Confuorto, P., Del Soldato, M., Solari, L., Festa, D., Bianchini, S., Raspini, F., and Casagli, N.: Sentinel-1-based monitoring services at regional scale in Italy: State of the art and main findings, Int. J. Appl. Earth Obs., 102, 102448, https://doi.org/10.1016/j.jag.2021.102448, 2021.
Crosetto, M., Solari, L., Mróz, M., Balasis-Levinsen, J., Casagli, N., Frei, M., Oyen, A., Moldestad, D. A., Bateson, L., Guerrieri, L., Comerci, V., and Andersen, H. S.: The Evolution of Wide-Area DInSAR: From Regional and National Services to the European Ground Motion Service, Remote Sensing, 12, 2043, https://doi.org/10.3390/rs12122043, 2020.
Danudirdjo, D. and Hirose, A.: InSAR Image Regularization and DEM Error Correction With Fractal Surface Scattering Model, IEEE T. Geosci. Remote, 53, 1427–1439, https://doi.org/10.1109/TGRS.2014.2341254, 2015.
Devaraj, S. and Yarrakula, K.: Assessment of topographical and atmospheric errors in Sentinel 1 derived DInSAR, Geocarto International, 1–17, https://doi.org/10.1080/10106049.2020.1822926, 2020.
ESA: Copernicus DEM, Global and European Digial Elevation Model. German Aerospace Center (DLR) Airbus Defence and Space GmbH 2014-2018, provided under COPERNICUS by the European Union and ESA [data set], https://doi.org/10.5270/ESA-c5d3d65, 2022.
Farr, T. G., Rosen, P. A., Caro, E., Crippen, R., Duren, R., Hensley, S., Kobrick, M., Paller, M., Rodriguez, E., Roth, L., Seal, D., Shaffer, S., Shimada, J., Umland, J., Werner, M., Oskin, M., Burbank, D., and Alsdorf, D.: The Shuttle Radar Topography Mission, Rev. Geophys., 45, https://doi.org/10.1029/2005RG000183, 2007.
Fattahi, H. and Amelung, F.: DEM Error Correction in InSAR Time Series, IEEE T. Geosci. Remote, 51, 4249–4259, https://doi.org/10.1109/TGRS.2012.2227761, 2013.
Fattahi, H., Agram, P., and Simons, M.: A Network-Based Enhanced Spectral Diversity Approach for TOPS Time-Series Analysis, IEEE T. Geosci. Remote, 55, 777–786, https://doi.org/10.1109/TGRS.2016.2614925, 2017.
Fernández, J., Peter, H., Fernández, C., Berzosa, J., Fernández, M., Bao, L., Muñoz, M. Á., Lara, S., Terradillos, E., Féménias, P., and Nogueira, C.: The Copernicus POD Service, Adv. Space Res., 74, 2615–2648, https://doi.org/10.1016/j.asr.2024.02.056, 2024.
Ferretti, A., Monti-Guarnieri, A., Prati, C., and Rocca, F.: InSAR 35 processing: Part C: A mathematical approach, ESA Publications TS18, Noordwijk, The Netherlands, 245 pp., ISBN 92-9092-233-8, 2007.
Funning, G. J. and Garcia, A.: A systematic study of earthquake detectability using Sentinel-1 Interferometric Wide-Swath data, Geophys. J. Int., https://doi.org/10.1093/gji/ggy426, 2018.
Gierull, C. H. and Sikaneta, I. C.: Estimating the effective number of looks in interferometric SAR data, IEEE T. Geosci. Remote, 40, 1733–1742, https://doi.org/10.1109/TGRS.2002.802457, 2002.
Goldstein, R. M. and Werner, C. L.: Radar interferogram filtering for geophysical applications, Geophys. Res. Lett., 25, 4035–4038, https://doi.org/10.1029/1998GL900033, 1998.
Guth, P. L., Van Niekerk, A., Grohmann, C. H., Muller, J.-P., Hawker, L., Florinsky, I. V., Gesch, D., Reuter, H. I., Herrera-Cruz, V., Riazanoff, S., López-Vázquez, C., Carabajal, C. C., Albinet, C., and Strobl, P.: Digital Elevation Models: Terminology and Definitions, Remote Sensing, 13, 3581, https://doi.org/10.3390/rs13183581, 2021.
Hajduch, G.: S-1C uncalibrated products distributed at beginning of In-Orbit Commissioning phase, ISBN 92-9092-233-8, 2025.
Hanssen, R. F.: Radar interferometry: data interpretation and error analysis, Springer Science and Business Media, The SAR Mission Performance Cluster (MPC) Quality Document No 259, Technical Report, 2001.
Huntley, B. J.: Angola in Outline: Physiography, Climate and Patterns of Biodiversity, in: Biodiversity of Angola, edited by: Huntley, B. J., Russo, V., Lages, F., and Ferrand, N., Springer International Publishing, Cham, 15–42, https://doi.org/10.1007/978-3-030-03083-4_2, 2019.
