SRCosmos:

Order of appearence	Full citation	SRCosmos Link
1	Toutin Th. (2001) 'Elevation Modelling from Satellite VIR Data: A Review', Int J Remote Sens, 22, 1097-1125.
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5	Ai-Rousan N, Petrie G, (1998) 'System calibration, geometric accuracy testing and validation of DEM and orthoimage data extracted from SPOT stereopairs using commercially available image processing systems', Int Arch Photogrammetry Remote Sens, 32, 4, 8-15.
6	Cheng Ph., Toutin Th., and Stohr C. (1999) 'Automated DEM Extraction from Aerial Photos or Optical Satellite Images', Proceedings of the 13th International Conference on Applied Geologic Remote Sensing, March 1-3, 1999, Vancouver, Vol. 1, pp. 56-63.
7	Toutin, Th. and Cheng, Ph., (2000) URL: http://www.eomonline.com/Common/Archives/ July00/toutin.htm
8	Steininger MK, (2000) 'Satellite estimation of tropical secondary forest above-ground biomass: data from Brazil and Bolivia', Int J Remote Sens, 21, 1139 – 1175.
9	Muchoney D, Borak J, Chi H, Friedl M, Gopal S, Hodges J, Morrow N, Strahler A, (2000) 'Application of the MODIS global supervised classification model for vegetation and land cover mapping of Central America', Int J Remote Sens, 21, 1115 – 1138.
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Keywords	stereoscopy, digital elevation model, global positionign system, multispectral classification, Geographic Information System, watershed management
Abstract	In this study, high spatial resolution stereo imagery from ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer), onboard Terra satellite, was analyzed in combination with Global Positioning System (GPS) data and field observations, using GIS techniques to examine the potential of high spatial resolution multi-spectral remote sensing to support watershed management. Terrain elevation data were derived by applying photogrammetric processes to overlapping ASTER stereo pairs for the region of Heraklion, Crete, whereas land cover data were derived by applying supervised classification techniques on ASTER multispectral imagery.ASTER method gives a strong advantage in terms of radiometric variations versus the multi-date stereo-data acquisition with across-track stereo, which can then compensate for the weaker stereo geometry. Nadir-looking and Backward-looking scenes were used and the output pixel spacing of 15 m was specified. A set of stereo (Ground Control Points) GCP was used for the registration of both scenes. A digital stereo correlation approach and a rigorous parametric model used to calculate parallax differences in ASTER stereo pairs. These GCP were collected with the use of differential ground GPS (Global Positioning System) station of the Regional Analysis Division of FORTH/IACM (Foundation for Research and Technology – Hellas, Institute of Applied and Computational Mathematics). The accuracy for the along-track stereo derived DEM (Digital Elevation Model) from ASTER, was greater than 20 meters (planimetric) and greater than 15 meters (elevation). Supervised classification techniques were applied for land cover production using ASTER multispectral imagery and filed observations at predefined application sites. The determination of training areas required in the supervised classification scheme was based on these observations. Finally, GIS methods were applied to estimate watershed characterization parameters for the study area offering the advantages of spatial data handling capabilities and automatic extraction of thematic information. The drainage pattern, which was derived, provided a generally representative depiction of the watershed. The output pixel spacing of 15 m of the produced DEM as well as the high spatial resolution of ASTER imagery found to be quite satisfactory for the watershed characterization of the study area, indicating the high potential of ASTER multispectral imagery to support watershed management. It is therefore expected, the proposed method to provide valuable information to hydrological research and modelling in Greece.
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Name	Affiliation	Home page	e-mail	Total pubs
Chrysoulakis N	Foundation for Research and Technology – Hellas, Institute of Applied and Computational Mathematics, N. Plastira 100, Vassilika Vouton, P.O. Box 1385, GR-71110, Heraklion, Crete, Greece		zedd2@iacm.forth.gr	4
Diamandakis M				2
Prastacos P	Foundation for Research and Technology – Hellas, Institute of Applied and Computational Mathematics, Regional Analysis Division			3