中国沿海水产养殖空间分布数据集(1990-2022)研发

Quadrennial Series Dataset of Coastal Aquaculture Distribution of China Based on Landsat Images(1990–2022)

沿海水产养殖区是中国沿海地区的重要食物来源,但养殖业快速发展的同时也带来一系列生态环境问题。本研究运用1990–2022年长时间序列密集遥感影像,基于谷歌地球引擎(Google Earth Engine,GEE)云计算平台,运用多特征的沿海水产养殖区空间信息提取方法得到沿海水产养殖区空间分布数据集(1990–2022)。该数据集时间分辨率为4年,空间分辨率为30 m,数据集由99个文件组成,数据量为43.4 GB(压缩为1个文件,75.6 MB)。

Coastal aquaculture is a significant part of the economy in China’s coastal regions;however,it raises ecological and environmental concerns.In this study,the Google Earth Engine(GEE)cloud computing platform was utilized to apply a multi-feature method to extract coastal aquaculture areas using a long time series of dense remote sensing images from 1990 to 2022.A spatial distribution dataset of coastal aquaculture areas was acquired.The dataset covered the coastal region of China from 1990 to 2022,providing a spatial resolution of 30 m and a temporal resolution of four years.The collection consisted of 99 files,totaling 43.4 GB of data.The entire dataset was compressed into a single file of only 75.6 MB.