{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T16:19:07Z","timestamp":1784564347009,"version":"3.55.0"},"reference-count":76,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2020,5,4]],"date-time":"2020-05-04T00:00:00Z","timestamp":1588550400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000040","name":"Agriculture and Agri-Food Canada","doi-asserted-by":"publisher","award":["510123-412345."],"award-info":[{"award-number":["510123-412345."]}],"id":[{"id":"10.13039\/501100000040","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Soil moisture is a critical indicator for climate change and agricultural drought, but its measurement is challenging due to large variability with land cover, soil type, time, space and depth. Satellite estimates of soil moisture are highly desirable and have become more widely available over the past decade. This study investigates and compares the performance of four surface soil moisture satellite datasets over Canada, namely, Soil Moisture and Ocean Salinity Level 3 (SMOS L3), versions 3.3 and 4.2 of European Space Agency Climate Change Initiative (ESA CCI) soil moisture product and a recent product called SMOS-INRA-CESBIO (SMOS-IC) that contains corrections designed to reduce several known sources of uncertainty in SMOS L3. These datasets were evaluated against in situ networks located in mostly agricultural regions of Canada for the period 2012 to 2014. Two statistical comparison methods were used, namely, metrics for mean soil moisture and median of metrics. The results suggest that, while both methods show similar comparisons for regional networks, over large networks, the median of metrics method is more representative of the overall correlation and variability and is therefore a more appropriate method for evaluating the performance of satellite products. Overall, the SMOS products have higher daily temporal correlations, but larger biases, against in situ soil moisture than the ESA CCI products, with SMOS-IC having higher correlations and smaller variability than SMOS L3. The SMOS products capture daily wetting and drying events better than the ESA CCI products, with the SMOS products capturing at least 75% of observed drying as compared to 55% for the ESA CCI products. Overall, for periods during which there are sufficient observations, both SMOS products are more suitable for agricultural applications over Canada than the ESA CCI products, even though SMOS-IC is able to capture soil moisture variability more accurately than SMOS L3.<\/jats:p>","DOI":"10.3390\/rs12091455","type":"journal-article","created":{"date-parts":[[2020,5,4]],"date-time":"2020-05-04T14:00:43Z","timestamp":1588600843000},"page":"1455","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Evaluation of Satellite-Derived Surface Soil Moisture Products over Agricultural Regions of Canada"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4241-2295","authenticated-orcid":false,"given":"Yaasiin","family":"Oozeer","sequence":"first","affiliation":[{"name":"Department of Geography and Environmental Management, University of Waterloo, Waterloo, ON N2L 3G1, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4393-5565","authenticated-orcid":false,"given":"Christopher G.","family":"Fletcher","sequence":"additional","affiliation":[{"name":"Department of Geography and Environmental Management, University of Waterloo, Waterloo, ON N2L 3G1, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Catherine","family":"Champagne","sequence":"additional","affiliation":[{"name":"Agriculture and Agri-Food Canada, Ottawa, ON K1A 0C6, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,5,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1138","DOI":"10.1126\/science.1100217","article-title":"Regions of Strong Coupling Between Soil Moisture and Precipitation","volume":"305","author":"Koster","year":"2004","journal-title":"Science"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"3257","DOI":"10.1175\/2011JCLI3733.1","article-title":"Soil Moisture Drought in China, 1950\u20132006","volume":"24","author":"Wang","year":"2011","journal-title":"J. Clim."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"613","DOI":"10.1038\/ngeo944","article-title":"Skill in streamflow forecasts derived from large-scale estimates of soil moisture and snow","volume":"3","author":"Koster","year":"2010","journal-title":"Nat. Geosci."