SC Coastal Ponds 2013

The South Carolina Coastal Counties Pond Inventory 2013 was developed to serve as a baseline dataset for the spatial distribution of ponds and stormwater ponds in the (8) coastal counties of South Carolina. The goals of the project were to capture all ponds that were present in the year 2013. The ponds were heads-up digitized manually from the USDA NAIP 2013 1-meter true color aerial imagery. Ponds were digitized at a minimum scale of 1:3000. The ponds were visually classified into (7) categories based on the digitizers' estimation of land-use adjacent to the pond. The (7) classes were as follows: 1) rural –personal ponds in rural backyards presumably created for fishing or other uses plus ponds associated with agricultural practices; 2) forest –ponds in the middle of woods with nothing nearby, swamps were not considered to be ponds; 3) mining –ponds located adjacent to borrow pits or sand mining operations; 4) residential –ponds located in residential neighborhoods and not adjacent to golf course land; 5) golf –ponds located on golf courses with no adjacent houses; 6) commercial –ponds located in or adjacent to shopping areas, office complexes, downtowns, or school properties; and 7) mixed –ponds adjacent to a golf course and residential or commercial area. Water bodies that were intentionally excluded from the pond inventory were those visually interpreted as any of the following: 1) marsh or riverine impoundments, including former rice fields; 2) ponds or lagoons associated with wastewater treatment plants; 3) any pond or lagoon associated with industrial facilities or power plants; 4) open water within swamp land or other ephemeral pools; and 5) small water features created for fountains and visual aesthetics, such as those associated with miniature golf sites or similar. A visual QA/QC was conducted using a variety of other datasets, including hydrobreak lines where available and the National Hydrographic Data (NHD) in other areas. Due to time constraints, scale, and the subjective nature of visual classifications, there may be omissions and other discrepancies in the dataset. The dataset was thoroughly checked for topological and geometric errors. This project was conducted by Erik Smith (PI) from the University of South Carolina, Denise Sanger, Andrew Tweel, and Erin Koch from the SC Department of Natural Resources with funding from the South Carolina Sea Grant Consortium as part of the Stormwater Ponds Research and Management Collaborative through a National Oceanic and Atmospheric Administration Award No. NA10OAR4170073.南卡罗来纳州沿海县2013年池塘清单（South Carolina Coastal Counties Pond Inventory 2013）旨在作为南卡罗来纳州8个沿海县域内池塘与雨水塘空间分布的基准数据集。本项目的目标是采集2013年已存在的全部池塘。项目团队依托美国农业部（USDA）2013年1米分辨率真彩色航空影像，通过人工屏幕目视数字化的方式矢量化提取池塘空间边界，数字化作业的最小比例尺不低于1:3000。基于数字化人员对池塘周边土地利用类型的主观判读，所有池塘被划分为7个类别，具体分类如下：1）农村类：乡村后院的私人池塘（推测用于垂钓或其他用途）以及农业生产配套池塘；2）森林类：位于林地中央、周边无其他地物的池塘，沼泽不被纳入池塘统计范畴；3）采矿类：紧邻借土坑或采砂作业区的池塘；4）居住类：位于住宅小区内且不毗邻高尔夫球场用地的池塘；5）高尔夫球场类：位于高尔夫球场内且周边无住宅的池塘；6）商业类：位于商业区、办公园区、中心城区或校园内及其毗邻区域的池塘；7）混合类：毗邻高尔夫球场与居住或商业区域的池塘。 本清单刻意排除以下目视判读识别的水体：1）沼泽或河道拦蓄水体，包括昔日稻田；2）与污水处理厂配套的池塘或泻湖；3）任何与工业设施或发电厂相关的池塘或泻湖；4）沼泽地带内的开阔水域或其他临时性水塘；5）为喷泉景观及视觉美学设计的小型水景，例如迷你高尔夫球场及类似场所配套的水景。 项目团队采用多种辅助数据集开展目视质量检查与质量控制（QA/QC），包括可用的水文分界线数据，以及其他区域使用的国家水文数据集（National Hydrographic Data, NHD）。受限于时间成本、作业尺度以及目视分类的主观性，本数据集可能存在遗漏或其他偏差。本数据集已针对拓扑与几何错误开展全面核查。 本项目由南卡罗来纳大学的埃里克·史密斯（Erik Smith，首席研究员）、南卡罗来纳州自然资源部的丹尼斯·桑杰、安德鲁·特维尔与艾琳·科赫共同完成，由南卡罗来纳州海洋推广联盟（South Carolina Sea Grant Consortium）资助，作为“雨水塘研究与管理协作项目”的一部分，获得美国国家海洋和大气管理局（National Oceanic and Atmospheric Administration, NOAA）编号为NA10OAR4170073的拨款支持。