首页> 外文会议>Canadian Symposium on Remote Sensing and ASPRS Specialty Conference >MAPPING FOREST INVENTORY ATTRIBUTES ACROSS CONIFEROUS, DECIDUOUS AND MIXEDWOOD STAND TYPES IN THE NORTHWEST TERRITORIES FROM HIGH SPATIAL RESOLUTION QUICKBIRD SATELLITE IMAGERY
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MAPPING FOREST INVENTORY ATTRIBUTES ACROSS CONIFEROUS, DECIDUOUS AND MIXEDWOOD STAND TYPES IN THE NORTHWEST TERRITORIES FROM HIGH SPATIAL RESOLUTION QUICKBIRD SATELLITE IMAGERY

机译:从高空间分辨率Quickbird卫星图像上绘制针叶,落叶和混合木材的森林库存属性,横跨西北地区的西北地区

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Conducting vegetation inventories that describe the state of forests in the Northwest Territories (NWT) is challenging due to the large geographic extent of forest resources that are not easily accessible. The federal (Natural Resources Canada, Canadian Space Agency) and territorial (Government of NWT) governments recently completed a satellite-based land cover map of the forested areas of the NWT in the Earth Observation for the Sustainable Development of Forests (EOSD) project with Landsat Thematic Mapper data. Within the framework of the EOSD land cover map, this project is modeling and mapping four forest inventory attributes (stand height, crown closure, stand volume and aboveground biomass) from panchromatic and multispectral Quickbird satellite imagery. The image derivatives from Quickbird used to derive inventory attributes depends on whether the stand types were predominately comprised of coniferous, deciduous or mixedwood species. For coniferous species, image tree shadows derived from the panchromatic Quickbird image were used to compute the shadow fraction, of which image estimates of the four inventory attributes were within 10 to 15 percent of independent field measurements. Due to differences in crown morphology between coniferous and deciduous stands, image shadow fraction was not a good predictor of the forest inventory attributes for deciduous and mixedwood species. A first-order texture measure based on variance from the panchromatic image resulted in image models for deciduous species with adjusted R{sup}2 values that ranged from 0.50 to 0.62. Estimating forest structure from mixedwood stands were more difficult, and required a combination of both panchromatic and multispectral image bands as estimators of the forest inventory variables.
机译:由于森林资源的巨大地理范围不易进入,进行描述西北地区(NWT)森林状态的植被库存是挑战。联邦(自然资源加拿大,加拿大航天局)和领土(NWT政府)政府最近完成了森林森林地区森林地区的卫星陆地覆盖地图,以获得森林(EOSD)项目的可持续发展Landsat主题映射器数据。在EOSD Land Rock Map的框架内,该项目正在从全景和多光谱Quickbird卫星图像建模和映射四个森林库存属性(支架高度,冠关闭,站立体积和地上生物量)。来自用于导出库存属性的QuickBird的图像衍生物取决于支架类型是否主要由针叶树,落叶或混合木材种组成。对于针叶树种类来说,使用从平面QuickBird图像导出的图像树阴影来计算暗影分数,其中四个库存属性的图像估计在独立场测量的10%至15%以内。由于针叶和落叶的冠状形态的差异,图像阴影分数不是落叶和混合木材物种的森林库存属性的良好预测因子。基于来自Panchromic图像的方差的一阶纹理度量导致具有调整的R {SUP} 2值的落齿种模型,其范围为0.50至0.62。估算来自厚木材站立的森林结构更加困难,并且需要一组Panchromatic和多光谱图像频带的组合作为森林库存变量的估计。

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