Title :
Augmenting LANDSAT MSS Data with Topographic Information for Enhanced Registration And Classification
Author :
Seidel, Klaus ; Ade, Frank ; Lichtenegger, Juerg
Author_Institution :
Institute for Communication Technology, Swiss Federal Institute of Technology, Zurich, Switzerland
fDate :
7/1/1983 12:00:00 AM
Abstract :
This paper deals with problems arising in the classification of LANDSAT MSS data from rugged terrain. A digital terrain model (DTM) was found to be useful in several ways. For registration by cross-correlation, mountain ridges were extracted from both a synthetic image based on the DTM and a LANDSAT image. Information from the DTM, from thematic maps, and meteorological data were all used as ancillary data to aid in rapid snow cover determination without direct ground control in a large catchment area. In addition it is shown that the use of the DTM not only allows the assessment of relative and absolute snow distribution within given elevation zones, but also permits the extrapolation of snow cover into areas partly covered with clouds.
Keywords :
Brightness; Clouds; Data mining; Digital elevation models; Extrapolation; Meteorology; Remote sensing; Satellites; Snow; Water resources; Digital Terrain Model; LANDSAT data; Registration Techniques; Resampling; Snow Cover Determination;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.1983.350550