Geographically, a city is characterized as a patchwork of intensive land-uses. Land-use is the rational and judicious approach of allocating available land resources for different activities (such as settlements, arable fields, pastures, and managed woods) within a city. It is a way of utilizing the land, including the allocation, planning, and management of its resources. The use of a particular patch of land and its physical character are linked. However, research that establishes this link is lacking despite the proliferation of geospatial data. Linking a city's physical form with its function is the goal of this paper.


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    Titel :

    Geographical Area Mapping and Classification Utilizing Multispectral Satellite Imagery Processing Based on Machine Learning Algorithms Classifying Land based on its use for different purposes


    Beteiligte:
    Saksena, Apurva (Autor:in) / Ringshia, Anushka (Autor:in) / Sharma, Arnnava (Autor:in) / Halbe, Aparna (Autor:in)


    Erscheinungsdatum :

    01.03.2018


    Format / Umfang :

    6961962 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch