In this paper, we present the prototype of a new tool for computing land use on satellite images. Its main feature is the possibility of being used in a collaborative Web-based environment, where multiple expert users cooperate in validating the territory classification of different areas, according to the presence or absence of anthropic activity. For land use estimation, we use a well-known indicator in literature, namely the Anthropentropy Factor (AF). The novelty of the approach is the use of open software libraries, based on KML language and Google API’s for the AF computation; its efficacy has been compared to other previously implemented approaches, namely the use of proprietary, ad hoc software tool and the use of GIS software on European Corine Land Cover data sets. A preliminary result of the work in progress is presented and commented.
A Web-based Collaborative Tool for Land Use Computation on Satellite Images
Maria Grazia Albanesi
;Riccardo Amadeo
2018-01-01
Abstract
In this paper, we present the prototype of a new tool for computing land use on satellite images. Its main feature is the possibility of being used in a collaborative Web-based environment, where multiple expert users cooperate in validating the territory classification of different areas, according to the presence or absence of anthropic activity. For land use estimation, we use a well-known indicator in literature, namely the Anthropentropy Factor (AF). The novelty of the approach is the use of open software libraries, based on KML language and Google API’s for the AF computation; its efficacy has been compared to other previously implemented approaches, namely the use of proprietary, ad hoc software tool and the use of GIS software on European Corine Land Cover data sets. A preliminary result of the work in progress is presented and commented.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
