A dataset of remote sensing classification for Beidagang wetlands in Tianjin from 2019 to 2022
As one of the most important ecosystems on Earth,Wetlands play a vital role in water purification and biodiversity preservation.However,the special hydrological and vegetation characteristics of coastal wetlands make them challenging to map and manage them using traditional monitoring methods.With the advancement of big data and cloud computing,Google Earth Engine(GEE)enables long-term data processing.This study uses the GEE platform to integrate Sentinel-1 synthetic aperture radar data with Sentinel-2 optical data,employing random forest(RF)to extract information about Beidagang Wetland in Tianjin.We explored the significance of multi-source data and time series characteristics for the classification for Beidagang Wetland in Tianjin,and finally obtained a dataset of remote sensing classification of Beidagang wetlands in Tianjin from 2019 to 2022.Validated by measured data,the overall accuracy of the classification results is 95.35%,meeting the accuracy requirements.This dataset can provide scientific basis for the protection and management of Beidagang Wetland.
万方数据
维普
