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    This dataset consists of bare earth covariates designed to indicate the presence of iron oxides, ferrous minerals, quartz/carbonate and hydroxyl minerals, to support soil and lithological modelling across Australia. <br> Bare earth layers (bands) represent the weighted geometric median of pixel values derived from a 30 year time-series of Landsat 5, 7 and 8 imagery converted to at-surface-reflectance, using the latest techniques to reduce the influence of vegetation (see Publications: Roberts, Wilford & Ghattas 2019). Bare earth layers are (BLUE (0.452 - 0.512), GREEN (0.533 - 0.590), RED, (0.636 - 0.673) NIR (0.851 - 0.879), SWIR1 (1.566 - 1.651) and SWIR2 (2.107 - 2.294) wavelength regions. <br> Covariates are then derived from principal components analysis and ratios of specific bare earth layers to target identification of elements of surface geochemistry. Layers are available as mosaics or tiles in 30 or 90 metre resolution.<br>

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    The QBEIS survey database (formerly CORVEG) contains ecosystem physical and vegetation characteristics, including structural and floristic attributes as well as descriptions of landscape, soil and geologic features, collected at study locations across Queensland since 1982. The resulting survey database provides a comprehensive record of areas ground-truthed during the regional ecosystems mapping process and a basis for future updating of mapping or other relevant work such as species modelling.<br /><br /> Only validated survey data is made publicly available and all records of confidential taxa have been masked from the dataset. Data is accessible from the TERN Data Infrastructure, which provides the ability to extract subsets of vegetation, soil and landscape data across multiple data collections and bioregions for more than 100 variables including basal area, crown cover, growth form, stem density and vegetation height.

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    This dataset contains UAS RGB and multispectral raw images and orthomosaics of Calperum plot SASRIV0001. The drone platform used was DJI Matrice 300 (M300) RTK. Two sensors were flown simultaneously: Zenmuse P1 (35 mm) RGB mapping camera and MicaSense RedEdge-MX Dual (10-band multispectral sensor). The RGB images were geo-referenced using the onboard GNSS in M300 and the D-RTK 2 base station. In the processing workflow, the multispectral image positions (captured with navigation-grade accuracy) were interpolated using image timestamp and RGB image coordinates. Dense point clouds and the fine-resolution RGB smoothed surface were used to generate both the RGB (1 cm/pixel) and multispectral (5 cm/pixel) orthomosaics. rio-cogeo plugin was used to generate Cloud Optimised GeoTIFFs. Details of the data collection settings and processing workflow are described in further sections. Note on multispectral data: in the raw data image file suffixes correspond to bands - 1: Blue, 2: Green, 3: Red, 4: NIR, 5: Red Edge, 6: Coastal Blue, 7: Green 531, 8: Red 650, 9: RedEdge 705, 10: RedEdge 740. In the orthomosaic, the bands (1-10) are ordered by the Central Wavelength (Coastal Blue, Blue, Green 531, Green, Red 650, Red, RedEdge 705, RedEdge, RedEdge 740, NIR).

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    This dataset contains UAS RGB and multispectral raw images and orthomosaics of Calperum plot SASMDD0008. The drone platform used was DJI Matrice 300 (M300) RTK. Two sensors were flown simultaneously: Zenmuse P1 (35 mm) RGB mapping camera and MicaSense RedEdge-MX (5-band multispectral sensor). The RGB images were geo-referenced using the onboard GNSS in M300 and the D-RTK 2 base station. In the processing workflow, the multispectral image positions (captured with navigation-grade accuracy) were interpolated using image timestamp and RGB image coordinates. Dense point clouds and the fine-resolution RGB smoothed surface were used to generate both the RGB (1 cm/pixel) and multispectral (5 cm/pixel) orthomosaics. rio-cogeo plugin was used to generate Cloud Optimised GeoTIFFs. Details of the data collection settings and processing workflow are described in further sections. Note on multispectral data: in the raw data image file suffixes correspond to bands - 1: Blue, 2: Green, 3: Red, 4: NIR, 5: Red Edge. In the orthomosaic, the bands (1-5) are ordered by the Central Wavelength (Blue, Green, Red, RedEdge, NIR).

