This work intends to test the use of remotely sensed data, as a mean to identify degraded lands with a high environmental hazard. The approach uses data from the sensor Thematic Mapper on Landsat 5 in synergy with digital ortho-photos (1:10000) and land cover map Corine 1990 to create a methodology useful to identify areas with dumps. The analysed scene is relative to an area located in the Apulia Region in Southern Italy, where it is known the presence of a dump nearthe Margherita di Savoia "saline" (salt evaporation pool). As this dump is in its early phase, it is impossible to use thermal anomaly as a characteristic sign of its presence. So its identification proceeds through the extraction of the spectral signatures of the dump area and of the neighbourhood zones. The analysis is developed in three steps: 1. Monitoring the change in the zone nearby the pools, especially if abandoned; 2. Pointing out the dump presence by the spectral signature specificity; 3. Individuating areas characterized by the same spectral properties. A pre-processing analysis is carried out by the Principal Component Transformation in order to minimize spectral noise and redundancy. Subsequently, the images are classified by the unsupervised algorithm ISODATA aiming at automatically individuating radiometric classes. The regions of interest are identified by help of the land cover map and then characterised by their spectral signatures. The identification of the dump is a feasible objective because of the temporal stability of its spectral signature, with respect to those of the other areas.
|Titolo:||Southern Italy illegal dumps detection based on spectral analysis of remotely sensed data and land cover maps|
|Data di pubblicazione:||2004|
|Nome del convegno:||Remote Sensing for Environmental Monitoring, GIS Applications, and Geology III|
|Digital Object Identifier (DOI):||10.1117/12.511668|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|