Radar vision in the mapping of forest biodiversity from space
Radar vision in the mapping of forest biodiversity from space
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DOI：
10.1038/s41467-019-12737-x
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发表时间：
2019-10-18
影响因子：
16.6
通讯作者：
Mueller, Joerg
中科院分区：
文献类型：
--
作者：
Bae, Soyeon;Levick, Shaun R.;Mueller, Joerg
遥感领域的最新进展提供了急需的大规模栖息地结构时空信息，这对生物多样性保护至关重要。在这里，我们研究了新发射的卫星雷达系统 (Sentinel-1) 绘制中欧五个温带森林地区 12 个类群生物多样性地图的潜力。我们表明，雷达对栖息地结构的敏感性与机载激光扫描（ALS）相似，后者是当前森林结构测量的黄金标准。我们的生物多样性不同方面的模型表明，雷达的性能与 ALS 一样；对于表示组合组成的第一个非度量多维标度轴，ALS 和雷达在 12 个分类单元上的中值 R-2 分别为 0.51 和 0.57。我们进一步证明了雷达数据的预测能力，并根据鸟类和腐木甲虫的物种组成进行了外部验证。通过遥感建立新的全区域生物多样性监测需要将雷达数据与分层和标准化收集的当地物种数据相结合。
Recent progress in remote sensing provides much-needed, large-scale spatio-temporal information on habitat structures important for biodiversity conservation. Here we examine the potential of a newly launched satellite-borne radar system (Sentinel-1) to map the biodiversity of twelve taxa across five temperate forest regions in central Europe. We show that the sensitivity of radar to habitat structure is similar to that of airborne laser scanning (ALS), the current gold standard in the measurement of forest structure. Our models of different facets of biodiversity reveal that radar performs as well as ALS; median R-2 over twelve taxa by ALS and radar are 0.51 and 0.57 respectively for the first non-metric multidimensional scaling axes representing assemblage composition. We further demonstrate the promising predictive ability of radar-derived data with external validation based on the species composition of birds and saproxylic beetles. Establishing new area-wide biodiversity monitoring by remote sensing will require the coupling of radar data to stratified and standardized collected local species data.