Acta Geographica Sinica ›› 1996, Vol. 51 ›› Issue (3): 266-271.doi: 10.11821/xb199603009

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REMOTE SENSING INFORMATION MODELS OF GEOGRAPHY

Ma Ainai   

  1. The Institute of RS and GIS,Peking University,Beijing 100871
  • Received:1995-04-01 Revised:1995-11-01 Online:1996-05-15 Published:1996-05-15

Abstract: Remote sensing,GIS,GES.which are excellent methods and GRSIMs which are geographyphysics-mathematics models to study geographical phenomena and theory,have to develop in advance of mathematics in the modern geography,Remote Sensing,GIS,GES,came to computerize,so GRSIMs must be computerized.GRSIMs propel the geography forward from the spherical structure to the independent factors,It is the same as biology forward from the cellular structure to molecular biology,Certainly,different branch of science has different characters and different developmental steps.Right now,high technology-space technique and computer technique bring the opportunity for devdoping geo-science and astronomy.Remote sensing,GIS GES,GPS(Global Positioning System),telemetry.and satellite communications are going to everywhere,especially In geograPhy,In recent decade,we have founded new way of geographical theory which is established on the independent factors and is named as Geographical Remotes Sensing Information Models (GRSIM).There are two kinds of GRSIMs,One is based on the independent varables and the other is based on the independent knowledge of geography,Based on the independent varables,GRSIMs are pure quantity caculation,for example,debris flow veloslty equation,concentration of suspended sediment,soil moisture,soil erosion,thermal diffusion,etc.Based on the independent knowledge,GRSIMs are combined by quality and quantity with geographical information coded models (GICM).For example,soil erosion in small scale1:5 000 000 maps,etc.Based on DOS and WINDOWS,GIS software have been established on micro-computer which is named MCGIS. The MCGIS is a new design with Remote Sensing Information Models,

Key words: independent factors, remote sensing information models, geographical information coded models, geographical information system, geographic expert system (GES)

CLC Number: 

  • P9