利用现场数据和 Sentinel-2 卫星图像绘制阿拉斯加 Izembek 泻湖的鳗草覆盖面和生物量图

David C Douglas, Michael D Fleming, Vijay P Patil, David H Ward
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摘要

首先从 2016 年 7 月 1 日和 2020 年 8 月 14 日收集的两幅哨兵-2 号卫星图像中分别创建光谱独特等级的地图,然后根据实地数据将有关鳗草状况的信息归入光谱等级,从而生成了阿拉斯加伊泽姆贝克泻湖的两幅鳗草(Zostera marina)地图。利用与每个光谱类别在空间上相交的地面数据摘要,生成了描述各种鳗草指标(如覆盖率和模型生物量)的地图。通过比较 2016 年和 2020 年哨兵-2 的鳗草分布范围图以及 2006 年大地遥感卫星地图,发现 2006 年至 2020 年期间鳗草数量可能减少的区域主要集中在伊森贝克泻湖中部,而 2016 年至 2020 年期间生物量可能下降的区域主要集中在南部。利用卫星图像和同步地面数据监测伊泽姆贝克泻湖的鳗草状况,可对不同时期的情况进行比较,但在设计和解释变化检测分析时,应考虑潮位、生长季节物候和时空共存准确性的影响。
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Mapping Eelgrass Cover and Biomass at Izembek Lagoon, Alaska, Using In-situ Field Data and Sentinel-2 Satellite Imagery
Two eelgrass (Zostera marina) maps of Izembek Lagoon, Alaska, were generated by first creating maps of spectrally unique classes from each of two Sentinel-2 satellite images collected on July 1, 2016, and August 14, 2020, then attributing the spectral classes with information about eelgrass conditions based on field data. Maps depicting various eelgrass metrics, such as percent cover and modeled biomass, were generated using summaries of the ground data that spatially intersected each spectral class. Comparisons between the 2016 and 2020 Sentinel-2 maps of eelgrass distributional extent, as well as a 2006 Landsat map, indicated that areas where eelgrass presence may have declined between 2006 and 2020 were most prevalent in the central part Izembek Lagoon, while areas of possible biomass decline were more prevalent in the southern part between 2016 and 2020. Monitoring eelgrass conditions at Izembek Lagoon with satellite imagery and concurrent ground data provides capabilities for making comparisons over time, but the influences of tide levels, growing season phenology, and spatiotemporal co-registration accuracy should be considered when designing and interpreting change detection analyses.
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