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    This dataset contains UAS RGB and multispectral raw images and orthomosaics of Calperum plot SASMDD0002. The drone platform used was DJI Matrice 300 (M300) RTK. Two sensors were flown simultaneously: Zenmuse P1 (35 mm) RGB mapping camera and MicaSense RedEdge-MX Dual (10-band multispectral sensor). The RGB images were geo-referenced using the onboard GNSS in M300 and the D-RTK 2 base station. In the processing workflow, the multispectral image positions (captured with navigation-grade accuracy) were interpolated using image timestamp and RGB image coordinates. Dense point clouds and the fine-resolution RGB smoothed surface were used to generate both the RGB (1 cm/pixel) and multispectral (5 cm/pixel) orthomosaics. rio-cogeo plugin was used to generate Cloud Optimised GeoTIFFs. Details of the data collection settings and processing workflow are described in further sections. Note on multispectral data: in the raw data image file suffixes correspond to bands - 1: Blue, 2: Green, 3: Red, 4: NIR, 5: Red Edge, 6: Coastal Blue, 7: Green 531, 8: Red 650, 9: RedEdge 705, 10: RedEdge 740. In the orthomosaic, the bands (1-10) are ordered by the Central Wavelength (Coastal Blue, Blue, Green 531, Green, Red 650, Red, RedEdge 705, RedEdge, RedEdge 740, NIR).

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    This dataset contains UAS RGB and multispectral raw images and orthomosaics of Calperum plot SASMDD0013. The drone platform used was DJI Matrice 300 (M300) RTK. Two sensors were flown simultaneously: Zenmuse P1 (35 mm) RGB mapping camera and MicaSense RedEdge-MX Dual (10-band multispectral sensor). The RGB images were geo-referenced using the onboard GNSS in M300 and the D-RTK 2 base station. In the processing workflow, the multispectral image positions (captured with navigation-grade accuracy) were interpolated using image timestamp and RGB image coordinates. Dense point clouds and the fine-resolution RGB smoothed surface were used to generate both the RGB (1 cm/pixel) and multispectral (5 cm/pixel) orthomosaics. rio-cogeo plugin was used to generate Cloud Optimised GeoTIFFs. Details of the data collection settings and processing workflow are described in further sections. Note on multispectral data: in the raw data image file suffixes correspond to bands - 1: Blue, 2: Green, 3: Red, 4: NIR, 5: Red Edge, 6: Coastal Blue, 7: Green 531, 8: Red 650, 9: RedEdge 705, 10: RedEdge 740. In the orthomosaic, the bands (1-10) are ordered by the Central Wavelength (Coastal Blue, Blue, Green 531, Green, Red 650, Red, RedEdge 705, RedEdge, RedEdge 740, NIR).

  • Categories    

    This dataset contains UAS RGB and multispectral raw images and orthomosaics of Calperum plot SASMDD0003. The drone platform used was DJI Matrice 300 (M300) RTK. Two sensors were flown simultaneously: Zenmuse P1 (35 mm) RGB mapping camera and MicaSense RedEdge-MX Dual (10-band multispectral sensor). The RGB images were geo-referenced using the onboard GNSS in M300 and the D-RTK 2 base station. In the processing workflow, the multispectral image positions (captured with navigation-grade accuracy) were interpolated using image timestamp and RGB image coordinates. Dense point clouds and the fine-resolution RGB smoothed surface were used to generate both the RGB (1 cm/pixel) and multispectral (5 cm/pixel) orthomosaics. rio-cogeo plugin was used to generate Cloud Optimised GeoTIFFs. Details of the data collection settings and processing workflow are described in further sections. Note on multispectral data: in the raw data image file suffixes correspond to bands - 1: Blue, 2: Green, 3: Red, 4: NIR, 5: Red Edge, 6: Coastal Blue, 7: Green 531, 8: Red 650, 9: RedEdge 705, 10: RedEdge 740. In the orthomosaic, the bands (1-10) are ordered by the Central Wavelength (Coastal Blue, Blue, Green 531, Green, Red 650, Red, RedEdge 705, RedEdge, RedEdge 740, NIR).

