** Leveraging mixture of experts
ST Seydi, M Hasanlou, J Chanussot - Engineering Applications of Artificial …, 2024 - Elsevier
Due to the complexity of the areas and the diversity of the objects, traditional Burned Area
Map** (BAM) methods cannot provide promising results. Moreover, these methods focus …
Map** (BAM) methods cannot provide promising results. Moreover, these methods focus …
Integrated approach for the assessment of forest fire risk and burn severity map** using GIS, AHP method, and Google Earth Engine in Western Algeria
Y Fekir, MA Hamadouche, D Anteur - Euro-Mediterranean Journal for …, 2022 - Springer
In Algeria, more than 29% of the forest heritage is located in the western part where forest
fires remain the most devastating factor. The assessment of the Forest Fire Risk (FFR) and …
fires remain the most devastating factor. The assessment of the Forest Fire Risk (FFR) and …
[PDF][PDF] Detection of forest fire damage from Sentinel-1 SAR data through the synergistic use of principal component analysis and K-means clustering
Forest fire poses a significant threat to the environment and society, affecting carbon cycle
and surface energy balance, and resulting in socioeconomic losses. Widely used multi …
and surface energy balance, and resulting in socioeconomic losses. Widely used multi …
[HTML][HTML] Forest/Nonforest Segmentation Using Sentinel-1 and-2 Data Fusion in the Bajo Cauca Subregion in Colombia
A Guisao-Betancur, L Gómez Déniz… - Remote Sensing, 2023 - mdpi.com
Remote sensing technologies have been successfully used for deforestation monitoring,
and with the wide availability of satellite products from different platforms, forest monitoring …
and with the wide availability of satellite products from different platforms, forest monitoring …
Burned area detection using convolutional neural network based on spatial information of synthetic aperture radar data in Indonesia
Forest and land fires are disasters that often occur in Indonesia which affects neighbouring
countries. The burned area can be observed using remote sensing. Synthetic aperture radar …
countries. The burned area can be observed using remote sensing. Synthetic aperture radar …