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首页> 外文期刊>Forest Ecology and Management >Forest attribute estimation of northeastern Canadian forests using QuickBird imagery and a shadow fraction method.
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Forest attribute estimation of northeastern Canadian forests using QuickBird imagery and a shadow fraction method.

机译:使用QuickBird影像和阴影分数法估算加拿大东北部森林的森林属性。

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摘要

This study demonstrates a method to map forest stand polygons based on four forest attributes (volume, basal area, height, and crown closure) using shadow fraction values estimated from high spatial resolution QuickBird panchromatic images. The method was tested over three test sites in northeastern Canada that were largely dominated by black spruce (Picea mariana (Mill.) BSP.). The method involved four sets of procedures: (i) estimating shadow fraction from the panchromatic band of QuickBird images, (ii) generating site-specific and global regression models linking shadow fraction with each of the four forest attributes, (iii) mapping the forest attributes as a grid layer (30x30 m) for each test site using the global regression models, and (iv) generating stand polygons from the raster layers. Each test site was covered by a QuickBird satellite image with 0.6x0.6 m of spatial resolution. Between 2002 and 2004, 108 ground sample plots were acquired to develop local regression models. Goodness of fit (R2) of the linear regression models between shadow fraction and stand attributes ranged from 0.55 to 0.79. Relative root mean square error and bias estimates were, respectively, 0.32 and 0.15 for volume; 0.29 and 0.14 for basal area; 0.32 and -0.04 for crown closure; and 0.17 and 0.05 for height. Stand volume maps were produced from both the shadow fraction method and conventional forest stand maps (derived from aerial photo-interpretation) for a test site. Volume patterns were similar, and total volume for the test site differed by only 5.6% between the two maps. Lastly, the raster images derived from the shadow fraction method were used to produce a stand map following guidelines similar to those used by provincial inventory. In all cases, our results suggest that the shadow fraction method is a reliable and convenient way to map forest stand polygons and related attributes of black spruce stands of northeastern forests of Canada.
机译:这项研究演示了一种方法,该方法使用从高空间分辨率QuickBird全色图像估计的阴影分数值,基于四个森林属性(体积,基础面积,高度和树冠闭合)来映射林分多边形。该方法在加拿大东北部的三个测试地点进行了测试,其中三个地点主要是黑云杉(Mice。BSP。Picea mariana )。该方法涉及四套程序:(i)从QuickBird图像的全色带估计阴影比例;(ii)生成将阴影比例与四个森林属性中的每一个相关联的特定地点和全局回归模型;(iii)映射森林使用全局回归模型将每个测试站点的属性设置为网格层(30x30 m),并且(iv)从栅格层生成林分多边形。每个测试站点都覆盖有空间分辨率为0.6x0.6 m的QuickBird卫星图像。在2002年至2004年之间,获取了108个地面样本区以开发局部回归模型。阴影分数和林分属性之间的线性回归模型的拟合优度( R 2 )在0.55至0.79之间。相对均方根误差和偏差估计值分别为体积的0.32和0.15;基础面积为0.29和0.14; 0.32和-0.04用于表冠闭合;高度分别为0.17和0.05。林分体积图是通过阴影分数法和常规森林林分图(从航空照片解释得出)生成的,用于测试地点。体积模式相似,两个地图之间测试地点的总体积相差仅5.6%。最后,根据阴影指数法得出的栅格图像被用来制作立足图,遵循与省级清单所使用的准则相似的准则。在所有情况下,我们的结果都表明,阴影分数法是一种绘制加拿大林分多边形和加拿大东北森林黑云杉林相关属性的可靠便捷方法。

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