References

1. D. Tuia, M. Volpi, L. Copa, M. Kanevski, J. Munoz-Mari, A survey of active learning algorithms for supervised remote sensing image classification, IEEE J. Sel. Top. Signal Process., 5 (2011) 606–617.
2. R.E. Kennedy, P.A. Townsend, J.E. Gross, W.B. Cohen, P. Bolstad, Y. Wang, P. Adams, Remote sensing change detection tools for natural resource managers: understanding concepts and tradeoffs in the design of landscape monitoring projects, Remote Sens. Environ., 113 (2009) 1382–1396.
3. A.A. Mamun, A. Mahmood, M. Rahman, Identification and monitoring the change of land use pattern using remote sensing and GIS: a case study of Dhaka City, IOSR J. Mech. Civil Eng., 6 (2013) 20–28.
4. J. Bahrawi, M. Elhag, Consideration of seasonal variations of water radiometric indices for the estimation of soil moisture content in arid environment in Saudi Arabia, Appl. Ecol. Environ. Res., 17 (2019) 285–303.
5. G.A. Schultz, Remote sensing in hydrology, J. Hydrol., 100 (1988) 239–265.
6. S.C. Palmer, T. Kutser, P.D. Hunter, Remote sensing of inland waters: challenges, progress and future directions, Remote Sens. Environ., 157 (2015) 1–8.
7. J.A. Bahrawi, M. Elhag, A.Y. Aldhebiani, H.K. Galal, A.K. Hegazy, E. Alghailani, Soil erosion estimation using remote sensing techniques in Wadi Yalamlam basin, Saudi Arabia, Adv. Mater. Sci. Eng., 2016 (2016), doi: 10.1155/2016/9585962.
8. M. Elhag, T. Kojchevska, S. Boteva, EPM for Soil Loss Estimation in Different Geomorphologic Conditions and Data Conversion by Using GIS, IOP Conference Series: Earth and Environmental Science, IOP Publishing, 221 (2019) 12079–12090.
9. D. Yoder, G. Foster, G. Weesies, K. Renard, D. McCool, J. Lown, Evaluation of the RUSLE Soil Erosion Model, Agricultural Non- Point Source Water Quality Model: Their Use and Application, North Carolina, USA, 2001.
10. M. Abdullah, R. Feagin, L. Musawi, The use of spatial empirical models to estimate soil erosion in arid ecosystems, Environ. Monit. Assess., 189 (2017) 78.
11. N. Baghdadi, S. Gaultier, C. King, Retrieving surface roughness and soil moisture from synthetic aperture radar (SAR) data using neural networks, Can. J. Remote Sens., 28 (2002) 701–711.
12. A. Vrieling, Satellite remote sensing for water erosion assessment: a review, Catena, 65 (2006) 2–18.
13. E. Schoepfer, K. Spröhnle, O. Kranz, X. Blaes, J. Kolomaznik, F. Hilgert, T. Bartalos, T. Kemper, Towards a multi-scale approach for an Earth observation-based assessment of natural resource exploitation in conflict regions, Geocarto Int., 32 (2017) 1139–1158.
14. M. Choi, Y. Hur, A microwave-optical/infrared disaggregation for improving spatial representation of soil moisture using AMSR-E and MODIS products, Remote Sens. Environ., 124 (2012) 259–269.
15. A. Al-Yaari, J.-P. Wigneron, W. Dorigo, A. Colliander, T. Pellarin, S. Hahn, A. Mialon, P. Richaume, R. Fernandez-Moran, L. Fan, Assessment and inter-comparison of recently developed/ reprocessed microwave satellite soil moisture products using ISMN ground-based measurements, Remote Sens. Environ., 224 (2019) 289–303.
16. M. Horritt, D. Mason, A. Luckman, Flood boundary delineation from synthetic aperture radar imagery using a statistical active contour model, Int. J. Remote Sens., 22 (2001) 2489–2507.
17. B. Zhang, S. Wdowinski, T. Oliver-Cabrera, R. Koirala, M. Jo, B. Osmanoglu, Mapping the extent and magnitude of sever flooding induced by hurricane Irma with multi-temporal Sentinel-1 SAR and InSAR observations, International Archives of the Photogrammetry, Remote Sens. Spatial Info. Sci., 42 (2018) 3.
18. D. Van Der Wal, P.M. Herman, A. Wielemaker-van Den Dool, Characterisation of surface roughness and sediment texture of intertidal flats using ERS SAR imagery, Remote Sens. Environ., 98 (2005) 96–109.
