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Landscape scale quantification of wildlife habitat using hierarchical classification techniques.

机译：使用分级分类技术对野生生物栖息地进行景观规模量化。

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Quantification of forage availability is necessary for the management of large herbivores and their habitats. Creating detailed species maps covering large extents is not possible using field surveys, aerial photography, or satellite imagery singly, and effective methods that combine these approaches have not been developed. The objective of this research was to determine the feasibility and accuracy of using a hierarchical scaling approach to map moose forage. The approach entailed mapping and classifying plant patches using ground surveys coupled with fine resolution photography. These classifications then provided training sets for supervised and subpixel classifications of Landsat imagery to generate landscape scale maps of forages. The major forages, willow, alder, and dwarf birch, were spectrally distinct in fall imagery. Subpixel classifications of Landsat imagery produced superior results compared to supervised classifications. This hierarchical approach provides more accurate assessments of food availability for wildlife than those currently used by land management agencies.

机译：大型草食动物及其栖息地的管理必须对草料进行量化。单独使用野外勘测，航拍或卫星图像无法创建涵盖大范围的详细物种图，并且尚未开发出结合这些方法的有效方法。这项研究的目的是确定使用分级缩放方法映射驼鹿饲料的可行性和准确性。该方法需要使用地面勘测和高分辨率摄影对植物斑进行制图和分类。然后，这些分类为Landsat影像的监督和亚像素分类提供了训练集，以生成草料的景观比例图。在秋季图像中，主要草料（柳树，al木和矮桦树）在光谱上是不同的。与监督分类相比，Landsat影像的亚像素分类产生了更好的结果。与土地管理机构当前使用的方法相比，这种分层方法可以更准确地评估野生动植物的食物供应。

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作者
Walton, Kelly M.;
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作者单位

University of Alaska Anchorage.;

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授予单位 University of Alaska Anchorage.;
学科 Biology Ecology.;Remote Sensing.;Agriculture Forestry and Wildlife.
学位 M.S.
年度 2009
页码 46 p.
总页数 46
原文格式 PDF
正文语种 eng
中图分类生态学（生物生态学）;森林生物学;遥感技术;
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入库时间 2022-08-17 11:38:30

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Landscape scale quantification of wildlife habitat using hierarchical classification techniques.

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