In this paper the landfill located to Rossano (CS) is analyzed through an integrated approach by the use of different remote sensed data from 1994 to 2010. In particular, the Multispectral Visible and Infrared Imaging Spectrometer (MIVIS) airborne sensor, orthophotos and Google Earthtm satellite image are used. The integrated multi-temporal data and downscaling analysis have identified several evidences such as the increase of land consumption. The Normalized Difference Vegetation Index (NDVI) of MIVIS image allows to observe the distribution of exposed soil and vegetated areas. At the same time, MIVIS thermal data shows some superficial thermal anomalies which highlighted these changes. Finally, this study shows how this approach can be useful to support both monitoring studies of land consumption as well as planning environmental campaigns in such areas.
Anthropogenic activities monitoring by a multi-sensor approach: A case study of Rossano (CS) landfill
Mei A;Manzo C;Fontinovo G;Merola P;Bassani C;Allegrini A
2016
Abstract
In this paper the landfill located to Rossano (CS) is analyzed through an integrated approach by the use of different remote sensed data from 1994 to 2010. In particular, the Multispectral Visible and Infrared Imaging Spectrometer (MIVIS) airborne sensor, orthophotos and Google Earthtm satellite image are used. The integrated multi-temporal data and downscaling analysis have identified several evidences such as the increase of land consumption. The Normalized Difference Vegetation Index (NDVI) of MIVIS image allows to observe the distribution of exposed soil and vegetated areas. At the same time, MIVIS thermal data shows some superficial thermal anomalies which highlighted these changes. Finally, this study shows how this approach can be useful to support both monitoring studies of land consumption as well as planning environmental campaigns in such areas.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
