Journal of The Remote Sensing Society of Japan
Online ISSN : 1883-1184
Print ISSN : 0289-7911
ISSN-L : 0289-7911
Digital Terrain Model Composed of Elevation in Pixel Size of Landsat MSS Data Its Preparation Procedure and Utility Values
Hajime Nishikawa
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1984 Volume 4 Issue 1 Pages 75-81_3

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Abstract
It has been recognized that better accuracy is obtained by not only to analize two-dimentionally represented image from LANDSAT MSS data but also to considering with geographical informations. Elevation data to be combined with LANDSAT MSS image must be the mesh data of the area on the earth surface corresponding to the size of a pixel in LANDSAT MSS data.
Presently availavle national land digital information prepared by National Land Agency is 250m mesh and it is too large to represent LANDSAT MSS image in three dimention.
Terefore, Remote Sensing Center of Nihon University to which the author belong has developed about 75m mesh national land digital data ; that is the whole areas of Tokyo Metropolis, Kanagawa Prefecture, Yamanashi Prefecture, Saitama Prefecture, Ibaraki Prefecture and Chiba Prefecture and a portion of Shizuoka Prefecture. As the example which pixel grid size elevation data sized LANDSAT MSS data is usefull for geographical information, the author takes this opportunity to describe the preparation procedure of our avove-mentioned data and illustrate some example ; the first one is perspective image of the whole area of Chiba Prefecture showing the location of steep slope in danger of landside pointed out by the prefectural authorities. The second one is image of directions of mountainside slope in Hayakawa watershed of Fujigawa water system in Yamanashi Prefecture. The third one is the image of Izu Peninsula including Mt. Fuji is the highest in Japan, derived from its LANDSAT MSS image combined which elevation data and etc..
The author suggests that the analysis of combined LANDSAT MSS data and pixel grid size elevation data of LANDSAT MSS is available for the field of investigation of water accidents, investigation of earth resourses and geographical analysis.
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© The Remote Sensing Society of Japan
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