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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

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

Wetlands constitute critical ecosystems that support both biodiversity and human well-being; however, they have experienced a significant decline since the 20th century. Back in the 1970s, researchers began to employ remote sensing…

Computer Vision and Pattern Recognition · Computer Science 2025-04-22 Shuai Yuan , Xiangan Liang , Tianwu Lin , Shuang Chen , Rui Liu , Jie Wang , Hongsheng Zhang , Peng Gong

Deforestation detection using satellite images can make an important contribution to forest management. Current approaches can be broadly divided into those that compare two images taken at similar periods of the year and those that monitor…

Applications · Statistics 2017-04-05 Emiliano Diaz

The recent decline of the European forest carbon sink highlights the need for spatially explicit and frequently updated forest monitoring tools. Yet, existing satellite-based disturbance products remain too coarse to detect changes at the…

Monitoring underwater habitats is a vital part of observing the condition of the environment. The detection and mapping of underwater vegetation, especially seagrass has drawn the attention of the research community as early as the nineteen…

Computer Vision and Pattern Recognition · Computer Science 2019-03-04 Md Moniruzzaman , S. M. Shamsul Islam , Paul Lavery , Mohammed Bennamoun , C. Peng Lam

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

The interest for change detection in the field of remote sensing has increased in the last few years. Searching for changes in satellite images has many useful applications, ranging from land cover and land use analysis to anomaly…

Computer Vision and Pattern Recognition · Computer Science 2021-07-14 Antonio Di Pilato , Nicolò Taggio , Alexis Pompili , Michele Iacobellis , Adriano Di Florio , Davide Passarelli , Sergio Samarelli

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

Earth observation technologies, such as optical imaging and synthetic aperture radar (SAR), provide excellent means to monitor ever-growing urban environments continuously. Notably, in the case of large-scale disasters (e.g., tsunamis and…

Computer Vision and Pattern Recognition · Computer Science 2020-09-15 Bruno Adriano , Naoto Yokoya , Junshi Xia , Hiroyuki Miura , Wen Liu , Masashi Matsuoka , Shunichi Koshimura

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…

Mapping standing dead trees is crucial for acquiring information on the effects of climate change on forests and forest biodiversity. However, leveraging high-quality aerial imagery for dead tree segmentation poses challenges due to…

Computer Vision and Pattern Recognition · Computer Science 2026-05-05 Mete Ahishali , Anis Ur Rahman , Einari Heinaro , Aysen Degerli , Samuli Junttila

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

With the rise in high resolution remote sensing technologies there has been an explosion in the amount of data available for forest monitoring, and an accompanying growth in artificial intelligence applications to automatically derive…

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

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

Forests are vital to ecosystems, supporting biodiversity and essential services, but are rapidly changing due to land use and climate change. Understanding and mitigating negative effects requires parsing data on forests at global scale…

Computer Vision and Pattern Recognition · Computer Science 2025-02-25 Nikolaos Ioannis Bountos , Arthur Ouaknine , Ioannis Papoutsis , David Rolnick

Object detection in optical remote sensing images, being a fundamental but challenging problem in the field of aerial and satellite image analysis, plays an important role for a wide range of applications and is receiving significant…

Computer Vision and Pattern Recognition · Computer Science 2016-04-05 Gong Cheng , Junwei Han

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

Change detection is an essential and widely utilized task in remote sensing that aims to detect and analyze changes occurring in the same geographical area over time, which has broad applications in urban development, agricultural surveys,…

Computer Vision and Pattern Recognition · Computer Science 2023-05-11 Guangliang Cheng , Yunmeng Huang , Xiangtai Li , Shuchang Lyu , Zhaoyang Xu , Qi Zhao , Shiming Xiang
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