二维格网产品（RtZTD）
Similar to GNSS observations, InSAR observations are also influenced by neutral atmosphere. Reanalysis data, especially ERA Interim data, is considered the most promising external data source for correcting InSAR atmospheric delay and is often applied in related studies (e.g. Joviet et al. 2011). The latest ERA5 data has higher spatiotemporal resolution compared to ERA Interim, and is expected to achieve better performance in InSAR atmospheric delay estimation. Users can obtain InSAR atmospheric delay correction information for the area of interest through this platform (estimated based on ERA5 reanalysis data).
Recommended literature citation
◊ Zhang Z., Lou Y., Zhang W., Wang H., Zhou Y., Bai J. (2022)
Assessment of ERA-Interim and ERA5 Reanalysis Data on Atmospheric Corrections for InSAR.
International Journal of Applied Earth Observation and Geoinformation. 111, 102822.
相关代码
三维层析产品（TOM）
Similar to GNSS observations, InSAR observations are also influenced by neutral atmosphere. Reanalysis data, especially ERA Interim data, is considered the most promising external data source for correcting InSAR atmospheric delay and is often applied in related studies (e.g. Joviet et al. 2011). The latest ERA5 data has higher spatiotemporal resolution compared to ERA Interim, and is expected to achieve better performance in InSAR atmospheric delay estimation. Users can obtain InSAR atmospheric delay correction information for the area of interest through this platform (estimated based on ERA5 reanalysis data).
Recommended literature citation
◊ Zhang Z., Lou Y., Zhang W., Wang H., Zhou Y., Bai J. (2022)
Assessment of ERA-Interim and ERA5 Reanalysis Data on Atmospheric Corrections for InSAR.
International Journal of Applied Earth Observation and Geoinformation. 111, 102822.
相关代码
