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  • 标题:Computer Classified Landsat Data Used as a Forest Stratifier
  • 本地全文:下载
  • 作者:L. FOX ; K. MAYER
  • 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:1980
  • 卷号:XXIII Part B7 + B8
  • 页码:308-315
  • 出版社:Copernicus Publications
  • 摘要:The majority of the Landsat classifications performed prior to1975-76 contained limited information on the forest environment . Generalcategories such as; conifer/non-conifer or forest/non-forest did not providethe detailed information needed for intensive forest stratificationand associated qround plot inventory. Developments in guided clusteringtechniques have increased the potential for more detailed classifications .Conifer species oroupings, veqetative cover classes and tree size classescan be discriminated with accuracies rangino from 83 to 91 percent .Classifications oriented to timber volume determination show the potentialfor providinq the stratification necessary to carry out a stratifiedrandom sampling design on the ground.
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