Validation and comparison of different techniques for the derivation of digital elevation models and volcanic monitoring (Vulcano island, Italy) | INSTITUT DE PHYSIQUE DU GLOBE DE PARIS

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  Validation and comparison of different techniques for the derivation of digital elevation models and volcanic monitoring (Vulcano island, Italy)

Type de publication:

Journal Article

Source:

Int. j. remote sens., Volume 23, Ticket 22, p.4783-4800 (2002)

ISBN:

0143-1161

Numéro d'appel:

PUB

Mots-clés:

Gravimétrie et géodynamique ; GPS vulcano, UMR 7096

Résumé:

High accurate Digital Elevation Models (DEM) acquired periodically over volcanic area can be used for monitoring crustal deformations. Airborne stereoscopic photography is a powerful tool to derive high resolution DEM, specially when combined with Global Positioning System (GPS). We analyze data acquired on Vulcano Island (Italy) to assess the performance of two photogrammetry methods for DEM generation. The first method is based on automatic digital processing of scanned airborne stereo images from a film camera (Wild RC20). In the second method digital stereo data from the multi-spectral High Resolution Stereo Camera - Airborne (HRSC-A) are used. Accuracy assessment through comparison with kinematic GPS height profiles shows that both DEMs have accuracy on the order of few decimeters. Direct comparison of the two DEMs on the La Fossa volcanic cone provides a standard deviation of the residuals of 78 cm. Residuals greater than 2 meters between the two DEMs acquired at one year interval are locally evidenced in unstable areas with uneven morphology. The application of photogrammetric DEMs is also discussed within a SAR interferometry study carried out on Vulcano Island to evaluate the potentialities of such techniques for ground deformation monitoring. Although accuracy better than 1 or 2m is not required for satellite SAR interferometry, we show how the precise photogrammetric DEMs improves significantly SAR interferograms of Vulcano Island

Notes:

International journal of remote sensing