Building Data Sets for Rainforest Deforestation Detection Through a Citizen Science Project
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DOI: 10.1109/lgrs.2020.3032098
Abstract: Originally, the ForestEyes project aims to detect deforestation in tropical forests based on citizen science (CS) and machine learning (ML) approaches, in which the volunteers analyze and label segments of remote sensing images to build… read more here.
Keywords: project; deforestation; deforestation detection; citizen science ... See more keywords
Domain-Adversarial Neural Networks for Deforestation Detection in Tropical Forests
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DOI: 10.1109/lgrs.2022.3163575
Abstract: Many deep-learning (DL)-based, domain adaptation (DA) methods for remote sensing (RS) applications rely on adversarial training strategies to align features extracted from images of different domains in a shared latent space. However, the performance of… read more here.
Keywords: class; domain adversarial; detection; deforestation ... See more keywords
Fusing Sentinel-1 and Sentinel-2 Images for Deforestation Detection in the Brazilian Amazon Under Diverse Cloud Conditions
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3242430
Abstract: Most of the current deforestation detection systems rely on cloud-free optical images, which are difficult to obtain in tropical regions. A synthetic aperture radar (SAR) is nearly unaffected by clouds, thus providing valuable insights for… read more here.
Keywords: fusion; sentinel; deforestation; deforestation detection ... See more keywords