Imagery data for the Vegetation Mapping Inventory Project of Big Bend National Park

This reference contains the imagery data used in the completion of the baseline vegetation inventory project for the NPS park unit. Orthophotos, raw imagery, and scanned aerial photos are common files held here.

To complete the automated phase, CTI subcontracted with Photo Science (based in Lexington, KY) to create a BIBE landform layer and a drainage/wash layer. Photo Science reviewed and acquired all National Elevation Dataset (NED) 10-meter DEMs for the project area and mosaiced them into a seamless coverage. The DEM data was then manipulated to create the following derived spatial layers: aspect, slope, three hillshade datasets (different azimuth angles), a contour range layer, and a compound topographic index (or wetness index) that models water flow and accumulation. Similarly, Photo Science also acquired the 2012 National Agriculture Imagery Program (NAIP) imagery for the entire project area as high-resolution (1-meter pixels) digital ortho quarter quadrangles (DOQQs). The NAIP DOQQs were mosaiced and resampled from 1-meter to 10-meter pixels to match the DEM resolution. Erdas Imagine software was then used to derive a normalized difference vegetation index (NDVI) and a near infrared (NIR) band texture layer from the imagery using a 9x9 moving window. During the planning and coordination phase, CTI staff reviewed all available digital imagery for its potential use as the BIBE basemap. The most promising and easy to access was the data catalog found on the Texas Natural Resource Information System (TNRIS) website. Navigating to the orthoimagery-statewide web page, the list of existing imagery covering BIBE included multiple NAIP products. The corresponding 2010 and 2012 NAIP 1-meter DOQQs for BIBE were downloaded and used during the early planning stages of this project and to produce field maps and interim products.

Data e Risorse

Campo Valore
accessLevel public
bureauCode {010:24}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
dataQuality true
identifier NPS_DataStore_2271615
issued 2016-01-01
landingPage https://irma.nps.gov/DataStore/Reference/Profile/2271615
modified 2016-01-01
old-spatial -103.782082,28.9715347,-102.839378,29.6948528
programCode {010:118,010:119}
publisher National Park Service
references {https://irma.nps.gov/DataStore/Reference/Profile/2271615}
resource-type Dataset
source_datajson_identifier true
source_hash c5ef60f5398cbb9f51e666fefdefac9d4e3cc4c7
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-103.782082, 28.9715347], [-103.782082, 29.6948528], [-102.839378, 29.6948528], [-102.839378, 28.9715347], [-103.782082, 28.9715347]]]}
temporal 2012-01-01/2016-01-01
theme {Imagery}
Gruppi
  • AmeriGEOSS
  • National Provider
  • North America
Tag
  • accuracy-assessment
  • amerigeo
  • amerigeoss
  • botanical-survey
  • ckan
  • classification
  • geo
  • geodatabase
  • geoss
  • habitat-types
  • imagery
  • national
  • national-vegetation-classification
  • north-america
  • nvc
  • nvcs
  • plots
  • releve
  • remote-sensing
  • united-states
  • usnvcs
  • vegetation
  • vegetation-inventory
  • vegetation-map
  • vegetation-mapping
isopen False
license_id notspecified
license_title License not specified
maintainer NPS IRMA Help
maintainer_email irma@nps.gov
metadata_created 2025-11-22T22:42:11.409802
metadata_modified 2025-11-22T22:42:11.409806
notes This reference contains the imagery data used in the completion of the baseline vegetation inventory project for the NPS park unit. Orthophotos, raw imagery, and scanned aerial photos are common files held here. To complete the automated phase, CTI subcontracted with Photo Science (based in Lexington, KY) to create a BIBE landform layer and a drainage/wash layer. Photo Science reviewed and acquired all National Elevation Dataset (NED) 10-meter DEMs for the project area and mosaiced them into a seamless coverage. The DEM data was then manipulated to create the following derived spatial layers: aspect, slope, three hillshade datasets (different azimuth angles), a contour range layer, and a compound topographic index (or wetness index) that models water flow and accumulation. Similarly, Photo Science also acquired the 2012 National Agriculture Imagery Program (NAIP) imagery for the entire project area as high-resolution (1-meter pixels) digital ortho quarter quadrangles (DOQQs). The NAIP DOQQs were mosaiced and resampled from 1-meter to 10-meter pixels to match the DEM resolution. Erdas Imagine software was then used to derive a normalized difference vegetation index (NDVI) and a near infrared (NIR) band texture layer from the imagery using a 9x9 moving window. During the planning and coordination phase, CTI staff reviewed all available digital imagery for its potential use as the BIBE basemap. The most promising and easy to access was the data catalog found on the Texas Natural Resource Information System (TNRIS) website. Navigating to the orthoimagery-statewide web page, the list of existing imagery covering BIBE included multiple NAIP products. The corresponding 2010 and 2012 NAIP 1-meter DOQQs for BIBE were downloaded and used during the early planning stages of this project and to produce field maps and interim products.
num_resources 4
num_tags 25
title Imagery data for the Vegetation Mapping Inventory Project of Big Bend National Park