{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T06:33:55Z","timestamp":1775284435085,"version":"3.50.1"},"reference-count":45,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2014,6,27]],"date-time":"2014-06-27T00:00:00Z","timestamp":1403827200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The comprehensive relationship of backscattering coefficient (\u03c30) values from two current X-band SAR sensors (COSMO-SkyMed and TerraSAR-X) with canopy biophysical variables were investigated using the SAR images acquired at VV polarization and shallow incidence angles. The difference and consistency of the two sensors were also examined. The chrono-sequential change of \u03c30 in rice paddies during the transplanting season revealed that \u03c30 reached the value of nearby water surfaces a day before transplanting, and increased significantly just after transplanting event (3 dB). Despite a clear systematic shift (6.6 dB) between the two sensors, the differences in \u03c30 between target surfaces and water surfaces in each image were comparable in both sensors. Accordingly, an image-based approach using the \u201cwater-point\u201d was proposed. It would be useful especially when absolute \u03c30 values are not consistent between sensors and\/or images. Among the various canopy variables, the panicle biomass was found to be  best correlated with X-band \u03c30. X-band SAR would be promising for direct assessments of rice grain yields at regional scales from space, whereas it would have limited capability to assess the whole-canopy variables only during the very early growth stages. The results provide a clear insight on the potential capability of X-band SAR sensors for rice monitoring.<\/jats:p>","DOI":"10.3390\/rs6075995","type":"journal-article","created":{"date-parts":[[2014,6,27]],"date-time":"2014-06-27T11:23:16Z","timestamp":1403868196000},"page":"5995-6019","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":36,"title":["Potential of X-Band Images from High-Resolution Satellite SAR Sensors to Assess Growth and Yield in Paddy Rice"],"prefix":"10.3390","volume":"6","author":[{"given":"Yoshio","family":"Inoue","sequence":"first","affiliation":[{"name":"National Institute for Agro-Environmental Sciences, Tsukuba, Ibaraki 305-8604, Japan"}]},{"given":"Eiji","family":"Sakaiya","sequence":"additional","affiliation":[{"name":"Aomori-ITC Agricultural Research Institute, Kuroishi 036-0522, Japan"}]},{"given":"Cuizhen","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Geography, University of South Carolina, Columbia, SC 29208, USA"}]}],"member":"1968","published-online":{"date-parts":[[2014,6,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1016\/S0034-4257(97)00045-X","article-title":"Opportunities and limitations for image-based remote sensing in precision crop management","volume":"61","author":"Moran","year":"1997","journal-title":"Remote Sens. Environ"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1626\/pps.6.3","article-title":"Synergy of remote sensing and modeling for estimating ecophysiological processes in plant production","volume":"6","author":"Inoue","year":"2003","journal-title":"Plant Prod. Sci"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"548","DOI":"10.1016\/j.rse.2004.05.017","article-title":"Crop condition and yield simulation using Landsat and MODIS","volume":"92","author":"Doraiswamy","year":"2004","journal-title":"Remote Sens. Environ"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1589","DOI":"10.3390\/rs2061589","article-title":"Monitoring global croplands with coarse resolution earth observations: The Global Agriculture Monitoring (GLAM) Project","volume":"2","author":"Justice","year":"2010","journal-title":"Remote Sens"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"D03305","DOI":"10.1029\/2006JD007208","article-title":"Temporal variations of the atmospheric nitrous oxide concentration and its \u03b415N and \u03b418O for the latter half of the 20th century reconstructed from firn air analyses","volume":"112","author":"Ishijima","year":"2007","journal-title":"J. Geophys. Res"},{"key":"ref_6","unstructured":"Nishio, M. (2005). Agriculture and Environmental Pollution\u2014Technology and Policy for Soil Environment, Rural culture Association."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1080\/00207233.2012.670479","article-title":"Synoptic assessment of environmental impact of agricultural management: A case study on nitrogen fertilizer impact on groundwater quality, using a fine-scale geoinformation system","volume":"69","author":"Inoue","year":"2012","journal-title":"Int. J. Environ. Stud"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1109\/36.551933","article-title":"Rice crop mapping and monitoring using ERS-1 data based on experiment and modeling results","volume":"35","author":"Ribbes","year":"1997","journal-title":"IEEE Trans. Geosci. Remote Sens"},{"key":"ref_9","unstructured":"Henderson, F., and Lewis, A. (1998). Manual of Remote Sensing Principles and Applications Imaging Radar, Wiley. [3rd ed]."},{"key":"ref_10","unstructured":"Hillel, D. (2005). Encyclopedia of Soils in the Environment, Elsevier Ltd."