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  • 标题:Using Remote Sensing to Support Different Approaches to Identify Agave (Agave Tequilana Weber) Crops
  • 本地全文:下载
  • 作者:J. G. Flores Garnica ; R. Reich ; E. Talavera Zuñiga
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2008
  • 卷号:XXXVII-B8
  • 页码:941-944
  • 出版社:Copernicus Publications
  • 摘要:There are several studies on tequila agave (Agave tequilana Weber variety blue) regarding its physiology, diseases, and environmental conditions. However, there are not documented studies on the use of satellite technology to locate it. The experience reported does not give details on processes, and techniques. Moreover, the validation criteria are not reported, therefore it is not possible make serious conclusions. Based on this, Jalisco state government (through FIPRODEFO) started a project of satellite imagery classification, in order to identify, locate, and evaluate agave plantations. This project is developed in collaboration with the Tequila Administration Council (TAC), which is providing field information. The current goals are been focused on: a) an analysis of TAC database (land crop area, location, agave age, etc.); and b) development of a geographical information system to link ground information with satellite imagery. Based on this information, several algorithms had been tested, through different techniques, such as no supervised classifications, supervised classifications. Spatial modeling has been also compared, based mainly on the development of regression and classification trees (CART) technology. The average accuracy was around 70%, which is not enough for the TAC requirements. Therefore, new approaches are proposed to be tested, based on alternative classification strategies, and the use of other satellite sensors (e.g. SPOT or Quick Bird)
  • 关键词:Agave tequilana; Tequila; Unsupervised classification; Landsat; Jalisco
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