1985–2022年胶州湾岸线时空分布数据集

胶州湾是青岛的“母亲湾”, 岸线时空分布受到气候变化和人类活动双重影响。岸线变化检测对于研究海陆格局演变和维护城市生态平衡至关重要。作者基于遥感和GIS技术, 利用Google Earth Engine平台经波段边缘检测及影像目视解译, 获得1985–2022年9期胶州湾海岸线时空分布数据, 并计算获得相应的岸线长度数据, 形成本数据集。人工修正后的岸线矢量数据, 通过验证点与高精度遥感影像进行精度评估, 误差参数均小于理论最大允许误差。本数据集包括1985–2020年5年间隔、2022年的胶州湾海岸线空间分布数据(shp格式)和海岸线长度数据(xlsx格式)。本数据集为研究胶州湾海岸线时空演变规律、评估人类活动与自然因素对其影响提供了关键数据基础, 相关研究成果可服务于海岸带生态修复工程与区域可持续发展决策。

Jiaozhou Bay is the "mother bay" of Qingdao, and the spatio-temporal distribution of its shorelines is affected by both climate change and human activities. Shoreline change detection is crucial for studying the evolution of land-sea patterns and maintaining urban ecological balance. Based on remote sensing and GIS technologies, the authors used the Google Earth Engine platform to conduct band edge detection and visual image interpretation, then obtained spatio-temporal distribution data of Jiaozhou Bay shorelines across 9 periods from 1985 to 2022, and calculated the corresponding shoreline length data to develop this dataset. The manually corrected shoreline vector data were evaluated for accuracy using verification points and high-resolution remote sensing images, with all error parameters lower than the theoretical maximum allowable error. This dataset includes spatial distribution data of Jiaozhou Bay shorelines (in shp format) at 5-year intervals from 1985 to 2020, as well as shoreline length data (in xlsx format) for the year 2022. This dataset provides a critical data foundation for researching the spatio-temporal evolution rules of Jiaozhou Bay shorelines and assessing the impacts of human activities and natural factors on them. Relevant research results can support coastal ecosystem restoration projects and regional sustainable development decision-making.

搜集汇总

背景与挑战

背景概述

该数据集提供了1985年至2022年胶州湾海岸线的时空分布数据，包含9个时间点的岸线矢量（shp格式）和长度（xlsx格式）信息，基于遥感和GIS技术生成并经过精度验证。它旨在研究海岸线演变规律，评估气候变化和人类活动的影响，为海岸带生态修复和区域可持续发展提供关键数据基础。