基于SIR-C/X-SAR图像的北方森林碳动态

K. Bergen, M. Dobson, Leland Pierce
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引用次数: 1

摘要

生态学中一个关键的大规模问题是陆地植被中的碳储量。遥感项目最有效地满足了在大范围内确定这一需求,目前正在NASA密歇根森林超级站点使用SIR-C/X-SAR图像进行测试。本研究有三个目标。首先是估算该地点活植被中的碳储量。二是测量与森林干扰(砍伐和间伐)有关的碳平衡变化。第三个是确定碳年增长率(NPP)。生物量被映射到图像域中,通过应用异速生长关系,结果表明,12.82/spl times/10/sup 9/ kg的碳被存储在图像中表示的测试点部分。从分类图像中提取了SRL-1和SRL-2之间的砍伐空地,这一分析显示,估计有300公顷的森林或6.02/spl倍/10/sup / kg碳被清除。对地面数据进行了年增长分析;目前正在处理SIR-C/X-SAR图像,以证明传感器对该参数的灵敏度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Carbon dynamics in northern forests using SIR-C/X-SAR imagery
A key large-scale question in ecology is the amount of carbon stored in terrestrial vegetation. The need to determine this over large regions is most efficiently met by remote sensing programs and is currently being tested using SIR-C/X-SAR imagery at the NASA Michigan Forests supersite. There are three goals in the present study. The first is to estimate carbon stored in living vegetation at the site. The second is to measure changes in carbon balance related to forest disturbance (clearcutting and thinning). The third is to determine carbon gain from annual growth (NPP). Biomass has been mapped in the image domain, and by applying an allometric relationship, results show that 12.82/spl times/10/sup 9/ kg of carbon are stored in the portion of the test site represented in the imagery. Clearcuts which were made between SRL-1 and SRL-2 have been extracted from the classified imagery and this analysis shows an estimated 300 ha of forest or 6.02/spl times/10/sup 6/ kg of carbon were removed. Ground data have been analyzed for annual growth; SIR-C/X-SAR images are currently being processed to demonstrate the sensor's sensitivity to this parameter.
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