Ibarra, F., Cuello, A., Gotusso, L., Guerrieri, M., Ludueña, S., Marquez, J., Micou, A. P., Migliorini, R., Ortone, A., Perez, M., Posadas, A., Seco, J. L., Soldano, Á., Sotelo, A., Tamayo, C., and Chiarito, E.: Exploring C and L band InSAR digital elevation model stacking: A case study in Córdoba, Argentina, J. S. Am. Earth Sci., 143, 105006, https://doi.org/10.1016/j.jsames.2024.105006, 2024.
Jong-Sen Lee, Hoppel, K. W., Mango, S. A., and Miller, A. R.: Intensity and phase statistics of multilook polarimetric and interferometric SAR imagery, IEEE T. Geosci. Remote, 32, 1017–1028, https://doi.org/10.1109/36.312890, 1994.
Kellndorfer, J., Cartus, O., Lavalle, M., Magnard, C., Milillo, P., Oveisgharan, S., Osmanoglu, B., Rosen, P. A., and Wegmüller, U.: Global seasonal Sentinel-1 interferometric coherence and backscatter data set, Sci. Data, 9, 73, https://doi.org/10.1038/s41597-022-01189-6, 2022.
Kolecka, N. and Kozak, J.: Assessment of the Accuracy of SRTM C- and X-Band High Mountain Elevation Data: a Case Study of the Polish Tatra Mountains, Pure Appl. Geophys., 171, 897–912, https://doi.org/10.1007/s00024-013-0695-5, 2014.
Liu, Z., Zhou, C., Fu, H., Zhu, J., and Zuo, T.: A Framework for Correcting Ionospheric Artifacts and Atmospheric Effects to Generate High Accuracy InSAR DEM, Remote Sensing, 12, 318, https://doi.org/10.3390/rs12020318, 2020.
Madsen, S. N., Zebker, H. A., Martin, J., Madsen, S. N., Zebker, H. A., and Martin, J.: Topographic mapping using radar interferometry: Processing techniques, IEEE T. Geosci. Remote, 31, 246–256, https://doi.org/10.1109/36.210464, 1993.
Magruder, L., Brunt, K., Neumann, T., Klotz, B., and Alonzo, M.: Passive Ground-Based Optical Techniques for Monitoring the On-Orbit ICESat-2 Altimeter Geolocation and Footprint Diameter, Earth and Space Science, 8, e2020EA001414, https://doi.org/10.1029/2020EA001414, 2021.
Mantovani, M., Bossi, G., Marcato, G., Schenato, L., Tedesco, G., Titti, G., and Pasuto, A.: New Perspectives in Landslide Displacement Detection Using Sentinel-1 Datasets, Remote Sensing, 11, 2135, https://doi.org/10.3390/rs11182135, 2019.
Marešová, J., Gdulová, K., Pracná, P., Moravec, D., Gábor, L., Prošek, J., Barták, V., and Moudrý, V.: Applicability of Data Acquisition Characteristics to the Identification of Local Artefacts in Global Digital Elevation Models: Comparison of the Copernicus and TanDEM-X DEMs, Remote Sensing, 13, 3931, https://doi.org/10.3390/rs13193931, 2021.
Martone, M., Bräutigam, B., Rizzoli, P., Gonzalez, C., Bachmann, M., and Krieger, G.: Coherence evaluation of TanDEM-X interferometric data, ISPRS Journal of Photogrammetry and Remote Sensing, 73, 21–29, https://doi.org/10.1016/j.isprsjprs.2012.06.006, 2012.
Mestre-Quereda, A., Lopez-Sanchez, J. M., Vicente-Guijalba, F., Jacob, A. W., and Engdahl, M. E.: Time-Series of Sentinel-1 Interferometric Coherence and Backscatter for Crop-Type Mapping, IEEE J. Sel. Top. Appl., 13, 4070–4084, 2020.
Monti-Guarnieri, A., Albinet, C., Cotrufo, A., Franceschi, N., Manzoni, M., Miranda, N., Piantanida, R., and Recchia, A.: Passive sensing by Sentinel-1 SAR: Methods and applications, Remote Sens. Environ., 270, 112866, https://doi.org/10.1016/j.rse.2021.112866, 2022.
Moore, I. D., Grayson, R. B., and Ladson, A. R.: Digital terrain modelling: a review of hydrological, geomorphological, and biological applications, Hydrol. Process., 5, 3–30, 1991.
Morishita, Y. and Hanssen, R. F.: Temporal decorrelation in L-, C-, and X-band satellite radar interferometry for pasture on drained peat soils, IEEE T. Geosci. Remote, 53, 1096–1104, 2014.
Neuenschwander, A., Pitts, K., Jelley, B., Robbins, J., Markel, J., Popescu, S., Nelson, R., Harding, D., Pederson, D., Klotz, B., and Sheridan, R.: ATLAS/ICESat-2 L3A Land and Vegetation Height, Version 6, https://doi.org/10.5067/ATLAS/ATL08.006, 2023.
