'The USGS National Unmanned Aircraft Systems (UAS) Project Office utilizes UAS technology for collecting remote sensing data on a local scale. Typical UAS projects encompass areas that are too large to cover on foot and too small for traditional aircraft missions. The flexibility of operations and relative low cost of UAS allow scientists to support a range of activities including monitoring environmental conditions, analyzing the impacts of climate changes, responding to natural hazards, understanding landscape change rates and consequences, conducting fire assessments, tracking wildlife inventories, aiding search and rescue, and supporting related land management and emergency response missions. The USGS EROS Center manages and distributes data for the UAS Project Office. '

'The USGS National Unmanned Aircraft Systems (UAS) Project Office utilizes UAS technology for collecting remote sensing data on a local scale. Typical UAS projects encompass areas that are too large to cover on foot and too small for traditional aircraft missions. The flexibility of operations and relative low cost of UAS allow scientists to support a range of activities including monitoring environmental conditions, analyzing the impacts of climate changes, responding to natural hazards, understanding landscape change rates and consequences, conducting fire assessments, tracking wildlife inventories, aiding search and rescue, and supporting related land management and emergency response missions. The USGS EROS Center manages and distributes data for the UAS Project Office. '

'The USGS National Unmanned Aircraft Systems (UAS) Project Office utilizes UAS technology for collecting remote sensing data on a local scale. Typical UAS projects encompass areas that are too large to cover on foot and too small for traditional aircraft missions. The flexibility of operations and relative low cost of UAS allow scientists to support a range of activities including monitoring environmental conditions, analyzing the impacts of climate changes, responding to natural hazards, understanding landscape change rates and consequences, conducting fire assessments, tracking wildlife inventories, aiding search and rescue, and supporting related land management and emergency response missions. The USGS EROS Center manages and distributes data for the UAS Project Office. '

'The USGS National Unmanned Aircraft Systems (UAS) Project Office utilizes UAS technology for collecting remote sensing data on a local scale. Typical UAS projects encompass areas that are too large to cover on foot and too small for traditional aircraft missions. The flexibility of operations and relative low cost of UAS allow scientists to support a range of activities including monitoring environmental conditions, analyzing the impacts of climate changes, responding to natural hazards, understanding landscape change rates and consequences, conducting fire assessments, tracking wildlife inventories, aiding search and rescue, and supporting related land management and emergency response missions. The USGS EROS Center manages and distributes data for the UAS Project Office. '

'The USGS National Unmanned Aircraft Systems (UAS) Project Office utilizes UAS technology for collecting remote sensing data on a local scale. Typical UAS projects encompass areas that are too large to cover on foot and too small for traditional aircraft missions. The flexibility of operations and relative low cost of UAS allow scientists to support a range of activities including monitoring environmental conditions, analyzing the impacts of climate changes, responding to natural hazards, understanding landscape change rates and consequences, conducting fire assessments, tracking wildlife inventories, aiding search and rescue, and supporting related land management and emergency response missions. The USGS EROS Center manages and distributes data for the UAS Project Office. '

'The USGS National Unmanned Aircraft Systems (UAS) Project Office utilizes UAS technology for collecting remote sensing data on a local scale. Typical UAS projects encompass areas that are too large to cover on foot and too small for traditional aircraft missions. The flexibility of operations and relative low cost of UAS allow scientists to support a range of activities including monitoring environmental conditions, analyzing the impacts of climate changes, responding to natural hazards, understanding landscape change rates and consequences, conducting fire assessments, tracking wildlife inventories, aiding search and rescue, and supporting related land management and emergency response missions. The USGS EROS Center manages and distributes data for the UAS Project Office. '

'The USGS National Unmanned Aircraft Systems (UAS) Project Office utilizes UAS technology for collecting remote sensing data on a local scale. Typical UAS projects encompass areas that are too large to cover on foot and too small for traditional aircraft missions. The flexibility of operations and relative low cost of UAS allow scientists to support a range of activities including monitoring environmental conditions, analyzing the impacts of climate changes, responding to natural hazards, understanding landscape change rates and consequences, conducting fire assessments, tracking wildlife inventories, aiding search and rescue, and supporting related land management and emergency response missions. The USGS EROS Center manages and distributes data for the UAS Project Office. '

