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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

Understanding land use over time is critical to tracking events related to climate change, like deforestation. However, satellite-based remote sensing tools which are used for monitoring struggle to differentiate vegetation types in farms…

Image and Video Processing · Electrical Eng. & Systems 2025-02-27 Angela Busheska , Vikram Iyer , Bruno Silva , Peder Olsen , Ranveer Chandra , Vaishnavi Ranganathan

Earth's forests play an important role in the fight against climate change, and are in turn negatively affected by it. Effective monitoring of different tree species is essential to understanding and improving the health and biodiversity of…

Computer Vision and Pattern Recognition · Computer Science 2025-07-30 Venkatesh Ramesh , Arthur Ouaknine , David Rolnick

The wealth of data being gathered about humans and their surroundings drives new machine learning applications in various fields. Consequently, more and more often, classifiers are trained using not only numerical data but also complex data…

Machine Learning · Computer Science 2022-04-13 Maciej Piernik , Dariusz Brzezinski , Pawel Zawadzki

Covering one third of Earth's land surface, forests are vital to global biodiversity, climate regulation, and human well-being. In Europe, forests and woodlands reach approximately 40% of land area, and the forestry sector is central to…

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…

Healthy urban forests comprising of diverse trees and shrubs play a crucial role in mitigating climate change. They provide several key advantages such as providing shade for energy conservation, and intercepting rainfall to reduce flood…

Computer Vision and Pattern Recognition · Computer Science 2025-04-22 Akshit Gupta , Remko Uijlenhoet

Several generic methods have recently been developed for change detection in heterogeneous remote sensing data, such as images from synthetic aperture radar (SAR) and multispectral radiometers. However, these are not well suited to detect…

Computer Vision and Pattern Recognition · Computer Science 2023-03-14 Jørgen A. Agersborg , Luigi T. Luppino , Stian Normann Anfinsen , Jane Uhd Jepsen

Fine-grained wildfire spread prediction is crucial for enhancing emergency response efficacy and decision-making precision. However, existing research predominantly focuses on coarse spatiotemporal scales and relies on low-resolution…

Computer Vision and Pattern Recognition · Computer Science 2025-12-04 Nan Zhou , Huandong Wang , Jiahao Li , Han Li , Yali Song , Qiuhua Wang , Yong Li , Xinlei Chen

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

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

Savannahs are vital ecosystems whose sustainability is endangered by the spread of woody plants. This research targets the accurate mapping of fractional woody cover (FWC) at the species level in a South African savannah, using EnMAP…

Urban vegetation monitoring plays a vital role in understanding environmental changes, yet comprehensive datasets for this purpose remain limited. To address this gap, we present the Temporal Remote-sensing Repository for Analyzing Change…

Computer Vision and Pattern Recognition · Computer Science 2026-05-15 Omkar Oak , Rukmini Nazre , Rujuta Budke , Suraj Sawant

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

Forest structural complexity metrics integrate multiple canopy attributes into a single value that reflects habitat quality and ecosystem function. Spaceborne lidar from the Global Ecosystem Dynamics Investigation (GEDI) has enabled mapping…

Computer Vision and Pattern Recognition · Computer Science 2025-10-09 Tiago de Conto , John Armston , Ralph Dubayah

The fine grained classification of street trees is a crucial task for urban planning, streetscape management, and the assessment of urban ecosystem services. However, progress in this field has been hindered by the lack of large scale,…

Computer Vision and Pattern Recognition · Computer Science 2026-04-01 Jiapeng Li , Yingjing Huang , Fan Zhang , Yu liu

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

For many countries like Russia, Canada, or the USA, a robust and detailed tree species inventory is essential to manage their forests sustainably. Since one can not apply unmanned aerial vehicle (UAV) imagery-based approaches to large-scale…

Computer Vision and Pattern Recognition · Computer Science 2021-11-09 Abduragim Shtanchaev , Artur Bille , Olga Sutyrina , Sara Elelimy

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

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