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

@article{Bachmann2008RemoteSR,
  title={Remote Sensing Retrieval of Substrate Bearing Strength from Hyperspectral Imagery at the Virginia Coast Reserve (VCR'07) Multi-Sensor Campaign},
  author={Charles M. Bachmann and Charles Reid Nichols and Marcos J. Montes and Rong-Rong Li and Patrick Woodward and Robert A. Fusina and Wei Chen and Vimal Mishra and Wonkook Kim and James Monty and Kevin L. McIlhany and Ken Kessler and Daniel R. Korwan and William David Miller and Ellen Bennert and Geoffrey B. Smith and David B. Gillis and Jon Sellars and Christopher E. Parrish and Arthur Schwarzschild and Barry Truitt},
  journal={IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium},
  year={2008},
  volume={3},
  pages={III - 55-III - 58}
}
  • C. BachmannC. Nichols B. Truitt
  • Published 7 July 2008
  • Environmental Science, Mathematics
  • IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium
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… 

Figures from this paper

Coastal characterization from hyperspectral imagery: An intercomparison of retrieval properties from three coast types

The Naval Research Laboratory has conducted three remote sensing campaigns in regions which included barrier island, coral, and mangrove coastal characteristics, suggesting the need to develop models specific to a particular coast type.

Very Shallow Water Bathymetry Retrieval from Hyperspectral Imagery at the Virginia Coast Reserve (VCR'07) Multi-Sensor Campaign

This study focused on the validation of a near infra-red feature, corresponding to a local minimum in absorption (and therefore a local peak in reflectance), which can be correlated directly to bathymetry with a high degree of confidence.

Bathymetry Retrieval from Hyperspectral Imagery in the Very Shallow Water Limit: A Case Study from the 2007 Virginia Coast Reserve (VCR'07) Multi-Sensor Campaign

We focus on the validation of a simplified approach to bathymetry retrieval from hyperspectral imagery (HSI) in the very shallow water limit (less than 1–2 m), where many existing bathymetric LIDAR

A Field Portable Hyperspectral Goniometer for Coastal Characterization

During an airborne multi-sensor remote sensing experiment at the Virginia Coast Reserve (VCR) Long Term Ecological Research (LTER) site in June 2011 (VCR '11), first measurements were taken with the

Geodatabase development to support hyperspectral imagery exploitation

Geodatabase development for coastal studies conducted by the Naval Research Laboratory is essential to support the exploitation of hyperspectral imagery and may be used to enhance littoral data archives that are sparse.

Talisman-Saber 2009 Remote Sensing Experiment

Abstract : This report describes the data collected during one of a series of NRL remote sensing and calibration and validation (Cal/Val) campaigns, providing data and information for the development

NRL Hyperspectral Imagery Trafficability Tool (HITT): Software andSpectral-Geotechnical Look-up Tables for Estimation and Mapping of Soil Bearing Strength from Hyperspectral Imagery

Abstract : This report provides details of a new hyperspectral exploitation tool for developing trafficability special maps from hyperspectral imagery. This new tool, known as the NRL Hyperspectral

The Design and Implementation of GRIT-T: RIT's Next-generation Field-Portable Goniometer System

Various field portable goniometers have been designed to capture in-situ measurements of a material’s bi-directional reflectance distribution function (BRDF), each with a specific scientific purpose

References

SHOWING 1-8 OF 8 REFERENCES

Very Shallow Water Bathymetry Retrieval from Hyperspectral Imagery at the Virginia Coast Reserve (VCR'07) Multi-Sensor Campaign

This study focused on the validation of a near infra-red feature, corresponding to a local minimum in absorption (and therefore a local peak in reflectance), which can be correlated directly to bathymetry with a high degree of confidence.

Separability of VNIR/SWIR reflectance signatures of prepared soil samples: airborne hyperspectral vs. field measurements

To better understand the capabilities of hyperspectral imaging spectrometers, a number of organizations planned and carried out a data collection exercise at a desert site in the southwestern United

ESTIMATING WITHIN-FIELD VARIATIONS IN SOIL PROPERTIES FROM AIRBORNE HYPERSPECTRAL IMAGES

The ability of hyperspectral image (HSI) data to provide estimates of soil electrical conductivity and soil fertility levels without requiring extensive field data collection was investigated. The

A credit assignment approach to fusing classifiers of multiseason hyperspectral imagery

A credit assignment approach to decision-based classifier fusion is developed and applied to the problem of land-cover classification from multiseason airborne hyperspectral imagery, using a smoothed estimated reliability measure (SERM) in the output domain of the classifiers.

Estimation of Soil Properties Using Hyperspectral VIS/IR Sensors

Knowledge of soil properties and processes are crucial to the understanding of the terrestrial hydrologic cycle and the functioning of terrestrial ecosystems. In this paper, we present the current

Kessler DCP: Dynamic Cone Penetrometer, K-100 User’s Manual and Diskette, Item No. K010

  • Springfield, VA, Kessler Soils Engineering Products, Inc.

Operating Instructions, Light Drop Weight Tester ZFG 2000

  • Stendal, Germany: Gerhard Zorn Mechanische Werkstatten, 2005. III - 58
  • 2005