{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T15:34:22Z","timestamp":1772120062057,"version":"3.50.1"},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2023,3,22]],"date-time":"2023-03-22T00:00:00Z","timestamp":1679443200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,3,22]],"date-time":"2023-03-22T00:00:00Z","timestamp":1679443200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Earth Sci Inform"],"published-print":{"date-parts":[[2023,6]]},"DOI":"10.1007\/s12145-023-00996-8","type":"journal-article","created":{"date-parts":[[2023,3,26]],"date-time":"2023-03-26T23:23:04Z","timestamp":1679872984000},"page":"1909-1916","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["An improved method for estimating soil moisture over cropland using SAR and optical data"],"prefix":"10.1007","volume":"16","author":[{"given":"Dayou","family":"Luo","sequence":"first","affiliation":[]},{"given":"Xingping","family":"Wen","sequence":"additional","affiliation":[]},{"given":"Shuling","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,3,22]]},"reference":[{"issue":"8","key":"996_CR1","doi-asserted-by":"publisher","first-page":"1801","DOI":"10.1016\/j.rse.2011.02.021","volume":"115","author":"M Aubert","year":"2011","unstructured":"Aubert M, Baghdadi N, Zribi M, Douaoui A, Garrigues S (2011) Analysis of terrasar-x data sensitivity to bare soil moisture, roughness, composition and soil crust. Remote Sens. Environ. 115(8):1801\u20131810. https:\/\/doi.org\/10.1016\/j.rse.2011.02.021","journal-title":"Remote Sens. Environ."},{"key":"996_CR2","doi-asserted-by":"publisher","first-page":"1607","DOI":"10.5194\/hess-16-1607-2012","volume":"16","author":"N Baghdadi","year":"2012","unstructured":"Baghdadi N, Cresson R, El Hajj M, Ludwig R, La Jeunesse I (2012) Estimation of soil parameters over bare agriculture areas from C-band polarimetric SAR data using neural networks. Hydrology and Earth System Sciences 16:1607\u20131621. https:\/\/doi.org\/10.5194\/hess-16-1607-2012","journal-title":"Hydrology and Earth System Sciences"},{"key":"996_CR3","doi-asserted-by":"publisher","first-page":"439","DOI":"10.1109\/JSTARS.2010.2052916","volume":"4","author":"A Balenzano","year":"2011","unstructured":"Balenzano A, Mattia F, Satalino G, Davidson MW (2011) Dense temporal series of C and L-band SAR data for soil moisture retrieval over agricultural crops. IEEE J. Select. Top. Appl. Earth Observations Remote Sens. 4:439\u2013450. https:\/\/doi.org\/10.1109\/JSTARS.2010.2052916","journal-title":"Top. Appl. Earth Observations Remote Sens."},{"key":"996_CR4","doi-asserted-by":"publisher","first-page":"721","DOI":"10.5721\/EuJRS20134643","volume":"46","author":"A Balenzano","year":"2013","unstructured":"Balenzano A, Satalino G, Lovergine F, Rinaldi M, Iacobellis V, Mastronardi N, Mattia F (2013) On the use of temporal series of L-and X-band SAR data for soil moisture retrieval. Capitanata plain case study. Eur. J. Remote Sensing 46:721\u2013737. https:\/\/doi.org\/10.5721\/EuJRS20134643","journal-title":"Eur. J. Remote Sensing"},{"issue":"1","key":"996_CR5","doi-asserted-by":"publisher","first-page":"520","DOI":"10.1109\/TGRS.2018.2858004","volume":"57","author":"B Bauer-Marschallinger","year":"2018","unstructured":"Bauer-Marschallinger B, Freeman V, Cao S et al (2018) Toward global soil moisture monitoring with Sentinel-1: harnessing assets and overcoming obstacles. IEEE Trans. Geosci. Remote Sens. 57(1):520\u2013539. https:\/\/doi.org\/10.1109\/TGRS.2018.2858004","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"996_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.agrformet.2012.06.003","volume":"165","author":"C Champagne","year":"2012","unstructured":"Champagne C, Berg A, McNairn H, Drewitt G, Huffman T (2012) Evaluation of soil moisture extremes for agricultural productivity in the Canadian prairies. Agric. For. Meteorol. 