[HTML][HTML] An attention-based U-Net for detecting deforestation within satellite sensor imagery

D John, C Zhang - International Journal of Applied Earth Observation and …, 2022 - Elsevier
In this paper, we implement and analyse an Attention U-Net deep network for semantic
segmentation using Sentinel-2 satellite sensor imagery, for the purpose of detecting …

Semi-FCMNet: Semi-supervised learning for forest cover mapping from satellite imagery via ensemble self-training and perturbation

B Chen, L Wang, X Fan, W Bo, X Yang, T Tjahjadi - Remote Sensing, 2023 - mdpi.com
Forest cover mapping is of paramount importance for environmental monitoring, biodiversity
assessment, and forest resource management. In the realm of forest cover mapping …

Towards the automatic monitoring of deforestation in Brazilian rainforest

L Bragagnolo, RV da Silva, JMV Grzybowski - Ecological Informatics, 2021 - Elsevier
Deforestation is considered one of the main environmental threats to the ecological balance
on the planet. At the same time, monitoring changes in forest cover is a major challenge …

e-TransUNet: TransUNet provides a strong spatial transformation for precise deforestation mapping

A Jamali, SK Roy, B Pradhan - Remote Sensing Applications: Society and …, 2024 - Elsevier
Forest loss significantly contributes to climate change. As a result, scientists aim to
understand its causes and evaluate forest loss classification maps. While Vision …

Land Cover Classification in the Antioquia Region of the Tropical Andes Using NICFI Satellite Data Program Imagery and Semantic Segmentation Techniques

LF Gomez-Ossa, G Sanchez-Torres… - Data, 2023 - mdpi.com
Land cover classification, generated from satellite imagery through semantic segmentation,
has become fundamental for monitoring land use and land cover change (LULCC). The …

[PDF][PDF] Sentinel-2 MSI data for active fire detection in major fire-prone biomes: A multi-criteria approach

X Hu, Y Ban, A Nascetti - International Journal of Applied Earth …, 2021 - lirias.kuleuven.be
ABSTRACT Sentinel-2 MultiSpectral Instrument (MSI) data exhibits the great potential of
enhanced spatial and temporal coverage for monitoring biomass burning which could …

Deep Learning-based Multimodal Fusion of Sentinel-1 and Sentinel-2 Data for Mapping Deforested Areas in the Amazon Rainforest

B Biswas - 2022 - essay.utwente.nl
As deforestation continues to increase rapidly, it is critical to map it reliably and efficiently to
protect tropical rainforests and implement effective containment policies. Furthermore, it …