Downscaling of passive microwave soil moisture retrievals based on spectral analysis

References

• Bolten, J. D., W. T. Crow, X. Zhan, T. J. Jackson, and C. A. Reynolds. 2010. “Evaluating the Utility of Remotely Sensed Soil Moisture Retrievals for Operational Agricultural Drought Monitoring.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 3: 57–66. doi:10.1109/JSTARS.2009.2037163.
   Web of Science ®Google Scholar
• Carlson, T. 2007. “An Overview of the “Triangle Method” for Estimating Surface Evapotranspiration and Soil Moisture from Satellite Imagery.” Sensors 7: 1612–1629. doi:10.3390/s7081612.
   Web of Science ®Google Scholar
• Chauhan, N. S., S. Miller, and P. Ardanuy. 2003. “Spaceborne Soil Moisture Estimation at High Resolution: A microwave-optical/IR Synergistic Approach.” International Journal of Remote Sensing 24: 4599–4622. doi:10.1080/0143116031000156837.
   Web of Science ®Google Scholar
• Choi, M., and Y. Hur. 2012. “A Microwave-Optical/Infrared Disaggregation for Improving Spatial Representation of Soil Moisture Using AMSR-E and MODIS Products.” Remote Sensing of Environment 124: 259–269. doi:10.1016/j.rse.2012.05.009.
   Web of Science ®Google Scholar
• Cui, Y., D. Long, Y. Hong, Z. Han, C. Zeng, and X. Hou. 2016a. “Evaluation of the FY-3B/MWRI Soil Moisture Product on the Central Tibetan Plateau.” Proceedings of the IEEE 2016: 1655–1658. doi:10.1109/IGARSS.2016.7729423.
   Google Scholar
• Cui, Y., D. Long, Y. Hong, C. Zeng, J. Zhou, Z. Han, R. Liu, and W. Wan. 2016b. “Validation and Reconstruction of FY-3B/MWRI Soil Moisture Using an Artificial Neural Network Based on Reconstructed MODIS Optical Products over the Tibetan Plateau.” Journal of Hydrology 543: 242–254. doi:10.1016/j.jhydrol.2016.10.005.
   Web of Science ®Google Scholar
• Dobriyal, P., A. Qureshi, R. Badola, and S. A. Hussain. 2012. “A Review of the Methods Available for Estimating Soil Moisture and Its Implications for Water Resource Management.” Journal of Hydrology 458: 110–117. doi:10.1016/j.jhydrol.2012.06.021.
   Web of Science ®Google Scholar
• Im, J., S. Park, J. Rhee, J. Baik, and M. Choi. 2016. “Downscaling of AMSR-E Soil Moisture with MODIS Products Using Machine Learning Approaches.” Environmental Earth Sciences 75: 1120–1139. doi:10.1007/s12665-016-5917-6.
   Web of Science ®Google Scholar
• Kim, J., and T. S. Hogue. 2012. “Improving Spatial Soil Moisture Representation though Integration of AMSR-E and MODIS Products.” IEEE Transactions on Geoscience and Remote Sensing 50: 446–460. doi:10.1109/TGRS.2011.2161318.
   Web of Science ®Google Scholar
• Ko, A., G. Mascaro, and E. R. Vivoni. 2016. “Irrigation Impacts on Scaling Properties of Soil Moisture and the Calibration of a Multifractal Downscaling Model.” IEEE Transactions on Geoscience and Remote Sensing 54: 3128–3142. doi:10.1109/TGRS.2015.2511628.
   Web of Science ®Google Scholar
• Lu, H., T. Koike, K. Yang, Z. Y. Hu, X. D. Xu, M. Rasmy, D. Kuria, and K. Tamagawa. 2012. “Improving Land Surface Soil Moisture and Energy Flux Simulations over the Tibetan Plateau by the Assimilation of the Microwave Remote Sensing Data and the GCM Output into a Land Surface Model.” International Journal of Applied Earth Observation and Geoinformation 17: 43–54. doi:10.1016/j.jag.2011.09.006.
   Web of Science ®Google Scholar
• Malbéteau, Y., O. Merlin, B. Molero, C. Rüdiger, and S. Bacon. 2016. “DisPATCh as a Tool to Evaluate Coarse-Scale Remotely Sensed Soil Moisture Using Localized in Situ Measurements: Application to SMOS and AMSR-E Data in Southeastern Australia.” International Journal of Applied Earth Observation and Geoinformation 45: 221–234. doi:10.1016/j.jag.2015.10.002.
   Web of Science ®Google Scholar
• Merlin, O., A. G. Chehbouni, Y. H. Kerr, E. G. Njoku, and D. Entekhabi. 2005. “A Combined Modeling and Multispectral/Multiresolution Remote Sensing Approach for Disaggregation of Surface Soil Moisture: Application to SMOS Configuration.” IEEE Transactions on Geoscience and Remote Sensing 43: 2036–2050. doi:10.1109/TGRS.2005.853192.
   Web of Science ®Google Scholar
• Merlin, O., M. J. Escorihuela, M. A. Mayoral, O. Hagolle, A. A. Bitar, and Y. Kerr. 2013. “Self-Calibrated Evaporation-Based Disaggregation of SMOS Soil Moisture: An Evaluation Study at 3 Km and 100 M Resolution in Catalunya, Spain.” Remote Sensing of Environment 130: 25–38. doi:10.1016/j.se.2008.06.012.