Prats-Iraola, P., Rodriguez-Cassola, M., Zan, F., Scheiber, R., López-Dekker, P., Barat, I., and Geudtner, D.: Role of the orbital tube in interferometric spaceborne SAR missions, IEEE Geoscience and Remote Sensing Letters, 12, 1486–1490, 2015.
Rizzoli, P., Martone, M., Gonzalez, C., Wecklich, C., Borla Tridon, D., Bräutigam, B., Bachmann, M., Schulze, D., Fritz, T., Huber, M., Wessel, B., Krieger, G., Zink, M., and Moreira, A.: Generation and performance assessment of the global TanDEM-X digital elevation model, ISPRS Journal of Photogrammetry and Remote Sensing, 132, 119–139, https://doi.org/10.1016/j.isprsjprs.2017.08.008, 2017.
Schillaci, C., Braun, A., and Kropáček, J.: Terrain analysis and landform recognition, in: Geomorphological Techniques, edited by: Cook, S. J., Clarke, L. E., and Nield, J. M., British Society for Geomorphology, London, 1–18, ISBN 978-90-481-5696-2, https://doi.org/10.1007/0-306-47633-9 2015.
Stiles, J. M., Sarabandi, K., and Ulaby, F. T.: Electromagnetic scattering from grassland, II. Measurement and modeling results, IEEE T. Geosci. Remote, 38, 349–356, https://doi.org/10.1109/36.823930, 2000.
Torres, R., Lokas, S., Bibby, D., Geudtner, D., Navas-Traver, I., Ceba Vega, F., Osborne, S., Poupaert, J., Cossu, M., and Touveneau, M.: The Sentinel-1C/-1D Development and Deployment Plan, in: 13th European Conference on Synthetic Aperture Radar, 29 March–1 April 2021, pp. 1–4, ISBN 978-3-8007-5457-1, 2021.
Wagner, W., Bauer-Marschallinger, B., Navacchi, C., Reuß, F., Cao, S., Reimer, C., Schramm, M., and Briese, C.: A Sentinel-1 Backscatter Datacube for Global Land Monitoring Applications, Remote Sensing, 13, 4622, https://doi.org/10.3390/rs13224622, 2021.
Willmott, C. J. and Matsuura, K.: Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance, Clim. Res., 30, 79–82, https://doi.org/10.3354/cr030079, 2005.
Wu, Y.-Y. and Madson, A.: Error Sources of Interferometric Synthetic Aperture Radar Satellites, Remote Sensing, 16, 354, https://doi.org/10.3390/rs16020354, 2024.
Yan, L., Li, H., Hao, X., Wang, J., Yin, Z., and Liu, J.: Generation and Assessment of Digital Elevation Models by Combining Sentinel-1A and Sentinel-1B Data in Mountain Glacier Area, IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing, 18, 642–654, https://doi.org/10.1109/JSTARS.2024.3489576, 2025.
Yu, H., Lee, H., Cao, N., and Lan, Y.: Optimal Baseline Design for Multibaseline InSAR Phase Unwrapping, IEEE T. Geosci. Remote, 57, 5738–5750, https://doi.org/10.1109/TGRS.2019.2901873, 2019a.
Yu, H., Lan, Y., Yuan, Z., Xu, J., and Lee, H.: Phase Unwrapping in InSAR: A Review, IEEE Geosci. Remote Sens. Mag., 7, 40–58, https://doi.org/10.1109/MGRS.2018.2873644, 2019b.
Yu, H., Xing, M., and Yuan, Z.: Baseline Design for Multibaseline InSAR System: A Review, IEEE J. Miniat. Air Space Syst., 2, 17–24, https://doi.org/10.1109/JMASS.2020.3030862, 2021.
Zebker, H. A.: snaphu: Statistical-cost, network-flow algorithm for phase unwrapping, version 2.0.4 (August 2020), 2020.
Zebker, H. A. and Lu, Y.: Phase unwrapping algorithms for radar interferometry: residue-cut, least-squares, and synthesis algorithms, JOSA A, 15, 586–598, 1998.
Zhu, J., Yang, P., Li, Y., Xie, Y., and Fu, H.: Accuracy assessment of ICESat-2 ATL08 terrain estimates: A case study in Spain, J. Cent. South Univ., 29, 226–238, https://doi.org/10.1007/s11771-022-4896-x, 2022.
Zylshal, Z., Saputra, M., Bayanuddin, A. A., Siwi, S. E., Musyarofah, Sartika, Setiyoko, A., and Arief, R.: Space-borne Interferometric SAR for digital elevation model in the tropical region: An initial result of Sentinel-1 RADAR data over the Indonesian archipelago, in: 7th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), Bali, Indonesia, 1–6, https://doi.org/10.1109/APSAR52370.2021.9688483, 2021.