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"2542","DOI":"10.1109\/TGRS.2011.2177468","article-title":"Assimilation of Surface- and Root-Zone ASCAT Soil Moisture Products Into Rainfall\u2013Runoff Modeling","volume":"50","author":"Brocca","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1541","DOI":"10.1175\/BAMS-D-11-00254.1","article-title":"The ESA Climate Change Initiative: Satellite Data Records for Essential Climate Variables","volume":"94","author":"Hollmann","year":"2013","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"623","DOI":"10.4141\/S02-004","article-title":"Impact of climate change scenarios on the agroclimate of the Canadian prairies","volume":"83","author":"McGinn","year":"2003","journal-title":"Can. J. Soil Sci."},{"key":"ref_7","unstructured":"Parry, M.L. (1990). Climate change and world agriculture, Earthscan Publications Ltd."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1016\/j.jhydrol.2012.06.021","article-title":"A review of the methods available for estimating soil moisture and its implications for water resource management","volume":"458\u2013459","author":"Dobriyal","year":"2012","journal-title":"J. Hydrol."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1016\/j.rse.2004.02.016","article-title":"Watershed scale temporal and spatial stability of soil moisture and its role in validating satellite estimates","volume":"92","author":"Cosh","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Krajewski, W.F., Anderson, M.C., Eichinger, W.E., Entekhabi, D., Hornbuckle, B.K., Houser, P.R., Katul, G.G., Kustas, W.P., Norman, J.M., and Peters-Lidard, C. (2006). A remote sensing observatory for hydrologic sciences: A genesis for scaling to continental hydrology. Water Resour. Res., 42.","DOI":"10.1029\/2005WR004435"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"582","DOI":"10.1016\/j.jhydrol.2014.10.024","article-title":"Evaluation of near-surface soil moisture data from an AAFC monitoring network in Manitoba, Canada: Implications for L-band satellite validation","volume":"521","author":"Adams","year":"2015","journal-title":"J. Hydrol."},{"key":"ref_12","unstructured":"Ulaby, F.T., Moore, R.K., and Fung, A.K. (1982). Microwave Remote Sensing: Active and Passive. Volume 2-Radar Remote Sensing and Surface Scattering and Emission Theory."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"938","DOI":"10.1109\/36.752212","article-title":"A study of vegetation cover effects on ERS scatterometer data","volume":"37","author":"Wagner","year":"1999","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1427","DOI":"10.1109\/TGRS.2012.2182775","article-title":"SMOS Radio Frequency Interference Scenario: Status and Actions Taken to Improve the RFI Environment in the 1400\u20131427-MHz Passive Band","volume":"50","author":"Oliva","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"779","DOI":"10.1109\/LGRS.2011.2114872","article-title":"Error Estimates for Near-Real-Time Satellite Soil Moisture as Derived From the Land Parameter Retrieval Model","volume":"8","author":"Parinussa","year":"2011","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1002\/hyp.3360070205","article-title":"Measuring surface soil moisture using passive microwave remote sensing","volume":"7","author":"Jackson","year":"1993","journal-title":"Hydrol. Process."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"805","DOI":"10.5589\/m04-043","article-title":"Estimating soil moisture at the watershed scale with satellite-based radar and land surface models","volume":"30","author":"Moran","year":"2004","journal-title":"Can. J. Remote Sens."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1729","DOI":"10.1109\/36.942551","article-title":"Soil moisture retrieval from space: The Soil Moisture and Ocean Salinity (SMOS) mission","volume":"39","author":"Kerr","year":"2001","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"666","DOI":"10.1109\/JPROC.2010.2043032","article-title":"The SMOS Mission: New Tool for Monitoring Key Elements ofthe Global Water Cycle","volume":"98","author":"Kerr","year":"2010","journal-title":"Proc. IEEE"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"704","DOI":"10.1109\/JPROC.2010.2043918","article-title":"The Soil Moisture Active Passive (SMAP) Mission","volume":"98","author":"Entekhabi","year":"2010","journal-title":"Proc. IEEE"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"4256","DOI":"10.1109\/TGRS.2010.2051035","article-title":"Validation of Advanced Microwave Scanning Radiometer Soil Moisture Products","volume":"48","author":"Jackson","year":"2010","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1016\/S0022-1694(96)03163-0","article-title":"Airborne microwave radiometry on a semi-arid area during HAPEX-Sahel","volume":"188\u2013189","author":"Chanzy","year":"1997","journal-title":"J. Hydrol."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1007\/BF01030061","article-title":"Mapping surface soil moisture with microwave radiometers","volume":"54","author":"Schmugge","year":"1994","journal-title":"Meteorol. Atmos. Phys."