%0 Dataset
%T Electrical resistance tomography monitoring data of rainfall induced loess landslide in Luoyugou watershed, Tianshui City, Gansu Province (August 2020)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/b5e37cf9-4969-49d5-8ea2-0c93a5a0e16b
%W NCDC
%R 10.12072/ncdc.LANDSLIDE.db2069.2022
%A Zeng Runqiang
%K Electrical resistance tomography;apparent resistivity;measurement accuracy
%X This data is the original apparent resistivity data collected from 34 rainfall tests obtained by the research team using AgI's supersting R8 / IP electrical resistance tomography instrument. The main fields include electrode position, measurement voltage, apparent resistivity, measurement accuracy, etc., in which the voltage measurement resolution is MV. Based on the spatial time series clustering algorithm, the spatial distribution of the similar variation interval of the inversion resistivity is calculated by clustering. The monitoring accuracy of apparent resistivity and voltage data is MV. Based on earthimager, the abnormal values are put forward, and finally STG format storage.