Remote Sensing Retrieval of Substrate Bearing Strength from Hyperspectral Imagery at the Virginia Coast Reserve (VCR'07) Multi-Sensor Campaign

التفاصيل البيبلوغرافية
العنوان: Remote Sensing Retrieval of Substrate Bearing Strength from Hyperspectral Imagery at the Virginia Coast Reserve (VCR'07) Multi-Sensor Campaign
المؤلفون: Patrick Woodward, Marcos J. Montes, Rong-Rong Li, C R Nichols, Charles M. Bachmann, David Gillis, Robert A. Fusina, G. B. Smith, Ellen Bennert, Barry R. Truitt, K. Kessler, Jon Sellars, Wei Chen, Kevin L. McIlhany, J. G. Monty, A. Schwarzschild, Vimal Mishra, Wonkook Kim, Christopher Parrish, Daniel Korwan, D. Miller
المصدر: IGARSS (3)
بيانات النشر: IEEE, 2008.
سنة النشر: 2008
مصطلحات موضوعية: Shore, Hydrology, geography, geography.geographical_feature_category, Marsh, Barrier island, Remote sensing (archaeology), Salt marsh, Hyperspectral imaging, Environmental science, Bearing capacity, Substrate (marine biology), Remote sensing
الوصف: 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.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::ce1a5133532515f209f9342b8b7b8616
https://doi.org/10.1109/igarss.2008.4779281
رقم الأكسشن: edsair.doi...........ce1a5133532515f209f9342b8b7b8616
قاعدة البيانات: OpenAIRE