Validating the use of object-based image analysis to map commonly recognized landform features in the United States. Issue 5 (3rd September 2019)
- Record Type:
- Journal Article
- Title:
- Validating the use of object-based image analysis to map commonly recognized landform features in the United States. Issue 5 (3rd September 2019)
- Main Title:
- Validating the use of object-based image analysis to map commonly recognized landform features in the United States
- Authors:
- Arundel, Samantha T.
Sinha, Gaurav - Abstract:
- ABSTRACT: The U.S. Geological Survey (USGS) National Geospatial Program (NGP) seeks to i) create semantically accessible terrain features from the pixel-based 3D Elevation Program (3DEP) data, and ii) enhance the usability of the USGS Geographic Names Information System (GNIS) by associating boundaries with GNIS features whose spatial representation is currently limited to 2D point locations. Geographic object-based image analysis (GEOBIA) was determined to be a promising method to approach both goals. An existing GEOBIA workflow was modified and the resulting segmented objects and terrain categories tested for a strategically chosen physiographic province in the mid-western US, the Ozark Plateaus. The chi-squared test of independence confirmed that there is significant overall spatial association between terrain categories of the GEOBIA and GNIS feature classes. Contingency table analysis also suggests strong category-specific associations between select GNIS and GEOBIA classes. However, 3D visual analysis revealed that GEOBIA objects resembled segmented regions more than they did individual landform objects, with their boundaries often failing to correspond to match what people would likely perceive as landforms. Still, objects derived through GEOBIA can provide initial baseline landscape divisions that can improve the efficiency of more specialized feature extraction methods.
- Is Part Of:
- Cartography and geographic information science. Volume 46:Issue 5(2019)
- Journal:
- Cartography and geographic information science
- Issue:
- Volume 46:Issue 5(2019)
- Issue Display:
- Volume 46, Issue 5 (2019)
- Year:
- 2019
- Volume:
- 46
- Issue:
- 5
- Issue Sort Value:
- 2019-0046-0005-0000
- Page Start:
- 441
- Page End:
- 455
- Publication Date:
- 2019-09-03
- Subjects:
- GNIS -- object-based image analysis -- GEOBIA -- landform -- terrain feature -- automated mapping
Cartography -- Periodicals
Geographic information systems -- Periodicals
526 - Journal URLs:
- http://www.tandfonline.com/ ↗
http://www.tandfonline.com/toc/tcag20/current ↗ - DOI:
- 10.1080/15230406.2018.1526652 ↗
- Languages:
- English
- ISSNs:
- 1523-0406
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3057.660000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11023.xml