Review on Soil Moisture Remote Sensing Techniques and Spatial Resolution Downscaling Methods

فصلنامه آب و توسعه پایدار

Article 8, Volume 7, Issue 4 - Serial Number 18, March 2021, Pages 61-72   

Document Type: Review Article

DOI: 10.22067/jwsd.v7i4.87346

Authors

E Ghafari; A.R. Faridhosseini

Department of Water Science and Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.

Abstract

Soil moisture is a valuable parameter for water cycle over lands, controlling water fluxes between the atmosphere, land surface and subsurface, through evaporation and plant transpiration. Measurement and recording of soil moisture observations as in-situ data cannot meet human needs. The availability of global soil moisture maps which is possible using remote sensing sensors, will benefit many application, including precipitation forecasting, flood prediction, drought monitoring and agricultural related applications. These maps must be provided at suitable scale. This is done by spatially downscaling of the soil moisture observations. Spatial downscaling of soil moisture measured by satellites should provide two purposes in order to use this parameter in hydrological, meteorological and agricultural applications: 1- Achieving to medium resolution (approximately 10 km), 2- Sufficient retrieval accuracy. It is evident that fulfilling both purposes using a single sensor is difficult. Therefore, complementary downscaling using a range of observation types has been proposed as an approach to overcome these scale and accuracy issues, by combining the merits from different sensors. In this paper, the soil moisture remote sensing techniques and as well, two basic available downscaling approaches which have the potential to fulfil the stated requirements on resolution and accuracy are introduced and their pros and cons are investigated.

