摘要
潮沟是陆海生态系统交互作用的主要通道,具有高度的时空动态性。潮沟形态特征的时空分布具有明显的时空异质性,研究成果对合理构筑沿海工程设施和保护滩涂资源等具有重要的理论意义和科学价值。作者以黄河三角洲为研究区,基于1998-2018年20景Landsat TM/OLI卫星数据(云量<10%),使用异质背景下潮沟网络的精准提取算法提取潮沟,并利用潮沟快速自动分级算法对潮沟进行分级处理后,利用GIS空间分析功能,提取5年研究区潮沟形态特征参数,生成1998-2018年潮沟形态特征时空分布数据集。该数据集包括1998、2004、2008、2013和2018年黄河三角洲的以下数据:(1)潮沟分布数据;(2)潮滩最大分布范围数据;(3)潮沟密度核密度分布数据;(4)潮沟分汊率核密度分布数据;(5)非通道路径长度分布数据。其中,栅格数据的空间分辨率为30 m。数据集存储为.shp和.tif格式,共包含120个数据文件,数据量为81.4 MB(压缩为1个文件,14.8 MB)。
A tidal creek is the main channel of interaction between the land and sea ecosystems,and it is highly spatiotemporally dynamic.The spatial-temporal distributions of tidal creeks have obvious spatial-temporal heterogeneity.The results of this study have important theoretical significance and scientific value for rationally constructing coastal engineering facilities and protecting tidal flat resources.Based on Landsat thematic mapper/operational land imager(TM/OLI)satellite data for 20 scenes from 1998 to 2018(cloud cover<10%),we extracted tidal creeks using an accurate algorithm for tidal creek network extraction under a heterogeneous background and classified the tidal creeks using the fast automatic classification algorithm.After classifying the tidal creeks,the geographic information system(GIS)spatial analysis function was used.A temporal and spatial distribution dataset of the tidal creek morphological characteristics from 1998 to 2018 was generated by extracting the morphological parameters of the tidal creeks in the study area during the last 5 years.The dataset includes the following data for the Yellow River Delta for 1998,2004,2008,2013,and 2018:(1)the distribution of the tidal creeks;(2)the maximum distribution range of the tidal flat;(3)the kernel density distribution of the tidal creek density;(4)the kernel density distribution of the bifurcation ratio of the tidal creeks;and(5)the non-channel path length distribution.The spatial resolution of the raster data is 30 m.The dataset is archived in.shp and.tif formats,and the projection coordinate system is WGS_1984_UTM_Zone_50N.It contains 120 data files,and the data size is 81.4 MB(14.8 MB is compressed into one file).
作者
牟奎南
宫兆宁
邱华昌
Mou,K.N.;Gong,Z.N.;Qiu,H.C.(College of Resource Environment and Tourism,Capital Normal University,Beijing 100048,China;MCA Key Laboratory of Disaster Assessment and Risk Prevention,Capital Normal University,Beijing 100048,China)
出处
《全球变化数据学报（中英文）》
CSCD
2022年第2期234-240,406-412,共14页
Journal of Global Change Data & Discovery
基金
中华人民共和国科学技术部(2017YFC0505903)
国家自然科学基金(41971381)
