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To meet the challenges of global urbanization, earth observation information is greatly needed. The lack of global three-dimensional (3D) urban structure data has been a major limiting factor in important urban applications such as…

Physics and Society · Physics 2018-07-13 Panshi Wang , Chengquan Huang , James C. Tilton

Building height is an important indicator for scientific research and practical application. However, building height products with a high spatial resolution (10m) are still very scarce. To meet the needs of high-resolution building height…

Computer Vision and Pattern Recognition · Computer Science 2024-05-03 Xin Yan

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

We introduce University of Texas - Global Building heights for Urban Studies (UT-GLOBUS), a dataset providing building heights and urban canopy parameters (UCPs) for more than 1200 cities or locales worldwide. UT-GLOBUS combines open-source…

Computational Engineering, Finance, and Science · Computer Science 2024-08-19 Harsh G. Kamath , Manmeet Singh , Neetiraj Malviya , Alberto Martilli , Liu He , Daniel Aliaga , Cenlin He , Fei Chen , Lori A. Magruder , Zong-Liang Yang , Dev Niyogi

Mapping forest resources and carbon is important for improving forest management and meeting the objectives of storing carbon and preserving the environment. Spaceborne remote sensing approaches have considerable potential to support forest…

Machine Learning · Statistics 2023-11-10 David Morin , Milena Planells , Stéphane Mermoz , Florian Mouret

NASA's Global Ecosystem Dynamics Investigation (GEDI) is a key climate mission whose goal is to advance our understanding of the role of forests in the global carbon cycle. While GEDI is the first space-based LIDAR explicitly optimized to…

Machine Learning · Computer Science 2021-11-05 Nico Lang , Nikolai Kalischek , John Armston , Konrad Schindler , Ralph Dubayah , Jan Dirk Wegner

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

The worldwide variation in vegetation height is fundamental to the global carbon cycle and central to the functioning of ecosystems and their biodiversity. Geospatially explicit and, ideally, highly resolved information is required to…

Computer Vision and Pattern Recognition · Computer Science 2022-04-19 Nico Lang , Walter Jetz , Konrad Schindler , Jan Dirk Wegner

Urban modeling from LiDAR point clouds is an important topic in computer vision, computer graphics, photogrammetry and remote sensing. 3D city models have found a wide range of applications in smart cities, autonomous navigation, urban…

Computer Vision and Pattern Recognition · Computer Science 2023-07-25 Ruisheng Wang , Shangfeng Huang , Hongxin Yang

Developments in three-dimensional real worlds promote the integration of geoinformation and building information models (BIM) known as GeoBIM in urban construction. Light detection and ranging (LiDAR) integrated with global navigation…

Computer Vision and Pattern Recognition · Computer Science 2023-05-23 Jie Shao , Wei Yao , Puzuo Wang , Zhiyi He , Lei Luo

Building coverage statistics provide crucial insights into the urbanization, infrastructure, and poverty level of a region, facilitating efforts towards alleviating poverty, building sustainable cities, and allocating infrastructure…

Computer Vision and Pattern Recognition · Computer Science 2023-01-06 Enci Liu , Chenlin Meng , Matthew Kolodner , Eun Jee Sung , Sihang Chen , Marshall Burke , David Lobell , Stefano Ermon

Despite the substantial demand for high-quality, large-area building maps, no established open-source workflow for generating 2D and 3D maps currently exists. This study introduces an automated, open-source workflow for large-scale 2D and…

Computer Vision and Pattern Recognition · Computer Science 2023-08-17 Hunsoo Song , Jinha Jung

3D urban reconstruction of buildings from remotely sensed imagery has drawn significant attention during the past two decades. While aerial imagery and LiDAR provide higher resolution, satellite imagery is cheaper and more efficient to…

Computer Vision and Pattern Recognition · Computer Science 2020-05-20 Bo Xu , Xu Zhang , Zhixin Li , Matt Leotta , Shih-Fu Chang , Jie Shan

Information on urban tree canopies is fundamental to mitigating climate change [1] as well as improving quality of life [2]. Urban tree planting initiatives face a lack of up-to-date data about the horizontal and vertical dimensions of the…

Image and Video Processing · Electrical Eng. & Systems 2022-12-13 John Francis , Stephen Law

Geolocation error in spaceborne sampling light detection and ranging (LiDAR) measurements of forest structure can compromise forest attribute estimates and degrade integration with georeferenced field measurements or other remotely sensed…

Spaceborne Light Detection and Ranging (LiDAR) systems, such as NASA's Global Ecosystem Dynamics Investigation (GEDI), provide forest structure for global carbon assessments. However, geolocation uncertainties (typically 5-15 m) propagate…

Image and Video Processing · Electrical Eng. & Systems 2025-11-25 Narumasa Tsutsumida , Rei Mitsuhashi , Yoshito Sawada , Akira Kato

Crop type maps are critical for tracking agricultural land use and estimating crop production. Remote sensing has proven an efficient and reliable tool for creating these maps in regions with abundant ground labels for model training, yet…

Applications · Statistics 2022-12-20 Stefania Di Tommaso , Sherrie Wang , Vivek Vajipey , Noel Gorelick , Rob Strey , David B. Lobell

Accurate geolocation is essential for the reliable use of GEDI LiDAR data in footprint-scale applications such as aboveground biomass modeling, data fusion, and ecosystem monitoring. However, residual geolocation errors arising from both…

Computational Engineering, Finance, and Science · Computer Science 2025-11-04 Leonel Corado , Sérgio Godinho , Carlos Alberto Silva , Juan Guerra-Hernández , Francesco Valérioa , Teresa Gonçalves , Pedro Salgueiro

This paper presents a Light Detection and Ranging (LiDAR) data set that targets complex urban environments. Urban environments with high-rise buildings and congested traffic pose a significant challenge for many robotics applications. The…

Robotics · Computer Science 2018-03-19 Jinyong Jeong , Younggun Cho , Young-Sik Shin , Hyunchul Roh , Ayoung Kim

One key vertical application that will be enabled by 6G is the automation of the processes with the increased use of robots. As a result, sensing and localization of the surrounding environment becomes a crucial factor for these robots to…

Signal Processing · Electrical Eng. & Systems 2021-02-23 Madhushanka Padmal , Dileepa Marasinghe , Vijitha Isuru , Nalin Jayaweera , Samad Ali , Nandana Rajatheva
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