Keywords

Remote Sensing of Soil Moisture; Downscaling Algorithms; Spatial Resolution

References

غفاری، ا.، داوری، ک. و فریدحسینی، ع.ر. 1399. توسعه الگوریتم های بهبود یافته برای ریزمقیاس‏سازی رطوبت خاک سطحی ماهواره SMAP با استفاده از داده ماهواره‌های نوری/حرارتی. نشریه آبیاری و زهکشی ایران، 14(2): 660-650.
کرمی، ا.، مرادی، ح. و موسیوند، ع. 1399. بهبود وضوح مکانی داده‌های رطوبت خاک ماهواره SMAP با روش تلفیق رادار-مایکروویو در آبخیز فیروزآباد اردبیل. نشریه پژوهش‏های آبخیزداری. اصلاح‏شده برای چاپ.
متکان، ع.، عاشورلو، د.، عقیقی، ح. و گل‏صفتان، غ. 1397. ریزمقیاس‏سازی داده رطوبت ESA با استفاده از تصاویر ماهواره NOAA. فصلنامه انجمن جغرافیای ایران، 16(57): 157-143.
Akbar R. and Moghaddam M. 2015. A Combined Active–Passive Soil Moisture Estimation Algorithm With Adaptive Regularization in Support of SMAP. IEEE Transactions on Geoscience and Remote Sensing, 53: 3312-3324.
Bindlish R. and Barros A.P. 2002. Subpixel variability of remotely sensed soil moisture: an inter-comparison study of SAR and ESTAR. IEEE Transactions on Geoscience and Remote Sensing, 40: 326-337.
Cable J., Kovacs J., Shang J. and Jiao X. 2014. Multi-Temporal Polarimetric RADARSAT-2 for Land Cover Monitoring in Northeastern Ontario, Canada. Remote Sensing, 6: 2372-2392.
Carlson T.N., Gillies R.R. and Perry E.M. 1994. A method to make use of thermal infrared temperature and NDVI measurements to infer surface soil water content and fractional vegetation cover. Remote Sensing Reviews, 9: 161-173.
Carlson, T.N., Gillies R.R. and Schmugge T.J. 1995. An interpretation of methodologies for indirect measurement of soil water content. Agricultural and Forest Meteorology, 77: 191-205.
Carreiras, J.M.B., Vasconcelos, M.J. and Lucas, R.M. 2012. Understanding the relationship between aboveground biomass and ALOS PALSAR data in the forests of Guinea-Bissau (West Africa). Remote Sensing of Environment, 121: 426-442.
Chauhan N.S., Miller S. and Ardanuy P. 2003. Spaceborne soil moisture estimation at high resolution: a microwave-optical/IR synergistic approach. International Journal of Remote Sensing, 24: 4599-4622.
Chehbouni A., Nouvellon Y., Kerr Y.H., Moran M.S., Watts C.J., Prévot L., Goodrich D. and Rambal S. 2001. Directional effect on radiative surface temperature measurements over a semiarid grassland site. Remote Sensing of Environment, 76: 360-372.
Chen N., He Y. and Zhang X. 2017. NIR-Red Spectra-Based Disaggregation of SMAP Soil Moisture to 250 m Resolution Based on OzNet in Southeastern Australia. Remote Sensing, 9(4): 1-21.
Choi M. and Hur Y. 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.
Colliander A., Jackson T.J., Bindlish R., Chan S., Das N., Kim S.B., Cosh M.H., Dunbar R.S., Dang L., Pashaian L., Asanuma J., Aida K., Berg A., Rowlandson T., Bosch D., Caldwell T., Caylor K., Goodrich D., al Jassar H., Lopez-Baeza E., Martínez-Fernández J., González-Zamora A., Livingston S., McNairn H., Pacheco A., Moghaddam M., Montzka C., Notarnicola C., Niedrist G., Pellarin T., Prueger J., Pulliainen J., Rautiainen K., Ramos J., Seyfried M., Starks P., Su Z., Zeng Y., van der Velde R., Thibeault M., Dorigo W., Vreugdenhil M., Walker J.P., Wu X., Monerris A., O'Neill P.E., Entekhabi D., Njoku E.G. and Yueh S. 2017. Validation of SMAP surface soil moisture products with core validation sites. Remote Sensing of Environment, 191: 215-231.
Czajkowski K.P., Goward S.N., Stadler S.J. and Walz A. 2000. Thermal Remote Sensing of Near Surface Environmental Variables: Application Over the Oklahoma Mesonet. The Professional Geographer, 52: 345-357.
Das N., Entekhabi D. and Njoku E. 2011. An Algorithm for Merging SMAP Radiometer and Radar Data for High-Resolution Soil-Moisture Retrieval. Transactions on Geoscience and Remote Sensing, 49(5): 1504 - 1512
Das N.N., Entekhabi D., Njoku E.G., Shi J.J.C., Johnson J.T. and Colliander A. 2014. Tests of the SMAP Combined Radar and Radiometer Algorithm Using Airborne Field Campaign Observations and Simulated Data. IEEE Transactions on Geoscience and Remote Sensing, 52: 2018-2028.
Das N.N., Entekhabi D., Dunbar R.S., Colliander A., Chen F., Crow W., Jackson T.J., Berg A., Bosch D.D., Caldwell T., Cosh M.H., Collins C.H., Lopez-Baeza E., Moghaddam M., Rowlandson T., Starks P.J., Thibeault M., Walker J.P., Wu X., O'Neill P.E., Yueh S. and Njoku E.G. 2018. The SMAP mission combined active-passive soil moisture product at 9 km and 3 km spatial resolutions. Remote Sensing of Environment, 211: 204-217.
