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<gmd:abstract><gco:CharacterString>A data set of land use as at June 2002 for Lower Murray-Darling. Land use is classified to three separate classification schemes. These classification schemes are: NSW Land Use Mapping Program (LUMAP), NSW SCALD (Standard Classification for Attributes of Land) Classification, and ALUM (Australian Land Use and Management) Classification. The LUMAP Classification is DIPNR's most recent classification for mapping of land use classes for NSW. It is a simple numeric classification, open-ended to enable additional classes to be added. Prior to LUMAP, the SCALD classification was the standard for mapping of land use in NSW. It is a combined alpha-numeric classification system. The ALUM classification is based upon the modified Baxter and Russell classification and presented according to the specifications contained in www.LUCs.gov.au/landandwater/landuse. Versions 4 and 5 of the classification are used to describe the land use classes. The mapping was commenced in November 2003 and is on-going. The date of the data set is set as the land use occurring at the time the satellite imagery was acquired in between 2000 and 2002.</gco:CharacterString></gmd:abstract>
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<gmd:statement><gco:CharacterString>The data set is a new series of land use maps prepared by DIPNR for the Lower Murray-Darling area of NSW. Data sets were input into ArcGIS workstations and used to build a composite polygon layer. Where new linework was required this was direct digitised on screen within the Arc GIS Environment. Information compiled prior to mapping comprises: the cadastral layer from the NSW Digital Cadastral Database, boundaries of State Forests, National Parks and Nature Reserves from each agency, Property Agreements and Management Contracts funded under the NSW State Government's Native Vegetation Management Fund, Western Division clearing consents, land use information prepared as part of the mapping of native vegetation, SunRISE Irrigated cropping, and RAMS cropping. The ALUM classification defines three levels of land use description - primary, secondary and tertiary. For the majority of the land use descriptions is down to the tertiary level. Satellite imagery, aerial photography, existing data sets, local knowledge and field checking were used as the main data sources. Patterns and spectral signatures in the Landsat 7 imagery, which comprise band combinations of 453 RGB multispectral merged with 12.5 metre pixel panchromatic provide specific recognition of a range of agricultural activities, namely: cereal and fodder cropping, vegetable production and grazing. For other land use features such as newly established plantation (softwood, hardwood, tea-tree), intensive animal industries, farm dams, fish farms, extractive industries and features including previously mined areas, swamps. The main data sources are the aerial photographs, supplemented by field checking and local knowledge. The Aerial photographs were mostly contact prints produced at 1:50,000 scale and were viewed with an optical sterioscope to produce a three dimensional image. This information was then drawn as lines on hard copy maps in the initial stages of the program, and directly to digital layers via on-screen digitising for the later and majority of the program. Other imagery providing high resolution detail over specific sections of the project area, mainly river corridors, was used This was in the form of scanned digital images that were used as a backdrop for the on screen digitising process. The DIPNR spatial database for Property Agreements and Management Contracts was used to identify the class ‘other conserved areas' which are primarily private conservation agreements (Class 1.1.7). The same database for Clearing Consents was used to identify areas recently cleared and planted to softwood, hardwood or tea-tree in a well-defined plantation. The spectral signatures in the satellite imagery for these areas is the same as cultivated areas (if completely bare), grassland or young woody vegetation. Aerial photographs taken in 2000 or thereafter are used to confirm a satellite pattern that indicated the plantation is established. Irrigation developments were identified from the SunRISE Irrigation Development dataset produced by SunRISE Mildura Local knowledge isused for specific commodity types in orchards or on cultivated lands, specialised industries such as plant nurseries, local urban features and crops grown under irrigation. Local information is obtained from the following sources: district DIPNR and Landcare officers, local landholders, officers of NSW Agriculture, rural extension officers and/or managers with private stock and station agencies, and internet advertising for specific industries and districts. Field verification is carried out after the interpretation of the satellite imagery and aerial photographs. This is designed to confirm specific land uses such as: rural residential lands, effluent disposal systems, vineyards, orchards, and olive groves and if they are irrigated on a permanent basis, specific commodity types in orchards, dairies and poultry sheds, eucalyptus oil plantations, fish and yabby farms, evidence of previous cropping activities using the presence of stubble as an indicator, and pasture improvement activities. As part of the checking process a number of landholders are interviewed to provide further checks on the land use classification. Independent officers of DIPNR validated the original mapping and classification of polygons. These officers have more than 20 years experience in land use classification techniques. Data were verified by checks of the satellite imagery and aerial photographs Once the data was converted into digital format, additional checks are undertaken to validate the data. Positional accuracy is 50 metres for the original DIPNR mapping. All lines and polygons are tagged. Topological consistency is performed as part of the quality assurance procedures using ArcGIS. The majority of land uses are described to the tertiary level with some description at secondary level for approximately 25 percent of the total survey area</gco:CharacterString></gmd:statement>
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