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利用协同无人机近红外和可见光特征区分大学校园的碳汇和碳源。

Differentiating carbon sinks versus sources on a university campus using synergistic UAV NIR and visible signatures.

机构信息

Department of Climate Change, Kyungpook National University, 80, University Road, Buk-gu, Daegu, 702-701, South Korea.

Department of Geography, Kyungpook National University, 80, University Road, Buk-gu, Daegu, 702-701, South Korea.

出版信息

Environ Monit Assess. 2018 Oct 18;190(11):652. doi: 10.1007/s10661-018-7003-x.

Abstract

This research proposes a framework for quantitatively differentiating carbon sinks versus sources, utilizing synergistic NIR (near-infrared) and visible signatures acquired from UAV (unmanned aerial vehicle). UAV NIR and visible imagery acquired at 70-m flying altitude identified the major types of carbon sinks versus sources, such as vegetation and constructed surfaces (e.g., road and buildings) for representative section of the university campus at the level of almost field-survey standpoint. Our findings show that the NIR reflectance for the sink was distributed in the range of 9.46-44.65%, whereas the emission sources had shown NIR response, ranging from 16.74 to 22.67%. The visible green reflectance showed a significantly higher range for emission sources (23.6-52.3%) than the sink (13.50-26.74%). The emission source in visible red showed a wider range of reflectance (17.05-38.49%), while the sink was observed in the narrow range of 9.36-17.75%. It was confirmed that synergistically combining NIR and visible signatures offers a viable method for measuring and comparing campus-wide carbon sinks versus sources due to extremely hyper-spatial resolution. It is anticipated that this research will be used as a valuable reference to investigate hyper-localized carbon sources and sinks in university campuses as cities within cities.

摘要

本研究提出了一个利用无人机(UAV)获取的协同近红外(NIR)和可见特征定量区分碳汇与碳源的框架。在 70 米飞行高度获取的 UAV NIR 和可见图像,从植被和人造表面(如道路和建筑物)等方面,识别出校园内具有代表性区域的主要碳汇与碳源类型,其水平几乎达到实地调查的程度。我们的研究结果表明,汇的近红外反射率分布在 9.46-44.65%之间,而发射源的近红外响应则在 16.74-22.67%之间。可见的绿色反射率显示出,与碳汇(13.50-26.74%)相比,发射源(23.6-52.3%)的范围明显更高。发射源在可见的红色中显示出更宽的反射率范围(17.05-38.49%),而碳汇则在狭窄的范围内(9.36-17.75%)。证实了由于具有极高的空间分辨率,协同利用近红外和可见特征是测量和比较校园范围内碳汇与碳源的可行方法。预计这项研究将作为调查城市内校园内超本地化碳源和碳汇的有价值的参考依据。

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