Võrdle meetodeid

	Elektritakistuse tomograafia	InSAR	Seismiline täislaineinversioon
Valdkond	Geofüüsika	Geofüüsika	Geofüüsika
Perekond	Process / pipeline	Process / pipeline	Process / pipeline
Tekkeaasta	1996	1989	1984
Looja	Loke and Barker	Gabriel, Goldstein, and Zebker	Albert Tarantola
Tüüp	Active source resistivity mapping and subsurface imaging	Radar interferometry for millimeter-precision surface deformation	Seismic imaging and model parameterization technique
Algallikas	Loke, M. H., & Barker, R. D. (1996). Rapid least-squares inversion of apparent resistivity pseudosections by a quasi-Newton method. Geophysical Prospecting, 44(1), 131-152.	Gabriel, A. K., Goldstein, R. M., & Zebker, H. A. (1989). Mapping small elevation changes over large areas: Differential radar interferometry. Journal of Geophysical Research, 94(B7), 9183-9191.	Tarantola, A. (1984). Inversion of seismic reflection data in the acoustic approximation. Geophysics, 49(8), 1259-1266.
Rööpnimetused	ERT	InSAR	FWI
Seotud	3	3	3
Kokkuvõte	Electrical Resistivity Tomography (ERT) is an active-source geophysical method that maps the spatial distribution of electrical resistivity in the subsurface by injecting current between two electrodes and measuring potential differences across an array of receiver electrodes. Advanced as a practical technique by Loke and Barker in 1996, ERT has become standard for hydrogeological, environmental, and structural characterization due to its sensitivity to fluid saturation and salt content.	Interferometric Synthetic Aperture Radar (InSAR) is a radar remote sensing technique that measures millimeter-scale ground surface deformation by analyzing the phase difference between radar images acquired from slightly different orbital positions. Pioneered by Gabriel, Goldstein, and Zebker in 1989, InSAR has become essential for earthquake rupture characterization, volcanic monitoring, landslide detection, and subsidence quantification.	Seismic Full-Waveform Inversion (FWI) is a computational technique that reconstructs detailed subsurface velocity and impedance models by iteratively fitting synthetic seismic waveforms to observed data. Introduced by Albert Tarantola in 1984, FWI has become the leading method for high-resolution imaging in exploration geophysics, engineering seismology, and subsurface characterization.