Land Consumption Monitoring with SAR Data and Multispectral Indices

Land consumption is the increase in artificial land cover, which a major issue for environmental sustainability. In Italy, Italian Institute Environmental Protection and Research (ISPRA) National System (SNPA) have institutional duty to monitor yearly, through photointerpretation of high-resolution images. This study intends develop methodology order produce maps consumption, by use semi-automatic classification multitemporal images, reduce effort detecting real changes. The developed uses vegetation indices calculated over time series images decision rules. Three variants were applied detect changes that occurred Italy between years 2018 2019, results validated using ISPRA official data. show produced include large commission errors, but thanks methodology, area be photointerpreted was reduced 7300 km2 (2.4% surface). third variant provided highest detection changes: 70.4% larger than 100 m2 (the pixel size) 84.0% above 500 m2. Omissions are mainly related single changes, while detected at least one most cases. conclusion, can improve focusing work selected areas automatically.