19. J.-L. Loizeau, J. Dominik, T. Luzzi, J.-P. Vernet, Sediment core correlation and mapping of sediment accumulation rates in Lake Geneva (Switzerland, France) using volume magnetic susceptibility, J. Great Lakes Res., 23 (1997) 391–402.
20. A. Gaber, F. Soliman, M. Koch, F. El-Baz, Using full-polarimetric SAR data to characterize the surface sediments in desert areas: a case study in El-Gallaba Plain, Egypt, Remote Sens. Environ., 162 (2015) 11–28.
21. D. Amitrano, G. Di Martino, A. Iodice, D. Riccio, G. Ruello, M.N. Papa, F. Ciervo, Y. Koussoube, High Resolution SAR for Monitoring of Reservoirs Sedimentation and Soil Erosion in Semi-Arid Regions, 2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS, IEEE, Melbourne, Australia, 2013, pp. 911–914.
22. N. Prasad, V. Garg, P.K. Thakur, Role of SAR data in water body mapping and reservoir sedimentation assessment, ISPRS Annals of Photogrammetry, Remote Sens. Spatial Inf. Sci., 4 (2018) 151–158.
23. K.-S. Chen, T.-D. Wu, L. Tsang, Q. Li, J. Shi, A.K. Fung, Emission of rough surfaces calculated by the integral equation method with comparison to three-dimensional moment method simulations, IEEE Trans. Geosci. Remote Sens., 41 (2003) 90–101.
24. X. Bai, B. He, X. Li, J. Zeng, X. Wang, Z. Wang, Y. Zeng, Z. Su, First assessment of Sentinel-1A data for surface soil moisture estimations using a coupled water cloud model and advanced integral equation model over the Tibetan Plateau, Remote Sens., 9 (2017) 714.
25. J.A. Bahrawi, M. Elhag, Simulation of sea level rise and its impacts on the Western Coastal Area of Saudi Arabia, Indian J. Geo-Mar. Sci., 45 (2016) 54–61.
26. R. Ochoa-Hueso, S. Munzi, R. Alonso, M. Arróniz-Crespo, A. Avila, V. Bermejo, R. Bobbink, C. Branquinho, L. Concostrina-Zubiri, C. Cruz, Ecological impacts of atmospheric pollution and interactions with climate change in terrestrial ecosystems of the Mediterranean Basin: current research and future directions, Environ. Pollut., 227 (2017) 194–206.
27. G. Gnanachandrasamy, T. Ramkumar, S. Venkatramanan, S. Chung, S. Vasudevan, Identification of saline water intrusion in part of Cauvery deltaic region, Tamil Nadu, Southern India: using GIS and VES methods, Mar. Geophys. Res., 37 (2016) 113–126.
28. S. Fatorić, L. Chelleri, Vulnerability to the effects of climate change and adaptation: the case of the Spanish Ebro Delta, Ocean Coast, Management, 60 (2012) 1–10.
29. K.T. Yılmaz, D. Harmancı, Y. Ünlükaplan, H. Alphan, L. Tezcan, Impacts of Agriculture on Coastal Dunes and a Proposal for Adaptation to Climate Change: the Case of the Akyatan Area in the Seyhan Delta, In: Climate Change Impacts on Basin Agroecosystems, Springer, Cham, Switzerland, 2019, pp. 165–182.
30. J.L. Spaet, M.L. Berumen, Fish market surveys indicate unsustainable elasmobranch fisheries in the Saudi Arabian Red Sea, Fish. Res., 161 (2015) 356–364.
31. J.R. Clark, Coastal Zone Management Handbook, CRC Press, New York, USA, 2018.
32. M. Karuppasamy, M.A.B. Qurban, P.K. Krishnakumar, Oceanographic and Biological Aspects of the Red Sea, N. Rasul, I. Stewart, Eds., Oceanography, Springer, Cham, Switzerland, 2018, p. 147.
33. M. Elhag, A.K. Hegazy, A.A. Alatar, M. Faisal, M. El-Bana, J.A. Bahrawi, A.A.M. Al-Ghamdi, Population demography and global sensitivity analysis of Avicennia marina on the eastern and western coasts of Saudi Arabia, Koedoe, 57 (2015), https://doi.org/10.4102/koedoe.v57i1.1317.
34. M. Karuppasamy, M.A.B. Qurban, P.K. Krishnakumar, Metal Contamination Assessment in the Sediments of the Red Sea Coast of Saudi Arabia, Oceanographic and Biological Aspects of the Red Sea, Springer, Cham, Switzerland, 2019, pp. 147–170.
35. F. De Zan, A.M. Guarnieri, TOPSAR: terrain observation by progressive scans, IEEE Trans. Geosci. Remote Sens., 44 (2006) 2352–2360.
