Combining SMOS with visible and near/shortwave/thermal infrared satellite data for high resolution soil moisture estimates

Journal of Hydrology

Volumn 516, Issue , 2014, Pages 273-283

  Sánchez Ruiz, Sergio ^a   Piles, María ^b,c   Sánchez, Nilda ^a   Martínez Fernández, José ^a   Vall llossera, Mercè ^b,c   Camps, Adriano ^b,c  

^a UNIVERSITY OF SALAMANCA   (Spain)

^b UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

^c Passeig Maritim de la Barceloneta   (Spain)

Author keywords

Disaggregation; Downscaling; MODIS; NDWI; SMOS; Soil moisture

Indexed keywords

IMAGE RESOLUTION; INFRARED DEVICES; INFRARED RADIATION; MICROWAVE SENSORS; ORBITS; RADIOMETERS; SOIL MOISTURE; VEGETATION; WATER CONTENT;

DISAGGREGATION; DOWN-SCALING; MODIS; NDWI; SMOS;

SOIL SURVEYS;

BRIGHTNESS TEMPERATURE; DATA SET; LAND SURFACE; MODIS; NDVI; SATELLITE DATA; SMOS; SOIL MOISTURE; SPATIAL RESOLUTION; SURFACE TEMPERATURE; VEGETATION; WATER CONTENT;

SPAIN;

EID: 84945173654     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2013.12.047     Document Type: Article

References (45)

