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首页> 外文期刊>International journal of remote sensing >Quantifying landscape pattern and its change in an estuarine watershed using satellite imagery and landscape metrics
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Quantifying landscape pattern and its change in an estuarine watershed using satellite imagery and landscape metrics

机译：使用卫星图像和景观指标量化河口流域的景观格局及其变化

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Degradation of estuarine ecosystems caused by human-induced stressors justifies finding efficient ways to manage and protect these environments. This study demonstrates the utilities of satellite remote sensing, landscape metrics and multivariate statistical analysis for quantifying landscape pattern and its change in a highly sensitive estuarine watershed. The objective of this study was to identify the appropriate method for landscape pattern characterization in the Pensacola estuarine drainage area (PEDA) as part of an interdisciplinary effort to develop environmental indicators for integrated estuarine ecosystem assessment in the Gulf of Mexico. The study has several components. First, two land-use and land-cover maps were produced from satellite imagery by using hierarchical classification and spatial reclassification techniques. Then, 56 metrics of landscape composition or configuration were computed from the two maps for different spatial observational units, including the PEDA, four sub-watersheds, and three predefined buffer areas. Because some of the landscape metrics may be correlated with each other, landscape ecology principles, principal component analysis and Spearman's rank correlation analysis were used to eliminate redundant metrics. This resulted in a parsimonious set of core metrics which were not redundant but spanned the important dimensions of landscape structure and pattern. These core metrics were finally used to quantify landscape pattern for different spatial observational units at the two different years. Landscape structure has been found to be more fragmented in the Pensacola Bay watershed, around the city centres and along the coastlines, where urbanization and human economic activities are more concentrated. Over time, the landscape mosaics became more heterogeneous while the classes of patches tended to be more fragmented. Results of this study should help coastal managers in the PEDA target those areas in need of conservation and protection.
机译：人为压力源造成的河口生态系统退化证明找到有效的方法来管理和保护这些环境是合理的。这项研究展示了卫星遥感，景观度量和多元统计分析在量化高敏感河口流域中的景观格局及其变化方面的实用性。这项研究的目的是确定在彭萨科拉河口流域（PEDA）进行景观格局表征的适当方法，这是跨学科研究工作的一部分，旨在为墨西哥湾开发综合河口生态系统评估的环境指标。该研究包含几个组成部分。首先，通过使用分层分类和空间重新分类技术，从卫星图像制作了两个土地利用和土地覆盖图。然后，从两个地图针对不同的空间观测单位（包括PEDA，四个子集水区和三个预定义的缓冲区）计算出56个景观组成或配置指标。由于某些景观指标可能相互关联，因此使用景观生态学原理，主成分分析和Spearman秩相关分析来消除冗余指标。这导致了一组简约的核心指标，这些指标不是多余的，但涵盖了景观结构和格局的重要维度。这些核心指标最终用于量化两个不同年份不同空间观测单位的景观格局。在彭萨科拉湾流域，市中心附近和沿海地区，城市化和人类经济活动更加集中的地区，发现景观结构更加零散。随着时间的流逝，景观马赛克变得更加异构，而斑块的类别则趋于更加零散。这项研究的结果应帮助PEDA中的沿海管理者将需要保护和保护的地区作为目标。

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