A Seagrass Mapping Toolbox for South Pacific Environments

海草 工具箱 遥感 环境资源管理 比例(比率) 背景(考古学) 环境科学 计算机科学 地理 生态系统 地图学 生态学 生物 考古 程序设计语言
作者
Julie Bremner,Caroline Petus,Tony Dolphin,Jon Hawes,Benoît Beguet,Michelle Devlin
出处
期刊:Remote Sensing [MDPI AG]
卷期号:15 (3): 834-834 被引量:4
标识
DOI:10.3390/rs15030834
摘要

Seagrass beds provide a range of ecosystem services but are at risk from anthropogenic pressures. While recent progress has been made, the distribution and condition of South Pacific seagrass is relatively poorly known and selecting an appropriate approach for mapping it is challenging. A variety of remote sensing tools are available for this purpose and here we develop a mapping toolbox and associated decision tree tailored to the South Pacific context. The decision tree considers the scale at which data are needed, the reason that monitoring is required, the finances available, technical skills of the monitoring team, data resolution, site safety/accessibility and whether seagrass is predominantly intertidal or subtidal. Satellite mapping is recommended for monitoring at the national and regional scale, with associated ground-reference data where possible but without if time and funds are limiting. At the local scale, satellite, remotely piloted aircraft (RPA), kites, underwater camera systems and in situ surveys are all recommended. In the special cases of community-based initiatives and emergency response monitoring, in situ or satellite/RPA are recommended, respectively. For other types of monitoring the primary driver is funding, with in situ, kite and satellite recommended when finances are limited and satellite, underwater camera, RPA or kites otherwise, dependent on specific circumstances. The tools can be used individually or in combination, though caution is recommended when combining tools due to data comparability.
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