Vertical artifacts in high-resolution WorldView-2 and WorldView-3 satellite imagery

Satellite sensor artifacts can negatively impact the interpretation of satellite data. One such artifact is linear features in imagery which can be caused by a variety of sensor issues and can present as either wide, consistent features called banding, or as narrow, inconsistent features called striping. This study used high-resolution data from DigitalGlobe's WorldView-3 satellite collected at Lake Okeechobee, Florida, on 30 August 2017. Primarily designed as a land sensor, this study investigated the impact of vertical artifacts on both at-sensor radiance and a spectral index for an aquatic target. This dataset is not publicly accessible because: NGA Nextview license agreements prohibit the distribution of original data files from WorldView due to copyright. It can be accessed through the following means: National Geospatial Intelligence Agency contract details prevent distribution of Maxar data.

Questions regarding Nextvew can be sent so NGANextView_License@nga.mil. Questions regarding the NASA Commercial Data Buy can be sent to yvonne.ivey@nasa.gov. Format: high-resolution data from DigitalGlobe's WorldView-3 satellite.

This dataset is associated with the following publication: Coffer, M., P. Whitman, B. Schaeffer, V. Hill, R. Zimmerman, W. Salls, M. Lebrasse, and D. Graybill. Vertical artifacts in high-resolution WorldView-2 and WorldView-3 satellite imagery of aquatic systems. INTERNATIONAL JOURNAL OF REMOTE SENSING. Taylor & Francis, Inc., Philadelphia, PA, USA, 43(4): 1199-1225, (2022).

Data and Resources

This dataset has no data

Field Value
accessLevel public
bureauCode {020:00}
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
identifier https://doi.org/10.23719/1522911
license https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html
modified 2020-07-20
programCode {020:000}
publisher U.S. EPA Office of Research and Development (ORD)
publisher_hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
references {https://doi.org/10.1080/01431161.2022.2030069}
resource-type Dataset
source_datajson_identifier true
source_hash 5114f464d45685455a2ff2e212fd7c7bfff4ccbf
source_schema_version 1.1
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • AmeriGEO
  • AmeriGEOSS
  • CKAN
  • GEO
  • GEOSS
  • National
  • North America
  • United States
  • banding
  • maximum-chlorophyll-index
  • striping
  • time-delay-integration
  • worldview-2
  • worldview-3
isopen False
license_id other-license-specified
license_title other-license-specified
maintainer Blake Schaeffer
maintainer_email schaeffer.blake@epa.gov
metadata_created 2025-09-23T14:50:47.038520
metadata_modified 2025-09-23T14:50:47.038525
notes Satellite sensor artifacts can negatively impact the interpretation of satellite data. One such artifact is linear features in imagery which can be caused by a variety of sensor issues and can present as either wide, consistent features called banding, or as narrow, inconsistent features called striping. This study used high-resolution data from DigitalGlobe's WorldView-3 satellite collected at Lake Okeechobee, Florida, on 30 August 2017. Primarily designed as a land sensor, this study investigated the impact of vertical artifacts on both at-sensor radiance and a spectral index for an aquatic target. This dataset is not publicly accessible because: NGA Nextview license agreements prohibit the distribution of original data files from WorldView due to copyright. It can be accessed through the following means: National Geospatial Intelligence Agency contract details prevent distribution of Maxar data. Questions regarding Nextvew can be sent so NGANextView_License@nga.mil. Questions regarding the NASA Commercial Data Buy can be sent to yvonne.ivey@nasa.gov. Format: high-resolution data from DigitalGlobe's WorldView-3 satellite. This dataset is associated with the following publication: Coffer, M., P. Whitman, B. Schaeffer, V. Hill, R. Zimmerman, W. Salls, M. Lebrasse, and D. Graybill. Vertical artifacts in high-resolution WorldView-2 and WorldView-3 satellite imagery of aquatic systems. INTERNATIONAL JOURNAL OF REMOTE SENSING. Taylor & Francis, Inc., Philadelphia, PA, USA, 43(4): 1199-1225, (2022).
num_resources 0
num_tags 14
title Vertical artifacts in high-resolution WorldView-2 and WorldView-3 satellite imagery