Enhancing performance of multi-temporal tropical river landform classification through downscaling approaches

References

• Bangira, T., S. M. Alfieri, M. Menenti, and A. van Niekerk. 2019. ”Comparing Thresholding with Machine Learning Classifiers for Mapping Complex Water.” Remote Sensing 11 (11): 1351. ARTN 1351. doi:10.3390/rs11111351.
   Web of Science ®Google Scholar
• Boothroyd, R. J., R. D. Williams, T. B. Hoey, B. Barrett, and O. A. Prasojo. 2021. ”Applications of Google Earth Engine in Fluvial Geomorphology for Detecting River Channel Change”. Wiley Interdisciplinary Reviews-Water 8(1). ARTN e21496. doi:10.1002/wat2.1496.
   Web of Science ®Google Scholar
• Brodu, N. 2017. “Super-Resolving Multiresolution Images with Band-Independent Geometry of Multispectral Pixels.” IEEE Transactions on Geoscience and Remote Sensing 55 (8): 4610–4617. doi:10.1109/TGRS.2017.2694881.
   Web of Science ®Google Scholar
• Carbonneau, P. E., B. Belletti, M. Micotti, B. Lastoria, M. Casaioli, S. Mariani, G. Marchetti, and S. Bizzi. 2020. “UAV-Based Training for Fully Fuzzy Classification of Sentinel-2 Fluvial Scenes.” Earth Surface Processes and Landforms 45 (13): 3120–3140. doi:10.1002/esp.4955.
   Web of Science ®Google Scholar
• Carlson, T. N., and D. A. Ripley. 1997. “On the Relation Between NDVI, Fractional Vegetation Cover, and Leaf Area Index.” Remote Sensing of Environment 62 (3): 241–252. doi:10.1016/S0034-4257(97)00104-1.
   Web of Science ®Google Scholar
• Daryaei, A., H. Sohrabi, C. Atzberger, and M. Immitzer. 2020. ”Fine-Scale Detection of Vegetation in Semi-Arid Mountainous Areas with Focus on Riparian Landscapes Using Sentinel-2 and UAV Data.” Computers and Electronics in Agriculture 177: 105686. doi:10.1016/j.compag.2020.105686, ARTN 105686.
   Web of Science ®Google Scholar
• Del Rio-Mena, T., L. Willemen, G. T. Tesfamariam, O. Beukes, and A. Nelson. 2020. ”Remote Sensing for Mapping Ecosystem Services to Support Evaluation of Ecological Restoration Interventions in an Arid Landscape.” Ecological Indicators 113: 106182. doi:10.1016/j.ecolind.2020.106182, ARTN 106182.
   Web of Science ®Google Scholar
• Demarchi, L., S. Bizzi, and H. Piegay. 2016. ”Hierarchical Object-Based Mapping of Riverscape Units and In-Stream Mesohabitats Using LiDar and VHR Imagery.” Remote Sensing 8 (2): 97. ARTN 97. doi:10.3390/rs8020097.
   Web of Science ®Google Scholar
• Faustino-Eslava, D. V., C. B. Dimalanta, G. P. Yumul, N. T. Servando, and N. A. Cruz. 2013. “Geohazards, Tropical Cyclones and Disaster Risk Management in the Philippines: Adaptation in a Changing Climate Regime.” Journal of Environmental Science and Management 16 (1): 84–97. doi:10.47125/jesam/2013_1/10.
   Web of Science ®Google Scholar
• Freitas, P., G. Vieira, J. Canario, D. Folhas, and W. F. Vincent. 2019. “Identification of a Threshold Minimum Area for Reflectance Retrieval from Thermokarst Lakes and Ponds Using Full-Pixel Data from Sentinel-2.” Remote Sensing 11 (6): ARTN 657. doi:10.3390/rs11060657.
   Web of Science ®Google Scholar
• Gao, B. C. 1996. “NDWI - a Normalized Difference Water Index for Remote Sensing of Vegetation Liquid Water from Space.” Remote Sensing of Environment 58 (3): 257–266. doi:10.1016/S0034-4257(96)00067-3.
   Web of Science ®Google Scholar
• Gilvear, D., and R. Bryant. 2016. “Analysis of Remotely Sensed Data for Fluvial Geomorphology and River Science.” In Tools in Fluvial Geomorphology, 103–132.
   Google Scholar
• Gurnell, A. 2014. “Plants as River System Engineers.” Earth Surface Processes and Landforms 39 (1): 4–25. doi:10.1002/esp.3397.
