Status report for the 3D Elevation Program, 2013-2014

Abstract

For more information on the USGS-the Federal source for science about the Earth, its natural and living resources, natural hazards, and the environment-visit http://www.usgs.gov or call 1-888-ASK-USGS For an overview of USGS information products, including maps, imagery, and publications, visit http://www.usgs.gov/pubprodTo order this and other USGS information products, visit http://store.usgs.gov Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.Although this information product, for the most part, is in the public domain, it also may contain copyrighted materials as noted in the text. Permission to reproduce copyrighted items must be secured from the copyright owner. AbstractThe 3D Elevation Program (3DEP) goal is to acquire, manage, and distribute enhanced threedimensional elevation data for the Nation and U.S. territories by 2023. This status report covers implementation activities during 2013-2014 to include meeting funding objectives, developing a management structure, modernizing systems, and collecting and producing initial 3DEP data and products. The Nation will not have complete coverage of 3DEP quality data until 2023 assuming that sufficient funding is available. In spite of the overall condition of government budgets, the 3DEP initiative has gained widespread support and had incremental budget success to include supplemental funding resulting from natural disasters. The 3DEP Executive Forum and a wide range of professional organizations are actively working to maintain support for the program. The systems that have been developed to support increasing acquisition and processing levels are largely in place. The first 3DEP quality datasets were released to the public in late 2014. In addition, light detection and ranging (lidar), interferometric synthetic aperture radar (ifsar), and digital elevation models (DEMs) acquired before 2014 are all supported within the new infrastructure and available for download. Research is ongoing to expand the suite of products and services, and to increase overall throughput and data management efficiency. Emerging technologies may result in lower acquisition costs in the future. Elevation data acquired by 3DEP partnerships will be available through The National Map representing one of the largest and most comprehensive databases publicly available for the United States.

Semi-Automatic Geographic Information System Framework for Creating Photo-Realistic Digital Twin Cities to Support Autonomous Driving Research

“…The construction of a digital terrain often requires elevation data obtained from airborne and ground-based LiDAR mapping, radar topography mapping, and topographic surveys. In the context of creating a digital terrain for a town or city within the United States, the most commonly used elevation data sources include the United States Geological Survey (USGS)’s National Elevation Database (NED) ( 69 ) and National Oceanic and Atmospheric Administration (NOAA)’s U.S. Interagency Elevation Inventory (USIEI) ( 70 ). Both the NED and USIEI provide nationwide listings and compilations of known publicly available high-accuracy topographic elevation data, such as the National LiDAR Dataset ( 71 ), contour maps ( 72 ), Landsat Collection-2 Digital Elevation Modeling (DEM) ( 73 ), and Shuttle Radar Topography Mission (SRTM) program ( 74 ).…”

Дистанційне Зондування Як Ефективний Інструмент Проєктування Доріг

“…Спираючись на дослідні дані роботи [18] і погоджуючись з висновками робіт [10,16], запропоновано інформаційну технологію інженерногеодезичних вишукувань, яка з урахуванням вимог законодавства України [8,9,17] розкриває кроки поєднання дистанційних даних з різних джерел, пояснює послідовність формування цифрових даних для топографо-геодезичних матеріалів, надає інформацію щодо обґрунтування фінансових, часових і ресурсних параметрів проєктів доріг.…”

Voxel-Based Spatial Filtering Method for Canopy Height Retrieval from Airborne Single-Photon Lidar

“…It means that these methods forfeit a key advantage of SPL data over other systems-the ability to provide fine scale topographic and structural details. Applying histogram based filtering methods to SPL data would therefore drastically reduce its usefulness for applications such as high-quality topographic mapping [12], individual tree-level classification [13] and high resolution carbon monitoring [14,15]. Furthermore, histogram based filtering methods could potentially have errors over complex terrain because of the mixing between ground/canopy signals and noise points.…”