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1175\/JHM-D-14-0039.1","article-title":"Monitoring Agricultural Risk in Canada Using L-Band Passive Microwave Soil Moisture from SMOS","volume":"16","author":"Champagne","year":"2015","journal-title":"J. Hydrometeorol."},{"key":"ref_25","first-page":"143","article-title":"Satellite surface soil moisture from SMOS and Aquarius: Assessment for applications in agricultural landscapes","volume":"45","author":"Champagne","year":"2016","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1572","DOI":"10.1109\/TGRS.2012.2186581","article-title":"Evaluation of SMOS Soil Moisture Products Over Continental U.S. Using the SCAN\/SNOTEL Network","volume":"50","author":"Leroux","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1507","DOI":"10.1109\/TGRS.2011.2171694","article-title":"First Results of SMOS Soil Moisture Validation in the Upper Danube Catchment","volume":"50","author":"Schlenz","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"254","DOI":"10.1016\/j.jhydrol.2014.11.026","article-title":"Evaluation of SMOS soil moisture products over the CanEx-SM10 area","volume":"520","author":"Djamai","year":"2015","journal-title":"J. Hydrol."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1530","DOI":"10.1109\/TGRS.2011.2168533","article-title":"Validation of Soil Moisture and Ocean Salinity (SMOS) Soil Moisture Over Watershed Networks in the U.S","volume":"50","author":"Jackson","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1612","DOI":"10.1109\/TGRS.2012.2186819","article-title":"A First Assessment of the SMOS Soil Moisture Product With In Situ and Modeled Data in Italy and Luxembourg","volume":"50","author":"Lacava","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"293","DOI":"10.5194\/essd-9-293-2017","article-title":"The global SMOS Level 3 daily soil moisture and brightness temperature maps","volume":"9","author":"Mialon","year":"2017","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Fernandez-Moran, R., Al-Yaari, A., Mialon, A., Mahmoodi, A., Al Bitar, A., De Lannoy, G., Rodriguez-Fernandez, N., Lopez-Baeza, E., Kerr, Y., and Wigneron, J. (2017). SMOS-IC: An Alternative SMOS Soil Moisture and Vegetation Optical Depth Product. Remote Sens., 9.","DOI":"10.20944\/preprints201703.0145.v1"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"425","DOI":"10.5194\/hess-15-425-2011","article-title":"Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals","volume":"15","author":"Liu","year":"2011","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"8037","DOI":"10.1175\/JCLI-D-15-0229.1","article-title":"Characterization of Northern Hemisphere Snow Water Equivalent Datasets, 1981\u20132010","volume":"28","author":"Mudryk","year":"2015","journal-title":"J. Clim."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/j.rse.2017.07.001","article-title":"ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions","volume":"203","author":"Dorigo","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"469","DOI":"10.1016\/j.rse.2018.02.010","article-title":"CCI soil moisture assessment with SMOS soil moisture and in situ data under different environmental conditions and spatial scales in Spain","volume":"225","author":"Pablos","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"15388","DOI":"10.3390\/rs71115388","article-title":"Quality assessment of the CCI ECV soil moisture product using ENVISAT ASAR wide swath data over Spain, Ireland and Finland","volume":"7","author":"Pratola","year":"2015","journal-title":"Remote Sens."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"95","DOI":"10.5194\/gi-5-95-2016","article-title":"The Sodankyl\u00e4 in situ soil moisture observation network: An example application of ESA CCI soil moisture product evaluation","volume":"5","author":"Ikonen","year":"2016","journal-title":"Geosci. Instrum. Methods Data Syst."},{"key":"ref_39","first-page":"28","article-title":"Validation of the ESA CCI soil moisture product in China","volume":"48","author":"An","year":"2016","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"15729","DOI":"10.3390\/rs71115729","article-title":"Evaluation of satellite and reanalysis soil moisture products over southwest China using ground-based measurements","volume":"7","author":"Peng","year":"2015","journal-title":"Remote Sens."