1. Adegoke J.O., Carleton A.M. Relations between soil moisture and satellite vegetation indices in the U.S. Corn Belt. J. Hydrometeorol. 2002, 3:395-405.
2. Calera A., Gonza´lez-Piqueras J., Melia´ J. Monitoring barley and corn growth from remote sensing data at field scale. Int. J. Remote Sens. 2004, 25(1):97-109.
3. Carlson T. An overview of the "Triangle Method" for Estimating surface evapotranspiration and soil moisture from satellite imagery. Sensors 2007, 7:1612-1629.
4. Carlson T.N., Gillies R.R., Perry E.M. A method to make use of thermal infrared temperature and NDVI measurements to infer surface soil water content and fractional vegetation cover. Remote Sens. Reviews 1994, 9:161-173.
5. Ceccato P., Flasse S., Gregoire J. Designing a spectral index to estimate vegetation water content from remote sensing data: Part 2. Validation and applications. Remote Sens. Environ. 2002, 82:198-207.
6. Chauhan N.S., Miller S., Ardanuy P. Spaceborne soil moisture estimation at high resolution: a microwaveoptical/IR synergistic approach. Int. J. Remote Sens. 2003, 24:4599-4622.
7. Chen D., Huang J., Jackson T.J. Vegetation water content estimation for corn and soybeans using spectral indices derived from MODIS near- and short-wave infrared bands. Remote Sens. Environ. 2005, 98:225-236.
8. Choi M., Hur Y. A microwave-optical-infrared disaggregation for improving spatial representation of soil moisture using AMSR-E and MODIS products. Remote Sens. Environ. 2012, 124:259-269.
9. Entekhabi D., Rodriguez-Iturbe I., Castelli F. Mutual interaction of soil moisture state and atmospheric processes. J. Hydrol. 1996, 184:15.
10. Entekhabi, D., Njoku, E.G., O'Neill, P.E., Kellogg, K.H., Crow, W.T., Edelstein, W.N., Entin, J.K., Goodman, S.D., Jackson, T.J., Johnson, J., Kimball, J., Piepmeier, J.R., Koster, R.D., Martin, N., McDonald, K.C., Moghaddam, M., Moran, S., Reichle, R., Shi, J.C., Spencer, M.W., Thurman, S.W., Tsang, L., Van Zyl, J., 2010. The SoilMoistureActive Passive (SMAP) Mission. Proc IEEE 98, 704-716.
11. Farrar T.J., Nicholson S.E., Lare A.R. The influence of soil type on the relationships between NDVI, rainfall and soil moisture in semiarid Botswana. II. NDVI response to soil moisture. Remote Sens. Environ. 1994, 50:121-133.
12. Fensholt R., Sandholt I. Derivation of a shortwave infrared water stress index from MODIS near- and shortwave infrared data in a semiarid environment. Remote Sens. Environ. 2003, 87:111-121.
13. Finn M.P., Lewis M., Bosch D.M., Giraldo M., Yamamoto K., Sullivan D.G., Kincaid R., Luna R., Allam G.K., Kvien C., Williams M.S. Remote sensing of soil moisture using airborne hyperspectral data. GIScience Remote Sens 2011, 48:522-540.
14. Gao B.-C. NDWI - a normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sens. Environ. 1996, 58:257-266.
15. Hardy A.J., Barr S.L., Mills J.P., Miller P.E. Characterising soil moisture in transport corridor environments using airborne LIDAR and CASI data. Hydrol. Process. 2012, 26:1925-1936.
16. Hunt E.R., Rock B.N. Detection of changes in leaf water content using near and middle-infrared reflectances. Remote Sens. Environ. 1989, 30:43-54.
17. Jackson T.J., Chen D., Cosh M., Li F., Anderson M., Walthall C., Doriaswamy P., Hunt E.R. Vegetation water content mapping using Landsat data derived normalized difference water index for corn and soybeans. Remote Sens. Environ. 2004, 92:475-482.
18. Kerr Y., Waldteufel P., Wigneron J.-P., Martinuzzi J.-M., Font J., Berger M. Soil moisture retrieval from space: the soil moisture and ocean salinity (SMOS) mission. IEEE Trans. Geosci. Remote Sens. 2001, 39:1729-1735.
19. Kerr Y., Waldteufel P., Wigneron J.-P., Delwart S., Cabot F., Boutin J., Escorihuela M.-J., Font J., Reul N., Gruhier C., Juglea S., Drinkwater M., Hahne A., Marti´n-Neira M., Meckelenburg S. The SMOS Mission: new tool formonitoring key elements of the globalwater cycle. Proc. IEEE 2010, 98:666-687.
20. Kerr, Y., Waldteufel, P., Richaume, P., Ferrazzoli, P., Gurney, R.J., 2010b. SMOS level 2 Processor for Soil Moisture Algorithm Theoretical Basis Document (ATBD). Tech. Rep. ESA No.: SOTN-ESL-SM-GS-0001.
21. Khanna S., Palacios-Orueta A., Whiting M.L., Ustin S.L., Riaño D., Litago J. Development of angle indexes for soil moisture estimation, dry matter detection and land-cover discrimination. Remote Sens. Environ. 2006, 109:154-165.
22. Kim J., Hogue T. Improving spatial soil moisture representation through integration of AMSR-E and MODIS products. IEEE Trans. Geosci. Remote Sens. 2012, 50:446-460.
23. Lobell D.B., Asner G.P. Moisture effects on soil reflectance. Soil Sci. Soc. Am. J. 2002, 66:722-727.
