Paper
14 March 2003 New vegetation map of Castelporziano presidential estate
Antonio Bruno Della Rocca, Sandro Pignatti, Pietro Massimiliano Bianco, Stefano Mugnoli
Author Affiliations +
Abstract
The 'Tenuta di Castelporziano' (Castelporziano Presidential Estate) is an important area for the study of Mediterranean coastal and dune ecosystems. The need of providing a new and detailed Vegetation Map rose for the environmental monitoring of that area and its efficient management. All activities were developed using remote sensing images acquired by a new 12 band DAEDALUS sensor, in the course of a specific monitoring aero-campaign organized by ENEA. The realization of the map, lasted one year, can be divided into two blocks: (1)remote sensing image processing methodologies, developed at the ENEA-Casaccia Research Center (Rome), by experts of Remote Sensing Department; and (2) 'in situ' work, realized by ecologists and botanical experts of University of Rome 'La Sapienza'. Image processing steps were organized as follows: (i) geometric correction and georeferencing of the images; (ii) classification; (iii) mosaicking; (iv) conversion into vector layer and editing. As concerns image processing, ERDAS/IMAGINE system was used, while ARC/INFO system was used for vector layers management and map printing. At the end of all activities the map accuracy was tested by a statistical procedure: the global accuracy was about of 88%. The map is integrated in a information system (SITAC), a GIS realized by ENEA.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Antonio Bruno Della Rocca, Sandro Pignatti, Pietro Massimiliano Bianco, and Stefano Mugnoli "New vegetation map of Castelporziano presidential estate", Proc. SPIE 4886, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology II, (14 March 2003); https://doi.org/10.1117/12.462085
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KEYWORDS
Vegetation

Image processing

Remote sensing

Cartography

Raster graphics

Georeferencing

Image classification

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