Paper
17 November 1995 Different space imagery analysis for lineament detection: a comparison between Landsat-TM and ERS-1 data (Bradanic Trough, southern Italy)
Massimo Antoninetti, Rosa Loizzo, M. Pappalepore, Monica Pepe, P. Pieri
Author Affiliations +
Abstract
The aim of the research presented here is to point out the possibility of comparison and integration of the information derived from optical and SAR sensors for geotectonic studies. The study area, known as Fossa Bradanica, is located in Southern Italy and is a tectonic depression directed NW-SE, that represents the Apennine foredeep. It is characterized by a thick sequence consisting of clay, sand, and conglomerate strata. Optical and microwave images collected during three different seasons (spring, summer and winter) have been selected. Only the winter images have been interpreted because the winter Landsat-TM image proved to be more proper in tectonic studies, due to the low sun elevation enhancing the morphological characteristics of the area. According to this choice, winter ERS-1 images registered during both ascending and descending orbits have been analyzed. The identification and analysis of tectonic lineaments have been performed separately on the different images, manually detecting the lineaments by photointerpretation. The comparison of results points out that the synergistic use of the two sensors could offer an effective improvement in the knowledge of geological and structural data. 15
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Massimo Antoninetti, Rosa Loizzo, M. Pappalepore, Monica Pepe, and P. Pieri "Different space imagery analysis for lineament detection: a comparison between Landsat-TM and ERS-1 data (Bradanic Trough, southern Italy)", Proc. SPIE 2587, Geographic Information Systems, Photogrammetry, and Geological/Geophysical Remote Sensing, (17 November 1995); https://doi.org/10.1117/12.226822
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Cited by 2 scholarly publications.
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KEYWORDS
Earth observing sensors

Landsat

Sensors

Synthetic aperture radar

Data acquisition

Integrated optics

Photointerpretation

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