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True-color and multispectral reflectance orthomosaics from low-altitude aerial imagery collected during uncrewed aircraft systems (UAS) operations: Assateague Island National Seashore, Maryland, October 10-14, 2022

Dates

Date Collected
2022-10-10
Date Collected
2022-10-11
Date Collected
2022-10-12
Date Collected
2022-10-13
Date Collected
2022-10-14
Publication Date

Citation

Cramer, J.M., Evans, A.D., Brosnahan, S.M., Over, J.R., Ackerman, S.D., Lentz, E.E., and Hulslander, B., 2023, Topographic and multispectral reflectance products, aerial imagery, spectral reflectance profiles, vegetation surveys, and associated GPS data collected during uncrewed aircraft system (UAS) operations - Assateague Island National Seashore, Maryland, October 10-14, 2022: U.S. Geological Survey data release, https://doi.org/10.5066/P916LRZN.

Summary

Low-altitude (70 m above ground level) aerial images were collected over five areas of interest within the northern portion of Assateague Island National Seashore (ASIS) in mid-October, 2022. These images were collected to generate photogrammetric products (e.g. digital surface model (DSM), reflectance orthomosaic) to support science and data needs of National Park managers attempting to locate invasive Phragmites australis expansion. A DJI Matrice 600 uncrewed aircraft system (UAS) was equipped with a MicaSense Altum-PT multispectral camera and a Ricoh GRII true-color RGB camera to collect images simultaneously with sufficient overlap for photogrammetric processing. Ground control points (GCPs), black and white targets visible in [...]

Contacts

Attached Files

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ASIS_Ortho_browse3.png
“True-color and false color composite multispectral reflectance orthomosaics”
thumbnail 5.57 MB image/png

“True-color orthomosaic”
1.23 GB application/zip

“Multispectral orthomosaic”
8.01 GB application/zip
2022030FA_ASIS_Orthomosaics_Metadata.json
“Metadata in mdJSON format.”
40.93 KB application/json

Purpose

True-color and multisprectral reflectance orthomosaics were created to aid in the identification and mapping of invasive Phragmites australis by providing color and reflectance information for creating vegetation indices and calculating texture metrics, which are used in machine learning classification workflows.

Rights

Neither the U.S. Government, the Department of the Interior, nor the USGS, nor any of their employees, contractors, or subcontractors, make any warranty, express or implied, nor assume any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, nor represent that its use would not infringe on privately owned rights. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by the U.S. Geological Survey in the use of these data or related materials. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier 10.5066/P916LRZN

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