36. M. Berger, J. Moreno, J.A. Johannessen, P.F. Levelt, R.F. Hanssen, ESA’s sentinel missions in support of Earth system science, Remote Sens. Environ., 120 (2012) 84–90.
37. H. Laur, P. Bally, P. Meadows, J. Sánchez, B. Schättler, E. Lopinto, D. Esteban, ERS SAR Calibration: Derivation of the Backscattering Coefficient σ° in ESA ERS SAR PRI Products, ESA/ESRIN, ES-TN-RS-PM-HL09, 2003.
38. D. Small, A. Schubert, Guide to ASAR Geocoding, ESA-ESRIN Technical Note RSL-ASAR-GC-AD, 2008.
39. J.-S. Lee, J.-H. Wen, T.L. Ainsworth, K.-S. Chen, A.J. Chen, Improved sigma filter for speckle filtering of SAR imagery, IEEE Trans. Geosci. Remote Sens., 47 (2009) 202–213.
40. B. Osmanoğlu, F. Sunar, S. Wdowinski, E. Cabral-Cano, Time series analysis of InSAR data: Methods and trends, ISPRS J. Photogramm. Remote Sens., 115 (2016) 90–102.
41. B. Rosich, P. Meadows, Absolute Calibration of ASAR Level 1 Products; ESA/ESRIN, ENVI-CLVL-EOPG-TN-03–0010, 2004.
42. M. Auclair, M. Lamothe, S. Huot, Measurement of anomalous fading for feldspar IRSL using SAR, Radiat. Meas., 37 (2003) 487–492.
43. S. Wang, J. Li, B. Zhang, E. Spyrakos, A.N. Tyler, Q. Shen, F. Zhang, T. Kuster, M.K. Lehmann, Y. Wu, Trophic state assessment of global inland waters using a MODIS-derived Forel-Ule index, Remote Sens. Environ., 217 (2018) 444–460.
44. A. Psilovikos, S. Margoni, An empirical model of sediment deposition processes in Lake Kerkini, Central Macedonia Greece, Environ. Monit. Assess., 164 (2010) 573–592.
45. R.G. Congalton, R.A. Mead, A quantitative method to test for consistency and correctness in photointerpretation, Photogramm. Eng. Remote Sens., 49 (1983) 69–74.
46. A.Y. Aldhebiani, M. Elhag, A.K. Hegazy, H.K. Galal, N.S. Mufareh, Consideration of NDVI thematic changes in density analysis and floristic composition of Wadi Yalamlam, Saudi Arabia, Geosci. Instrum. Methods Data Syst., 7 (2018) 297–306.
47. P.H. Swain, S.M. Davis, Remote sensing: the quantitative approach, IEEE Trans. Pattern Anal. Mach. Intell., PAMI-3 (1981) 713–714.
48. P.S. Chavez, Image-based atmospheric corrections-revisited and improved, Photogramm. Eng. Remote Sens., 62 (1996) 1025–1035.
49. P. Manjusree, L.P. Kumar, C.M. Bhatt, G.S. Rao, V. Bhanumurthy, Optimization of threshold ranges for rapid flood inundation mapping by evaluating backscatter profiles of high incidence angle SAR images, Int. J. Disaster Risk Sci., 3 (2012) 113–122.
50. M. Elhag, J.A. Bahrawi, Sedimentation mapping in shallow shoreline of arid environments using active remote sensing data, Nat. Hazards, 99 (2019) 879–894.
51. J.-S. Lee, L. Jurkevich, P. Dewaele, P. Wambacq, A. Oosterlinck, Speckle filtering of synthetic aperture radar images: a review, Remote Sens. Rev., 8 (1994) 313–340.
52. P. Matgen, G. Schumann, J.-B. Henry, L. Hoffmann, L. Pfister, Integration of SAR-derived river inundation areas, highprecision topographic data and a river flow model toward near real-time flood management, Int. J. Appl. Earth Obs. Geoinf., 9 (2007) 247–263.
53. L. Billa, B. Pradhan, Semi-automated procedures for shoreline extraction using single RADARSAT-1 SAR image, Estuarine Coastal Shelf Sci., 95 (2011) 395–400.
54. L.M. Dery, B. Nachman, F. Rubbo, A. Schwartzman, Weakly supervised classification in high energy physics, J. High Energy Phys., 2017 (2017) 145.
55. J. Senthilnath, M. Kandukuri, A. Dokania, K. Ramesh, Application of UAV imaging platform for vegetation analysis based on spectral-spatial methods, Comp. Electron. Agric., 140 (2017) 8–24.