Desnos Y.L., Buck C., Guijarro J., Levrini G., Suchail J.-L., Torres R., Laur H., Closa J. and Rosich B. 2000. The ENVISAT advanced synthetic aperture radar system. Geoscience and Remote Sensing Symposium, 3: 91-100.
Djamai N., Magagi R., Goïta K., Merlin O., Kerr Y. and Roy A. 2016. A combination of DISPATCH downscaling algorithm with CLASS land surface scheme for soil moisture estimation at fine scale during cloudy days. Remote Sensing of Environment, 184: 1-14.
Djamai N., Magagi R., Goita K., Merlin O., Kerr Y. and Walker A. 2015. Disaggregation of SMOS soil moisture over the Canadian Prairies. Remote Sensing of Environment, 170: 255-268.
Dubois P.C., Zyl J.v. and Engman T. 1995. Measuring soil moisture with imaging radars. IEEE Transactions on Geoscience and Remote Sensing, 33: 915-926.
Entekhabi D., Asrar G.R., Betts A.K., Beven K.J., Bras R.L., Duffy C.J., Dunne T., Koster R.D., Lettenmaier D.P., McLaughlin D.B., Shuttleworth W.J., Genuchten M.T.v., Wei M.-Y. and Wood E.F. 1999. An Agenda for Land Surface Hydrology Research and a Call for the Second International Hydrological Decade. Bulletin of the American Meteorological Society, 80: 2043-2058.
Entekhabi D., G. Njoku E., E. O'Neill P., Kellogg K.H., Crow W., Edelstein W.N., Entin J., D. Goodman S., J. Jackson T., Johnson J., Kimball J., Piepmeier J., D. Koster R., Martin N., McDonald K., Moghaddam M., Moran S., Reichle R., Shi J. and van Zyl J. 2010. The Soil Moisture Active and Passive (SMAP) mission. Proceedings of the IEEE ,98(5): 704–716.
Covello F., Battazza F., Coletta A., Lopinto E., Fiorentino C., Pietranera L., Valentini G. and Zoffoli S. 2010. COSMO-SkyMed an existing opportunity for observing the Earth. Journal of Geodynamics, 49: 171-180.
Falloon P., Jones C.D., Ades M. and Paul K. 2011. Direct soil moisture controls of future global soil carbon changes: An important source of uncertainty. Global Biogeochemical Cycles, 25(3): 1-14.
Fan L., Xiao Q., Wen J., Liu Q., Jin R., You D and Li X. 2015. Mapping High-Resolution Soil Moisture over Heterogeneous Cropland Using Multi-Resource Remote Sensing and Ground Observations. Remote Sensing, 7(10): 13273-13297.
Fang B., Lakshmi V., Bindlish R., Jackson T.J., Cosh M. and Basara J. 2013. Passive Microwave Soil Moisture Downscaling Using Vegetation Index and Skin Surface Temperature. Vadose Zone Journal, 12(4): 1-20.
Fang B. and Lakshmi V. 2014. Soil moisture at watershed scale: Remote sensing techniques. Journal of Hydrology, 516: 258-272.
Friedl M.A. and Davis F.W. 1994. Sources of variation in radiometric surface temperature over a tallgrass prairie. Remote Sensing of Environment, 48: 1-17.
Goward S.N., Xue Y. and Czajkowski K.P. 2002. Evaluating land surface moisture conditions from the remotely sensed temperature/vegetation index measurements: An exploration with the simplified simple biosphere model. Remote Sensing of Environment, 79: 225-242.
Hain C.R., Crow W.T., Mecikalski J.R., Anderson M.C. and Holmes T. 2011. An intercomparison of available soil moisture estimates from thermal infrared and passive microwave remote sensing and land surface modeling. Journal of Geophysical Research: Atmospheres, 116,D1510,7: 1-18.
He L., Hong Y., Wu X., Ye N., Walker J.P. and Chen X. 2018. Investigation of SMAP Active–Passive Downscaling Algorithms Using Combined Sentinel-1 SAR and SMAP Radiometer Data. IEEE Transactions on Geoscience and Remote Sensing, 56: 4906-4918.
Jackson T.J., Vine D.M.L., Hsu A.Y., Oldak A., Starks P.J., Swift C.T., Isham J.D. and Haken M. 1999. Soil moisture mapping at regional scales using microwave radiometry: the Southern Great Plains Hydrology Experiment. IEEE Transactions on Geoscience and Remote Sensing, 37: 2136-2151.
Jackson T.J., Hsu A.Y. and O'Neill P.E. 2002. Surface Soil Moisture Retrieval and Mapping Using High-Frequency Microwave Satellite Observations in the Southern Great Plains. Journal of Hydrometeorology, 3: 688-699.
Jackson T.J., Vine D.M.L., Schiebe F.R. and Schmugge T.J. 1993. Large area mapping of soil moisture using passive microwave radiometry in the Washita'92 experiment. In, Proceedings of IGARSS '93 - IEEE International Geoscience and Remote Sensing Symposium, 1003: 1009-1012.
Jian P., Alexander L., Olivier M. and V.N.E C. 2017. A review of spatial downscaling of satellite remotely sensed soil moisture. Reviews of Geophysics, 55: 341-366.
Kerr Y. 2007. Soil moisture from Space: Where are we? Hydrogeology Journal, 15: 117-120.