   Web of Science ®Google Scholar
• Hohensinner, S., G. Egger, S. Muhar, L. Vaudor, and H. Piegay. 2021. “What Remains Today of Pre-Industrial Alpine Rivers? Census of Historical and Current Channel Patterns in the Alps.” River Research and Applications 37 (2): 128–149. doi:10.1002/rra.3751.
   Web of Science ®Google Scholar
• Huete, A., K. Didan, T. Miura, E. P. Rodriguez, X. Gao, and L. G. Ferreira. 2002. ”Overview of the Radiometric and Biophysical Performance of the MODIS Vegetation Indices.” Remote Sensing of Environment 83 (1–2): 195–213. doi:10.1016/S0034-4257(02)00096-2.
   Web of Science ®Google Scholar
• Huylenbroeck, L., M. Laslier, S. Dufour, B. Georges, P. Lejeune, and A. Michez. 2020. ”Using Remote Sensing to Characterize Riparian Vegetation: A Review of Available Tools and Perspectives for Managers.” Journal of Environmental Management 267: 110652. doi:10.1016/j.jenvman.2020.110652, ARTN 110652.
   PubMed Web of Science ®Google Scholar
• Jiang, Z. Y., A. R. Huete, K. Didan, and T. Miura. 2008. “Development of a Two-Band Enhanced Vegetation Index Without a Blue Band.” Remote Sensing of Environment 112 (10): 3833–3845. doi:10.1016/j.rse.2008.06.006.
   Web of Science ®Google Scholar
• Korhonen, L., P. P. Hadi, M. Rautiainen, and M. Rautiainen. 2017. “Comparison of Sentinel-2 and Landsat 8 in the Estimation of Boreal Forest Canopy Cover and Leaf Area Index.” Remote Sensing of Environment 195: 259–274. doi:10.1016/j.rse.2017.03.021.
   Web of Science ®Google Scholar
• Kuan, H. F., J. Li, X. J. Zhang, J. P. Zhang, H. Cui, and Q. Sun. 2020. ”Remote Estimation of Water Quality Parameters of Medium- and Small-Sized Inland Rivers Using Sentinel-2 Imagery.” Water 12 (11): 3124. ARTN 3124. doi:10.3390/w12113124.
   Web of Science ®Google Scholar
• Kubota, H., R. Shirooka, J. Matsumoto, E. O. Cayanan, and F. D. Hilario. 2017. ”Tropical Cyclone Influence on the Long-Term Variability of Philippine Summer Monsoon Onset.’ Progress in Earth and Planetary Science 4: ARTN 27 10.1186/s40645-017-0138-5.
   Web of Science ®Google Scholar
• Lanaras, C., J. Bioucas-Dias, S. Galliani, E. Baltsavias, and K. Schindler. 2018. “Super-Resolution of Sentinel-2 Images: Learning a Globally Applicable Deep Neural Network.” Isprs Journal of Photogrammetry and Remote Sensing 146: 305–319. doi:10.1016/j.isprsjprs.2018.09.018.
   Web of Science ®Google Scholar
• Laso, F. J., F. L. Benitez, G. Rivas-Torres, C. Sampedro, and J. Arce-Nazario. 2020. ”Land Cover Classification of Complex Agroecosystems in the Non-Protected Highlands of the Galapagos Islands.” Remote Sensing 12 (1): 65. ARTN 65. doi:10.3390/rs12010065.
   Web of Science ®Google Scholar
• Liu, Z. F., Y. L. Zhao, C. Colin, F. P. Siringan, and Q. Wu. 2009. “Chemical Weathering in Luzon, Philippines from Clay Mineralogy and Major-Element Geochemistry of River Sediments.” Applied Geochemistry 24 (11): 2195–2205. doi:10.1016/j.apgeochem.2009.09.025.
   Web of Science ®Google Scholar
• Mandarino, A., M. Maerker, and M. Firpo. 2019. “Channel Planform Changes Along the Scrivia River Floodplain Reach in Northwest Italy from 1878 to 2016.” Quaternary Research 91 (2): 620–637. doi:10.1017/qua.2018.67.
   Web of Science ®Google Scholar
• Maxwell, A. E., T. A. Warner, and F. Fang. 2018. “Implementation of Machine-Learning Classification in Remote Sensing: An Applied Review.” International Journal of Remote Sensing 39 (9): 2784–2817. doi:10.1080/01431161.2018.1433343.