24. Marti´nez-Ferna´ndez J., Ceballos A. Temporal stability of soil moisture in a large-field experiment in Spain. Soil Sci. Soc. Am. J. 2003, 67:1647-1656.
25. McMullan K., Brown M., Marti´n-Neira M., Rits W., Marti´ J., Lemanczyk J. SMOS: The payload. IEEE Trans. Geosci. Remote Sens. 2008, 46:594-605.
26. Merlin O., Chehbouni A., Kerr Y.H., Njoku E.G., Entekhabi D. 2005 - O Merlin et al. - TGRS - a combined modeling and multispectral/multiresolution remote sensing approach for disaggregation of surface soil moisture: application to SMOS configuration. IEEE Trans. Geosci. Remote Sens. 2005, 43:2036-2050.
27. Merlin O., Al Bitar A., Walker J.P., Kerr Y. An improved algorithm for disaggregating microwave-derived soil moisture based on red, near-infrared and thermal-infrared data. Remote Sens. Environ. 2010, 114(10):2305-2316.
28. Merlin O., Escorihuela M.J., Mayoral M.A., Hagolle O., Al Bitar A., Kerr Y. Self-calibrated evaporation-based disaggregation of SMOS soil moisture: An evaluation study at 3 km and 100 m resolution in Catalunya, Spain. Remote Sens. Environ. 2013, 130:25-38.
29. Oliva, R., Daganzo, E., Kerr, Y.H., Mecklenburg, S., Nieto, S., Richaume, P., Gruhier, C., 2012. SMOS radio frequency interference scenario: Status and actions taken to improve the RFI environment in the 1400-1427-MHz passive band. IEEE Trans Geosci Remote Sens 50(5), 1427-1439.
30. Piles, M., Camps, A., Vall.llossera, M., Corbella, I., Panciera, R., Ru¨diger, C., Kerr, Y., Walker, J., 2011. Downscaling SMOS-derived soil moisture using MODIS Visible/Infrared data. IEEE Trans Geosci Remote Sens 49(9), 3156-3166.
31. Piles, M., Sa´nchez, N., Vall-llossera, M., Camps, A., Marti´nez-Ferna´ndez, J., Marti´nez, J., Gonza´lez-Gambau, V., 2013. A downscaling approach for SMOS land observations: long-term evaluation of high resolution soil moisture maps over the Iberian Peninsula. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Unpublished results.
32. Ray R.L., Jacobs J.M., Cosh M.H. Landslide susceptibility mapping using downscaled AMSR-E soil moisture: a case study from Cleveland Corral, California, US. Remote Sens. Environ. 2010, 114(11):2624-2636.
33. Ridder, N., Stroosnijder, L., Cisse, A.M., van Kelulen, H., 1983. Productivity of Sahelian rangelands, a study of the soils, the vegetation and the exploitation of the natural resources. PPS Coursebook, 1. Wageningen, Netherlands: Agricultural University, Wageningen.
34. Sa´nchez N., Marti´nez-Ferna´ndez J., Calera A., Torres E.A., Pe´rez-Gutie´rrez C. Combining remote sensing and in situ soil moisture data for the application and validation of a distributed water balance model (HIDROMORE). Agric. Water Manage. 2010, 98:69-78.
35. Sa´nchez N., Marti´nez-Ferna´ndez J., Scaini A., Pe´rez-Gutie´rrez C. Validation of the SMOS L2 soil moisture data in the REMEDHUS network (Spain). IEEE Trans. Geosci. Remote Sens. 2012, 50(5):1602-1611.
36. Sa´nchez, N., Piles, M., Scaini, A., Marti´nez-Ferna´ndez, J., Camps, A., Vall-llossera, M., 2012b. Spatial patters of SMOS dowscaled soil moisture maps over the REMEDHUS network (Spain). In: IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012. IEEE International, Munich, Germany, pp. 714-717.
37. Schnur M.T., Xie H., Wang X. Estimating root zone soil moisture at distant sites using MODIS NDVI and EVI in a semi-arid region of southwestern USA. Ecol. Inform. 2010, 5(5):400-409.
38. Sobrino J.A., Franch B., Mattar C., Jimenez-Muñoz J.C., Corbari C. A method to estimate soil moisture from Airborne Hyperspectral Scanner (AHS) and ASTER data: application to SEN2FLEX and SEN3EXP campaigns. Remote Sens. Environ. 2012, 117:415-428.
39. Taylor K.E. Sumarizing multiple aspects of model performance. J. Geophys. Res. 2001, 106:7183-7192.
40. Vermote, E.F., Kotchenova, S.Y., Ray, J.P., 2011. MODIS Surface Reflectance User's Guide.
41. Wagner W., Blo¨schl G., Pampaloni P., Calvet J.-C., Bizarri B., Wigneron J.-P., Kerr Y. Operational readiness of microwave remote sensing of soil moisture for hydrologic applications. Nord. Hydrol. 2007, 38:1-20.
42. Wang X., Xie H., Guan H., Zhou X. Different responses of MODIS-derived NDVI to root-zone soil moisture in semi-arid and humid regions. J. Hydrol. 2007, 340:12-24.
43. Whiting M.L., Li L., Ustin S.L. Predicting water content using Gaussian model on soil spectra. Remote Sens. Environ. 2004, 89:535-552.
44. Yu, G., Di, L., Yang, W., 2008. Downscaling of global soil moisture using auxiliary data. In: 2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings, 3, III230-III233.
45. Zarco-Tejada P.J., Rueda C.A., Ustin S.L. Water content estimation in vegetation with MODIS reflectance data and model inversion methods. Remote Sens. Environ. 2003, 85:109-124.