Kerr Y.H., Waldteufel P., Richaume P., Wigneron J.P., Ferrazzoli P., Mahmoodi A., Bitar A.A., Cabot F., Gruhier C., Juglea S.E., Leroux D., Mialon A. and Delwart S. 2012. The SMOS Soil Moisture Retrieval Algorithm. IEEE Transactions on Geoscience and Remote Sensing, 50: 1384-1403.
Kim J. and Hogue T.S. 2012. Improving Spatial Soil Moisture Representation Through Integration of AMSR-E and MODIS Products. IEEE Transactions on Geoscience and Remote Sensing, 50: 446-460.
Leese J., Jackson T., Pitman A. and Dirmeyer P. 2001. Meeting summary: GEWEX/BAHC International Workshop on Soil Moisture Monitoring, Analysis, and Prediction for Hydrometeorological and Hydroclimatological Applications.
Liu Y.Y., Parinussa R., A. Dorigo W., de Jeu R., Wagner W., van Dijk A., McCabe M. and Evans J. 2011. Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals. Hydrology and Earth System Sciences, 15(2): 425-436.
Malbéteau Y., Merlin O., Molero B., Rüdiger C. and Bacon S. 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.
Mallick K., Bhattacharya B.K. and Patel N.K. 2009. Estimating volumetric surface moisture content for cropped soils using a soil wetness index based on surface temperature and NDVI. Agricultural and Forest Meteorology, 149:1327-1342.
McColl K.A., Alemohammad S.H., Akbar R., Konings A.G., Yueh S. and Entekhabi D. 2017. The global distribution and dynamics of surface soil moisture. Nature Geoscience, 10: 100-104.
Merlin O., Chehbouni A., Walker J.P., Panciera R. and Kerr Y.H. 2008a. A Simple Method to Disaggregate Passive Microwave-Based Soil Moisture. IEEE Transactions on Geoscience and Remote Sensing, 46: 786-796.
Merlin O., Walker J.P., Chehbouni A. and Kerr Y. 2008b. Towards deterministic downscaling of SMOS soil moisture using MODIS derived soil evaporative efficiency. Remote Sensing of Environment, 112: 3935-3946.
Merlin O., Al Bitar A., Walker J.P. and Kerr Y. 2010. An improved algorithm for disaggregating microwave-derived soil moisture based on red, near-infrared and thermal-infrared data. Remote Sensing of Environment, 114: 2305-2316.
Merlin O., Rudiger C., Bitar A.A., Richaume P., Walker J.P. and Kerr Y.H. 2012. Disaggregation of SMOS Soil Moisture in Southeastern Australia. IEEE Transactions on Geoscience and Remote Sensing, 50: 1556-1571.
Merlin O., Escorihuela M.J., Mayoral M.A., Hagolle O., Al Bitar A. and Kerr, Y. 2013. Self-calibrated evaporation-based disaggregation of SMOS soil moisture: An evaluation study at 3km and 100m resolution in Catalunya, Spain. Remote Sensing of Environment, 130: 25-38.
Moran M.S., Clarke T.R., Inoue Y. and Vidal A. 1994. Estimating crop water deficit using the relation between surface-air temperature and spectral vegetation index. Remote Sensing of Environment, 49: 246-263.
Muller E. and Décamps H. 2001. Modeling soil moisture–reflectance. Remote Sensing of Environment, 76:173-180.
Musick H.B. and Pelletier R.E. 1988. Response to soil moisture of spectral indexes derived from bidirectional reflectance in thematic mapper wavebands. Remote Sensing of Environment, 25: 167-184.
Narayan U., Lakshmi V. and Jackson, T.J. 2006. High-resolution change estimation of soil moisture using L-band radiometer and Radar observations made during the SMEX02 experiments. IEEE Transactions on Geoscience and Remote Sensing, 44: 1545-1554.
Narayan U. and Lakshmi V. 2008 . Characterizing subpixel variability of low resolution radiometer derived soil moisture using high resolution radar data. Water Resources Research, 44(6): 1-11.
Nemani R., Pierce L., Running S. and Goward, S. 1993. Developing Satellite-derived Estimates of Surface Moisture Status. Journal of Applied Meteorology, 32: 548-557.
Njoku E.G., Wilson W.J., Yueh S.H., Dinardo S.J., Li F.K., Jackson T.J., Lakshmi V. and Bolten J. 2002. Observations of soil moisture using a passive and active low-frequency microwave airborne sensor during SGP99. IEEE Transactions on Geoscience and Remote Sensing, 40: 2659-2673.
Njoku E.G., Jackson T.J., Lakshmi V., Chan T.K. and Nghiem S.V. 2003. Soil moisture retrieval from AMSR-E. IEEE Transactions on Geoscience and Remote Sensing, 41: 215-229.
Nolin M., Bernier M. Perron I. 2012. Digital Mapping of Soil Drainage Classes Using Multitemporal RADARSAT-1 and ASTER Images and Soil Survey Data. Applied and Environmental Soil Science, 2012: 1-18.
ONeili P. and Chauhan N. 1992. Synergistic Use Of Active And Passive Microwave In Soil Moisture Estimation. In, [Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium. 492-494.
Owe M., Jeu R.d. and Walker J. 2001. A methodology for surface soil moisture and vegetation optical depth retrieval using the microwave polarization difference index. IEEE Transactions on Geoscience and Remote Sensing, 39: 1643-1654.
