Abstract
This paper presents results from an activity undertaken at the Dipartimento di Georisorse e Territorio — Politecnico di Torino, to analyze remotely sensed data in order to generate thematic maps suitable for environmental impact studies. The aim is to identify optimal procedures and methodologies, from data acquisition, through to the final restitution of the product. Several types of data were processed and different algorithms were implemented in order to compare their performances. These methods were then used to classify digital images acquired at different times of the year and in different locations. Particular attention was paid to the elaboration of a new multi spectral digital image analysis capable of standardizing the procedures used for the different problems studied. This standard analysis includes: remotely sensed data acquisition, pre-elaboration of data, spectral signature extraction, definition of the training samples, fully automated and/or supervised classification and thematic map generation and editing. Three different case-studies are presented here: (i) an experimental test to obtain a Bormida valley land use map using Landsat 5 Thematic Mapper data (ii); the effects of multiple look direction radar and back scatter enhancement from flooded terrain using airborne SAR imagery; (iii) moisture content analysis using Landsat 5 Thematic Mapper data and generation of a water-table contour map.
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© 1997 Springer-Verlag Berlin Heidelberg
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Boccardo, P. (1997). Environmental Impact Analysis Using Remotely Sensed Data. In: Bardinet, C., Royer, JJ. (eds) Geosciences and Water Resources: Environmental Data Modeling . Data and Knowledge in a Changing World. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60627-4_15
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DOI: https://doi.org/10.1007/978-3-642-60627-4_15
Publisher Name: Springer, Berlin, Heidelberg
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