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首页> 外文期刊>ICES Journal of Marine Science >Objective stratification and sampling-effort allocation of ground-truthing in benthic-mapping surveys
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Objective stratification and sampling-effort allocation of ground-truthing in benthic-mapping surveys

机译：底盘测绘中地面实物的客观分层和取样工作量分配

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摘要

The application of statistical procedures for objective stratification of sampling effort during map ground-truthing is presented. Marine benthic mapping is usually undertaken in twp stages: a remotely sensed acoustic survey followed by ground-truthing to confirm ground-type and habitat classification. The objective of this study was to assess the application of optimum allocation analysis (OAA) through the use of remotely sensed data to direct expensive ground-truthing sampling effort. At an offshore site in the Irish Sea, classification of remotely sensed data, namely bathymetry and slope angle, generated six predicted ground-types. Calculated data variances within each ground-type were assumed to be a predictor of substratum heterogeneity, and these were used in an OAA to apportion ground-truthing effort objectively within each ground-type in order to achieve a set level of sampling precision. The sampling effort recommended by the OAA was realistic and practical with regard to video footage, but the collection of grabs was limited by resource constraints. The coefficient of variation (CV) of the video ground-truthing data matched that estimated by OAA, but the inability to collect all the recommended grabs resulted in CVs greater than expected for sediment grain-size parameters. The efficient identification of substratum classes using OAA represents a first stage whereby this method could direct ground-truthing that could ultimately be used for habitat mapping.
机译：介绍了统计程序在地图地面实地过程中对抽样工作进行客观分层的应用。海洋底栖动物制图通常在twp阶段进行：遥感声波调查，然后进行地面真相以确定地面类型和栖息地分类。这项研究的目的是通过使用遥感数据来指导昂贵的实地取样工作，评估最佳分配分析（OAA）的应用。在爱尔兰海的一个近海站点，对遥感数据的分类（即测深和坡度）产生了六种预测的地面类型。假定每种地面类型内计算出的数据方差可预测地下异质性，并将其用于OAA中以客观地分配每种地面类型内的地面钻探工作量，以达到设定的采样精度水平。对于视频素材，OAA建议的采样工作是现实可行的，但是抓取的集合受到资源限制。视频地面真实数据的变异系数（CV）与OAA估计的相符，但是无法收集所有推荐的抓斗导致CV大于沉积物粒度参数的预期。使用OAA进行地下类别的有效识别代表了第一步，该方法可以指导地面真相，最终将其用于栖息地测绘。

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