Datasets related to in-land water for limnology and remote sensing applications: distance-to-land, distance-to-water, water-body identifier and lake-centre co-ordinates.
Datasets related to in-land water for limnology and remote sensing applications: distance-to-land, distance-to-water, water-body identifier and lake-centre co-ordinates.
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DOI：
10.1002/gdj3.32
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发表时间：
2015-11
影响因子：
3.2
通讯作者：
Merchant CJ
中科院分区：
文献类型：
--
作者：
Carrea L;Embury O;Merchant CJ
包含水体定位和识别信息的数据集是由欧洲空间局的土地覆盖气候变化倡议（LC CCI）最近发布的静态水体定位数据生成的，分辨率约为300米（1/360°）。LC CCI水体数据集是基于2005年至2010年Envisat上ASAR记录的后向散射强度时间序列的多时相指标获得的。新的衍生数据集连贯地提供：到陆地的距离、到水的距离、水体标识符和湖中心位置。水体标识符数据集定位了分配全球湖泊和湿地数据库（GLWD）标识符的水体，并为确定GLWD id的陆地水域定义了湖泊中心。因此，新的数据集将最近的湖泊/水库/湿地范围与GLWD联系起来，并使用一组坐标来明确定位数据库中的水体。每个水单元与陆地之间的距离信息和每个陆地单元与陆地之间的距离信息在遥感中有许多潜在的应用，在遥感中，地球物理检索算法的适用性可能会受到卫星视场（图像像素）中存在的水或陆地的影响。在数据集的生成和验证过程中，发现了GLWD数据库和LC CCI水体掩膜的一些局限性。提出并讨论了一些不准确/限制的例子。水体范围的时间变化是常见的。LC CCI数据集的未来版本计划表示时间变化，这将允许这些衍生数据集进行更新。
Datasets containing information to locate and identify water bodies have been generated from data locating static‐water‐bodies with resolution of about 300 m (1/360∘) recently released by the Land Cover Climate Change Initiative (LC CCI) of the European Space Agency. The LC CCI water‐bodies dataset has been obtained from multi‐temporal metrics based on time series of the backscattered intensity recorded by ASAR on Envisat between 2005 and 2010. The new derived datasets provide coherently: distance to land, distance to water, water‐body identifiers and lake‐centre locations. The water‐body identifier dataset locates the water bodies assigning the identifiers of the Global Lakes and Wetlands Database (GLWD), and lake centres are defined for in‐land waters for which GLWD IDs were determined. The new datasets therefore link recent lake/reservoir/wetlands extent to the GLWD, together with a set of coordinates which locates unambiguously the water bodies in the database. Information on distance‐to‐land for each water cell and the distance‐to‐water for each land cell has many potential applications in remote sensing, where the applicability of geophysical retrieval algorithms may be affected by the presence of water or land within a satellite field of view (image pixel). During the generation and validation of the datasets some limitations of the GLWD database and of the LC CCI water‐bodies mask have been found. Some examples of the inaccuracies/limitations are presented and discussed. Temporal change in water‐body extent is common. Future versions of the LC CCI dataset are planned to represent temporal variation, and this will permit these derived datasets to be updated.