165:1\u201311. https:\/\/doi.org\/10.1016\/j.agrformet.2012.06.003","journal-title":"Agric. For. Meteorol."},{"key":"996_CR7","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1109\/TGRS.2002.807587","volume":"41","author":"KS Chen","year":"2003","unstructured":"Chen KS, Tzong-Dar W, Tsang L, Li Q, Shi J, Fung AK (2003) Emission of rough surfaces calculated by the integral equation method with comparison to three-dimensional moment method simulations. IEEE Trans. Geosci. Remote Sens. 41:90\u2013101. https:\/\/doi.org\/10.1109\/TGRS.2002.807587","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"996_CR8","doi-asserted-by":"publisher","unstructured":"Dey S, Mandal D, Robertson LD, Banerjee B, Kumar V, McNairn H, Bhattacharya A, Rao Y (2020) In-season crop classification using elements of the kennaugh matrix derived from polarimetric radarsat-2 sar data. Int. J. Appl. Earth Obs. Geoinf. 88:102059. https:\/\/doi.org\/10.1016\/j.jag.2020.102059","DOI":"10.1016\/j.jag.2020.102059"},{"issue":"12","key":"996_CR9","doi-asserted-by":"publisher","first-page":"1292","DOI":"10.3390\/rs9121292","volume":"9","author":"M El Hajj","year":"2017","unstructured":"El Hajj M, Baghdadi N, Zribi M, Bazz H (2017) Synergic use of Sentinel-1 and Sentinel-2 images for operational soil moisture mapping at high spatial resolution over agricultural areas. Remote Sens. 9(12):1292. https:\/\/doi.org\/10.3390\/rs9121292","journal-title":"Remote Sens."},{"issue":"1","key":"996_CR10","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.rse.2010.07.011","volume":"115","author":"I Gherboudj","year":"2011","unstructured":"Gherboudj I, Magagi R, Berg AA, Toth B (2011) Soil moisture retrieval over agricultural fields from multi-polarized and multi-angular radarsat-2 sar data. Remote Sensing of Environment 115(1):33\u201343. https:\/\/doi.org\/10.1016\/j.rse.2010.07.011","journal-title":"Remote Sensing of Environment"},{"key":"996_CR11","doi-asserted-by":"publisher","first-page":"747","DOI":"10.3390\/rs70100747","volume":"7","author":"A Gorrab","year":"2015","unstructured":"Gorrab A, Zribi M, Baghdadi N, Mougenot B, Chabaane Z (2015) Potential of X-band TerraSAR-X and COSMO-SkyMed SAR data for the assessment of physical soil parameters. Remote Sens. 7:747\u2013766. https:\/\/doi.org\/10.3390\/rs70100747","journal-title":"Remote Sens."},{"key":"996_CR12","doi-asserted-by":"publisher","first-page":"202","DOI":"10.1016\/j.rse.2016.01.027","volume":"176","author":"ME Hajj","year":"2016","unstructured":"Hajj ME, Baghd AdIN, Zribi M, Belaud G, Cheviron B et al (2016) Soil moisture retrieval over irrigated grassland using x-band sar data. Remote Sensing of Environment 176:202\u2013218. https:\/\/doi.org\/10.1016\/j.rse.2016.01.027","journal-title":"Remote Sensing of Environment"},{"issue":"8","key":"996_CR13","doi-asserted-by":"publisher","first-page":"2519","DOI":"10.1109\/TGRS.2009.2014944","volume":"47","author":"Y Kim","year":"2009","unstructured":"Kim Y, Van Zyl JJ (2009) A Time-Series Approach to Estimate Soil Moisture Using Polarimetric Radar Data. IEEE Transactions on Geoscience & Remote Sensing 47(8):2519\u20132527. https:\/\/doi.org\/10.1109\/TGRS.2009.2014944","journal-title":"IEEE Transactions on Geoscience & Remote Sensing"},{"key":"996_CR14","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1016\/j.jhydrol.2013.05.050","volume":"498","author":"W Korres","year":"2013","unstructured":"Korres W, Reichenau TG, Schneider K (2013) Patterns and scaling properties of surface soil moisture in an agricultural landscape: an ecohydrological modeling study. J. Hydrol. 