DocumentCode :
484217
Title :
Remote Sensing Retrieval of Substrate Bearing Strength from Hyperspectral Imagery at the Virginia Coast Reserve (VCR´07) Multi-Sensor Campaign
Author :
Bachmann, Charles M. ; Nichols, C.R. ; Montes, Marcos J. ; Li, Rong-Rong ; Woodward, Patrick ; Fusina, Robert A. ; Chen, Wei ; Mishra, Vimal ; Kim, Wonkook ; Monty, James ; McIlhany, Kevin ; Kessler, Ken ; Korwan, Daniel ; Miller, David ; Bennert, Ellen ;
Author_Institution :
Remote Sensing Div., Naval Res. Lab., Washington, DC
Volume :
3
fYear :
2008
fDate :
7-11 July 2008
Abstract :
In September 2007, NRL, in partnership with multiple institutions, undertook a combined airborne multi-sensor remote sensing campaign and in situ validation effort. The experiment took place at the Virginia coast reserve (VCR´07), an NSF funded long term ecological research site (LTER) on the Eastern shore of Virginia [10]. The study area comprised an 1880 km2 region consisting of barrier islands, shallow water lagoons, and mainland marsh systems. This paper describes the results of a subset of experiments conducted during the campaign to demonstrate the retrieval of soil bearing strength directly from hyperspectral remote sensing on the VCR barrier islands.
Keywords :
remote sensing; seafloor phenomena; soil; AD 2007 09; Eastern Shore of Virginia; Long Term Ecological Research Site; Virginia Coast Reserve; airborne multi-sensor remote sensing campaign; barrier islands; hyperspectral imagery; in situ spectral measurement; mainland marsh systems; shallow water lagoons; soil bearing strength; substrate bearing strength; Hyperspectral imaging; Hyperspectral sensors; Image retrieval; Laboratories; Moisture measurement; Optical sensors; Reflectivity; Remote sensing; Size measurement; Soil; Virginia Coast Reserve; barrier islands; beaches; dunes; dynamic cone penetrometer; dynamic deflection modulus; grain size; hyperspectral; light-weight deflectometer; liquid water absorption; mudflats; salt marshes; salt pannes; substrate bearing strength;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
Type :
conf
DOI :
10.1109/IGARSS.2008.4779281
Filename :
4779281
Link To Document :
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