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Article: Zoning land for agricultural protection by the integration of remote sensing, GIS, and cellular automata
Title | Zoning land for agricultural protection by the integration of remote sensing, GIS, and cellular automata |
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Authors | |
Issue Date | 2001 |
Publisher | American 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? |
Abstract | Zoning 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 Identifier | http://hdl.handle.net/10722/176279 |
ISSN | 2023 Impact Factor: 1.0 2023 SCImago Journal Rankings: 0.309 |
References |
DC Field | Value | Language |
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dc.contributor.author | Li, X | en_US |
dc.contributor.author | Yeh, AGO | en_US |
dc.date.accessioned | 2012-11-26T09:08:12Z | - |
dc.date.available | 2012-11-26T09:08:12Z | - |
dc.date.issued | 2001 | en_US |
dc.identifier.citation | Photogrammetric Engineering And Remote Sensing, 2001, v. 67 n. 4, p. 471-477 | en_US |
dc.identifier.issn | 0099-1112 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/176279 | - |
dc.description.abstract | Zoning 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.language | eng | en_US |
dc.publisher | American Society for Photogrammetry and Remote Sensing. The Journal's web site is located at http://www.asprs.org/publications/pers | en_US |
dc.relation.ispartof | Photogrammetric Engineering and Remote Sensing | en_US |
dc.title | Zoning land for agricultural protection by the integration of remote sensing, GIS, and cellular automata | en_US |
dc.type | Article | en_US |
dc.identifier.email | Yeh, AGO: hdxugoy@hkucc.hku.hk | en_US |
dc.identifier.authority | Yeh, AGO=rp01033 | en_US |
dc.description.nature | link_to_OA_fulltext | en_US |
dc.identifier.scopus | eid_2-s2.0-0035088799 | en_US |
dc.identifier.hkuros | 59671 | - |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-0035088799&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.volume | 67 | en_US |
dc.identifier.issue | 4 | en_US |
dc.identifier.spage | 471 | en_US |
dc.identifier.epage | 477 | en_US |
dc.publisher.place | United States | en_US |
dc.identifier.scopusauthorid | Li, X=34872691500 | en_US |
dc.identifier.scopusauthorid | Yeh, AGO=7103069369 | en_US |
dc.identifier.issnl | 0099-1112 | - |