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The conservation of tropical forests is a current subject of social and ecological relevance due to their crucial role in the global ecosystem. Unfortunately, millions of hectares are deforested and degraded each year. Therefore, government…

Computer Vision and Pattern Recognition · Computer Science 2023-11-20 Eduardo B. Neto , Paulo R. C. Pedro , Alvaro Fazenda , Fabio A. Faria

Deforestation estimation and fire detection in the Amazon forest poses a significant challenge due to the vast size of the area and the limited accessibility. However, these are crucial problems that lead to severe environmental…

Computer Vision and Pattern Recognition · Computer Science 2023-07-12 Gabor Fodor , Marcos V. Conde

It is important problem to accurately estimate deforestation of satellite imagery since this approach can analyse extensive area without direct human access. However, it is not simple problem because of difficulty in observing the clear…

Computer Vision and Pattern Recognition · Computer Science 2023-06-22 Seunghan Park , Dongoo Lee , Yeonju Choi , SungTae Moon

The estimation of deforestation in the Amazon Forest is challenge task because of the vast size of the area and the difficulty of direct human access. However, it is a crucial problem in that deforestation results in serious environmental…

Computer Vision and Pattern Recognition · Computer Science 2022-06-23 Dongoo Lee , Yeonju Choi

The Amazon rain forest is a vital ecosystem that plays a crucial role in regulating the Earth's climate and providing habitat for countless species. Deforestation in the Amazon is a major concern as it has a significant impact on global…

Computer Vision and Pattern Recognition · Computer Science 2025-09-18 Nathalie Neptune , Josiane Mothe

The present work proposes a prototype for an operational method for early deforestation detection of cloudy tropical rainforests. The proposed methodology makes use of Sentinel-1 SAR data processed into the Google Earth Engine platform for…

Applications · Statistics 2020-05-18 Juan Doblas

With its vast expanse, exceeding that of Western Europe by twice, the Amazon rainforest stands as the largest forest of the Earth, holding immense importance in global climate regulation. Yet, deforestation detection from remote sensing…

Computer Vision and Pattern Recognition · Computer Science 2023-10-10 Carla Nascimento Neves , Raul Queiroz Feitosa , Mabel X. Ortega Adarme , Gilson Antonio Giraldi

Global environment monitoring is a task that requires additional attention in the contemporary rapid climate change environment. This includes monitoring the rate of deforestation and areas affected by flooding. Satellite imaging has…

Computer Vision and Pattern Recognition · Computer Science 2022-07-25 Dmytro Filatov , Ghulam Nabi Ahmad Hassan Yar

The preservation of the Amazon Rainforest is one of the global priorities in combating climate change, protecting biodiversity, and safeguarding indigenous cultures. The Satellite-based Monitoring Project of Deforestation in the Brazilian…

Computer Vision and Pattern Recognition · Computer Science 2025-12-10 Christian Massao Konishi , Helio Pedrini

Deforestation detection using satellite images can make an important contribution to forest management. Current approaches can be broadly divided into those that compare two images taken at similar periods of the year and those that monitor…

Applications · Statistics 2017-04-05 Emiliano Diaz

In this paper we develop a deforestation detection pipeline that incorporates optical and Synthetic Aperture Radar (SAR) data. A crucial component of the pipeline is the construction of anomaly maps of the optical data, which is done using…

Acquiring information on large areas on the earth's surface through satellite cameras allows us to see much more than we can see while standing on the ground. This assists us in detecting and monitoring the physical characteristics of an…

Computer Vision and Pattern Recognition · Computer Science 2022-01-07 Aditya Kumar Singh , B. Uma Shankar

This paper proposes a multi-spectral random forest classifier with suitable feature selection and masking for tree cover estimation in urban areas. The key feature of the proposed classifier is filtering out the built-up region using…

Computer Vision and Pattern Recognition · Computer Science 2023-06-12 Usman Nazir , Momin Uppal , Muhammad Tahir , Zubair Khalid

The Amazon rainforests have been suffering widespread damage, both via natural and artificial means. Every minute, it is estimated that the world loses forest cover the size of 48 football fields. Deforestation in the Amazon rainforest has…

Computer Vision and Pattern Recognition · Computer Science 2018-09-05 Somnath Rakshit , Soumyadeep Debnath , Dhiman Mondal

Humans use UAVs to monitor changes in forest environments since they are lightweight and provide a large variety of surveillance data. However, their information does not present enough details for understanding the scene which is needed to…

Computer Vision and Pattern Recognition · Computer Science 2024-03-12 Bianca-Cerasela-Zelia Blaga , Sergiu Nedevschi

The conservation of tropical forests is a topic of significant social and ecological relevance due to their crucial role in the global ecosystem. Unfortunately, deforestation and degradation impact millions of hectares annually, requiring…

Computer Vision and Pattern Recognition · Computer Science 2024-09-09 Isabela Borlido , Eduardo Bouhid , Victor Sundermann , Hugo Resende , Alvaro Luiz Fazenda , Fabio Faria , Silvio Jamil F. Guimarães

Deforestation, as one of the challenging environmental problems in the world, has been recorded the most serious threat to environmental diversity and one of the main components of land-use change. In this paper, we investigate spatial…

Computers and Society · Computer Science 2018-12-27 Vahid Ahmadi

Deforestation has become a significant contributing factor to climate change and, due to this, both classifying the drivers and predicting segmentation maps of deforestation has attracted significant interest. In this work, we develop a…

Computer Vision and Pattern Recognition · Computer Science 2021-12-17 Joshua Mitton , Roderick Murray-Smith

Detection of burn marks due to wildfires in inaccessible rain forests is important for various disaster management and ecological studies. The fragmented nature of arable landscapes and diverse cropping patterns often thwart the precise…

Computer Vision and Pattern Recognition · Computer Science 2023-08-29 Satyam Mohla , Sidharth Mohla , Anupam Guha , Biplab Banerjee

Mapping standing dead trees is critical for assessing forest health, monitoring biodiversity, and mitigating wildfire risks, for which aerial imagery has proven useful. However, dense canopy structures, spectral overlaps between living and…

Computer Vision and Pattern Recognition · Computer Science 2026-05-06 Anis Ur Rahman , Einari Heinaro , Mete Ahishali , Samuli Junttila
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