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| InSAR× | NDVI× | Pelifelaman Gelombang Penuh Seismik× | |
|---|---|---|---|
| Bidang | Geofizik | Geofizik | Geofizik |
| Keluarga | Process / pipeline | Process / pipeline | Process / pipeline |
| Tahun asal≠ | 1989 | 1973 | 1984 |
| Pengasas≠ | Gabriel, Goldstein, and Zebker | Rouse, Haas, Schell, and Deering | Albert Tarantola |
| Jenis≠ | Radar interferometry for millimeter-precision surface deformation | Spectral index for vegetation assessment | Seismic imaging and model parameterization technique |
| Sumber perintis≠ | 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. DOI ↗ | Rouse, J. W., Haas, R. H., Schell, J. A., & Deering, D. W. (1973). Monitoring vegetation systems in the Great Plains with ERTS. Third Earth Resources Technology Satellite Symposium Proceedings, 1, 309-317. link ↗ | Tarantola, A. (1984). Inversion of seismic reflection data in the acoustic approximation. Geophysics, 49(8), 1259-1266. DOI ↗ |
| Alias | InSAR | NDVI | FWI |
| Berkaitan | 3 | 3 | 3 |
| Ringkasan≠ | 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. | The Normalized Difference Vegetation Index (NDVI) is a spectral index computed from satellite or aerial multispectral imagery that quantifies vegetation greenness and vigor. Introduced by Rouse and colleagues in 1973 using Landsat data, NDVI has become the most widely used remote sensing metric for vegetation monitoring, drought assessment, crop productivity forecasting, and land cover change detection. | 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. |
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