   Web of Science ®Google Scholar
• Merlin, O., J. P. Walker, A. Chehbouni, and Y. Kerr. 2008. “Towards Deterministic Downscaling of SMOS Soil Moisture Using MODIS Derived Soil Evaporative Efficiency.” Remote Sensing of Environment 112: 3935–3946. doi:10.1016/j.se.2008.06.012.
   Web of Science ®Google Scholar
• Milly, P. C. D., K. A. Dunne, and A. V. Vecchia. 2005. “Global Pattern of Trends in Streamflow and Water Availability in a Changing Climate.” Nature 438: 347–350. doi:10.1038/nature04312.
   PubMed Web of Science ®Google Scholar
• Mladenova, I. E., T. J. Jackson, E. Njoku, R. Bindlish, S. Chan, M. H. Cosh, T. R. H. Holmes, et al. 2014. “Remote Monitoring of Soil Moisture Using Passive Microwave-Based techniques—Theoretical Basis and Overview of Selected Algorithms for AMSR-E.” Remote Sensing of Environment 144: 197–213. doi:10.1016/j.rse.2014.01.013.
   Web of Science ®Google Scholar
• Montopoli, M., N. Pierdicca, and F. S. Marzano. 2012. “Spectral Downscaling of Integrated Water Vapor Fields from Satellite Infrared Observations.” IEEE Transactions on Geoscience and Remote Sensing 50: 415–428. doi:10.1109/TGRS.2011.2161996.
   Web of Science ®Google Scholar
• Njoku, E. G., T. J. Jackson, V. Lakshmi, T. K. Chan, and S. V. Nghiem. 2003. “Soil Moisture Retrieval from AMSR-E.” IEEE Transactions on Geoscience and Remote Sensing 41: 215–229. doi:10.1109/TGRS.2002.808243.
   Web of Science ®Google Scholar
• Parinussa, R. M., G. Wang, T. R. H. Holmes, Y. Y. Liu, A. J. Dolman, R. A. M. De Jeu, T. Jiang, P. Zhang, and J. Shi. 2014. “Global Surface Soil Moisture from the Microwave Radiation Imager Onboard the Fengyun-3B Satellite.” International Journal of Remote Sensing 35: 7007–7029. doi:10.1080/01431161.2014.960622.
   Web of Science ®Google Scholar
• Piles, M., A. Camps, M. Vall-Llossera, I. Corbella, R. Panciera, C. Rudiger, Y. H. Kerr, and J. Walker. 2011. “Downscaling SMOS-derived Soil Moisture Using MODIS Visible/Infrared Data.” IEEE Transactions on Geoscience and Remote Sensing 49: 3156–3166. doi:10.1109/TGRS.2011.2120615.
   Web of Science ®Google Scholar
• Ray, R. L., J. M. Jacobs, and M. H. Cosh. 2010. “Landslide Susceptibility Mapping Using Downscaled AMSR-E Soil Moisture: A Case Study from Cleveland Corral, California, US.” Remote Sensing of Environment 114: 2624–2636. doi:10.1016/j.rse.2010.05.033.
   Web of Science ®Google Scholar
• Rebora, N., L. Ferraris, J. Von Hardenberg, and A. Provenzale. 2006. “RainFARM: Rainfall Downscaling by a Filtered Autoregressive Model.” Journal of Hydrometeorology 7: 724–738. doi:10.1175/JHM517.1.
   Web of Science ®Google Scholar
• Seneviratne, S. I., T. Corti, E. L. Davin, M. Hirschi, E. B. Jaeger, I. Lehner, B. Orlowsky, and A. J. Teuling. 2010. “Investigating Soil Moisture-Climate Interactions in a Changing Climate: A Review.” Earth-Science Review 99: 125–161. doi:10.1016/j.earscirev.2010.02.004.
   Web of Science ®Google Scholar
• Song, C., and L. Jia. 2016. “A Method for Downscaling FengYun-3B Soil Moisture Based on Apparent Thermal Inertia.” Remote Sensing 8: 703. doi:10.3390/rs8090703.
   Web of Science ®Google Scholar
• Song, C., L. Jia, and M. Menenti. 2014. “Retrieving High-Resolution Surface Soil Moisture by Downscaling AMSR-E Brightness Temperature Using MODIS LST and NDVI Data.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7: 935–942. doi:10.1109/JSTARS.2013.2272053.
   Web of Science ®Google Scholar
• Wang, A. Q., C. Xie, P. Liu, and L. L. Xu. 2015. “Unmixing Low-Resolution Soil Moisture Using Spectrum Downscaling and Evapotranspiration.” Proceedings of the IEEE 2015: 1976–1979. doi:10.1109/IGARSS.2015.7326184.
   Google Scholar
• Wang, J., Z. Ling, Y. Wang, and H. Zeng. 2016. “Improving Spatial Representation of Soil Moisture by Integration of Microwave Observations and the Temperature–Vegetation–Drought Index Derived from MODIS Products.” ISPRS Journal of Photogrammetry and Remote Sensing 113: 144–154. doi:10.1016/j.isprsjprs.2016.01.009.
   Web of Science ®Google Scholar
• Yu, G., L. Di, and W. Yang. 2008. “Downscaling of Global Soil Moisture Using Auxiliary Data.” Proceeding of the IEEE 3: 230–233. doi:10.1109/IGARSS.2008.4779325.
   Google Scholar
• Zhao, W., and A. Li. 2015. “A Comparison Study on Empirical Microwave Soil Moisture Downscaling Methods Based on the Integration of Microwave-optical/IR Data on the Tibetan Plateau.” International Journal of Remote Sensing 36: 4986–5002. doi:10.1080/01431161.2015.1041178.
   Web of Science ®Google Scholar