Paloscia S., Macelloni G., Santi E. and Koike T. 2001. A multifrequency algorithm for the retrieval of soil moisture on a large scale using microwave data from SMMR and SSM/I satellites. IEEE Transactions on Geoscience and Remote Sensing, 39: 1655-1661.
Panciera R., Walker J., Kalma J., Kim E., Saleh K. and Wigneron J.-P. 2009. Evaluation of the SMOS L-MEB passive microwave soil moisture retrieval algorithm. Remote Sensing of Environment, 113: 435-444.
Peng J., Niesel J. and Loew A. 2015. Evaluation of soil moisture downscaling using a simple thermal-based proxy – the REMEDHUS network (Spain) example. Hydrol. Earth Syst. Sci., 19: 4765-4782.
Peng J., Loew A., Zhang S., Wang J. and Niesel J. 2016. Spatial Downscaling of Satellite Soil Moisture Data Using a Vegetation Temperature Condition Index. IEEE Transactions on Geoscience and Remote Sensing, 54: 558-566.
Piles M., Camps A., Vall-llossera M., Corbella I., Panciera R., Rüdiger C., H. Kerr Y. and Walker J. 2011. Downscaling SMOS-derived soil moisture using MODIS Visible/Infrared data. 49(9): 3156–3166.
Piles M., Petropoulos G.P., Sánchez N., González-Zamora Á. and Ireland G. 2016. Towards improved spatio-temporal resolution soil moisture retrievals from the synergy of SMOS and MSG SEVIRI spaceborne observations. Remote Sensing of Environment, 180: 403-417.
Pu R., Ge S., Kelly N.M. and Gong P. 2003. Spectral absorption features as indicators of water status in coast live oak ( Quercus agrifolia ) leaves. International Journal of Remote Sensing, 24: 1799-1810.
Rüdiger C., Calvet J.-C., Gruhier C., Holmes T., de Jeu R. and Wagner W. 2009. An Intercomparison of ERS-Scat and AMSR-E Soil Moisture Observations with Model Simulations over France. Journal of Hydrometeorology, 10.
Rüdiger C., Su C., Ryu D. and Wagner W. 2016. Disaggregation of Low-Resolution L-Band Radiometry Using C-Band Radar Data. IEEE Geoscience and Remote Sensing Letters, 13: 1425-1429.
Schmugge T., Gloersen P., Wilheit T. and Geiger, F. 1974. Remote sensing of soil moisture with microwave radiometers. Journal of Geophysical Research (1896-1977), 79: 317-323.
Seneviratne S.I., Corti T., Davin E.L., Hirschi M., Jaeger E.B., Lehner I., Orlowsky B. and Teuling, A.J. 2010. Investigating soil moisture–climate interactions in a changing climate: A review. Earth-Science Reviews, 99: 125-161.
Shimada M., Isoguchi O., Tadono T., & Isono K. 2009. PALSAR Radiometric and Geometric Calibration. IEEE Transactions on Geoscience and Remote Sensing, 47: 3915-3932.
Ulaby, F.T., Moore, R.K., & Fung, A.K. 1981. Microwave Remote Sensing: Active and Passive. Artech House.
Velde R.v.d., Salama M.S., Eweys O.A., Wen J., & Wang Q. (2015). Soil Moisture Mapping Using Combined Active/Passive Microwave Observations Over the East of the Netherlands. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8: 4355-4372.
Wagner W., Blöschl, G., Pampaloni P., Calvet J.-C., Bizzarri B., Wigneron J.-P., & Kerr Y. 2007. Operational readiness of microwave remote sensing of soil moisture for hydrologic applications. Hydrology Research, 38: 1-20.
Wagner W., Scipal K., Pathe C., Gerten D., Lucht W., & Rudolf B. 2003. Evaluation of the agreement between the first global remotely sensed soil moisture data with model and precipitation data. Journal of Geophysical Research: Atmospheres, 108.
Werninghaus R. 2004. TerraSAR-X mission. SPIE.
Wu X., Walker J.P., Rüdiger C., Panciera R., & Gao Y. 2017. Medium-Resolution Soil Moisture Retrieval Using the Bayesian Merging Method. IEEE Transactions on Geoscience and Remote Sensing, 55: 6482-6493.
Xiwu Z., Houser P.R., Walker J.P., & Crow W.T. 2006. A method for retrieving high-resolution surface soil moisture from hydros L-band radiometer and Radar observations. IEEE Transactions on Geoscience and Remote Sensing, 44: 1534-1544.
Ye N., Walker J.P., Bindlish R., Chaubell J., Das N.N., Gevaert A.I., Jackson T.J., & Rüdiger C. 2019. Evaluation of SMAP downscaled brightness temperature using SMAPEx-4/5 airborne observations. Remote Sensing of Environment, 221: 363-372.
Zhang Y., & Wegehenkel M. 2006. Integration of MODIS data into a simple model for the spatial distributed simulation of soil water content and evapotranspiration. Remote Sensing of Environment, 104: 393-408.
Zhou Z., Zhao S., Chen Z., & Jiang L. 2015. Comparison of different downscaling methods of soil moisture in Luan he Watershed. In, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 1980-1983).