基于Sentinel-2A岷江上游地表生物量反演与植被特征分析

发布时间：2018-06-16 13:33

本文选题：Sentinel-A + 岷江上游　；参考：《科技导报》2017年21期

【摘要】：Sentinel-2A光学遥感卫星具有很高的空间分辨率、13个多光谱波段、独特的"红边"波段、大宽幅同时数据免费,为区域植被生态环境特征信息提取分析提供全新的解决方案。以岷江上游流域为研究区,选取欧洲空间局(ESA)发布的Sentinel-2A数据,通过对卫星参数、数据类型、格式等级、预处理方法进行分析,利用ESA的SNAP软件,提取岷江上游流域的L2A级数据和场景分类图;在生成的L2A数据基础上结合SNAP软件中生物物理量参数处理模块,分别计算反演出岷江上游的叶面积指数、光合有效辐射吸收率、叶绿素含量、冠层含水量和植被覆盖度5类生物量指标和5个县域内生物物理量均值与标准差,利用叶面积指数、光合有效辐射吸收率和叶绿素含量指标诠释岷江上游5个县域内植被生长及健康状态,再结合场景分类结果对岷江上游植被特征进行区位分析,该研究为区域生态环境定量评估提供了快捷高效的参考依据。
[Abstract]:Sentinel-2A optical remote sensing satellite has high spatial resolution, 13 multispectral bands, unique "red edge" band and free data in large and wide band, which provides a new solution for the extraction and analysis of regional vegetation eco-environmental characteristics. Taking the upper reaches of Minjiang River as the study area, the Sentinel-2A data published by the European Space Agency (ESA) were selected. By analyzing the satellite parameters, data types, format grades and preprocessing methods, the SNAP software of ESA was used. The L2A data and scene classification map of the upper reaches of Minjiang River were extracted, and the leaf area index and photosynthetic effective radiation absorptivity of the upper reaches of Minjiang River were calculated respectively based on the generated L2A data and the processing module of biophysical parameters in SNAP software. Chlorophyll content, canopy water content and vegetation coverage were five kinds of biomass indexes and the mean and standard deviation of biophysical quantities in five counties. The indexes of photosynthetic effective radiation absorption and chlorophyll content were used to interpret the vegetation growth and health status in 5 counties in the upper reaches of Minjiang River, and then the location analysis of vegetation characteristics in the upper reaches of Minjiang River was carried out based on the result of scene classification. This study provides a fast and efficient reference for quantitative assessment of regional ecological environment.
【作者单位】：西南科技大学环境与资源学院;
【基金】：国家自然科学基金项目(41201541) 四川省教育厅青藏高原经济社会与文化发展研究中心项目(14sd0163);四川省教育厅革命老区发展研究中心项目(SLQ2016C-14)
【分类号】：X87

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