Proceedings of the Symposium on Global and Environmental Monitoring: Proceedings of the Symposium on Global and Environmental Monitoring

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Persistent identifier:: 856665355

Title:: Proceedings of the Symposium on Global and Environmental Monitoring

Sub title:: techniques and impacts ; September 17 - 21, 1990, Victoria Conference Centre, Victoria, British Columbia, Canada

Year of publication:: 1990

Place of publication:: Victoria, BC

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 856665355

Language:: English

Document type:: Multivolume work

Volume

Persistent identifier:: 856669164

Title:: Proceedings of the Symposium on Global and Environmental Monitoring

Sub title:: techniques and impacts; September 17 - 21, 1990, Victoria Conference Centre, Victoria, British Columbia, Canada

Scope:: XIV, 912 Seiten

Year of publication:: 1990

Place of publication:: Victoria, BC

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 856669164

Illustration:: Illustrationen, Diagramme, Karten

Signature of the source:: ZS 312(28,7,1)

Language:: English

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: International Society for Photogrammetry and Remote Sensing, Commission of Photographic and Remote Sensing Data

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2016

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [WA-2 AGRICULTURE]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: GRASS RESOURCES CLASSIFICATION AND EVALUATION BASED ON MULTI-DATA AND MULTI-CRITERION IN THE SOUTH OF CHINA. Sun Jiabing , Li Deren, Lu Jian , Guan Zequn , Ma Jiping

Document type:: Multivolume work

Structure type:: Chapter

193 GRASS RESOURCES CLASSIFICATION AND EVALUATION BASED ON MULTI-DATA AND MULTI-CRITERION IN THE SOUTH OF CHINA Sun Jiabing , Li Deren Lu Jian , Guan Zequn , Ma Jiping ( Wuhan Technical University of Surveying and Mapping ) ABSTRACT The computer classification of remote sensed data has made great progress and plays an important role in resources investiga tion. Unfortunately, the quantity and reliability of recognizable classes of ground objects are in many cases very limited, if only the spectral features of image are used. A better way is to simul taneously use many kinds of non-remote sensing data, such as DTM, geographic features, soil types, climate, relief, vertical and regional distribution of plants etc. , with remote sensing images. It can improve both the capability of recognition of ground object and the reliability of computer classification efficiently. Because non-remote sensing data are useally expressed in the form of maps,we must registrate them with remote sensed images and compound them with false colour image accurately.In this paper two methods of registration and compound are discussed . The first one is to compound the precisely rectified TM images with various kinds of map data, which is called MATCHING.The obtained photo map production can be used as the basis for thematic map of classifi cation results.The disadvantage of this method is that the radiant intensity will be degenerated after resampling. For this reason we use the second method called REVERSE-MATCHING which uses a reverse mathing function to registrate and compound the non-remote sensing data from map to original TM image for computer identification and classification. Both methods are combinedly used to investigate the grass re sources in area of Lichuan county of Hubei province. This investi gation will provide a scientific basis for the local government to develop and utilize grass resources and to plan and manage stock- farm. The investigation procedure , the important results and their accuracy and reliability are given in this paper.

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