气候变化领域集成服务门户(CCPortal): Multi-temporal mapping of seagrass cover, species and biomass of the Eastern Banks, Moreton Bay, Australia, with links to shapefiles

CCPortal

DOI	https://doi.org/10.1594/PANGAEA.833767
	Multi-temporal mapping of seagrass cover, species and biomass of the Eastern Banks, Moreton Bay, Australia, with links to shapefiles
	Roelfsema; Christiaan M; Lyons; Mitchell B; Kovacs; Eva M; Maxwell; Paul; Saunders; Megan I; Samper-Villarreal; Jimena; Phinn; Stuart R
发布日期	2014-07-03
数据集类型	dataset
英文简介	The spatial and temporal dynamics of seagrasses have been studied from the leaf to patch (100 m2) scales. However, landscape scale (> 100 km2) seagrass population dynamics are unresolved in seagrass ecology. Previous remote sensing approaches have lacked the temporal or spatial resolution, or ecologically appropriate mapping, to fully address this issue. This paper presents a robust, semi-automated object-based image analysis approach for mapping dominant seagrass species, percentage cover and above ground biomass using a time series of field data and coincident high spatial resolution satellite imagery. The study area was a 142 km**2 shallow, clear water seagrass habitat (the Eastern Banks, Moreton Bay, Australia). Nine data sets acquired between 2004 and 2013 were used to create seagrass species and percentage cover maps through the integration of seagrass photo transect field data, and atmospherically and geometrically corrected high spatial resolution satellite image data (WorldView-2, IKONOS and Quickbird-2) using an object based image analysis approach. Biomass maps were derived using empirical models trained with in-situ above ground biomass data per seagrass species. Maps and summary plots identified inter- and intra-annual variation of seagrass species composition, percentage cover level and above ground biomass. The methods provide a rigorous approach for field and image data collection and pre-processing, a semi-automated approach to extract seagrass species and cover maps and assess accuracy, and the subsequent empirical modelling of seagrass biomass. The resultant maps provide a fundamental data set for understanding landscape scale seagrass dynamics in a shallow water environment. Our findings provide proof of concept for the use of time-series analysis of remotely sensed seagrass products for use in seagrass ecology and management.
空间范围	Latitude: -27.392400 * Longitude: 153.398100
时间范围	2004-09-17T00:00:00 - 2013-08-05T00:00:00
语种	英语
国家	国际
学科大类	气候变化
学科子类	气候变化
文献类型	数据集
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/217426
推荐引用方式 GB/T 7714	Roelfsema,Christiaan M,Lyons,et al. Multi-temporal mapping of seagrass cover, species and biomass of the Eastern Banks, Moreton Bay, Australia, with links to shapefiles.2014-07-03.https://doi.org/10.1594/PANGAEA.833767.