This dataset contains UAS RGB and multispectral raw images and orthomosaics of Calperum plot SASRIV0002. 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).

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).

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).

This dataset contains UAS RGB and multispectral raw images and orthomosaics of the Calperum Mallee SuperSite SASMDD0001. 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).

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).

This dataset contains UAS RGB and multispectral raw images and orthomosaics of Calperum plot SASMDD0014. 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).

This dataset contains UAS RGB and multispectral raw images and orthomosaics of Calperum plots SASMDD0016 and SASMDD0017. 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).

This dataset contains UAS RGB and multispectral raw images and orthomosaics of Calperum plot SASMDD0011. 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 (6 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).

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).

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).