Lead Detection and Mapping with Reference to Relationships Between Scale, Sensor Characteristics, Surface Conditions and Atmospheric Properties
Abstract
During the three project years, 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 include: atmospheric temperature and humidity profiles for the Arctic have been constructed from Soviet ice island data and were used in the construction of three-season imagery, and nearest-neighbor resampling has been shown to be the most effective in maintaining the spectral characteristics of leads while spatial interpolation (e.g., bilinear) retains their spatial structure; empirical relationship between pixel size and lead width have been determined; procedures for the retrieval of lead statistics have been developed and applied to Landsat and ERS-1 SAR data; and the relationship between 'apparent' lead widths measured along a transect
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 1993
- Accession Number
- ADA275321
Entities
People
- J. A. Maslanik
- Joshua A. Key
- R. S. Stone