Validation and trend analysis of ECV soil moisture data on cropland in North China Plain during 1981–2010

International Journal of Applied Earth Observation and Geoinformation

Volumn 48, Issue , 2016, Pages 110-121

  Wang, Sisi ^a,b   Mo, Xingguo ^a   Liu, Suxia ^a   Lin, Zhonghui ^a   Hu, Shi ^a  

^a INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

Climatic factors; Cropland; Remotely sensed soil moisture; Trend analysis

Indexed keywords

CLIMATE EFFECT; EVAPOTRANSPIRATION; NDVI; PRECIPITATION (CLIMATOLOGY); REMOTE SENSING; SOIL MOISTURE; TREND ANALYSIS;

CHINA; NORTH CHINA PLAIN;

TRITICUM AESTIVUM; ZEA MAYS;

EID: 85015902053     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2015.10.010     Document Type: Article

References (44)

1. Albergel, C., Dorigo, W., Balsamo, G., Muñoz-Sabater, J., de Rosnay, P., Isaksen, L., Brocca, L., de Jeu, R., Wagner, W., Monitoring multi-decadal satellite earth observation of soil moisture products through land surface reanalyses. Remote Sens. Environ. 138 (2013), 77–89.
2. Atkinson, P.M., Dash, J., Jeganathan, C., Amazon vegetation greenness as measured by satellite sensors over the last decade. Geophys. Res. Lett., 38(19), 2011 L19105.
3. Brocca, L., Hasenauer, S., Lacava, T., Melone, F., Moramarco, T., Wagner, W., Dorigo, W., Matgen, P., Martínez-Fernández, J., Llorens, P., Latron, J., Martin, C., Bittelli, M., Soil moisture estimation through ASCAT and AMSR-E sensors: an intercomparison and validation study across Europe. Remote Sens. Environ. 115:12 (2011), 3390–3408.
4. Champagne, C., Berg, A., Belanger, J., McNairn, H., Jeu, R.D., Evaluation of soil moisture derived from passive microwave remote sensing over agricultural sites in Canada using ground-based soil moisture monitoring networks. Int. J. Remote Sens. 31:14 (2010), 3669–3690.
5. Chen, J., Jönsson, P., Tamura, M., Gu, Z., Matsushita, B., Eklundh, L., A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky–Golay filter. Remote Sens. Environ. 91:3 (2004), 332–344.
6. Cho, E., Choi, M., Regional scale spatio-temporal variability of soil moisture and its relationship with meteorological factors over the Korean peninsula. J. Hydrol. 516:17 (2014), 317–329.
7. Choi, M., Evaluation of multiple surface soil moisture for Korean regional flux monitoring network sites: advanced microwave scanning radiometer E, land surface model, and ground measurements. Hydrol. Process. 26:4 (2012), 597–603.
8. Dorigo, W., de Jeu, R., Chung, D., Parinussa, R., Liu, Y., Wagner, W., Fernández-Prieto, D., Evaluating global trends (1988–2010) in harmonized multi-satellite surface soil moisture. Geophys. Res. Lett., 39(18), 2012, L18405.
9. Dorigo, W.A., Gruber, A., De Jeu, R.A.M., Wagner, W., Stacke, T., Loew, A., Albergel, C., Brocca, L., Chung, D., Parinussa, R.M., Kidd, R., Evaluation of the ESA CCI soil moisture product using ground-based observations. Remote Sens. Environ. 162 (2015), 380–395.
10. Dorigo, W.A., Scipal, K., Parinussa, R.M., Liu, Y.Y., Wagner, W., de Jeu, R.A.M., Naeimi, V., Error characterisation of global active and passive microwave soil moisture datasets. Hydrol. Earth Syst. Sci. 14:12 (2010), 2605–2616.
11. Figa-Saldaña, J., Wilson, J.J.W., Attema, E., Gelsthorpe, R., Rnkwater, M., Stoffelen, A., The advanced scatterometer (ASCAT) on the meteorological operational (MetOp) platform: a follow on for European wind scatterometers. Can. J. Remote Sens. 28:3 (2002), 404–412.