   Web of Science ®Google Scholar
• Phiri, D., M. Simwanda, S. Salekin, V. R. Nyirenda, Y. Murayama, and M. Ranagalage. 2020. ”Sentinel-2 Data for Land Cover/Use Mapping: A Review.” Remote Sensing 12 (14): 2291. ARTN 2291. doi:10.3390/rs12142291.
   Web of Science ®Google Scholar
• Roy, D. P., and O. Dikshit. 1994. “Investigation of Image Resampling Effects Upon the Textural Information-Content of a High-Spatial-Resolution Remotely-Sensed Image.” International Journal of Remote Sensing 15 (5): 1123–1130. doi:10.1080/01431169408954146.
   Web of Science ®Google Scholar
• Selva, M., B. Aiazzi, F. Butera, L. Chiarantini, and S. Baronti. 2015. “Hyper-Sharpening: A First Approach on SIM-GA Data.” Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8 (6): 3008–3024. doi:10.1109/Jstars.2015.2440092.
   Web of Science ®Google Scholar
• Serlet, A. J., A. M. Gurnell, G. Zolezzi, G. Wharton, P. Belleudy, and C. Jourdain. 2018. “Biomorphodynamics of Alternate Bars in a Channelized, Regulated River: An Integrated Historical and Modelling Analysis.” Earth Surface Processes and Landforms 43 (9): 1739–1756. doi:10.1002/esp.4349.
   Web of Science ®Google Scholar
• Sonobe, R., Y. Yamaya, H. Tani, X. F. Wang, N. Kobayashi, and K. Mochizuki. 2018. ”Crop Classification from Sentinel-2-Derived Vegetation Indices Using Ensemble Learning.” Journal of Applied Remote Sensing 12 (2): 1. Artn 026019. doi:10.1117/1.Jrs.12.026019.
   Web of Science ®Google Scholar
• Spada, D., P. Molinari, W. Bertoldi, A. Vitti, and G. Zolezzi. 2018. ”Multi-Temporal Image Analysis for Fluvial Morphological Characterization with Application to Albanian Rivers.” Isprs International Journal of Geo-Information 7 (8): 314. ARTN 314. doi:10.3390/ijgi7080314.
   Web of Science ®Google Scholar
• Vargas-Luna, A., G. Duro, A. Crosato, and W. Uijttewaal. 2019. “Morphological Adaptation of River Channels to Vegetation Establishment: A Laboratory Study.” Journal of Geophysical Research-Earth Surface 124 (7): 1981–1995. doi:10.1029/2018jf004878.
   Web of Science ®Google Scholar
• Wang, Q. M., W. Z. Shi, P. M. Atkinson, and Y. L. Zhao. 2015. “Downscaling MODIS Images with Area-To-Point Regression Kriging.” Remote Sensing of Environment 166: 191–204. doi:10.1016/j.rse.2015.06.003.
   Web of Science ®Google Scholar
• Wang, Q. M., W. Z. Shi, Z. B. Li, and P. M. Atkinson. 2016. “Fusion of Sentinel-2 Images.” Remote Sensing of Environment 187: 241–252. doi:10.1016/j.rse.2016.10.030.
   Web of Science ®Google Scholar
• Welber, M., W. Bertoldi, and M. Tubino. 2012. “The Response of Braided Planform Configuration to Flow Variations, Bed Reworking and Vegetation: The Case of the Tagliamento River, Italy.” Earth Surface Processes and Landforms 37 (5): 572–582. doi:10.1002/esp.3196.
   Web of Science ®Google Scholar
• Yang, X. C., S. S. Zhao, X. B. Qin, N. Zhao, and L. G. Liang. 2017. ”Mapping of Urban Surface Water Bodies from Sentinel-2 MSI Imagery at 10 M Resolution via NDWI-Based Image Sharpening.” Remote Sensing 9 (6): 596. ARTN 596. doi:10.3390/rs9060596.
   Web of Science ®Google Scholar
• Zheng, H. R., P. J. Du, J. K. Chen, J. S. Xia, E. Z. Li, Z. G. Xu, X. J. Li, and N. Yokoya. 2017. ”Performance Evaluation of Downscaling Sentinel-2 Imagery for Land Use and Land Cover Classification by Spectral-Spatial Features.” Remote Sensing 9 (12): 1274. ARTN 1274. doi:10.3390/rs9121274.
   Web of Science ®Google Scholar