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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 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

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

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

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 Multimodal Learning for Earth and Environment Challenge (MultiEarth 2022) will be the first competition aimed at the monitoring and analysis of deforestation in the Amazon rainforest at any time and in any weather conditions. The goal…

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

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

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

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

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

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

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

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…

Forest carbon offsets are increasingly popular and can play a significant role in financing climate mitigation, forest conservation, and reforestation. Measuring how much carbon is stored in forests is, however, still largely done via…

Computer Vision and Pattern Recognition · Computer Science 2021-08-20 Gyri Reiersen , David Dao , Björn Lütjens , Konstantin Klemmer , Xiaoxiang Zhu , Ce Zhang

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

Earth observation satellites have been continuously monitoring the earth environment for years at different locations and spectral bands with different modalities. Due to complex satellite sensing conditions (e.g., weather, cloud,…

Computer Vision and Pattern Recognition · Computer Science 2022-06-22 Bo Peng , Hongchen Liu , Hang Zhou , Yuchuan Gou , Jui-Hsin Lai

Accurate forest height estimation is crucial for climate change monitoring and carbon cycle assessment. Synthetic Aperture Radar (SAR), particularly in multi-channel configurations, has provided support for a long time in 3D forest…

Computer Vision and Pattern Recognition · Computer Science 2025-07-29 Francesca Razzano , Wenyu Yang , Sergio Vitale , Giampaolo Ferraioli , Silvia Liberata Ullo , Gilda Schirinzi

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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