Vegetation Type mapping by the SNW Dept of Environment and Conservation (NSW). Vegetation polygons attributed with dominant overstorey species and various land features through aerial photograph interpretation of contact prints at a scale of either 1:25,000 or 1:50,000 (availablility was 1995). The mapping covers parts of the Temora, Young, Boorowa, Cootamundra and Junee 1:100,000 mapsheets. Polygons were attributed using the API pathway described in Central West and Lachlan CMA Vegetation Mapping project (DEC 2006a and DEC 2006b). VIS_ID 4165

Vegetation Mapping of the Central West and Lachlan Catchments by the Dept of Environment and Conservation (NSW). Vegetation polygons attributed with dominant overstorey species and various land features through aerial photograph interpretation of contact prints at a scale of either 1:25,000 or 1:50,000 (availablility was 1995). The mapping covers Euchareena, Mudgee, Orange, Bathurst, Blayney, part Oberon, part Wellington and part Gulgong 1:100,000 mapsheets. Polygons were attributed using the API pathway described in Central West and Lachlan CMA Vegetation Mapping project (DECC 2006a and DECC 2006b). Updated in October 2010. VIS_ID 4163

Vegetation association mapping undertaken as part of a resource and fire behaviour assessment for Pilliga Nature Reserve and Warrumbungle National Park in 1990. Existing datasets were collated and field survey undertaken to inform air photo interpretation of vegetation patterns. 36 field survey sites were sampled in the Pilliga. Number of sites sampled in the Warrumbungles is not recorded. Specifications of aerial photography is not provided, however 1:50,000 air photos were flown over the Pilliga and part of Warrumbungles in 1989, and 1:50,000 photos captured in 1982 exist for the remainder of Warrumbungle NP. The purpose of the project was to provide an overall picture of the vegetation types and to sample fuel loadings stratified by vegetation type/physiology/aspect for incorporation into the NPWS FIREMAPS (Fire Mapping and Prediction System) and ERMS databases. VIS_ID 969.

Vegetation survey and mapping of Montawaa addition to Mt Kaputar NP in 2008, commissioned by NPWS Narrabri Region. Six communities were determined based on floristic analysis of 20 x 20 m survey sites, and described using dominant species and structural characteristics. Vegetation communities were mapped using ground truthing, position in landscape and stereo interpretation of aerial photos captured at 1:50,000. Lineage and attribution accuracy are unknown. VIS_ID 4008

Vegetation map digitised from Lembit, R. & Skelton, N. (1998).; ; The vegetation of Copperhania, Barton, Dapper & Boginderra Hills NRs, located in central-western NSW, is described and mapped at a scale of 1:50 000 based on field survey quadrats, aerial photo interpretation and multivariate analysis. 25 communities in total are described for the four reserves, eight in Copperhania NR, six in each of Barton and Dapper NRs and five in Boginderra Hills.; ; VIS_ID 848

Vegetation association mapping undertaken as part of a resource and fire behaviour assessment for Pilliga Nature Reserve and Warrumbungle National Park in 1990. Existing datasets were collated and field survey undertaken to inform air photo interpretation of vegetation patterns. 36 field survey sites were sampled in the Pilliga. Number of sites sampled in the Warrumbungles is not recorded. Specifications of aerial photography is not provided, however 1:50,000 air photos were flown over the Pilliga and part of Warrumbungles in 1989, and 1:50,000 photos captured in 1982 exist for the remainder of Warrumbungle NP. The purpose of the project was to provide an overall picture of the vegetation types and to sample fuel loadings stratified by vegetation type/physiology/aspect for incorporation into the NPWS FIREMAPS (Fire Mapping and Prediction System) and ERMS databases. VIS_ID 1012

This dataset was collected as an NCALM Seed grant for PI Katherine Lowe, University of Michigan, for the purpose of studying the effects of topography on peak ground acceleration. The requested survey area consisted of a polygon located 70 km northwest of Los Angeles, CA. The polygon encloses approximately 45.13 square km.

This data set consists of ground control polygons used for model training and evaluation (ground_control_polygons.gpkg): This dataset consists of refined vegetation polygons digitized across the island of Lāna‘i representing the 15 land cover classes of interest. High-resolution aerial imagery and extensive field experience were used to iteratively collect and improve the polygons through expert review and interpretation. The polygons were divided into a 250m grid overlaying the island to balance sample size and spatial resolution while reducing spatial autocorrelation, resulting in 1,754 smaller polygons. These polygon data served as the primary dataset used to train, validate, and evaluate the classification models through cross-validation. An iterative collection process aimed to achieve satisfactory model accuracy across all classes prior to final model selection and island-wide mapping.

Six vegetation communities were mapped following field survey and full floristic sampling. Colour aerial photographs at 1:50 000 scale formed the basis of the vegetation map polygons. The images were interpreted stereoscopically for patterns of vegetation and geomorphology, and matched to the vegetation site data. A provisional vegetation map was drafted on acetate overlays and the linework and boundaries checked during ground-truthing. The study area was traversed and particular sites investigated to confirm polygon labels and resolve vegetation boundaries. The final vegetation polygons were then transferred and corrected to the 1:50 000 topographic map sheet and coded. Linework was transferred to hardcopy topographic mapsheets and digitised using a digitising tablet and ArcView 3.3. A code denoting the vegetation community was then attributed to each polygon based on the hardcopy linework. Dataset was reprojected by DECCW from AGD66 Zone 55 to GDA94 using ArcMAP 9.3. VIS_ID 4012