Data

Multi Attribute Data - Bellinger River Catchment - Landform and Condition Dataset

data.nsw.gov.au
NSW Department of Climate Change, Energy, the Environment and Water (Owner)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://data.nsw.gov.au/data/dataset/p-corporate-layers-land-multiattribute-multiattributebellingen-p-lyr&rft.title=Multi Attribute Data - Bellinger River Catchment - Landform and Condition Dataset&rft.identifier=http://data.nsw.gov.au/data/dataset/p-corporate-layers-land-multiattribute-multiattributebellingen-p-lyr&rft.publisher=data.nsw.gov.au&rft.description=Data Quality StatementBellingen Multi AttributeThe multiple attribute mapping process as applied in this dataset provides a vector based inventory of the landscape in terms of landuse, vegetation, presence of tree regrowth, tree and shrub canopy density, presence of understorey and soil erosion condition.;\r\nIt is referred to as Land Condition Mapping. Mass movement is mapped where it exists as is a selected range of weed species. These characteristics of the land are part of the larger dataset of characteristics that can be mapped using the NSW Dept. of Land and Water Conservation's full set of attribute codes. Multi Attribute Data is a vector-based inventory of the landscape comprising polygon and linear features. This system of mapping can describe a number of attributes (such as slope, terrain, landuse, vegetation community, presence of tree regrowth, soil erosion, rock outcrops, geology, Great Soil Groups, weed species and soil conservation measures) in to one polygon. The value of attribute mapping lies in the fact that the data, which objectively characterises the land, can be used for a variety of purposes and is only limited by the scale of mapping and the classification used. This translates into the availability of a range of derivative products. Mapping is typically carried out at 1:25 000 scale using topographic maps as a base. Outputs are most useful at a sub- catchment or regional scale but not generally at property level.&rft.creator=Anonymous&rft.date=2024&rft.coverage=153.058024,-30.589122 153.058024,-30.309265 152.390147,-30.309265 152.390147,-30.589122 153.058024,-30.589122&rft_rights=Creative Commons Attribution http://www.opendefinition.org/licenses/cc-by&rft_subject=Landform and Condition&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution
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Brief description

The multiple attribute mapping process as applied in this dataset provides a vector based inventory of the landscape in terms of landuse, vegetation, presence of tree regrowth, tree and shrub canopy density, presence of understorey and soil erosion condition.;
It is referred to as Land Condition Mapping. Mass movement is mapped where it exists as is a selected range of weed species. These characteristics of the land are part of the larger dataset of characteristics that can be mapped using the NSW Dept. of Land and Water Conservation's full set of attribute codes. Multi Attribute Data is a vector-based inventory of the landscape comprising polygon and linear features. This system of mapping can describe a number of attributes (such as slope, terrain, landuse, vegetation community, presence of tree regrowth, soil erosion, rock outcrops, geology, Great Soil Groups, weed species and soil conservation measures) in to one polygon. The value of attribute mapping lies in the fact that the data, which objectively characterises the land, can be used for a variety of purposes and is only limited by the scale of mapping and the classification used. This translates into the availability of a range of derivative products. Mapping is typically carried out at 1:25 000 scale using topographic maps as a base. Outputs are most useful at a sub- catchment or regional scale but not generally at property level.

Full description

Data Quality Statement
Bellingen Multi Attribute

This dataset is part of a larger collection

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153.05802,-30.58912 153.05802,-30.30927 152.39015,-30.30927 152.39015,-30.58912 153.05802,-30.58912

152.7240855,-30.4491935

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