498:89\u2013102. https:\/\/doi.org\/10.1016\/j.jhydrol.2013.05.050","journal-title":"J. Hydrol."},{"issue":"5687","key":"996_CR15","doi-asserted-by":"publisher","first-page":"1138","DOI":"10.1126\/science.1100217","volume":"305","author":"R Koster","year":"2004","unstructured":"Koster R, Dirmeyer P, Guo Z, Bonan G et al (2004) Regions of Strong Coupling Between Soil Moisture and Precipitation. Science 305(5687):1138\u20131140. https:\/\/doi.org\/10.1126\/science.1100217","journal-title":"Science"},{"key":"996_CR16","doi-asserted-by":"publisher","unstructured":"Leenhardt D, Trouvat JL, Gonzal\u00e8s G, P\u00e9rarnaud V, Prats S, Bergez JE (2004) Estimating irrigation demand for water management on a regional scale: i. adeaumis, a simulation platform based on bio-decisional modelling and spatial information.\u00a0Agricultural Water Management\u00a068(3): 207-232. https:\/\/doi.org\/10.1016\/j.agwat.2004.04.004","DOI":"10.1016\/j.agwat.2004.04.004"},{"key":"996_CR17","doi-asserted-by":"publisher","unstructured":"Mandal D, Kumar V, Ratha D, et al. (2020) Dual polarimetric radar vegetation index for crop growth monitoring using sentinel-1 SAR data. Remote Sensing of Environment 247:111954. https:\/\/doi.org\/10.1016\/j.rse.2020.111954","DOI":"10.1016\/j.rse.2020.111954"},{"key":"996_CR18","doi-asserted-by":"publisher","first-page":"343","DOI":"10.5194\/hess-13-343-2009","volume":"13","author":"F Mattia","year":"2009","unstructured":"Mattia F, Satalino G, Pauwels V, Loew A (2009) Soil moisture retrieval through a merging of multi-temporal L-band SAR data and hydrologic modelling. Hydrol. Earth Syst. Sci. 13:343\u2013356. https:\/\/doi.org\/10.5194\/hess-13-343-2009","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"996_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.compag.2020.105303","volume":"171","author":"A Sekertekin","year":"2020","unstructured":"Sekertekin A, Marangoz AM, Abdikan S (2020) ALOS-2 and Sentinel-1 SAR data sensitivity analysis to surface soil moisture over bare and vegetated agricultural fields. Computers and Electronics in Agriculture 171:1\u201311. https:\/\/doi.org\/10.1016\/j.compag.2020.105303","journal-title":"Computers and Electronics in Agriculture"},{"issue":"6","key":"996_CR20","doi-asserted-by":"publisher","first-page":"1348","DOI":"10.1109\/TGRS.2002.800232","volume":"40","author":"Y Oh","year":"2002","unstructured":"Oh Y, Sarabandi K, Ulaby FT (2002) Semi-empirical model of the ensemble-averaged differential mueller matrix for microwave backscattering from bare soil surfaces. Geoscience & Remote Sensing IEEE Transactions on 40(6):1348\u20131355. https:\/\/doi.org\/10.1109\/TGRS.2002.800232","journal-title":"Geoscience & Remote Sensing IEEE Transactions on"},{"issue":"6","key":"996_CR21","doi-asserted-by":"publisher","first-page":"3186","DOI":"10.1109\/TGRS.2017.2663768","volume":"55","author":"JD Ouellette","year":"2017","unstructured":"Ouellette JD, Johnson JT, Balenzano A, Mattia F, Satalino G, Kim SB et al (2017) A time-series approach to estimating soil moisture from vegetated surfaces using L-band radar backscatter. IEEE Trans. Geosci. Remote Sens. 55(6):3186\u20133193. https:\/\/doi.org\/10.1109\/TGRS.2017.2663768","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"1\u20132","key":"996_CR22","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1016\/j.jhydrol.2008.12.023","volume":"375","author":"S Saux-Picart","year":"2009","unstructured":"Saux-Picart S, Ottl\u00e9 C, Decharme B et al (2009) Water and energy budgets simulation over the