This Coordinated Imagery Program project represents a relaxed accuracy 4 band RGBI aerial photography capture over a wildfire burn area in Gippsland. The photography will be used for mapping fire severity across the burn area.

Second half of Fuel Reduction Burn imagery capture for Gippsland

Captured as part of the 2017-18 CIP, this 20cm relaxed accuracy photography covers the Mallee region in North West Victoria and is suitable for a wide range of purposes where broad-scale imagery is required.

Captured as part of the 2017-18 CIP, this relaxed accuracy 20cm visible (RGB) band photography covers a large extent of Victoria's North East region. The photography will be used by State and Local Government for GIS analysis, map production, and urban growth planning.

Captured as part of the 2017-18 CIP, this 6cm 4 band photography is available as vis and cir mosaics over Kingston City Council

Captured as part of the 2017-18 CIP, this project covers Yarra Council with 3 epochs of 6cm high accuracy photography and Stonnington Council with 1 epoch of 6cm high accuracy photography. Epoch 1 (summer) is captured as a 4 band (RGBi) product whilst the other two epochs are 3 band (RGB) captures.

2015-16 Knox Classified Photogrammetric Point Cloud

Captured as part of the 2017-18 CIP, this 10cm relaxed accuracy 4 band (RGBi) photography project over Macedon Ranges Shire is available as visible (RGB) and near-infra red (CIR) mosaics and is useful for a wide range of mapping and analytical purposes including vegetation health.

Commissioned as part of the 2016-17 CIP, this multi-year, multi-epoch project covers Bendigo City and selected towns several times between November 2017 and October 2020 with relaxed accuracy 10cm photography for use in the areas of council planning, water infrastructure, asset mapping and urban growth monitoring for a variety of Local and State Government agencies and Water Authorities.

Captured as part of the 2017-18 CIP, this 10cm 3 band relaxed accuracy product over South Gippsland Shire has higher accuracy image processing over selected townships, making it useful for a wide range of GIS applications.