Accession Number : ADA130648

Title :   Multi-Temporal Analysis of Landsat Imagery for Bathymetry.

Descriptive Note : Final rept. 6 Jun 81-30 Sep 82,

Corporate Author : ENVIRONMENTAL RESEARCH INST OF MICHIGAN ANN ARBOR APPLICATIONS DIV

Personal Author(s) : Tanis,Fred J ; Hieber,Ross ; Thomson,Fred J

PDF Url : ADA130648

Report Date : May 1983

Pagination or Media Count : 101

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)

Descriptors :   *Hydrographic surveying, *Bathymetry, Digital simulation, Remote detectors, Reconnaissance satellites, Computer applications, Algorithms, Multiband spectral reconnaissance, Oceans, Depth

Subject Categories : Physical and Dynamic Oceanography
      Unmanned Spacecraft

Distribution Statement : APPROVED FOR PUBLIC RELEASE