[HTML][HTML] TransU-Net++: Rethinking attention gated TransU-Net for deforestation mapping
Deforestation has become a major cause of climate change, and as a result, both
characterizing the drivers and estimating segmentation maps of deforestation have piqued …
characterizing the drivers and estimating segmentation maps of deforestation have piqued …
[HTML][HTML] FCD-AttResU-Net: An improved forest change detection in Sentinel-2 satellite images using attention residual U-Net
Abstract Forest Change Detection (FCD) is a critical component of natural resource
monitoring and conservation strategies, enabling informed decision-making. Various …
monitoring and conservation strategies, enabling informed decision-making. Various …
Spatial-temporal mapping of forest vegetation cover changes along highways in Brunei using deep learning techniques and Sentinel-2 images
Infrastructure development is a leading driver of forest cover loss in the tropics, resulting in a
significant decrease in biodiversity. With recent advancements in digital image processing …
significant decrease in biodiversity. With recent advancements in digital image processing …
Monitoring deforestation in Jordan using deep semantic segmentation with satellite imagery
A Alzu'bi, L Alsmadi - Ecological Informatics, 2022 - Elsevier
Jordan is witnessing major transformations in its environmental and topographic features,
where the desert dominates a large part of the territory, with very limited forest areas. Over …
where the desert dominates a large part of the territory, with very limited forest areas. Over …
Denseppmunet-a: A robust deep learning network for segmenting water bodies from aerial images
D Xiang, X Zhang, W Wu, H Liu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The identification of water bodies from aerial images using semantic segmentation networks
can provide accurate information for ecological monitoring, flood prevention, and disaster …
can provide accurate information for ecological monitoring, flood prevention, and disaster …
Deforestation detection using a spatio-temporal deep learning approach with synthetic aperture radar and multispectral images
Deforestation is a global change driver that contributes to atmospheric carbon emissions,
causes biodiversity loss and ecosystem services degradation. Usually, this process has …
causes biodiversity loss and ecosystem services degradation. Usually, this process has …
The accuracy of winter wheat identification at different growth stages using remote sensing
The aim of this study was to explore the differences in the accuracy of winter wheat
identification using remote sensing data at different growth stages using the same methods …
identification using remote sensing data at different growth stages using the same methods …
[HTML][HTML] Remote sensing image segmentation of gully erosion in a typical black soil area in Northeast China based on improved DeepLabV3+ model
X Zhang, S Zhang, X Meng, G Zhang, D Zang… - Ecological …, 2024 - Elsevier
Gully erosion, a cause of soil degradation and reduced crop yields is widespread in the
diffuse river and hillock regions of Northeast China. The surface conditions in gully erosion …
diffuse river and hillock regions of Northeast China. The surface conditions in gully erosion …
Roadless areas in Brazil: land cover, land use, and conservation status
Roadless areas (RLAs) are places with little to no influence of roads, usually sustaining well-
preserved habitats, whereas road-effects zones (REZs) are areas affected by roads. Here …
preserved habitats, whereas road-effects zones (REZs) are areas affected by roads. Here …
Remote sensing for detecting freshly manured fields
The application of manure on fields during the rainy season can pollute the environment by
leaching nitrates into nearby bodies of water. To reduce and prevent this problem, closed …
leaching nitrates into nearby bodies of water. To reduce and prevent this problem, closed …