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首页> 外文期刊>International journal of applied earth observation and geoinformation >Tree survey and allometric models for tiger bush in northern Senegal and comparison with tree parameters derived from high resolution satellite data
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Tree survey and allometric models for tiger bush in northern Senegal and comparison with tree parameters derived from high resolution satellite data

机译:塞内加尔北部老虎灌木的树木调查和异速测量模型,并与高分辨率卫星数据导出的树木参数进行比较

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摘要

A tree survey and an analysis of high resolution satellite data were performed to characterise the woody vegetation within a 10 × 10 km2 area around a site located close to the town of Dahra in the semiarid northern part of Senegal. The surveyed parameters were tree species, height, tree crown radius, and diameter at breast height (DBH), for which allometric models were determined. An object-based classification method was used to determine tree crown cover (TCC) from Quickbird data. The average TCC from the tree survey and the respective TCC from remote sensing were both about 3.0%. For areas beyond the surveyed areas TCC varied between 3.0% and 4.5%. Furthermore, an empirical correction factor for tree clumping was obtained, which considerably improved the estimated number of trees and the estimated average tree crown area and radius. An allometric model linking TCC to tree stem crosssectional area (CSA) was developed, which allows to estimate tree biomass from remote sensing. The allometric models for the three main tree species found performed well and had r~2-values of about 0.7-0.8.
机译:进行了一次树木调查和高分辨率卫星数据分析,以表征塞内加尔北部半干旱地区Dahra镇附近场地周围10×10 km2区域内的木质植被。调查的参数是树木种类,高度,树冠半径和胸高直径(DBH),为此确定了异速生长模型。基于对象的分类方法用于从Quickbird数据确定树冠覆盖度(TCC)。树木调查的平均TCC和遥感的TCC均约为3.0%。对于超出调查范围的区域,TCC在3.0%和4.5%之间变化。此外,获得了用于树丛的经验校正因子,这大大改善了估计的树木数量以及估计的平均树冠面积和半径。建立了将TCC链接到树茎横截面积(CSA)的异度模型,该模型可以通过遥感估算树木生物量。发现的三种主要树种的异速模型表现良好,r〜2值约为0.7-0.8。

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