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Thematic page: Land data. Only type "Cadaster data"
<< Back to main theme "Land data"
Key types of data for this theme-
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Data about farming practices / activities, normally for the purpose of compiling agricultural census statistics. Normally associated with land use data. -
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Land cover indicates the physical land type such as forest or open water. Land cover data documents how much of a region is covered by forests, wetlands, impervious surfaces, agriculture, and other land and water types. Land cover can be determined by analyzing satellite and aerial imagery. (Source: NOAA: https://oceanservice.noaa.gov/facts/lclu.html) -
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Data including the location, dimensions, boundaries and ownership of land parcels, which may also include details such as titles and specified land use.-
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Cadaster data come from official cadasters maintained by the public administration in a country, Cadaster data records the real estate or real property's metes-and-bounds of a country. -
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Data about land ownership in countries or communities with informal land ownership regulations, not covered by national cadasters
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Data regarding agricultural land usage and changes in usage, such as different crop or vegetation cover. Land use shows how people use the landscape – whether for development, conservation, or mixed uses
Other useful types of data for this theme
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Data related to consumable products, such as menu and recipe information and ingredients, and may include a breakdown of treatments and pesticide usage. -
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Basic geospatial data, including raster and vector maps, administrative boundaries, points of data. Data including topographic and physical maps (and satellite or laser imagery) of natural features such as mountains, rivers and forests, and transport and building infrastructure. -
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Government data regarding official records, which may include relevant licenses and permits, safety inspection data, tariffs rates and pesticide usage data. -
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Various population and agricultural-related data, which may include employment statistics, food security indicators, amounts of land dedicated to/value added by different crops, crop yields, fertiliser and irrigation usage, and other agricultural production details.
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Publisher(s) / Maintainer(s):
University of Melbourne
University of Melbourne. Centre for Spatial Data Infrastructures & Land Administration (CSDILA)
The "Cadastral Template 2.0" has been developed by a research group at the Centre for SDIs and Land administration, Department of Infrastructure Engineering of the University of Melbourne and it was...