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Conserving tropical forests is highly relevant socially and ecologically because of their critical role in the global ecosystem. However, the ongoing deforestation and degradation affect millions of hectares each year, necessitating…

Computer Vision and Pattern Recognition · Computer Science 2024-08-23 Hugo Resende , Eduardo B. Neto , Fabio A. M. Cappabianco , Alvaro L. Fazenda , Fabio A. Faria

Tropical forests play an essential role in the planet's ecosystem, making the conservation of these biomes a worldwide priority. However, ongoing deforestation and degradation pose a significant threat to their existence, necessitating…

Computer Vision and Pattern Recognition · Computer Science 2025-01-14 Hugo Resende , Isabela Borlido , Victor Sundermann , Eduardo B. Neto , Silvio Jamil F. Guimarães , Fabio Faria , Alvaro Luiz Fazenda

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

Concerns regarding the impacts of climate change on marginalised communities in the Global South have led to calls for affected communities to be more active as agents in the process of planning for climate change. While the value of…

Computers and Society · Computer Science 2021-12-20 Erich Wolff , Matthew French , Noor Ilhamsyah , Mere Jane Sawailau , Diego Ramirez-Lovering

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

Crowdsourcing methods facilitate the production of scientific information by non-experts. This form of citizen science (CS) is becoming a key source of complementary data in many fields to inform data-driven decisions and study challenging…

Ecosystems monitoring is essential to properly understand their development and the effects of events, both climatological and anthropological in nature. The amount of data used in these assessments is increasing at very high rates. This is…

Networking and Internet Architecture · Computer Science 2011-07-01 Gilberto Z. Pastorello , G. Arturo Sanchez-Azofeifa , Mario A. Nascimento

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

Forests play a crucial role in Earth's system processes and provide a suite of social and economic ecosystem services, but are significantly impacted by human activities, leading to a pronounced disruption of the equilibrium within…

Computer Vision and Pattern Recognition · Computer Science 2024-11-01 Arthur Ouaknine , Teja Kattenborn , Etienne Laliberté , David Rolnick

Afforestation and reforestation are popular strategies for mitigating climate change by enhancing carbon sequestration. However, the effectiveness of these efforts is often self-reported by project developers, or certified through processes…

Machine Learning · Computer Science 2025-08-18 Angela John , Selvyn Allotey , Till Koebe , Alexandra Tyukavina , Ingmar Weber

Large-scale research endeavors can be hindered by logistical constraints limiting the amount of available data. For example, global ecological questions require a global dataset, and traditional sampling protocols are often too inefficient…

Image segmentation is a crucial step in various visual applications, including environmental monitoring through remote sensing. In the context of the ForestEyes project, which combines citizen science and machine learning to detect…

Computer Vision and Pattern Recognition · Computer Science 2025-10-07 Hugo Resende , Fabio A. Faria , Eduardo B. Neto , Isabela Borlido , Victor Sundermann , Silvio Jamil F. Guimarães , Álvaro L. Fazenda

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

Forests offer essential resources and services to humanity, yet preserving and restoring them presents challenges, particularly due to the limited availability of actionable data, especially in hard-to-reach areas like forest canopies.…

Robotics · Computer Science 2024-10-31 Luca Romanello , Tian Lan , Mirko Kovac , Sophie F. Armanini , Basaran Bahadir Kocer

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 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 Multimodal Learning for Earth and Environment Workshop (MultiEarth 2023) is the second annual CVPR workshop aimed at the monitoring and analysis of the health of Earth ecosystems by leveraging the vast amount of remote sensing data that…

Computer Vision and Pattern Recognition · Computer Science 2023-06-09 Miriam Cha , Gregory Angelides , Mark Hamilton , Andy Soszynski , Brandon Swenson , Nathaniel Maidel , Phillip Isola , Taylor Perron , Bill Freeman

Detecting missing persons in forest environments remains a challenge, as dense canopy cover often conceals individuals from detection in top-down or oblique aerial imagery typically captured by Unmanned Aerial Vehicles (UAVs). While UAVs…

Computer Vision and Pattern Recognition · Computer Science 2026-03-04 Deokyun Kim , Jeongjun Lee , Jungwon Choi , Jonggeon Park , Giyoung Lee , Yookyung Kim , Myungseok Ki , Juho Lee , Jihun Cha

Forest biomass is a key influence for future climate, and the world urgently needs highly scalable financing schemes, such as carbon offsetting certifications, to protect and restore forests. Current manual forest carbon stock inventory…

Computer Vision and Pattern Recognition · Computer Science 2024-11-28 Gyri Reiersen , David Dao , Björn Lütjens , Konstantin Klemmer , Kenza Amara , Attila Steinegger , Ce Zhang , Xiaoxiang Zhu
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