PC based GIS land use capability evaluation
Toshiaki Hashimoto, Shunji Murai
Institute of Industrial Science, Univ. of Tokyo
7-22, Roppoongi, Minato-ku, Tokyo 106
Norihisa Ohno
N.C.M Co. Ltd.
4-33-22, Hakusan,
Bunkyo-Ku, Tokyo 112
Japan
Abstract
Land use capability can be evaluated by the superposition of some kinds of geographic informations such as land uses. Soil conditions, slope gradients, etc. This procedure can be automatically carried out by a computer when the geographic informations are digitized. This paper deals with the system developed by the authors for land use capability classification which runs on a personal computer. The contents processed by this system are the land use capabilities of flood damage risk, slope failure risk and the selection of suitable land for agriculture or forestry.
Introduction
Land use capability evaluations had been carried out by manual superposition of some kinds of existing maps. This procedure was very time consuming and had the probability that the results depend on the skillfulness of interpreters. But the problems are resolved by the existence of a computer which has the capability of fast data handling as well as powerful information system. Computer processing has another advantage of the ability to generate new data from existing data such as slope gradient data derived from elevation data.
On the other hand, the processing ability of a personal computer has been so improved that a large volume of data like remote sensing data can be managed on it. The usage of a personal computer leads to the achievement of a simple and cheap system for GIS.
Evaluation Technique
- General
The evaluation is based on the superposition of some kinds of different factors which are independently categorized into same ranks. The factors which would affect the objects to be evaluated should be selected.
Fig. 1 shows the objects and their factors in this system. It also shows the data sources for factors. This paper introduces the details of the flood damage risk and the case of developing paddy fields in the selection of suitable land for agriculture.
The factors selected are related with natural land condition and not so related with agro-economical condition, so the results means only the evaluations from the view point of natural aspects.
Fig. 1. Objects, factors and data sources
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Presented at the tenth Asian Conference on Remote Sensing held in Kuala Lumpur, Malaysia. November 23-29, 1989