AMMA-Niger super-site spatially constrained with remote sensing data. Journal of Hydrology 375(1\u20132):287\u2013295. https:\/\/doi.org\/10.1016\/j.jhydrol.2008.12.023","journal-title":"Journal of Hydrology"},{"issue":"8","key":"996_CR23","doi-asserted-by":"publisher","first-page":"559","DOI":"10.1016\/j.jssas.2021.06.006","volume":"20","author":"AK Shakya","year":"2021","unstructured":"Shakya AK, Romola A, Kandwal A, Vidyarthi A (2021) Soil moisture sensor for agricultural applications inspired from state of art study of surfaces scattering models & semi-empirical soil moisture models - sciencedirect. Journal of the Saudi Society of Agricultural Sciences 20(8):559\u2013572. https:\/\/doi.org\/10.1016\/j.jssas.2021.06.006","journal-title":"Journal of the Saudi Society of Agricultural Sciences"},{"key":"996_CR24","doi-asserted-by":"publisher","unstructured":"Shi H, Zhao L, Yang J, Lopez-Sanchez JM, Zhao J, Sun W, Shi L, Li P (2021) Soil moisture retrieval over agricultural fields from l-band multi-incidence and multitemporal polsar observations using polarimetric decomposition techniques. Remote Sens. Environ. 261:112485. https:\/\/doi.org\/10.1016\/j.rse.2021.112485","DOI":"10.1016\/j.rse.2021.112485"},{"key":"996_CR25","doi-asserted-by":"publisher","unstructured":"Stuurop JC, Sjoerd EATM, van der Zee, Voss CI, French HK (2021) Simulating water and heat transport with freezing and cryosuction in unsaturated soil: comparing an empirical, semi-empirical and physically-based approach.\u00a0Advances in Water Resources\u00a0149(2):103846. https:\/\/doi.org\/10.1016\/j.advwatres.2021.103846","DOI":"10.1016\/j.advwatres.2021.103846"},{"issue":"4","key":"996_CR26","doi-asserted-by":"publisher","first-page":"514","DOI":"10.5589\/m12-043","volume":"38","author":"M Trudel","year":"2012","unstructured":"Trudel M, Charbonneau F, Leconte R (2012) Using RADARSAT-2 polarimetric and ENVISAT-ASAR dual-polarization data for estimating soil moisture over agricultural fields. Can. J. Remote. Sens. 38(4):514\u2013527. https:\/\/doi.org\/10.5589\/m12-043","journal-title":"Can. J. Remote. Sens."},{"key":"996_CR27","doi-asserted-by":"publisher","unstructured":"Ulaby FT, Moore RK, Fung AK (1981) Microwave remote sensing: active and passive. volume 1 - microwave remote sensing fundamentals and radiometry.\u00a0Remote Sensing A. https:\/\/doi.org\/10.1109\/IGARSS.2007.4423026","DOI":"10.1109\/IGARSS.2007.4423026"},{"key":"996_CR28","unstructured":"Wang R, Song X, Ma J, Sun C (2018) Retrieval of soil moisture in Zhangye Prefecture based on Radarsat-2 data. Journal of University of Chinese Academy of Sciences 3(35):327-335. 10.7523 \/j.issn.2095-6134.2018.03.007"},{"key":"996_CR29","doi-asserted-by":"publisher","unstructured":"Wang Z, Zhao T, Qiu J, Zhao X, Li R, Wang S (2020) Microwave-based vegetation descriptors in the parameterization of water cloud model at L-band for soil moisture retrieval over croplands. GISci. Remote Sens. 1-20. https:\/\/doi.org\/10.1080\/15481603.2020.1857123","DOI":"10.1080\/15481603.2020.1857123"},{"key":"996_CR30","doi-asserted-by":"publisher","first-page":"1383","DOI":"10.1109\/JSTARS.2013.2269996","volume":"7","author":"J Wei","year":"2014","unstructured":"Wei J, Li P, Yang J, Zhang J, Lang F (2014) A new automatic ship detection method using L-band polarimetric SAR imagery. IEEE J. Select. Top. Appl. Earth Observations Remote Sensing 7:1383\u20131393. https:\/\/doi.org\/10.1109\/JSTARS.2013.2269996","journal-title":"Top. Appl. Earth Observations Remote Sensing"},{"issue":"4","key":"996_CR31","doi-asserted-by":"publisher","first-page":"743","DOI":"10.1109\/TGRS.2003.815405","volume":"42","author":"TD Wu","year":"2004","unstructured":"Wu TD, Chen KS (2004) A reappraisal of the validity of the iem model for backscattering from rough surfaces. Geoscience & Remote Sensing IEEE Transactions on 42(4):743\u2013753. https:\/\/doi.org\/10.1109\/TGRS.2003.815405","journal-title":"Geoscience & Remote Sensing IEEE Transactions on"},{"key":"996_CR32","doi-asserted-by":"publisher","unstructured":"Zheng X, Feng Z, Li L, Li B, Chen S (2021) Simultaneously estimating surface soil moisture and roughness of bare soils by combining optical and radar data.