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2021年第12期
2019年第02期
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4年间隔的遥感信息提取中国沿海水产养殖空间分布数据集(1990-2022)


尹玉蒙1张英慧*1胡忠文1徐月2王敬哲3王晨4石铁柱1邬国锋1
1 深圳大学自然资源部大湾区地理环境监测重点实验室,深圳5180602 华中师范大学城市与环境科学学院,武汉4300793 深圳职业技术大学人工智能学院,深圳5180554 生态环境部卫星环境应用中心,北京100094

DOI:10.3974/geodb.2023.09.01.V1

出版时间:2023年9月

网页浏览次数:3857       数据下载次数:208      
数据下载量:15740.50 MB      数据DOI引用次数:

关键词:

中国,水产养殖区,Landsat影像,长时间序列

摘要:

作者应用 1990-2022 年时间序列Landsat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,研发得到1990-2022年4年间隔的中国沿海水产养殖空间分布数据。该数据集空间分辨率为30 m,时间分辨率为4年。数据集存储为.tif格式,由99个数据文件组成,数据量为43.4 GB(压缩为 1 个文件,75.6 MB)。

基金项目:

深圳市科技创新委员会(JCYJ20220818101617037);国家自然科学基金(42201347)

数据引用方式:

尹玉蒙, 张英慧*, 胡忠文, 徐月, 王敬哲, 王晨, 石铁柱, 邬国锋. 4年间隔的遥感信息提取中国沿海水产养殖空间分布数据集(1990-2022)[J/DB/OL]. 全球变化数据仓储电子杂志(中英文), 2023. https://doi.org/10.3974/geodb.2023.09.01.V1.

参考文献:


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     [3] Sun, Z., Luo, J., Yang, J., et al. Nation-scale mapping of coastal aquaculture ponds with Sentinel-1 SAR data using Google Earth Engine [J]. Remote Sensing, 2020, 12(18): 3086.
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     [15] Guo, Q., Pu, R., Li, J., et al. A weighted normalized difference water index for water extraction using Landsat imagery [J]. International Journal of Remote Sensing, 2017, 38(19): 5430-5445.
     [16] Peng, Y., Sengupta, D., Duan, Y., et al. Accurate mapping of Chinese coastal aquaculture ponds using biophysical parameters based on Sentinel-2 time series images [J]. Marine Pollution Bulletin, 2022, 181: 113901.
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     [18] Diniz, C., Cortinhas, L., Pinheiro, M. L., et al. A large-scale deep-learning approach for multi-temporal aqua and salt-culture mapping [J]. Remote Sensing, 2021, 13(8): 1415.
     [19] Gross, J. W., Heumann, B. W. Can flowers provide better spectral discrimination between herbaceous wetland species than leaves? [J]. Remote Sensing Letters, 2014, 5(10): 892-901.
     

数据下载:

序号 数据名 数据大小 操作
1 CAP_MA_China_1990_2022.rar 77491.72KB
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