12. Grayson, R.B., Western, A.W., Chiew, F.H.S., Blöschl, G., Preferred states in spatial soil moisture patterns: local and nonlocal controls. Water Resour. Res. 33:12 (1997), 2897–2908.
13. Hain, C.R., Crow, W.T., Mecikalski, J.R., Anderson, M.C., Holmes, T., An intercomparison of available soil moisture estimates from thermal infrared and passive microwave remote sensing and land surface modeling. J. Geophys. Res., 116(D15), 2011.
14. Jackson, T.J., Cosh, M.H., Bindlish, R., Starks, P.J., Bosch, D.D., Seyfried, M., Goodrich, D.C., Moran, M.S., Du, J., Validation of advanced microwave scanning radiometer soil moisture products. IEEE Trans. Geosci. Remote Sens. 48:12 (2010), 4256–4272.
15. Juglea, S., Kerr, Y., Mialon, A., Wigneron, J.P., Lopez-Baeza, E., Cano, A., Albitar, A., Millan-Scheiding, C., Carmen Antolin, M., Delwart, S., Modelling soil moisture at SMOS scale by use of a SVAT model over the Valencia anchor station. Hydrol. Earth Syst. Sci. 14:5 (2010), 831–846.
16. Leroy, S.S., Anderson, J.G., Ohring, G., Climate signal detection times and constraints on climate benchmark accuracy requirements. J. Clim. 21:4 (2008), 841–846.
17. Li, B., Rodell, M., Spatial variability and its scale dependency of observed and modeled soil moisture over different climate regions. Hydrol. Earth Syst. Sci. 17:3 (2013), 1177–1188.
18. Liu, Y.Y., de Jeu, R.A.M., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M., Global long-term passive microwave satellite-based retrievals of vegetation optical depth. Geophys. Res. Lett., 38(18), 2011 L18402.
19. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M., Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M., Trend-preserving blending of passive and active microwave soil moisture retrievals. Remote Sens. Environ. 123 (2012), 280–297.
20. Liu, Y.Y., Parinussa, R.M., Dorigo, W.A., De Jeu, R.A.M., Wagner, W., van Dijk, A.I.J.M., McCabe, M.F., Evans, J.P., Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals. Hydrol. Earth Syst. Sci. 15:2 (2011), 425–436.
21. Loew, A., Terrestrial satellite records for climate studies: how long is long enough? A test case for the Sahel. Theor. Appl. Clim. 115:3–4 (2014), 427–440.
22. Loew, A., Stacke, T., Dorigo, W., de Jeu, R., Hagemann, S., Potential and limitations of multidecadal satellite soil moisture observations for selected climate model evaluation studies. Hydrol. Earth Syst. Sci. 17:9 (2013), 3523–3542.
23. Mahmood, R., Hubbard, K.G., Simulating sensitivity of soil moisture and evapotranspiration under heterogeneous soils and land uses. J. Hydrol. 280:1–4 (2003), 72–90.
24. Miralles, D.G., Crow, W.T., Cosh, M.H., Estimating spatial sampling errors in coarse-scale soil moisture estimates derived from point-scale observations. J. Hydrometeorol. 11:6 (2010), 1423–1429.
25. Mo, X., Liu, S., Lin, Z., Evaluation of an ecosystem model for a wheat–maize double cropping system over the North China Plain. Environl. Modell. Softw. 32:5 (2012), 61–73.
26. Mo, X., Liu, S., Lin, Z., Guo, R., Regional crop yield, water consumption and water use efficiency and their responses to climate change in the North China Plain. Agric. Ecosyst. Environ. 134:1–2 (2009), 67–78.
27. Mo, X., Liu, S., Meng, D., Lin, Z., Exploring the interannual and spatial variations of ET and GPP with climate by a physical model and remote sensing data in a large basin of Northeast China. Int. J. Climatol. 34:6 (2014), 1945–1963.
28. Nalder, I.A., Wein, R.W., Spatial interpolation of climatic normals: test of a new method in the Canadian boreal forest. Agric. For. Meteorol. 92:4 (1998), 211–225.
