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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >EFFECTS OF FOREST COVER, TERRAIN, AND SCALE ON TIMBER VOLUME ESTIMATION WITH THEMATIC MAPPER DATA IN A ROCKY MOUNTAIN SITE
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EFFECTS OF FOREST COVER, TERRAIN, AND SCALE ON TIMBER VOLUME ESTIMATION WITH THEMATIC MAPPER DATA IN A ROCKY MOUNTAIN SITE

机译:森林覆盖,地形和尺度对岩石山地专题测绘数据的木材体积估计的影响

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The biophysical basis of the utility of Landsat Thematic Mapper (TM) data to estimate coniferous timber volume was assessed for a mountainous, mixed-conifer species site in southeast British Columbia. Classification of forest inventory polygons with TM data was found to be 78% accurate to within 25% of the inventory volume for stand volumes between 150 m(3) ha(-1) and 300 m(3) ha(-1), compared to an accuracy of 44% for polygons with stand volumes less than 150 m(3) ha(-1). In polygons with timber volumes less than 150 m(3) ha(-1), variations in stand density and background reflectance, identified from MEIS-3 meter imagery, impeded volume classification from TM data. Forest ground call samples and corresponding terrain data, derived from a digital terrain model, were classified according to spatially homogeneous TM data, and the resulting classes were used to analyze the sensitivity of TM data to stand characteristics. From correlation and analysis of variance of classes, TM Bands 4 and 5 were found to be strongly inversely related to stand timber volume (P = 0.01) with TM Band 5 having the greatest dynamic range. Timber volume was strongly related to the bulk reflectance characteristics of the stand including stand height, age, species composition, slope, and aspect, and could thus be estimated from the remote sensing data. A geometric-optical reflectance simulation was used to estimate the relative contributions of forest cover and terrain to stand reflectance. The effects of terrain on the relationship between TM data and volume were small relative to the effects of forest cover. The radiometric basis of these relationships was discussed in relation to simulations of stand reflectance. For stand volumes of less than 400 m(3) ha(-1), simulated stand reflectance in both TM Bands 4 and 5 was sensitive to the proportions of shadow and exposed background in the stand, but had little sensitivity at volumes greater than 400 m(3) ha(-1) TM data may be used to estimate timber volume in other sites that possess similar characteristics to the site assessed here. [References: 29]
机译:在不列颠哥伦比亚省东南部的一个山区,混合针叶树种地点,评估了Landsat Thematic Mapper(TM)数据用于估计针叶木材量的生物物理基础。对于150 m(3)ha(-1)和300 m(3)ha(-1)之间的林分体积,使用TM数据对森林清单多边形进行分类的准确度为清单体积的25%以内的78%。机架体积小于150 m(3)ha(-1)的多边形的精度为44%。在木材体积小于150 m(3)ha(-1)的多边形中,根据MEIS-3米图像确定的林分密度和背景反射率的变化会阻碍TM数据的体积分类。根据空间同质TM数据对来自数字地形模型的林地呼叫样本和相应的地形数据进行分类,然后使用所得的类别分析TM数据对林分特征的敏感性。通过分类的相关性和分析,TM波段4和5与林分木材体积(P = 0.01)强烈反相关,TM波段5具有最大的动态范围。木材体积与林分的整体反射特性密切相关,包括林分高度,年龄,物种组成,坡度和纵横比,因此可以通过遥感数据进行估算。使用几何光学反射率模拟来估算森林覆盖率和地形对反射率的相对贡献。相对于森林覆盖的影响,地形对TM数据和体积之间关系的影响较小。与林分反射率的模拟有关,讨论了这些关系的辐射基础。对于小于400 m(3)ha(-1)的林分体积,TM波段4和5中的模拟林分反射率对林分中的阴影和暴露背景的比例敏感,但在体积大于400的情况下几乎没有敏感性m(3)ha(-1)TM数据可用于估计具有与此处评估的站点相似的特征的其他站点中的木材量。 [参考:29]

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