Integration of radar and Landsat imagery for structural analysis
Abstract
Radar imagery contains information on texture, structural orientation, and topography that augments data interpretable from Landsat Multispectral Scanner and Thematic Mapper data. Integrating data available from these two remote-sensing systems results in a more complete interpretation of surface features related to subsurface structures. Examples of improved interpretation emphasize the importance of radar's variable illumination azimuth for recognizing structural trends in addition to those seen on Landsat data. Also, textural detail and increased resolution from radar imagery improve the interpretability of fracture patterns and fracture density, and high resolution and variable illumination angle enhance topographic detail and recognition of structurally controlled topography. Tonal variations in the visible-near infrared, seen on Landsat data, can be related to fracture density, structurally controlled soil moisture conditions, and structurally controlled topography. Integrating the surface expression of structural features on the two types of data results in better maps of the surface expression of subsurface structures. Examples presented illustrate applications of such integrated analysis. Data from Landsat and radar sensors can be integrated visually, during the interpretation process, or digitally. Both approaches have advantages; visual integration is more practical for regional analysis, and digital integration can be applied in high-graded areas.
- Authors:
- Publication Date:
- Research Org.:
- Exxon Product Research Co., Houston, TX
- OSTI Identifier:
- 5268761
- Report Number(s):
- CONF-860624-
Journal ID: CODEN: AAPGB
- Resource Type:
- Conference
- Journal Name:
- Am. Assoc. Pet. Geol., Bull.; (United States)
- Additional Journal Information:
- Journal Volume: 70:5; Conference: American Association of Petroleum Geologists annual meeting, Atlanta, GA, USA, 15 Jun 1986
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 02 PETROLEUM; GEOLOGIC STRUCTURES; INFRARED SURVEYS; REMOTE SENSING; NATURAL GAS DEPOSITS; EXPLORATION; PETROLEUM DEPOSITS; LANDSAT SATELLITES; GEOLOGIC DEPOSITS; GEOPHYSICAL SURVEYS; MINERAL RESOURCES; RESOURCES; SATELLITES; SURVEYS; 020200* - Petroleum- Reserves, Geology, & Exploration
Citation Formats
Dodge, R L. Integration of radar and Landsat imagery for structural analysis. United States: N. p., 1986.
Web.
Dodge, R L. Integration of radar and Landsat imagery for structural analysis. United States.
Dodge, R L. 1986.
"Integration of radar and Landsat imagery for structural analysis". United States.
@article{osti_5268761,
title = {Integration of radar and Landsat imagery for structural analysis},
author = {Dodge, R L},
abstractNote = {Radar imagery contains information on texture, structural orientation, and topography that augments data interpretable from Landsat Multispectral Scanner and Thematic Mapper data. Integrating data available from these two remote-sensing systems results in a more complete interpretation of surface features related to subsurface structures. Examples of improved interpretation emphasize the importance of radar's variable illumination azimuth for recognizing structural trends in addition to those seen on Landsat data. Also, textural detail and increased resolution from radar imagery improve the interpretability of fracture patterns and fracture density, and high resolution and variable illumination angle enhance topographic detail and recognition of structurally controlled topography. Tonal variations in the visible-near infrared, seen on Landsat data, can be related to fracture density, structurally controlled soil moisture conditions, and structurally controlled topography. Integrating the surface expression of structural features on the two types of data results in better maps of the surface expression of subsurface structures. Examples presented illustrate applications of such integrated analysis. Data from Landsat and radar sensors can be integrated visually, during the interpretation process, or digitally. Both approaches have advantages; visual integration is more practical for regional analysis, and digital integration can be applied in high-graded areas.},
doi = {},
url = {https://www.osti.gov/biblio/5268761},
journal = {Am. Assoc. Pet. Geol., Bull.; (United States)},
number = ,
volume = 70:5,
place = {United States},
year = {Thu May 01 00:00:00 EDT 1986},
month = {Thu May 01 00:00:00 EDT 1986}
}