Comparar métodos

	InSAR	Radar de Penetración Terrestre	Inversión Sísmica de Forma de Onda Completa
Campo	Geofísica	Geofísica	Geofísica
Familia	Process / pipeline	Process / pipeline	Process / pipeline
Año de origen	1989	1989	1984
Autor original	Gabriel, Goldstein, and Zebker	James Davis and Anthony Annan	Albert Tarantola
Tipo	Radar interferometry for millimeter-precision surface deformation	Shallow subsurface electromagnetic pulse detection	Seismic imaging and model parameterization technique
Fuente seminal	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.	Davis, J. L., & Annan, A. P. (1989). Ground-penetrating radar for high-resolution mapping of soil and rock stratigraphy. Geophysical Prospecting, 37(5), 531-551.	Tarantola, A. (1984). Inversion of seismic reflection data in the acoustic approximation. Geophysics, 49(8), 1259-1266.
Alias	InSAR	GPR	FWI
Relacionados	3	3	3
Resumen	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.	Ground-Penetrating Radar (GPR) is a near-surface geophysical method that uses high-frequency electromagnetic pulses (typically 10 MHz to 2.5 GHz) to image shallow subsurface structures with exceptional spatial resolution. Pioneered by Davis and Annan in 1989, GPR is widely used in archaeology, civil engineering, environmental assessment, and shallow mineral exploration due to its ability to resolve features at decimeter to centimeter scales.	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.