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首页> 外文期刊>Forest Ecology and Management >Satellite-based radar mapping of British forest age and Net Ecosystem Exchange using ERS tandem coherence.
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Satellite-based radar mapping of British forest age and Net Ecosystem Exchange using ERS tandem coherence.

机译:使用ERS串联相干性的基于卫星的雷达测绘英国森林年龄和Net Ecosystem Exchange。

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摘要

A method of mapping forest age structure using satellite remote sensing data in combination with ground data is used to form an age structure map of mainland Britain's forests. Age structure is then used to demonstrate a method of calculating Net Ecosystem Exchange (NEE) for a region of forest. Synthetic Aperture Radar (SAR) coherence data provides an indication of forest biomass, which is related to forest age using forest management data at five independent locations. Coherence data is sensitive to time varying environmental effects and hence requires extensive calibration of the function relating coherence to forest age. The calibration approach appropriate in Britain makes use of the extensive ground GIS data available. Age structure information for nearly 3 million hectares of forest is generated, of which 70% is privately owned and age information is otherwise unavailable. The resulting map has a spatial resolution that can differentiate individual forest stands and provides detailed regional age and biomass estimates. Comparison of stand age estimates with ground data is has potential to provide growth rate and felling information. The age structure map is used in combination with an exemplary function relating forest age to NEE to estimate atmospheric carbon exchange for England, Scotland and Wales. This method predicts threefold higher (10.87 M t a-1) forest carbon uptake than national inventory figures. The remote sensing data also indicates age estimates that conflict with the ground data in Wales, which is explainable by the introduction of partial felling practices in this region during the time period of the coherence acquisitions..
机译:一种使用卫星遥感数据与地面数据相结合绘制森林年龄结构的方法,用于形成英国大陆森林的年龄结构图。然后使用年龄结构来演示一种计算森林区域的净生态系统交换(NEE)的方法。合成孔径雷达(SAR)相干性数据提供了森林生物量的指示,这与使用五个独立位置的森林管理数据的森林年龄有关。连贯性数据对时变环境影响敏感,因此需要对与连贯性有关的森林年龄的功能进行广泛的校准。在英国,适当的校准方法利用了广泛的地面GIS数据。生成了将近300万公顷森林的年龄结构信息,其中70%是私有财产,否则无法获得年龄信息。生成的地图具有空间分辨率,可以区分各个森林林分,并提供详细的区域年龄和生物量估计。将林分龄估计值与地面数据进行比较有可能提供增长率和伐木信息。年龄结构图与将森林年龄与NEE相关的示例性函数结合使用,以估算英格兰,苏格兰和威尔士的大气碳交换。该方法预计森林碳吸收量将比国家清单数据高三倍(10.87 M t a-1)。遥感数据还表明年龄估计与威尔士的地面数据有冲突,这可以通过在相干性采集期间在该地区引入部分砍伐实践来解释。

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