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Article: Zoning land for agricultural protection by the integration of remote sensing, GIS, and cellular automata

TitleZoning land for agricultural protection by the integration of remote sensing, GIS, and cellular automata
Authors
Issue Date2001
PublisherAmerican Society for Photogrammetry and Remote Sensing. The Journal's web site is located at http://www.asprs.org/publications/pers
Citation
Photogrammetric Engineering And Remote Sensing, 2001, v. 67 n. 4, p. 471-477 How to Cite?
AbstractZoning strategic agricultural land for protection has become important in reducing agricultural land loss in rapidly growing areas. In this paper, a constrained CA model based on the integration of remote sensing, GIS, and cellular automata (CA) techniques was developed to overcome the limitations of the existing methods commonly used by planners in zoning land for agricultural protection. Remote sensing data were used to calculate the normalized difference vegetation index (NDVI) which was the initial map used for the model. The factors of land suitability and geometry were embedded in the model to facilitate the rational allocation of land for agricultural protection. The CA model was implemented within a geographic information system which provided useful constraint information and modeling environment. "Grey cells" were defined in the CA model to improve modeling accuracy. The model has been tested in the Pearl River Delta, one of the fastest growing areas in China.
Persistent Identifierhttp://hdl.handle.net/10722/176279
ISSN
2015 Impact Factor: 1.288
2015 SCImago Journal Rankings: 0.830
References

 

DC FieldValueLanguage
dc.contributor.authorLi, Xen_US
dc.contributor.authorYeh, AGOen_US
dc.date.accessioned2012-11-26T09:08:12Z-
dc.date.available2012-11-26T09:08:12Z-
dc.date.issued2001en_US
dc.identifier.citationPhotogrammetric Engineering And Remote Sensing, 2001, v. 67 n. 4, p. 471-477en_US
dc.identifier.issn0099-1112en_US
dc.identifier.urihttp://hdl.handle.net/10722/176279-
dc.description.abstractZoning strategic agricultural land for protection has become important in reducing agricultural land loss in rapidly growing areas. In this paper, a constrained CA model based on the integration of remote sensing, GIS, and cellular automata (CA) techniques was developed to overcome the limitations of the existing methods commonly used by planners in zoning land for agricultural protection. Remote sensing data were used to calculate the normalized difference vegetation index (NDVI) which was the initial map used for the model. The factors of land suitability and geometry were embedded in the model to facilitate the rational allocation of land for agricultural protection. The CA model was implemented within a geographic information system which provided useful constraint information and modeling environment. "Grey cells" were defined in the CA model to improve modeling accuracy. The model has been tested in the Pearl River Delta, one of the fastest growing areas in China.en_US
dc.languageengen_US
dc.publisherAmerican Society for Photogrammetry and Remote Sensing. The Journal's web site is located at http://www.asprs.org/publications/persen_US
dc.relation.ispartofPhotogrammetric Engineering and Remote Sensingen_US
dc.titleZoning land for agricultural protection by the integration of remote sensing, GIS, and cellular automataen_US
dc.typeArticleen_US
dc.identifier.emailYeh, AGO: hdxugoy@hkucc.hku.hken_US
dc.identifier.authorityYeh, AGO=rp01033en_US
dc.description.naturelink_to_OA_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0035088799en_US
dc.identifier.hkuros59671-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0035088799&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume67en_US
dc.identifier.issue4en_US
dc.identifier.spage471en_US
dc.identifier.epage477en_US
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridLi, X=34872691500en_US
dc.identifier.scopusauthoridYeh, AGO=7103069369en_US

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