Small unoccupied aircraft systems (UAS) are now often used for collecting aerial visible image data and creating 3D digital surface models (DSM) that incorporate terrain and dense vegetation. Lightweight thermal sensors provide another sensor option for generation of sub meter resolution aerial thermal infrared orthophotos that can be used to infer hydrogeological processes. UAS-based sensors allow for the rapid and safe survey of groundwater discharge areas, often present in inaccessible, boggy, and/or dangerous terrain. Visible light and thermal infrared image data were collected March 2018 and March 2019, respectively, at Tidmarsh Farms, a former commercial cranberry bog located in coastal Massachusetts, USA (41°54'17.6"N 70°34'17.4"W), where a comprehensive stream and wetland restoration was performed. Wetland restoration actions at Tidmarsh Farms were made possible by a landowner decision to enroll in the U.S. Department of Agriculture (USDA) Natural Resources Conservation Service (NRCS) Wetland Reserve Easement Program. The Massachusetts Department of Fish and Game’s Division of Ecological Restoration (MDER) later became the lead manager for the design, permitting, and implementation of stream and wetland restoration actions on the site. In 2017, after the completion of the largest freshwater wetland restoration in Massachusetts to date, the property was purchased by the Massachusetts Audubon Society who in 2018 opened the Tidmarsh Wildlife Sanctuary to the public.

The U.S. Geological Survey collected low-altitude airborne thermal infrared data and visual imagery via a multirotor, small unoccupied aircraft system deployed from the northern bank of Oh-be-joyful Creek and adjacent to the Peeler fault, approximately 6 kilometers northwest of the town of Crested Butte, in Gunnison National Forest, Colorado, on August 17, 2017. Thermal infrared still images were collected in jpg and radiometric tiff formats, and non-radiometric thermal infrared video was collected. The radiometric thermal infrared still images were compiled automatically into a larger stitched image (orthomosaic). Visual imagery was collected in jpg format, and the images were compiled automatically into a larger stitched image (orthomosaic). Structure from Motion techniques were applied to the visual imagery to derive a time-specific digital elevation model (DEM).

The U.S. Geological Survey collected low-altitude (typically 200-350 ft als) airborne thermal infrared, multispectral, and visual imagery data via a multirotor, small unoccupied aircraft system deployed along beaver-impacted sections of the East River and Coal Creek stream corridors, near the town of Crested Butte, CO. Visual imagery was collected in jpg format, and the images were compiled automatically into a larger stitched image (orthomosaic). Structure from Motion techniques were also applied to the visual imagery to derive time-specific digital surface models (DSM). Thermal infrared still images were collected in jpg and radiometric tiff formats, while multispectral data were collected in tif format. Although not done yet here, multispectral and thermal data can be compiled into orthomosaics and DSMs in a similar manner to visible light imagery.

The U.S. Geological Survey collected low-altitude (typically 200-350 ft als) airborne thermal infrared, multispectral, and visual imagery data via a multirotor, small unoccupied aircraft system deployed along beaver-impacted sections of the East River and Coal Creek stream corridors, near the town of Crested Butte, CO. Visual imagery was collected in jpg format, and the images were compiled automatically into a larger stitched image (orthomosaic). Structure from Motion techniques were also applied to the visual imagery to derive time-specific digital surface models (DSM). Thermal infrared still images were collected in jpg and radiometric tiff formats, while multispectral data were collected in tif format. Although not done yet here, multispectral and thermal data can be compiled into orthomosaics and DSMs in a similar manner to visible light imagery.

The U.S. Geological Survey collected low-altitude (typically 200-350 ft als) airborne thermal infrared, multispectral, and visual imagery data via a multirotor, small unoccupied aircraft system deployed along beaver-impacted sections of the East River and Coal Creek stream corridors, near the town of Crested Butte, CO. Visual imagery was collected in jpg format, and the images were compiled automatically into a larger stitched image (orthomosaic). Structure from Motion techniques were also applied to the visual imagery to derive time-specific digital surface models (DSM). Thermal infrared still images were collected in jpg and radiometric tiff formats, while multispectral data were collected in tif format. Although not done yet here, multispectral and thermal data can be compiled into orthomosaics and DSMs in a similar manner to visible light imagery.

This page provides access to infrared, multispectral, visual image data, and derivative products collected along a beaver-impacted section of the East River from August 12-17, 2017 and July 28-August 2, 2018. This page may be updated in the future with additional data and analysis related to drone-based imaging.

This page provides access to infrared, multispectral, visual image data, and derivative products collected along a beaver-impacted section of the East River from August 12-17, 2017 and July 28-August 2, 2018. This page may be updated in the future with additional data and analysis related to drone-based imaging.

This page provides access to visual image data and derivative products collected along a beaver-impacted section of Coal Creek on July 31 of 2018. This page may be updated in the future with additional data and analysis related to drone-based imaging.

This page provides access to visual image data and derivative products collected along a beaver-impacted section of Coal Creek on July 31 of 2018. This page may be updated in the future with additional data and analysis related to drone-based imaging.

As part of their Watershed Function Scientific Focus Area (SFA), Berkeley Lab and its collaborating institutions (e.g., USGS) have established a "Community Watershed" in the headwaters of the East River near Crested Butte, Colorado (USA), designed to quantify processes impacting the ability of mountainous systems to retain and release water, nutrients, carbon, and metals. The ongoing research spans a range of scales from hillslope to catchment to basin, with surface water and groundwater linking multiple geomorphic compartments. A major goal of this SFA research is to generate a transferable understanding of mountain hillslope to river dissolved nutrient, carbon, and metals transport, integrating extensive and novel field observations with fully coupled numerical models. The mountain headwater Oh-Be-Joyful Creek is part of the East River SFA located approximately 6 km northwest of the town of Crested Butte and is a key tributary of the Slate River. The creek is generally incised into bedrock (predominantly Mancos Shale) and many steeper sections have little to no bed sediment. Banks range from bedrock walls to avalanche and rock slide deposits. At an elevation of approximately 2900 m A.S.L., the regional Peeler fault intersects Oh-Be-Joyful Creek from the south creating a preferential groundwater discharge zone. This data release presents various water quality data collected along the Oh-be-joyful Creek from the main channel, groundwater discharge points, and small tributaries, including data collected during a constant rate dye injection near the Peeler fault zone.