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Related papers: AGBD: A Global-scale Biomass Dataset

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Understanding which genes control which traits in an organism remains one of the central challenges in biology. Despite significant advances in data collection technology, our ability to map genes to traits is still limited. This…

Genomics · Quantitative Biology 2025-08-22 Manuel Serna-Aguilera , Fiona L. Goggin , Aranyak Goswami , Alexander Bucksch , Suxing Liu , Khoa Luu

Accurate forest canopy height estimation is essential for evaluating aboveground biomass and carbon stock dynamics, supporting ecosystem monitoring services like timber provisioning, climate change mitigation, and biodiversity conservation.…

Computer Vision and Pattern Recognition · Computer Science 2024-10-25 Jose B. Castro , Cheryl Rogers , Camile Sothe , Dominic Cyr , Alemu Gonsamo

We present xBD, a new, large-scale dataset for the advancement of change detection and building damage assessment for humanitarian assistance and disaster recovery research. Natural disaster response requires an accurate understanding of…

Computer Vision and Pattern Recognition · Computer Science 2019-11-22 Ritwik Gupta , Richard Hosfelt , Sandra Sajeev , Nirav Patel , Bryce Goodman , Jigar Doshi , Eric Heim , Howie Choset , Matthew Gaston

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 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

Selective weeding is one of the key challenges in the field of agriculture robotics. To accomplish this task, a farm robot should be able to accurately detect plants and to distinguish them between crop and weeds. Most of the promising…

Computer Vision and Pattern Recognition · Computer Science 2017-12-19 Maurilio Di Cicco , Ciro Potena , Giorgio Grisetti , Alberto Pretto

We present the Open Graph Benchmark (OGB), a diverse set of challenging and realistic benchmark datasets to facilitate scalable, robust, and reproducible graph machine learning (ML) research. OGB datasets are large-scale, encompass multiple…

Machine Learning · Computer Science 2021-02-26 Weihua Hu , Matthias Fey , Marinka Zitnik , Yuxiao Dong , Hongyu Ren , Bowen Liu , Michele Catasta , Jure Leskovec

Today 7.2 billion people inhabit the Earth and by 2050 this number will have risen to around nine billion, of which about 70 percent will be living in cities. Hence, it is essential to understand drivers, dynamics, and impacts of the human…

Accurately estimating forest biomass is crucial for global carbon cycle modelling and climate change mitigation. Tree height, a key factor in biomass calculations, can be measured using Synthetic Aperture Radar (SAR) technology. This study…

Computer Vision and Pattern Recognition · Computer Science 2024-09-10 Grace Colverd , Jumpei Takami , Laura Schade , Karol Bot , Joseph A. Gallego-Mejia

Estimating forest aboveground biomass (AGB) from Earth observation combines two structurally incompatible label sources: spaceborne lidar provides canopy structure at millions of locations but no biomass estimate, and ground-based plots…

Computer Vision and Pattern Recognition · Computer Science 2026-05-20 Reza M. Asiyabi , Juan Alberto Molina-Valero , The SEOSAW Partnership , Steven Hancock , Casey M. Ryan

Gradient tree boosting is a prediction algorithm that sequentially produces a model in the form of linear combinations of decision trees, by solving an infinite-dimensional optimization problem. We combine gradient boosting and Nesterov's…

Machine Learning · Statistics 2018-03-07 Gérard Biau , Benoît Cadre , Laurent Rouvìère

Monitoring vegetation dynamics is crucial for addressing global environmental challenges like degradation and deforestation, but traditional remote sensing methods are often complex and resource-intensive. To overcome these barriers, we…

Human-Computer Interaction · Computer Science 2025-09-03 Md. Moktader Moula , Israt Jahan Shonom , Azharul Islam , Mohammad Mosharraf Hossain

With the rise in global greenhouse gas emissions, accurate large-scale tree canopy height maps are essential for understanding forest structure, estimating above-ground biomass, and monitoring ecological disruptions. To this end, we present…

Machine Learning · Computer Science 2026-03-13 Jan Pauls , Max Zimmer , Berkant Turan , Sassan Saatchi , Philippe Ciais , Sebastian Pokutta , Fabian Gieseke

Climate change poses one of the most significant challenges to humanity. As a result of these climatic changes, the frequency of weather, climate, and water-related disasters has multiplied fivefold over the past 50 years, resulting in over…

Machine Learning · Computer Science 2023-12-04 Xiaolong Tu , Anik Mallik , Haoxin Wang , Jiang Xie

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

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

Biomass estimation of oilseed rape is crucial for optimizing crop productivity and breeding strategies. While UAV-based imaging has advanced high-throughput phenotyping, current methods often rely on orthophoto images, which struggle with…

Computer Vision and Pattern Recognition · Computer Science 2024-11-14 Yutao Shen , Hongyu Zhou , Xin Yang , Xuqi Lu , Ziyue Guo , Lixi Jiang , Yong He , Haiyan Cen

Powered by advances in multiple remote sensing sensors, the production of high spatial resolution images provides great potential to achieve cost-efficient and high-accuracy agricultural inventory and analysis in an automated way. Lots of…

Computer Vision and Pattern Recognition · Computer Science 2025-08-21 Juepeng Zheng , Zi Ye , Yibin Wen , Jianxi Huang , Zhiwei Zhang , Qingmei Li , Qiong Hu , Baodong Xu , Lingyuan Zhao , Haohuan Fu

Groundwater depletion impacts the sustainability of numerous groundwater-dependent vegetation (GDV) globally, placing significant stress on their capacity to provide environmental and ecological support for flora, fauna, and anthropic…

Applications · Statistics 2020-09-08 Mason Terrett , Daniel Fryer , Tanya Doody , Hien Nguyen , Pascal Castellazzi

Trees are key components of the terrestrial biosphere, playing vital roles in ecosystem function, climate regulation, and the bioeconomy. However, large-scale monitoring of individual trees remains limited by inadequate modelling. Available…

Computer Vision and Pattern Recognition · Computer Science 2025-09-01 Dimitri Gominski , Martin Brandt , Xiaoye Tong , Siyu Liu , Maurice Mugabowindekwe , Sizhuo Li , Florian Reiner , Andrew Davies , Rasmus Fensholt