Lead Detection and Mapping with Reference to Relationships between Scale, Sensor Characteristics, Surface Conditions and Atmospheric Properties

During the first two years of the project, empirical studies of scale relationships in the retrieval of sea ice lead statistics have been undertaken, as have modeling investigations of atmospheric influences on the satellite signal. Additionally, we have developed statistical models that describe th...

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Bibliographic Details
Main Authors: Key, J., Stone, R. S., Maslanik, J. A., Ellefsen, E.
Other Authors: COOPERATIVE INST FOR RESEARCH IN ENVIRONMENTAL SCIENCE BOULDER CO
Format: Text
Language:English
Published: 1992
Subjects:
Ice
Online Access:http://www.dtic.mil/docs/citations/ADA250437
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA250437
Description
Summary:During the first two years of the project, empirical studies of scale relationships in the retrieval of sea ice lead statistics have been undertaken, as have modeling investigations of atmospheric influences on the satellite signal. Additionally, we have developed statistical models that describe the scaling properties of leads. The empirical studies have been based primarily on comparisons within and between Landsat and AVHRR imagery, while the atmospheric models have been specific to the AVHRR. Submarine sonar data have been used in the statistical model development. Specific accomplishments to date include: The parameterizations of clouds, haze, and atmospheric chemical constituents in the LOWTRAN 7 radiative transfer model have been reviewed. Atmospheric temperature and humidity profiles for the arctic have been constructed from Soviet ice island data and are being used in the model. Resampling methods have been tested on simulated, AVHRR, and Landsat images, as have the effects of digital enhancements. Procedures for the retrieval of lead statistics have been developed and applied to Landsat imagery successively degraded to more coarse resolutions.