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Cui, C., Xu, J., Zeng, J., Chen, K.S., Bai, X., Lu, H., Chen, Q., and Zhao, T. (2018). Soil moisture mapping from satellites: An intercomparison of SMAP, SMOS, FY3B, AMSR2, and ESA CCI over two dense network regions at different spatial scales. Remote Sens., 10.","DOI":"10.3390\/rs10010033"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Zhu, L., Wang, H., Tong, C., Liu, W., and Du, B. (2019). Evaluation of ESA Active, Passive and Combined Soil Moisture Products Using Upscaled Ground Measurements. Sensors (Basel)., 19.","DOI":"10.3390\/s19122718"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Champagne, C., White, J., Berg, A., Belair, S., and Carrera, M. (2019). Impact of Soil Moisture Data Characteristics on the Sensitivity to Crop Yields Under Drought and Excess Moisture Conditions. Remote Sens., 11.","DOI":"10.3390\/rs11040372"},{"key":"ref_44","unstructured":"EODC (2018). Algorithm Theoretical Baseline Document (ATBD) Merging Active and Passive Soil Moisture Retrievals D2.1 Version 04.2."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"4442","DOI":"10.1109\/JSTARS.2015.2476358","article-title":"Evaluation of Spaceborne L-Band Radiometer Measurements for Terrestrial Freeze\/Thaw Retrievals in Canada","volume":"8","author":"Roy","year":"2015","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.geoderma.2016.07.023","article-title":"Comparative study of soil moisture estimations from SMOS satellite mission, GLDAS database, and cosmic-ray neutrons measurements at COSMOS station in Eastern Poland","volume":"283","author":"Zawadzki","year":"2016","journal-title":"Geoderma"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1373","DOI":"10.5194\/hess-20-1373-2016","article-title":"Estimating field-scale root zone soil moisture using the cosmic-ray neutron probe","volume":"20","author":"Peterson","year":"2016","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_48","unstructured":"ESA (2017). Land Cover CCI Product User Guide Version 2.0, ESA."},{"key":"ref_49","unstructured":"AAFC (2019). Real-Time In-Situ Soil Monitoring for Agriculture (RISMA) Network Metadata."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"1384","DOI":"10.1109\/TGRS.2012.2184548","article-title":"The SMOS Soil Moisture Retrieval Algorithm","volume":"50","author":"Kerr","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"639","DOI":"10.1016\/j.rse.2006.10.014","article-title":"L-band Microwave Emission of the Biosphere (L-MEB) Model: Description and calibration against experimental data sets over crop fields","volume":"107","author":"Wigneron","year":"2007","journal-title":"Remote Sens. Environ."},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Fernandez-Moran, R., Wigneron, J.-P., De Lannoy, G., Lopez-Baeza, E., Mialon, A., Mahmoodi, A., Parrens, M., Al Bitar, A., Richaume, P., and Kerr, Y. (2016, January 10\u201315). Calibrating the effective scattering albedo in the SMOS algorithm: Some first results. Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China .","DOI":"10.1109\/IGARSS.2016.7729209"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1016\/j.rse.2016.04.006","article-title":"Global-scale surface roughness effects at L-band as estimated from SMOS observations","volume":"181","author":"Parrens","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"F01002","DOI":"10.1029\/2007JF000769","article-title":"Multisensor historical climatology of satellite-derived global land surface moisture","volume":"113","author":"Owe","year":"2008","journal-title":"J. Geophys. Res."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"1999","DOI":"10.1109\/TGRS.2008.2011617","article-title":"An Improved Soil Moisture Retrieval Algorithm for ERS and METOP Scatterometer Observations","volume":"47","author":"Naeimi","year":"2009","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1016\/S0034-4257(99)00036-X","article-title":"A Method for Estimating Soil Moisture from ERS Scatterometer and Soil Data","volume":"70","author":"Wagner","year":"1999","journal-title":"Remote Sens. Environ."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1016\/j.rse.2012.03.014","article-title":"Trend-preserving blending of passive and active microwave soil moisture retrievals","volume":"123","author":"Liu","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_58","unstructured":"Wagner, W., Dorigo, W., de Jeu, R., Fernandez-Prieto, D., Benveniste, J., Haas, E., and Ertl, M. (September, January 25). Fusion of active and passive microwave observations to create an essential climate variable data record on soil moisture. Proceedings of the ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences; XXII ISPRS Congress, Melbourne, Australia."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1127\/0941-2948\/2013\/0399","article-title":"The ASCAT Soil Moisture Product: A Review of its Specifications, Validation Results, and Emerging Applications","volume":"22","author":"Wagner","year":"2013","journal-title":"Meteorol. Zeitschrift"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1175\/BAMS-85-3-381","article-title":"The Global Land Data Assimilation System","volume":"85","author":"Rodell","year":"2004","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_61","first-page":"200","article-title":"Recent advances in (soil moisture) triple collocation analysis","volume":"45","author":"Gruber","year":"2016","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"932","DOI":"10.1175\/JHM-D-13-0200.1","article-title":"A Preliminary Study toward Consistent Soil Moisture from AMSR2","volume":"16","author":"Parinussa","year":"2015","journal-title":"J. Hydrometeorol."