  • Categories    

    This dataset contains UAS RGB and multispectral raw images and orthomosaics of Calperum plot SASMDD0004. The drone platform used was DJI Matrice 300 (M300) RTK. Two sensors were flown simultaneously: Zenmuse P1 (35 mm) RGB mapping camera and MicaSense RedEdge-MX (5-band multispectral sensor). The RGB images were geo-referenced using the onboard GNSS in M300 and the D-RTK 2 base station. In the processing workflow, the multispectral image positions (captured with navigation-grade accuracy) were interpolated using image timestamp and RGB image coordinates. Dense point clouds and the fine-resolution RGB smoothed surface were used to generate both the RGB (1 cm/pixel) and multispectral (5 cm/pixel) orthomosaics. rio-cogeo plugin was used to generate Cloud Optimised GeoTIFFs. Details of the data collection settings and processing workflow are described in further sections. Note on multispectral data: in the raw data image file suffixes correspond to bands - 1: Blue, 2: Green, 3: Red, 4: NIR, 5: Red Edge. In the orthomosaic, the bands (1-5) are ordered by the Central Wavelength (Blue, Green, Red, RedEdge, NIR).

  • Categories    

    This dataset contains UAS RGB and multispectral raw images and orthomosaics of Calperum plots SASMDD0010 and SASMDD0018. The drone platform used was DJI Matrice 300 (M300) RTK. Two sensors were flown simultaneously: Zenmuse P1 (35 mm) RGB mapping camera and MicaSense RedEdge-MX Dual (10-band multispectral sensor). The RGB images were geo-referenced using the onboard GNSS in M300 and the D-RTK 2 base station. In the processing workflow, the multispectral image positions (captured with navigation-grade accuracy) were interpolated using image timestamp and RGB image coordinates. Dense point clouds and the fine-resolution RGB smoothed surface were used to generate both the RGB (1 cm/pixel) and multispectral (5 cm/pixel) orthomosaics. rio-cogeo plugin was used to generate Cloud Optimised GeoTIFFs. Details of the data collection settings and processing workflow are described in further sections. Note on multispectral data: in the raw data image file suffixes correspond to bands - 1: Blue, 2: Green, 3: Red, 4: NIR, 5: Red Edge, 6: Coastal Blue, 7: Green 531, 8: Red 650, 9: RedEdge 705, 10: RedEdge 740. In the orthomosaic, the bands (1-10) are ordered by the Central Wavelength (Coastal Blue, Blue, Green 531, Green, Red 650, Red, RedEdge 705, RedEdge, RedEdge 740, NIR).

  • Categories    

    This dataset contains UAS RGB and multispectral raw images and orthomosaics of Calperum plot SASMDD0012. The drone platform used was DJI Matrice 300 (M300) RTK. Two sensors were flown simultaneously: Zenmuse P1 (35 mm) RGB mapping camera and MicaSense RedEdge-MX Dual (10-band multispectral sensor). The RGB images were geo-referenced using the onboard GNSS in M300 and the D-RTK 2 base station. In the processing workflow, the multispectral image positions (captured with navigation-grade accuracy) were interpolated using image timestamp and RGB image coordinates. Dense point clouds and the fine-resolution RGB smoothed surface were used to generate both the RGB (1 cm/pixel) and multispectral (5 cm/pixel) orthomosaics. rio-cogeo plugin was used to generate Cloud Optimised GeoTIFFs. Details of the data collection settings and processing workflow are described in further sections. Note on multispectral data: in the raw data image file suffixes correspond to bands - 1: Blue, 2: Green, 3: Red, 4: NIR, 5: Red Edge, 6: Coastal Blue, 7: Green 531, 8: Red 650, 9: RedEdge 705, 10: RedEdge 740. In the orthomosaic, the bands (1-10) are ordered by the Central Wavelength (Coastal Blue, Blue, Green 531, Green, Red 650, Red, RedEdge 705, RedEdge, RedEdge 740, NIR).