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An Automated, Open Source Pipeline for Mass Production of 2 m/px DEMs from Commercial Stereo Imagery

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Titel An Automated, Open Source Pipeline for Mass Production of 2 m/px DEMs from Commercial Stereo Imagery
Serientitel FOSS4G 2014 Portland
Autor Shean, David
Lizenz CC-Namensnennung - keine kommerzielle Nutzung - keine Bearbeitung 3.0 Unported:
Sie dürfen das Werk bzw. den Inhalt in unveränderter Form zu jedem legalen und nicht-kommerziellen Zweck nutzen, vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen.
DOI 10.5446/31715
Herausgeber FOSS4G
Open Source Geospatial Foundation (OSGeo)
Erscheinungsjahr 2014
Sprache Englisch
Produzent Foss4G
Open Source Geospatial Foundation (OSGeo)
Produktionsjahr 2014
Produktionsort Portland, Oregon, United States of America

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Fachgebiet Informatik
Abstract We have adapted the NASA Ames Stereo Pipeline (ASP) - a suite of automated, open source, command-line photogrammetry tools originally developed for NASA planetary missions - to process high-resolution stereo satellite imagery of the Earth. These tools are multithreaded, memory efficient and scalable, which enables processing of "big image data" (e.g., 16-bit panchromatic WorldView images with dimensions ~36000 x 460000 px). We have deployed this pipeline on the NASA Pleiades supercomputer to generate ~2 m/px digital elevation models (DEMs) and ~0.5 m/px orthoimages for thousands of WorldView-1/2 along-track stereopairs. New ASP tools mitigate systematic DEM artifacts and allow for automated, a posteriori DEM coregistration using iterative closest point algorithms. When existing control data are available (e.g. LiDAR, GPS), automated alignment routines offer sub-meter horizontal and vertical DEM accuracy.Our research applications focus on ice sheet dynamics in Greenland/Antarctica and ice/snow evolution in the Pacific Northwest. We have developed an additional collection of tools for DEM analysis, including utilities to produce maps of 3D surface displacement (velocity) vectors and eulerian/lagrangian elevation change. We present the following case studies to highlight the capabilities of these data and our open source workflow:-A 57+ DEM timeseries from 2008-2013 for Greenland's most dynamic outlet glacier, revealing >40 m/yr interannual thinning and large seasonal variability-Annual DEM mosaics that reveal the ongoing evolution of West Antarctica's "weak underbelly", an area roughly the size of New Mexico-Repeat DEM timeseries for Mt. St. Helen's showing volcanic dome growth, glacier advance, canopy height, fluvial erosion/deposition, and landslides.For many applications, DEMs derived from high-resolution satellite imagery are comparable to those derived from airborne LiDAR data, with the advantage of global, on-demand tasking capabilities and reduced costs. Archived commercial stereo imagery is available at no cost to federal employees or federally-funded researchers, and the tools/methods highlighted here offer an automated, open source alternative to traditional, GUI-based, commercial photogrammetry software packages. https://github.com/NeoGeographyToolkit/StereoPipeline
Schlagwörter photogrammetry
remote sensing
3D
DigitalGlobe
WorldView

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