Abstract
Knowledge of a territory is an essential element in any future planning action and in appropriate territorial and environmental requalification action planning. The current large-scale availability of satellite data, thanks to very high resolution images, provides professional users in the environmental, urban planning, engineering, and territorial government sectors, in general, with large amounts of useful data with which to monitor the territory and cultural heritage. Italy is experiencing environmental emergencies, and coastal erosion is one of the greatest threats, not only to the Italian heritage and economy, but also to human life. The aim of this paper is to find a rapid way of identifying the instantaneous shoreline. This possibility could help government institutions such as regions, civil protection, etc., to analyze large areas of land quickly. The focus is on instantaneous shoreline extraction in Ortona (CH, Italy), without considering tides, using WorldView-2 satellite images (50-cm resolution in panchromatic and 2 m in multispectral). In particular, the main purpose of this paper is to compare commercial software and ACM filters to test their effectiveness.
Highlights
Is experiencing a number of environmental problems, including considerable coastline variations
This work is a first step for a comparison between Active Connections Matrix systems (ACM) filters and filters well known in the world of the software used
Rome and Full Professor Adjoint at the University of Colorado (USA). This patent concerns Active Connections Matrix systems (ACM), according to which each image is considered as an active matrix of connected elements that develops over time
Summary
Is experiencing a number of environmental problems, including considerable coastline variations. The instant shoreline cannot even be acquired all at once, such as using GNSS receivers in RTK mode for which the line has to be measured in a time interval of up to several minutes This factor makes ground data generally not directly comparable with data from aircraft or satellites. The fundamental ability to capture the scene in several spectral bands allows more information to be extracted than is extractable from images covering only the visible part of the electromagnetic spectrum and allows thematic maps of the territory to be created through multispectral classification Another advantage, which makes this technique more attractive than the others, is that satellite revisit times are very short (a few days), which allows the area to be studied on images taken at different times. This work is a first step for a comparison between ACM filters (never used in the engineering fields) and filters well known in the world of the software used
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