Low-altitude visible imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Indiana Surface Water 1 and 2

These orthophotos and digital surface model (DSM) were derived from low-altitude (approximately 92-m above ground surface) images collected from Unmanned Aerial System (UAS) flights over edge-of-field sites that are part of U.S. Geological Survey (USGS) Great Lakes Restoration Initiative (GLRI) monitoring. The objective of this UAS photogrammetry data collection was to provide information on the tile-drain network in individual fields with the goal of understanding already observed patterns in runoff amount and water quality from these sites. A 3DR Solo quadcopter served as the flight vehicle, flights were pre-planned using Mission Planner, and flights were flown using Tower. Geospatial data were originally in WGS84 and projected to a local coordinate system for each site. Visible color (Vis-C) imagery was collected with a Ricoh GRII as a single band. Images were collected at 2-second intervals, with a flight speed of 9 meters per second (m/s) and with approximately 75% overlap between sequential images and 70% sidelap between adjacent flight lines. Cameras used local time for visible and thermal imagery collection but Coordinated Universal Time (UTC) for multispectral imagery collection. Photogrammetry to integrate the individual images into an orthophoto and digital surface model (for visible imagery) was done using Agisoft Metashape.

Data and Resources

Field Value
accessLevel public
bureauCode {010:12}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
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catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier USGS:5ea9d9a282cefae35a21dab7
metadata_type geospatial
modified 20210511
old-spatial -84.9092, 41.2049, -84.8979, 41.2155
publisher U.S. Geological Survey
publisher_hierarchy Department of the Interior > U.S. Geological Survey
resource-type Dataset
source_datajson_identifier true
source_hash 48798761ad0b40f12d8e6a25911ce79e14d2b8e5
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-84.9092, 41.2049], [-84.9092, 41.2155], [ -84.8979, 41.2155], [ -84.8979, 41.2049], [-84.9092, 41.2049]]]}
theme {geospatial}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • agriculture
  • allen-county
  • amerigeo
  • amerigeoss
  • anthropocene
  • ckan
  • geo
  • geoss
  • great-lakes
  • holocene
  • indiana
  • national
  • north-america
  • orthophotographs
  • united-states
  • unmanned-aircraft-systems
  • usgs-5ea9d9a282cefae35a21dab7
  • visible-light-imaging
isopen False
license_id notspecified
license_title License not specified
maintainer Tanja N. Williamson
maintainer_email tnwillia@usgs.gov
metadata_created 2025-11-21T14:53:58.986410
metadata_modified 2025-11-21T14:53:58.986414
notes These orthophotos and digital surface model (DSM) were derived from low-altitude (approximately 92-m above ground surface) images collected from Unmanned Aerial System (UAS) flights over edge-of-field sites that are part of U.S. Geological Survey (USGS) Great Lakes Restoration Initiative (GLRI) monitoring. The objective of this UAS photogrammetry data collection was to provide information on the tile-drain network in individual fields with the goal of understanding already observed patterns in runoff amount and water quality from these sites. A 3DR Solo quadcopter served as the flight vehicle, flights were pre-planned using Mission Planner, and flights were flown using Tower. Geospatial data were originally in WGS84 and projected to a local coordinate system for each site. Visible color (Vis-C) imagery was collected with a Ricoh GRII as a single band. Images were collected at 2-second intervals, with a flight speed of 9 meters per second (m/s) and with approximately 75% overlap between sequential images and 70% sidelap between adjacent flight lines. Cameras used local time for visible and thermal imagery collection but Coordinated Universal Time (UTC) for multispectral imagery collection. Photogrammetry to integrate the individual images into an orthophoto and digital surface model (for visible imagery) was done using Agisoft Metashape.
num_resources 2
num_tags 18
title Low-altitude visible imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Indiana Surface Water 1 and 2