This dataset contains UAV multispectral imagery collected as part of a field trial to test the Unmanned Aerial System to be used for the TERN Drone project. The UAS platform is DJI Matrice 300 RTK with 2 sensors: Zenmuse P1 (35 mm) RGB mapping camera and Micasense RedEdge-MX (5-band multispectral sensor). P1 imagery were geo-referenced using the onboard GNSS in M300 and the D-RTK 2 Mobile Station. P1 Camera positions were post-processed using AUSPOS. The flights took place between 14:58 and 03:08 at a height of 80m with a flying speed set to 5 m/s. Forward and side overlaps of photographs were set to 80%. Micasense multispectral sensor positions were interpolated using P1, following which a standard workflow was followed in Agisoft Metashape to generate this orthomosaic (resolution 5 cm). Reflectance calibration was performed using captures of the MicaSense Calibration Panel taken before the flight. The orthomosaic raster has the relative reflectance (no unit) for the 5 bands (B, G, R, RedEdge, NIR). This cloud optimised (COG) GeoTIFF was created using rio command line interface. The coordinate reference system of the COG is EPSG 7855 - GDA2020 MGA Zone 55. In the raw data RedEdge-MX image file suffixes correspond to bands like so - 1: Blue, 2: Green, 3: Red, 4: NIR, 5: Red Edge. However, in the processed Orthomoasic GeoTIFF, the bands are ordered in the wavelength order (Blue, Green, Red, Red Edge, NIR).

This dataset contains UAV multispectral imagery collected as part of a field trial to test the Uncrewed Aerial System to be used for the TERN Drone project. The UAS platform is DJI Matrice 300 RTK with 2 sensors: Zenmuse P1 (35 mm) RGB mapping camera and Micasense RedEdge-MX Dual (10-band multispectral sensor). P1 imagery were geo-referenced using the onboard GNSS in M300 and the D-RTK 2 Mobile Station. P1 Camera positions were post-processed using AUSPOS. Flight conducted between 10:26 am and 10:47 am AEDT at flying height 80 m, forward and side overlaps for Zenmuse P1 set to 80%. MicaSense RedEdge-MX Dual triggered using timer mode (every second). Micasense multispectral sensor positions were interpolated using P1, following which a standard workflow was followed in Agisoft Metashape to generate this orthomosaic (resolution 5 cm). Reflectance calibration was performed using captures of the MicaSense Calibration Panel taken before the flight. The orthomosaic raster has the relative reflectance (no unit) for the 10 bands (Coastal Blue, Blue, Green 531, Green, Red 650, Red, RedEdge 705, RedEdge, RedEdge 740, NIR). The cloud optimised (COG) GeoTIFF was created using rio command line interface. The coordinate reference system of the COG is EPSG 7855 - GDA2020 MGA Zone 55. In the raw data RedEdge-MX image file suffixes correspond to bands like so - 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. However, in the processed Orthomoasic GeoTIFF, the bands 1-10 are ordered as per the Central Wavelength (Coastal Blue, Blue, Green 531, Green, Red 650, Red, RedEdge 705, RedEdge, RedEdge 740, NIR).

Low-altitude (80 and 100 meters above ground level) digital images were collected by the USGS Woods Hole Coastal and Marine Science Center (WHCMSC) Aerial Imaging and Mapping Group (AIMG) over an area of the Plum Island Estuary and Parker River National Wildlife Refuge (NWR) in Massachusetts on November 14, 2017 and March 28, 2019 to document marsh stability over time and quantify sediment movement. A 3DR Solo uncrewed aircraft systems (UAS) was equipped with either a Ricoh GR II digital camera for true color photos, which can be used to produce digital elevation models and ortho images, or a MicaSense RedEdge multispectral camera for five-banded imagery (blue, green, red, red edge, and near-infrared spectral bands), which can be used to classify vegetation. The MicaSense camera covered a smaller subsection of the same polygonal area of the marsh that the Ricoh imaged. Some photographs contain black and white targets used as ground control points (GCPs), which were surveyed by a field crew with a high-precision Real-Time Kinematic Global Positioning System. This data release includes the original images from both cameras, as well as a CSV file containing the latitude and longitude coordinates, in Universal Transverse Mercator Zone 19N referenced to the North American Datum of 1983, of the ground control points needed to complete any photogrammetry projects using the original photographs, and GPS transect points used to evaluate the photogrammetry products created.