Acquisition of earth science remote sensing observations from commercial sources: lessons learned from the Space Imaging IKONOS example

Goward, Samuel N.; Townshend, J. R. G.; Zanoni, Vicki; Policelli, F.; Stanley, T. D.; Ryan, Robert; Holekamp, Kara; Underwood, Lauren; Pagnutti, Mary; Fletcher, Rose

doi:10.1016/j.rse.2003.06.007

Cited by 4 publications

(1 citation statement)

References 26 publications

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“…Recent very-high resolution satellite sensors such as IKONOS, QuickBird or SPOT-5 have already widened the horizon of application techniques (Goward et al 2003, Huggel et al 2003c). The development of new sensors with high spatial and spectral resolution is continuing, and DEM quality and spatial resolution are expected to be improved ).…”

Section: Perspectivesmentioning

confidence: 99%

GIS‐based modeling of glacial hazards and their interactions using Landsat‐TM and IKONOS imagery

Huggel

Kääb

Salzmann

2004

Norsk Geografisk Tidsskrift - Norwegian Journal of Geography

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Hazard interactions in glacial and periglacial environments are of crucial importance due to their potential for causing major catastrophes. Nevertheless, glacial and periglacial hazards have usually been modeled separately to date. In this study, we therefore propose a methodological strategy for modeling and assessing glacial and periglacial hazard interactions on a regional scale, including ice avalanches, lake outbursts and periglacial debris flows. Due to climate-related rapid changes in glacial and periglacial areas, methods which incorporate monitoring capacities are needed. Hence, the methods presented here are based on remote sensing data, which are particularly powerful for monitoring tasks, and GIS modeling. For ice avalanche and lake-outburst hazard detection and modeling, we applied recently published methods based on Landsat-TM imagery, terrain modeling and flow routing. For detection of potential debris-flow initiation zones in steep debris reservoirs, we present a novel method based on image processing of IKONOS data and terrain modeling, followed by flow modeling. Using this method, we achieve the synthesis of the individual process modeling in order to assess the potential interactions. The modeling is applied to a study region in the central Swiss Alps. The results show that systematic modeling based on remote sensing and GIS is suitable for first-order assessment of glacial and periglacial hazard interactions as well as assessments of possible consequences, including impacts on traffic routes and other infrastructure. Based on this, critical cases can be detected and analyzed by subsequent detailed studies.

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Section: Perspectivesmentioning

confidence: 99%