},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"van der Schalie, R., de Jeu, R., Parinussa, R., Rodr\u00edguez-Fern\u00e1ndez, N., Kerr, Y., Al-Yaari, A., Wigneron, J.-P., and Drusch, M. (2018). The Effect of Three Different Data Fusion Approaches on the Quality of Soil Moisture Retrievals from Multiple Passive Microwave Sensors. Remote Sens., 10.","DOI":"10.3390\/rs10010107"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"L24405","DOI":"10.1029\/2005GL024889","article-title":"Relevance of time-varying and time-invariant retrieval error sources on the utility of spaceborne soil moisture products","volume":"32","author":"Crow","year":"2005","journal-title":"Geophys. Res. Lett."},{"key":"ref_65","unstructured":"(2020, February 01). R-core@R-project.org, R. kruskal.test. Available online: https:\/\/www.rdocumentation.org\/packages\/stats\/versions\/3.6.2\/topics\/kruskal.test."},{"key":"ref_66","unstructured":"(2020, February 01). R-core@R-project.org, R. wilcox.test. Available online: https:\/\/www.rdocumentation.org\/packages\/stats\/versions\/3.6.2\/topics\/wilcox.test."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1016\/j.rse.2019.02.008","article-title":"Assessment and inter-comparison of recently developed\/reprocessed microwave satellite soil moisture products using ISMN ground-based measurements","volume":"224","author":"Wigneron","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_68","first-page":"17","article-title":"Comparison of temporal trends from multiple soil moisture data sets and precipitation: The implication of irrigation on regional soil moisture trend","volume":"48","author":"Qiu","year":"2016","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"7183","DOI":"10.1029\/2000JD900719","article-title":"Summarizing multiple aspects of model performance in a single diagram","volume":"106","author":"Taylor","year":"2001","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"995","DOI":"10.1016\/j.rse.2009.12.011","article-title":"Effective soil moisture sampling depth of L-band radiometry: A case study","volume":"114","author":"Escorihuela","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"733","DOI":"10.1061\/(ASCE)1090-0241(2002)128:9(733)","article-title":"Impact of Soil Type and Compaction Conditions on Soil Water Characteristic","volume":"128","author":"Miller","year":"2002","journal-title":"J. Geotech. Geoenvironmental Eng."},{"key":"ref_72","doi-asserted-by":"crossref","unstructured":"El Hajj, M., Baghdadi, N., Zribi, M., Rodr\u00edguez-Fern\u00e1ndez, N., Wigneron, J., Al-Yaari, A., Al Bitar, A., Albergel, C., and Calvet, J.-C. (2018). Evaluation of SMOS, SMAP, ASCAT and Sentinel-1 Soil Moisture Products at Sites in Southwestern France. Remote Sens., 10.","DOI":"10.3390\/rs10040569"},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"3523","DOI":"10.5194\/hess-17-3523-2013","article-title":"Potential and limitations of multidecadal satellite soil moisture observations for selected climate model evaluation studies","volume":"17","author":"Loew","year":"2013","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"380","DOI":"10.1016\/j.rse.2014.07.023","article-title":"Evaluation of the ESA CCI soil moisture product using ground-based observations","volume":"162","author":"Dorigo","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_75","first-page":"7","article-title":"ERA5 reanalysis is in production, ECMWF Newsletter","volume":"147","author":"Hersbach","year":"2016","journal-title":"Spring"},{"key":"ref_76","doi-asserted-by":"crossref","unstructured":"Champagne, C., Zhang, Y., Cherneski, P., and Hadwen, T. (2018). Estimating Regional Scale Hydroclimatic Risk Conditions from the Soil Moisture Active-Passive (SMAP) Satellite. Geosciences, 8.","DOI":"10.3390\/geosciences8040127"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/9\/1455\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T14:09:55Z","timestamp":1760364595000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/9\/1455"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5,4]]},"references-count":76,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2020,5]]}},"alternative-id":["rs12091455"],"URL":"https:\/\/doi.org\/10.3390\/rs12091455","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,5,4]]}}}