%0 Dataset
%T Surface subsidence data set of No. 4 pit in Muli coalfield, Qinghai Province (2018-2023)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/05e0ee43-9b9b-42be-aaf4-9726b88e89a8
%W NCDC
%A xu pei yun
%A wang kai
%K surface subsidence;哨兵-1;SBAS InSAR;long time series
%X Time-series surface subsidence data is an important indicator for regional geological disaster monitoring, engineering safety assessment and surface deformation evolution research. This study uses ESA Sentinel-1 SAR data image resolution of 5m (range direction) ×20m (azimuth direction), combined with digital elevation model (DEM), orbit auxiliary data and other data sources, based on SBAS-InSAR technology, multi-period images are subjected to time-series interference processing to generate time-series surface subsidence data products in the study area from 2018 to 2023. This data has the following advantages: strong spatiotemporal continuity, overcoming the loss of coherence caused by the large spatiotemporal baseline of traditional InSAR technology.