\u00a0International Journal of Applied Earth Observation and Geoinformation\u00a0100(22):102345. https:\/\/doi.org\/10.1016\/j.jag.2021.102345","DOI":"10.1016\/j.jag.2021.102345"},{"issue":"2","key":"996_CR33","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1016\/j.rse.2006.10.026","volume":"112","author":"MM Rahman","year":"2008","unstructured":"Rahman MM, Moran MS, Thoma DP, Bryant R, Collins C, Jackson T et al (2008) Mapping surface roughness and soil moisture using multi-angle radar imagery without ancillary data. Remote Sensing of Environment 112(2):391\u2013402. https:\/\/doi.org\/10.1016\/j.rse.2006.10.026","journal-title":"Remote Sensing of Environment"},{"key":"996_CR34","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1016\/j.rse.2019.02.027","volume":"225","author":"L Zhu","year":"2019","unstructured":"Zhu L, Walker JP, Ye N, R\u00fcdiger C (2019) Roughness and vegetation change detection: a pre-processing for soil moisture retrieval from multi-temporal sar imagery. Remote Sensing of Environment 225:93\u2013106. https:\/\/doi.org\/10.1016\/j.rse.2019.02.027","journal-title":"Remote Sensing of Environment"},{"issue":"1","key":"996_CR35","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1016\/S0034-4257(02)00069-X","volume":"84","author":"M Zribi","year":"2002","unstructured":"Zribi M, Dechambre M (2002) A new empirical model to retrieve soil moisture and roughness from c-band radar data. Remote Sensing of Environment 84(1):42\u201352. https:\/\/doi.org\/10.1016\/S0034-4257(02)00069-X","journal-title":"Remote Sensing of Environment"},{"key":"996_CR36","doi-asserted-by":"publisher","first-page":"1122","DOI":"10.3390\/rs11091122","volume":"11","author":"M Zribi","year":"2019","unstructured":"Zribi M, Muddu S, Bousbih S, Al Bitar A, Tomer SK, Baghdadi N, Bandyopadhyay S (2019) Analysis of L-band SAR data for soil moisture estimations over agricultural areas in the tropics. Remote Sens. 11:1122. https:\/\/doi.org\/10.3390\/rs11091122","journal-title":"Remote Sens."}],"container-title":["Earth Science Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12145-023-00996-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12145-023-00996-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12145-023-00996-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,20]],"date-time":"2023-05-20T03:36:45Z","timestamp":1684553805000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12145-023-00996-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,22]]},"references-count":36,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2023,6]]}},"alternative-id":["996"],"URL":"https:\/\/doi.org\/10.1007\/s12145-023-00996-8","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-1881731\/v1","asserted-by":"object"}]},"ISSN":["1865-0473","1865-0481"],"issn-type":[{"value":"1865-0473","type":"print"},{"value":"1865-0481","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,3,22]]},"assertion":[{"value":"21 July 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 March 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 March 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}]}}