29. Orth, R., Seneviratne, S.I., Propagation of soil moisture memory to streamflow and evapotranspiration in Europe. Hydrol. Earth Syst. Sci. 17:10 (2013), 3895–3911.
30. Parinussa, R.M., Meesters, A.G., Liu, Y.Y., Dorigo, W., Wagner, W., de Jeu, R.A., Error estimates for near-real-time satellite soil moisture as derived from the land parameter retrieval model. IEEE Geosci. Remote Sens. 8:4 (2011), 779–783.
31. Pratola, C., Barrett, B., Gruber, A., Kiely, G., Dwyer, E., Evaluation of a global soil moisture product from finer spatial resolution SAR data and ground measurements at Irish sites. Remote Sens. 6:9 (2014), 8190–8219.
32. Qiu, J., Mo, X., Liu, S., Lin, Z., Yang, L., Song, X., Zhang, G., Naeimi, V., Wagner, W., Intercomparison of microwave remote-sensing soil moisture data sets based on distributed eco-hydrological model simulation and in situ measurements over the North China Plain. Int. J. Remote Sens. 34:19 (2013), 6587–6610.
33. Qiu, J., Mo, X., Liu, S., Lin, Z., Exploring spatiotemporal patterns and physical controls of soil moisture at various spatial scales. Theor. Appl. Clim. 118:1–2 (2014), 159–171.
34. Qiu, Y., Fu, B., Wang, J., Chen, L., Spatial variability of soil moisture content and its relation to environmental indices in a semi-arid gully catchment of the Loess Plateau, China. J. Arid Environ. 49:4 (2001), 723–750.
35. Rebel, K.T., de Jeu, R.A.M., Ciais, P., Viovy, N., Piao, S.L., Kiely, G., Dolman, A.J., A global analysis of soil moisture derived from satellite observations and a land surface model. Hydrol. Earth Syst. Sci. 16:3 (2012), 833–847.
36. Santer, B.D., Mears, C., Doutriaux, C., Caldwell, P., Gleckler, P.J., Wigley, T.M.L., Solomon, S., Gillett, N.P., Ivanova, D., Karl, T.R., Lanzante, J.R., Meehl, G.A., Stott, P.A., Taylor, K.E., Thorne, P.W., Wehner, M.F., Wentz, F.J., Separating signal and noise in atmospheric temperature changes: the importance of timescale. J. Geophys. Res., 116(D22), 2011 D22105.
37. Savva, Y., Szlavecz, K., Carlson, D., Gupchup, J., Szalay, A., Terzis, A., Spatial patterns of soil moisture under forest and grass land cover in a suburban area, in Maryland, USA. Geoderma 192 (2013), 202–210.
38. Scipal, K., Holmes, T., De Jeu, R., Naeimi, V., Wagner, W., A possible solution for the problem of estimating the error structure of global soil moisture data sets. Geophys. Res. Lett. 35:24 (2008), 101–106.
39. Stoffelen, A., Toward the true near-surface wind speed: error modeling and calibration using triple collocation. J. Geophys. Res. 103:C4 (1998), 7755–7766.
40. Taylor, K.E., Summarizing multiple aspects of model performance in a single diagram. J. Geophys. Res. 106:D7 (2001), 7183–7192.
41. Wagner, W., Bloschl, G., Pampaloni, P., Calvet, J.-C., Bizzarri, B., Wigneron, J.-P., Kerr, Y., Operational readiness of microwave remote sensing of soil moisture for hydrologic applications. Nord. Hydrol. 38:1 (2007), 1–20.
42. Wagner, W., Naeimi, V., Scipal, K., Jeu, R., Martínez-Fernández, J., Soil moisture from operational meteorological satellites. Hydrogeol. J. 15:1 (2006), 121–131.
43. Yue, S., Wang, C., The Mann–Kendall test modified by effective sample size to detect trend in serially correlated hydrological series. Water Resour. Manag. 18:3 (2004), 201–218.
44. Zwieback, S., Scipal, K., Dorigo, W., Wagner, W., Structural and statistical properties of the collocation technique for error characterization. Nonlin. Processes Geophys. 19:1 (2012), 69–80.