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首页> 外文期刊>Mathematical research letters: MRL >No treeline advance over the last 50 years in subarctic western and central Canada and the problem of vegetation misclassification in remotely sensed data
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No treeline advance over the last 50 years in subarctic western and central Canada and the problem of vegetation misclassification in remotely sensed data

机译:在亚科尔西部和加拿大中部的过去50年中没有三蜥,并在远程感测数据中植被错误分类问题

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摘要

In this study we examined (1) whether there has been significant tree cover change over the period 1960-2010 in a 960,000 km(2) subarctic study region in western and central Canada, and (2) the degree to which Global Forest Change (GFC) tree cover data agree with other datasets. We compared GFC tree cover to cover estimates from air photos (c. 1960), ground-level plot data (c. 1982-84), annotated low-level oblique photographs (c. 2005-09), and air photo footprints on the World Imagery Base Map (c. 2010). Tree cover changes since 1960 varied by physiographic and ecological regions. Afforestation was modest to non-significant depending on the region. We observed no evidence of northward tree migration. An increase in the areal extent of burned forests, mostly in areas south of the forest-tundra, was the largest change detected. We documented systematic discrepancies between our tree cover estimates and GFC data. GFC underestimates of tree cover typically occurred in areas of low tree density. Areas where GFC data overestimated tree cover were common, especially near the northern limits of trees and in areas dominated by dense or tall shrubs. Predictions of climate-driven vegetation response derived solely from remotely sensed data may not be reliable.
机译:在这项研究中,我们审查了(1)加拿大西部和中部960,000 km(2)米县(2)次象征学习区的960,000公里(2)次象征学习区,(2)全球森林变革的程度() GFC)树封面数据与其他数据集同意。我们比较了GFC树盖,以涵盖空气照片(C.1960)的估计,地层绘图数据(C.1982-84),注释的低级斜视(C.2005-09)和空中照片占地面积世界意象基础地图(C.2010)。自1960年以来的树木掩护变化因基本图谱和生态区域而变化。根据该地区,造林对非显着性谦虚。我们没有观察到北方树迁移的证据。燃烧森林的面积范围的增加,主要是在森林苔原南部的地区,是检测到的最大变化。我们记录了树覆盖估计和GFC数据之间的系统差异。 GFC低估树盖通常发生在低树密度的区域。 GFC数据高估树木覆盖的区域是常见的,特别是在树木的北部限制附近,并且在浓密或高灌木的区域。仅来自远程感测数据的气候驱动植被响应的预测可能不可靠。

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