The 2017-19 River condition audit project has been undertaken to supplement and compare mapping undertaken in DELWPs 2009-10 Index of Stream Condition (ISC) assessment. The Department of Environment, Land, Water, Planning (DELWP) has developed a methodology to assess aspects of river condition using remote sensing data, specifically LIDAR and aerial photography. This project collects LiDAR and imagery for a subset of rivers mapped in the original 2009-10 ISC survey. In addition to supporting the generation of physical form and ripartian vegetation metrics, the data has been used to identify change over time. LiDAR and imagery was captured for 70 rivers across nine CMAs over two seasons (2017-18 and 2018-19). Mallee CMA rivers were captured in the second season, so the data is from 2018-19. Remote sensing data collected includes LiDAR data at four points per m² and 12.5cm aerial photography. These were used to derive a range of standard and non-standard physical form and riparian vegetation raster datasets. The project was managed on a CMA by CMA basis with all source and derived datasets being organised this way.

Aspatial Dataset. This table provides the lookup values for the search functions within the Victoria Unearthed website.

Captured as part of the 2018-19 CIP, this project covers Macedon Ranges LGA with 10cm high accuracy photography and is useful for a wide range of council purposes.

The 2017-19 River condition audit project has been undertaken to supplement and compare mapping undertaken in DELWPs 2009-10 Index of Stream Condition (ISC) assessment. The Department of Environment, Land, Water, Planning (DELWP) has developed a methodology to assess aspects of river condition using remote sensing data, specifically LIDAR and aerial photography. This project collects LiDAR and imagery for a subset of rivers mapped in the original 2009-10 ISC survey. In addition to supporting the generation of physical form and ripartian vegetation metrics, the data has been used to identify change over time. LiDAR and imagery was captured for 70 rivers across nine CMAs over two seasons (2017-18 and 2018-19). Goulburn Broken CMA rivers were captured in the first season, so the data is from 2017-18. Remote sensing data collected includes LiDAR data at four points per m² and 12.5cm aerial photography. These were used to derive a range of standard and non-standard physical form and riparian vegetation raster datasets. The project was managed on a CMA by CMA basis with all source and derived datasets being organised this way.

This Coordinated Imagery Program project represents LiDAR capture over Birregurra township and also covering an area west of the township including part of the Atkin Creek and Barwon River. This data will primarily be used for the Birregurra Flood Study.

Year 3 of a 3 year contract to capture Bendigo and a selection of townships

2018-19 Bass Coast

Captured as part of the 2018-19 CIP, this project covers Colac Otway, Corangamite and Golden Plains Local Government Areas with relaxed accuracy 15cm photography and is useful for a wide range of regional change over time and planning applications.

The dataset is for TESTING purposes only. The information contained within is a DRAFT dataset for the construction of a website and should not be used for any other purpose.

The 2017-19 River condition audit project has been undertaken to supplement and compare mapping undertaken in DELWPs 2009-10 Index of Stream Condition (ISC) assessment. The Department of Environment, Land, Water, Planning (DELWP) has developed a methodology to assess aspects of river condition using remote sensing data, specifically LIDAR and aerial photography. This project collects LiDAR and imagery for a subset of rivers mapped in the original 2009-10 ISC survey. In addition to supporting the generation of physical form and ripartian vegetation metrics, the data has been used to identify change over time. LiDAR and imagery was captured for 70 rivers across nine CMAs over two seasons (2017-18 and 2018-19). Wimmera CMA rivers were captured in the second season, so the data is from 2018-19. Remote sensing data collected includes LiDAR data at four points per m² and 12.5cm aerial photography. These were used to derive a range of standard and non-standard physical form and riparian vegetation raster datasets. The project was managed on a CMA by CMA basis with all source and derived datasets being organised this way.