Vu Hoang Thai Duong, Vu Huu Long, Oberle Peter, Andreas Schenk, Nguyen Phuc Canh, Tran Dung Duc
Karlsruhe Institute of Technology, Karlsruhe 76131, Germany.
School of Public Finance, College of Economics, Law and Government, University of Economics, Ho Chi Minh City, Viet Nam.
Data Brief. 2022 May 15;42:108268. doi: 10.1016/j.dib.2022.108268. eCollection 2022 Jun.
This paper compiles the data associated with a research article published in STOTEN [1]. The data set represents figures, tables, and images illustrating the temporal and spatial distribution of land use and flood dynamics from 2000 to 2020 in the Vietnamese Mekong Delta (VMD). The MODIS imageries were freely accessed online via the NASA website [2] and processed to land use and flood maps based on the algorithms by Sakamoto et al. [3,4]. The MODIS products show a high validation with statistical data and radar satellites [1]. The datasets of flood map and land use, therefore, are available to scientists, engineers, and policy-makers in agricultural management associated with flood management in the VMD. They could be used for policy settings, household livelihood assessment as well as other economic analyses for the VMD region due to the change of land use and flooding dynamics.
本文汇编了与发表在《环境科学与技术快报》[1]上的一篇研究文章相关的数据。该数据集包含了2000年至2020年越南湄公河三角洲（VMD）土地利用和洪水动态的时空分布的图表和图像。中分辨率成像光谱仪（MODIS）图像通过美国国家航空航天局（NASA）网站[2]免费在线获取，并根据坂本等人[3,4]的算法处理成土地利用和洪水地图。MODIS产品与统计数据和雷达卫星数据具有高度的一致性[1]。因此，洪水地图和土地利用数据集可供VMD地区从事与洪水管理相关农业管理工作的科学家、工程师和政策制定者使用。由于土地利用和洪水动态的变化，这些数据集可用于政策制定、家庭生计评估以及VMD地区的其他经济分析。
