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DETAILED AND HIGHLY ACCURATE 3D MODELS OF HIGH MOUNTAIN AREAS BY THE MACS-HIMALAYA AERIAL CAMERA PLATFORM

Brauchle, Jörg und Hein, Daniel und Berger, R. (2015) DETAILED AND HIGHLY ACCURATE 3D MODELS OF HIGH MOUNTAIN AREAS BY THE MACS-HIMALAYA AERIAL CAMERA PLATFORM. International Archives of Photogrammetry and Remote Sensing, XL-7/W (40), Seiten 1129-1136. International Society for Photogrammetry and Remote Sensing. doi: 10.5194/isprsarchives-XL-7-W3-1129-2015. ISSN 0256-1840.

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Offizielle URL: http://dx.doi.org/10.5194/isprsarchives-XL-7-W3-1129-2015

Kurzfassung

Remote sensing in areas with extreme altitude differences is particularly challenging. In high mountain areas specifically, steep slopes result in reduced ground pixel resolution and degraded quality in the DEM. Exceptionally high brightness differences can in part no longer be imaged by the sensors. Nevertheless, detailed information about mountainous regions is highly relevant: time and again glacier lake outburst floods (GLOFs) and debris avalanches claim dozens of victims. Glaciers are sensitive to climate change and must be carefully monitored. Very detailed and accurate 3D maps provide a basic tool for the analysis of natural hazards and the monitoring of glacier surfaces in high mountain areas. There is a gap here, because the desired accuracies are often not achieved. It is for this reason that the DLR Institute of Optical Sensor Systems has developed a new aerial camera, the MACS-Himalaya. The measuring unit comprises four camera modules with an overall aperture angle of 116° perpendicular to the direction of flight. A High Dynamic Range (HDR) mode was introduced so th at within a scene, bright areas such as sun-flooded snow and dark areas such as shaded stone can be imaged. In 2014, a measuring survey was performed on the Nepalese side of the Himalayas. The remote sensing system was carried by a Stemme S10 motor glider. Amongst other targets, the Seti Valley, Kali-Gandaki Valley and the Mt. Everest/Khumbu Region were imaged at heights up to 9,200 m. Products such as dense point clouds, DSMs and true orthomosaics with a ground pixel resolution of up to 15 cm were produced. Special challenges and gaps in th e investigation of high mountainareas, approaches for resolution of these problems, the camera system and the state of evaluation are presented with examples.

elib-URL des Eintrags:https://elib.dlr.de/98279/
Dokumentart:Zeitschriftenbeitrag
Titel:DETAILED AND HIGHLY ACCURATE 3D MODELS OF HIGH MOUNTAIN AREAS BY THE MACS-HIMALAYA AERIAL CAMERA PLATFORM
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Brauchle, JörgJoerg.Brauchle (at) dlr.dehttps://orcid.org/0000-0002-3556-7643NICHT SPEZIFIZIERT
Hein, DanielDaniel.Hein (at) dlr.dehttps://orcid.org/0000-0001-9186-4178NICHT SPEZIFIZIERT
Berger, R.Ralf.Berger (at) dlr.dehttps://orcid.org/0000-0002-1314-5554NICHT SPEZIFIZIERT
Datum:2015
Erschienen in:International Archives of Photogrammetry and Remote Sensing
Referierte Publikation:Ja
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Band:XL-7/W
DOI:10.5194/isprsarchives-XL-7-W3-1129-2015
Seitenbereich:Seiten 1129-1136
Herausgeber:
HerausgeberInstitution und/oder E-Mail-Adresse der HerausgeberHerausgeber-ORCID-iDORCID Put Code
NICHT SPEZIFIZIERTInternational Society for Photogrammetry and Remote SensingNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Verlag:International Society for Photogrammetry and Remote Sensing
Name der Reihe:ISPRS Archives
ISSN:0256-1840
Status:veröffentlicht
Stichwörter:3D Model, Himalaya, MACS, Aerial Camera, DEM, Mt. Everest, glacier mass balance, HDR
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - Optische Technologien und Anwendungen
Standort: Berlin-Adlershof
Institute & Einrichtungen:Institut für Optische Sensorsysteme > Anwendungen und Sensorkonzepte
Hinterlegt von: Brauchle, Jörg
Hinterlegt am:28 Sep 2015 07:41
Letzte Änderung:27 Nov 2023 12:39

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