56. J. Reiche, R. Lucas, A.L. Mitchell, J. Verbesselt, D.H. Hoekman, J. Haarpaintner, J.M. Kellndorfer, A. Rosenqvist, E.A. Lehmann, C.E. Woodcock, Combining satellite data for better tropical forest monitoring, Nat. Clim. Change, 6 (2016) 120.
57. J.A.P. Pavanelli, J.R. Santos, L.S. Galvão, M. Xaud, H.A.M. Xaud, PALSAR-2/ALOS-2 and OLI/LANDSAT-8 data integration for land use and land cover mapping in northern Brazilian Amazon, Boletim de Ciências Geodésicas, 24 (2018) 250–269.
58. J.J. Erinjery, M. Singh, R. Kent, Mapping and assessment of vegetation types in the tropical rainforests of the Western Ghats using multispectral Sentinel-2 and SAR Sentinel-1 satellite imagery, Remote Sens. Environ., 216 (2018) 345–354.
59. A. Whyte, K.P. Ferentinos, G.P. Petropoulos, A new synergistic approach for monitoring wetlands using Sentinels-1 and 2 data with object-based machine learning algorithms, Environ. Modell. Software, 104 (2018) 40–54.
60. P. Gamba, F. Dell’Acqua, B.V. Dasarathy, Urban remote sensing using multiple data sets: past, present, and future, Inf. Fusion, 6 (2005) 319–326.
61. C. Corbane, J.-F. Faure, N. Baghdadi, N. Villeneuve, M. Petit, Rapid urban mapping using SAR/optical imagery synergy, Sensors, 8 (2008) 7125–7143.
62. J. Haas, Y. Ban, Sentinel-1A SAR and sentinel-2A MSI data fusion for urban ecosystem service mapping, Remote Sens. Appl.: Soc. Environ., 8 (2017) 41–53.
63. M. Zribi, O. Taconet, S. Le Hégarat-Mascle, D. Vidal-Madjar, C. Emblanch, C. Loumagne, M. Normand, Backscattering behavior and simulation comparison over bare soils using SIRC/ X-SAR and ERASME 1994 data over Orgeval, Remote Sens. Environ., 59 (1997) 256–266.
64. D. Amitrano, F. Ciervo, P. Di Bianco, G. Di Martino, A. Iodice, F. Mitidieri, D. Riccio, G. Ruello, M.N. Papa, Y. Koussoube, Monitoring Soil Erosion and Reservoir Sedimentation in Semiarid Region through Remote Sensed SAR Data: A Case Study in Yatenga Region, Burkina Faso, Engineering Geology for Society and Territory-Volume 3, Springer, Cham, Switzerland, 2015, pp. 539–542.
65. L. White, B. Brisco, M. Dabboor, A. Schmitt, A. Pratt, A collection of SAR methodologies for monitoring wetlands, Remote Sens., 7 (2015) 7615–7645.
66. V. Abrol, M. Ben-Hur, F.G. Verheijen, J.J. Keizer, M.A. Martins, H. Tenaw, L. Tchehansky, E.R. Graber, Biochar effects on soil water infiltration and erosion under seal formation conditions: rainfall simulation experiment, J. Soils Sediments, 16 (2016) 2709–2719.
67. M. Elhag, H.K. Galal, H. Alsubaie, Understanding of morphometric features for adequate water resource management in arid environments, Geosci. Instrum. Methods Data Syst., 6 (2017) 293.
68. A.R. Carrasco, Ó. Ferreira, D. Roelvink, Coastal lagoons and rising sea level: a review, Earth Sci. Rev., 154 (2016) 356–368.
69. M. Elhag, Inconsistencies of SEBS model output based on the model inputs: Global sensitivity contemplations, J Indian Soc. Remote, 44 (2016) 435–442.
70. S. Brown, R.J. Nicholls, P. Goodwin, I. Haigh, D. Lincke, A. Vafeidis, J. Hinkel, Quantifying Land and People Exposed to Sea‐Level Rise with No Mitigation and 1.5°C and 2.0°C Rise in Global Temperatures to Year 2300, Earth’s Future, 6 (2018) 583–600.
71. M. Abdulrazzak, A. Elfeki, A. Kamis, M. Kassab, N. Alamri, A. Chaabani, K. Noor, Flash flood risk assessment in urban arid environment: case study of Taibah and Islamic universities’ campuses, Medina, Kingdom of Saudi Arabia, Geomatics, Nat. Hazards Risk, 10 (2019) 780–796.
72. W. Li, H. El-Askary, M.A. Qurban, J. Li, K. ManiKandan, T. Piechota, Using multi-indices approach to quantify mangrove changes over the Western Arabian Gulf along Saudi Arabia coast, Ecol. Indic., 102 (2019) 734–745.