Multi-Temporal Analysis of Landsat Imagery for Bathymetry.
Abstract
A multi-temporal processing procedure has been developed for the Defense Mapping Agency/HTC Digital Image Processing System (DIPS). The purpose of this procedure is to extract hydrographic information from multi-data Landsat and other types of remote sensing data. Water depth variations from multiple remote sensing observations can be analyzed to identify the sources of variations. When such variations can be removed from the data the multi-temporal data set can yield an improved estimate of water depth. Six available Landsat scene dates had been previously processed to provide an independent set of predicted water depths for the Bahamas Photobathymetric Calibration Area. Geographical locations of ship survey soundings were used to extract pixel locations from the six registered scene dates. Relationships between these predicted water depths and the measured depths were analyzed using standard statistical methods. Results aided the development of processing procedures and a best estimator of water depth for Landsat multi-temporal data. Multi-temporal processing (MTP) software was written to perform similar operations on the DIPS. Preprocessing steps are suggested to remove unwanted spatial noise from multi-date Landsat data. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- May 01, 1983
- Accession Number
- ADA130648
Entities
People
- Fred J. Tanis
- Fred J. Thomson
- Ross Hieber
Organizations
- Environmental Research Institute of Michigan