A remote sensing classification dataset of Beidagang Wetland in Tianjin from 2019 to 2022
收藏科学数据银行2024-09-30 更新2026-04-23 收录
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https://www.scidb.cn/detail?dataSetId=7f32b14478a64f31b1a1a512dbdd0574
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资源简介：
The remote sensing classification dataset of Beidagang Wetland in Tianjin from 2019 to 2022 is based on Google Earth Engine, using the random forest model to classify Sentinel-1 and Sentinel-2 images. This dataset processed and analyzed 313 Sentinel-1 images from May to October in each year from 2019 to 2022, and 275 Sentinel-2 images with cloud coverage less than 30%. In the random forest classification, the sample points are obtained from field sampling and UAV images, and the classification features comprised of NDWI, MNDWI, EVI, VH, and the phenological index of NDVI. There are 5 classes: permanent water, temporary water, perennial vegetation, annual vegetation, and barren. The dataset includes 4 TIF images of remote sensing classification in Beidagang Wetland from 2019 to 2022.
提供机构：
天津市测绘地理信息研究中心; 南京林业大学; 天津环渤海滨海地球关键带国家野外科学观测研究站; 中国林业科学研究院林业研究所; 河南黄河小浪底关键带国家野外科学观测研究站; 天津大学
创建时间：
2023-07-23
