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Ground reference data and photos collected during uncrewed aircraft systems (UAS) operations - Dog Head Marsh at South Cape Beach, Mashpee, MA, October 7 - 8, 2021

Dates

Date Collected
2021-10-08
Publication Date

Citation

Cramer, J.M., Scholl, V.M., Evans, A.D., Ackerman, S.D., Pendleton, E.A., Brosnahan, S.M., Nick, S.K., and Boggess, A.A., 2024, Topographic and multispectral reflectance products, aerial imagery, ground spectra, vegetation, and associated GPS data collected during uncrewed aircraft system (UAS) operations - Dog Head Marsh at South Cape Beach, Mashpee, MA, October 7-8, 2021: U.S. Geological Survey data release, https://doi.org/10.5066/P9W8JS7P.

Summary

The purpose of this field data collection was to test and compare the OceanInsight HDX Mini Spectrometer as an accessible alternative against the more expensive ASD Fieldspec for collecting ground-based hyperspectral reflectance profiles for landcover analysis. The data collection took place in Dog Head Marsh and South Cape Beach within the Waquoit Bay National Estuarine Research Reserve (WBNERR). The hyperspectral profiles were collected side-by-side with both field-spectrometers using comparable sensor collection settings for various ground cover samples. The terrain and vegetation type of these sample were described as well as surveyed using Real Time Kinematic Global Positioning System (RTK-GPS). This data was collected within [...]

Contacts

Attached Files

Click on title to download individual files attached to this item.

2021033FA_DogHead_GroundRef.csv
“Vegetation survey and GPS data for ground reference survey.”
22.11 KB text/csv
2021033FA_GroundRef_Image_Locs.csv
“CSV containing image location data.”
26.3 KB text/csv
2021033FA_DogHead_GroundRef_DataDictionary.csv
“Data dictionary describing ground reference dataset.”
3.42 KB text/csv
2021033FA_GroundRef_Browse.jpg thumbnail 2.07 MB image/jpeg
2021033FA_GroundRef_metadata.json
“Metadata in JSON format”
32.09 KB application/json

Purpose

Vegetation surveys were done to provide ground-reference vegetation data for training machine learning models for imagery classification as well as for validation of results.

Rights

Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier 10.5066/P9W8JS7P

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