Paper
21 December 1994 Subpixel estimation of the Venice lagoon wetlands using Thematic Mapper data
Eugenio Zilioli, Pietro Alessandro Brivio, Michele Arrigazzi, Giovanni M. Lechi
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Abstract
This paper deals with the application of a modified linear mixture model (MLM) to the satellite image classification for a precise evaluation of the landscape unit surfaces in the lagoon environments where transitional zones between continent and sea waters are marked by clusters of mixed pixels. The importance of a precise classification for these border-pixels is evident since satellite observations could become a very precious tool in the monitoring of erosion/sedimentation rate of wetlands. The study area is located in the lagoon of Venice (Italy) which has been subjected to a slow but continuous sinking since the beginning of this century causing a remarkable loss in the extension of wetlands. A data set of three Landsat Thematic Mapper passages was used, 3-year intervalled one another, and covering the period from 1984 to 1990. Validation of the adopted methodology was made by the support of aerial color photos, taken the same days of the 1987 satellite overflight.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Eugenio Zilioli, Pietro Alessandro Brivio, Michele Arrigazzi, and Giovanni M. Lechi "Subpixel estimation of the Venice lagoon wetlands using Thematic Mapper data", Proc. SPIE 2318, Recent Advances in Remote Sensing and Hyperspectral Remote Sensing, (21 December 1994); https://doi.org/10.1117/12.197227
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Earth observing sensors

Satellites

Image classification

Landsat

Reflectivity

Satellite imaging

Infrared radiation

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