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In recent years, wildfires have posed a significant challenge due to their increasing frequency and severity. For this reason, accurate delineation of burned areas is crucial for environmental monitoring and post-fire assessment. However,…

Computer Vision and Pattern Recognition · Computer Science 2023-09-18 Edoardo Arnaudo , Luca Barco , Matteo Merlo , Claudio Rossi

Scattered trees outside of dense, closed-canopy forests are very important for carbon sequestration, supporting livelihoods, maintaining ecosystem integrity, and climate change adaptation and mitigation. In contrast to trees inside of…

Computer Vision and Pattern Recognition · Computer Science 2021-02-03 John Brandt , Fred Stolle

Accurate information on the distribution of vegetation species is used as a proxy for the health of an ecosystem, a currency of international environmental treaties, and a necessary planning tool for forest preservation and rehabilitation,…

Methodology · Statistics 2023-09-20 Henry Scharf , Jonathan Schierbaum , Hana Matsumoto , Tim Assal

Assessing the environmental impact of the mineral extraction industry plays a critical role in understanding and mitigating the ecological consequences of extractive activities. This paper presents MineSegSAT, a model that presents a novel…

Computer Vision and Pattern Recognition · Computer Science 2023-11-06 Ezra MacDonald , Derek Jacoby , Yvonne Coady

The global phenomenon of forest degradation is a pressing issue with severe implications for climate stability and biodiversity protection. In this work we generate Bayesian updating deforestation detection (BUDD) algorithms by…

Forest monitoring and education are key to forest protection, education and management, which is an effective way to measure the progress of a country's forest and climate commitments. Due to the lack of a large-scale wild forest monitoring…

Graphics · Computer Science 2024-02-19 Yawen Lu , Yunhan Huang , Su Sun , Tansi Zhang , Xuewen Zhang , Songlin Fei , Yingjie Chen

The ability to map challenging subarctic environments opens new horizons for robotic deployments in industries such as forestry, surveillance, and open-pit mining. In this paper, we explore possibilities of large-scale lidar mapping in a…

The Amazon rainforest is considered one of the core tipping elements in the climate system with a potential tipping point from rainforest to savannah between 2 and 6 {\deg}C of global warming. However, ongoing deforestation constitutes an…

Atmospheric and Oceanic Physics · Physics 2026-05-01 Jonathan Krönke , Arie Staal , Jonathan F. Donges , Johan Rockström , Nico Wunderling

Accurate estimates of Above Ground Biomass (AGB) are essential in addressing two of humanity's biggest challenges: climate change and biodiversity loss. Existing datasets for AGB estimation from satellite imagery are limited. Either they…

Computer Vision and Pattern Recognition · Computer Science 2025-04-08 Ghjulia Sialelli , Torben Peters , Jan D. Wegner , Konrad Schindler

This contribution provides a strategy for studying and modelling the deforestation and soil deterioration in the natural forest reserve of Peten, Guatemala, using a poor spatial database. A Multispectral Image Processing of Spot and TM…

Applications · Statistics 2009-04-03 Roberto Bruno , Marco Follador , Martin Paegelow , Fernanda Renno , Nathalie Villa

In Canada's northern regions, linear disturbances such as roads, seismic exploration lines, and pipelines pose a significant threat to the boreal woodland caribou population (Rangifer tarandus). To address the critical need for management…

Computer Vision and Pattern Recognition · Computer Science 2024-09-20 Andrew M. Nagel , Anne Webster , Christopher Henry , Christopher Storie , Ignacio San-Miguel Sanchez , Olivier Tsui , Jason Duffe , Andy Dean

Illegal gold mining in the Amazon rainforest causes deforestation, water contamination, and long-term ecosystem disruption, yet remains difficult to monitor at fine spatial scales. Satellite imagery supports large-scale observation, but…

Vegetation is the natural linkage connecting soil, atmosphere and water. It can represent the change of land cover to a certain extent and serve as an indicator for global change research. Methods for measuring coverage can be divided into…

Image and Video Processing · Electrical Eng. & Systems 2019-09-11 Chunxue Wu , Bobo Ju , Naixue Xiong , Guisong Yang , Yan Wu , Hongming Yang , Jiaying Huang , Zhiyong Xu

Rainforests play an important role in the global ecosystem. However, significant regions of them are facing deforestation and degradation due to several reasons. Diverse government and private initiatives were created to monitor and alert…

Computer Vision and Pattern Recognition · Computer Science 2022-08-25 Fernanda B. J. R. Dallaqua , Álvaro Luiz Fazenda , Fabio A. Faria

Developing accurate and reliable models for forest types mapping is critical to support efforts for halting deforestation and for biodiversity conservation (such as European Union Deforestation Regulation (EUDR)). This work introduces…

Computer Vision and Pattern Recognition · Computer Science 2025-05-06 Yuchang Jiang , Maxim Neumann

Characterizing the processes leading to deforestation is critical to the development and implementation of targeted forest conservation and management policies. In this work, we develop a deep learning model called ForestNet to classify the…

Computer Vision and Pattern Recognition · Computer Science 2020-11-12 Jeremy Irvin , Hao Sheng , Neel Ramachandran , Sonja Johnson-Yu , Sharon Zhou , Kyle Story , Rose Rustowicz , Cooper Elsworth , Kemen Austin , Andrew Y. Ng

Global climate change has had a drastic impact on our environment. Previous study showed that pest disaster occured from global climate change may cause a tremendous number of trees died and they inevitably became a factor of forest fire.…

Computer Vision and Pattern Recognition · Computer Science 2020-10-19 Chia-Yen Chiang , Chloe Barnes , Plamen Angelov , Richard Jiang

Quantifying forest aboveground biomass (AGB) is crucial for informing decisions and policies that will protect the planet. Machine learning (ML) and remote sensing (RS) techniques have been used to do this task more effectively, yet there…

Machine Learning · Computer Science 2025-10-09 Autumn Nguyen , Sulagna Saha

Global forest cover is critical to the provision of certain ecosystem services. With the advent of the google earth engine cloud platform, fine resolution global land cover mapping task could be accomplished in a matter of days instead of…

Computer Vision and Pattern Recognition · Computer Science 2021-08-10 Qian Shi , Xiaolei Qin , Lingyu Sun , Zitao Shen , Xiaoping Liu , Xiaocong Xu , Jiaxin Tian , Rong Liu , Andrea Marinoni

Forest plays a vital role in reducing greenhouse gas emissions and mitigating climate change besides maintaining the world's biodiversity. The existing satellite-based forest monitoring system utilizes supervised learning approaches that…

Computer Vision and Pattern Recognition · Computer Science 2022-08-03 Gokul P , Ujjwal Verma