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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…

In this paper, we present a deforestation estimation method based on attention guided UNet architecture using Electro-Optical (EO) and Synthetic Aperture Radar (SAR) satellite imagery. For optical images, Landsat-8 and for SAR imagery,…

Computer Vision and Pattern Recognition · Computer Science 2023-07-11 Sunita Arya , S Manthira Moorthi , Debajyoti Dhar

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

Forests are vital for the wellbeing of our planet. Large and small scale deforestation across the globe is threatening the stability of our climate, forest biodiversity, and therefore the preservation of fragile ecosystems and our natural…

Methodology · Statistics 2022-05-25 Johannes N. Hansen , Edward T. A. Mitchard , Stuart King

Current optical vegetation indices (VIs) for monitoring forest ecosystems are well established and widely used in various applications, but can be limited by atmospheric effects such as clouds. In contrast, synthetic aperture radar (SAR)…

Machine Learning · Statistics 2025-02-27 Daniel Paluba , Bertrand Le Saux , Přemysl Stych

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,…

Computer Vision and Pattern Recognition · Computer Science 2024-04-04 Eduardo Neto , Fabio A. Faria , Amanda A. S. de Oliveira , Álvaro L. Fazenda

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

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

Deforestation is gaining an increasingly importance due to its strong influence on the sorrounding environment, especially in developing countries where population has a disadvantaged economic condition and agriculture is the main source of…

Computer Vision and Pattern Recognition · Computer Science 2025-09-25 Gabriele Sartor , Matteo Salis , Stefano Pinardi , Ozgur Saracik , Rosa Meo

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

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

Tropical forests play an important role in regulating the global carbon cycle and are crucial for maintaining the tropical forest biodiversity. Therefore, there is an urgent need to map the extent of tropical forest ecosystems. Recently,…

Image and Video Processing · Electrical Eng. & Systems 2024-08-05 Adugna Mullissa , Sassan Saatchi

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

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

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

Accurate forest canopy height estimation is essential for evaluating aboveground biomass and carbon stock dynamics, supporting ecosystem monitoring services like timber provisioning, climate change mitigation, and biodiversity conservation.…

Computer Vision and Pattern Recognition · Computer Science 2024-10-25 Jose B. Castro , Cheryl Rogers , Camile Sothe , Dominic Cyr , Alemu Gonsamo

Accurate mapping of forests is critical for forest management and carbon stocks monitoring. Deep learning is becoming more popular in Earth Observation (EO), however, the availability of reference data limits its potential in wide-area…

Signal Processing · Electrical Eng. & Systems 2023-08-09 Shaojia Ge , Hong Gu , Weimin Su , Anne Lönnqvist , Oleg Antropov

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

Monitoring and managing Earth's forests in an informed manner is an important requirement for addressing challenges like biodiversity loss and climate change. While traditional in situ or aerial campaigns for forest assessments provide…

Computer Vision and Pattern Recognition · Computer Science 2022-12-13 Alexander Becker , Stefania Russo , Stefano Puliti , Nico Lang , Konrad Schindler , Jan Dirk Wegner
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