Open Access
Issue |
BIO Web Conf.
Volume 109, 2024
Conference on Water, Agriculture, Environment and Energy (WA2EN2023)
|
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Article Number | 01028 | |
Number of page(s) | 7 | |
DOI | https://doi.org/10.1051/bioconf/202410901028 | |
Published online | 20 May 2024 |
- Y. Chanyour, O. El Achari, Bilan des études géographiques sur l’érosion hydrique dans les montagnes du Rif (Maroc), Revue Espace géographique et Société Marocaine, Vol. 1 No. 59 (2022) https://revues.imist.ma/index.php/EGSM/article/view/31806/16521 [Google Scholar]
- M. Laabdi, Production de sédiments et perte en Cléments fertilisants par érosion dans le bassin versant de Tlata. Mé., Thèse 3ème cycle, Institut AV Ha II, Rabat, Maroc : 128 p. (1979). [Google Scholar]
- W. H. Wischmeier et D. D. Smith, Predicting Rainfall Erosion Losses: A Guide to Conservation Planning. Department of Agriculture, Science and Education Administration, Handbook No. 537. The Universal Soil Loss, 58 p. (1978). [Google Scholar]
- C. Jiang, W. Fan, N. Yu, Y. Nan, A New Method to Predict Gully Head Erosion in the Loess Plateau of China Based on SBAS-InSAR. Remote Sens. 2021, 13, 421. https://doi.org/10.3390/rs13030421 [CrossRef] [Google Scholar]
- Y. Guan, S. Yang, C Zhao, H. Lou, K. Chen, C. Zhang, Wu B., Monitoring long-term gully erosion and topographic thresholds in the marginal zone of the Chinese Loess Plateau, Soil and Tillage Research, Vol. 205, 104800, ISSN 0167-1987, (2021), https://doi.org/10.1016/j.still.2020.104800. [CrossRef] [Google Scholar]
- B. Osmanoglu, M. Crespi, T. Balz, U. Soergel, Advances in SAR: Sensors, Methodologies, and Applications. (2018). Suisse: MDPI AG. [Google Scholar]
- D. Massonnet, M. Rossi, C. Carmona. et al., The displacement field of the Landers earthquake mapped by radar interferometry. Nature 364, 138–142 (1993). https://doi.org/10.1038/364138a0 [CrossRef] [Google Scholar]
- G. Peltzer et P. Rosen, Surface Displacement of the 17 May 1993 Eureka Valley, California, Earthquake Observed by SAR Interferometry, Science, vol. 268, no 5215, p. 1333–1336, (1995). [CrossRef] [PubMed] [Google Scholar]
- A. Ferretti, C. Prati, et F. Rocca, Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry, IEEE Transactions on Geoscience and Remote Sensing, vol. 38, no 5, p. 2202–2212, (2000), doi: 10.1109/36.868878. [CrossRef] [Google Scholar]
- L. R. Schimleck, C. Mora, et R. F. Daniels, Estimation of the physical wood properties of green Pinus taeda radial samples by near infrared spectroscopy, Can. J. For. Res., vol. 33, no 12, p. 2297–2305, (2003), doi: 10.1139/x03-173. [CrossRef] [Google Scholar]
- P. Berardino, G. Fornaro, R. Lanari, et E. Sansosti, A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms, IEEE Transactions on Geoscience and Remote Sensing, vol. 40, no 11, p. 2375–2383, (2002), doi: 10.1109/TGRS.2002.803792. [CrossRef] [Google Scholar]
- R. Zhao, Z. Li, G. Feng, Q. Wang, et J. Hu, Monitoring surface deformation over permafrost with an improved SBAS-InSAR algorithm: With emphasis on climatic factors modeling, Remote Sensing of Environment, vol. 184, p. 276–287, (2016), doi: 10.1016/j.rse.2016.07.019. [Google Scholar]
- Shaowei Li, Wenbin Xu, Zhiwei Li, Review of the SBAS InSAR Time-series algorithms, applications, and challenges. Geodesy and Geodynamics, Vol. 13, Issue 2, 2022, pp. 114–126, ISSN 1674-9847, https://doi.org/10.1016/j.geog.2021.09.007 [CrossRef] [Google Scholar]
- R. Lanari, O. Mora, M. Manunta, J.J. Mallorquí, P. Berardino, E. Sansosti, A small-baseline approach for investigating deformations on full-resolution differential SAR interferograms. IEEE Trans. Geosci. Rem. Sens., 42 (2004), pp. 1377–1386 [CrossRef] [Google Scholar]
- B. Xu, Z. Li, Y. Zhu, J. Shi, G. Feng, SAR Interferometric Baseline Refinement Based on Flat-Earth Phase without a Ground Control Point. Remote Sens. 2020, 12, 233. https://doi.org/10.3390/rs12020233. [CrossRef] [Google Scholar]
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