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Lopez-Sanchez, J.M., and Ballester-Berman, J.D. (2009). Potentials of polarimetric SAR interferometry for agriculture monitoring. Radio Sci, 44.","DOI":"10.1029\/2008RS004078"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"288","DOI":"10.1080\/2150704X.2012.725482","article-title":"Relationship between X-band backscattering coefficients from high-resolution satellite SAR and biophysical variables in paddy rice","volume":"4","author":"Inoue","year":"2013","journal-title":"Remote Sens. Lett"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1016\/j.rse.2013.09.001","article-title":"Capability of C-band backscattering coefficients from high-resolution satellite SAR sensors to assess biophysical variables in paddy rice","volume":"140","author":"Inoue","year":"2014","journal-title":"Remote Sens. Environ"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.atmosres.2013.05.010","article-title":"Analysis of dual polarization images of precipitating clouds collected by the COSMO SkyMed constellation","volume":"144","author":"Baldini","year":"2014","journal-title":"Atmos. Res"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"2953","DOI":"10.1080\/014311697217143","article-title":"The identification of rice fields using multi-temporal ERS-1 C band SAR data","volume":"18","author":"Kurosu","year":"1997","journal-title":"Int. J. Remote Sens"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"745","DOI":"10.1080\/014311699213172","article-title":"Rice field mapping and monitoring with RADARSAT data","volume":"20","author":"Ribbes","year":"1993","journal-title":"Int. J. Remote Sens"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"4135","DOI":"10.1080\/01431161.2011.642018","article-title":"Methodology to classify rice cultural types based on water regimes using multi-temporal RADARSAT-1 data","volume":"33","author":"Choudhury","year":"2012","journal-title":"Int. J. Remote Sens"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"517","DOI":"10.1109\/TGRS.2008.2007963","article-title":"Monitoring of the rice cropping system in the Mekong Delta using ENVISAT\/ASAR dual polarization data","volume":"47","author":"Bouvet","year":"2009","journal-title":"IEEE Trans. Geosci. Remote Sens"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"412","DOI":"10.1109\/JSTARS.2010.2047634","article-title":"First results of rice monitoring practices in Spain by means of time series of TerraSAR-X dual-pol images","volume":"4","author":"Hajnsek","year":"2011","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens"},{"key":"ref_20","first-page":"2977","article-title":"Polarimetric response of rice fields at C-band: Analysis and phenology retrieval","volume":"52","author":"Cloude","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1016\/0034-4257(91)90081-G","article-title":"Crop parameter estimation from ground-based X-band (3-cm wave) radar backscattering data","volume":"37","author":"Bouman","year":"1991","journal-title":"Remote Sens. Environ"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1016\/0034-4257(93)90053-Z","article-title":"Estimating surface soil moisture and leaf area index of a wheat canopy using a dual-frequency (C and X bands) scatterometer","volume":"46","author":"Champion","year":"1993","journal-title":"Remote Sens. Environ"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1016\/S0034-4257(01)00343-1","article-title":"Season-long daily measurements of multifrequency (Ka, Ku, X, C, and L) and full-polarization backscatter signatures over paddy rice field and their relationship with biological variables","volume":"81","author":"Inoue","year":"2002","journal-title":"Remote Sens. Environ"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"310","DOI":"10.1016\/S0034-4257(00)00212-1","article-title":"Rice monitoring and production estimation using multitemporal RADARSAT","volume":"76","author":"Shao","year":"2001","journal-title":"Remote Sens. Environ"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"310","DOI":"10.1016\/j.isprsjprs.2005.05.001","article-title":"Rice crop parameter retrieval using multi-temporal, multi-incidence angle Radarsat SAR data","volume":"59","author":"Chakraborty","year":"2005","journal-title":"ISPRS J. Photogramm. Remote Sens"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"2695","DOI":"10.1109\/TGRS.2011.2176740","article-title":"Rice phenology monitoring by means of SAR polarimetry at X-band","volume":"50","author":"Cloude","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"988","DOI":"10.1109\/TGRS.2008.2008309","article-title":"Characterizing L-band scattering of paddy rice in southeast China with radiative transfer model and multitemporal ALOS\/PALSAR imagery","volume":"47","author":"Wang","year":"2009","journal-title":"IEEE Trans. Geosci. Remote Sens"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"4370","DOI":"10.1016\/j.rse.2008.08.004","article-title":"Analysis of TerraSAR-X data and their sensitivity to soil surface parameters over bare agricultural fields","volume":"112","author":"Baghdadi","year":"2008","journal-title":"Remote Sens. Environ"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1724","DOI":"10.1016\/j.rse.2009.04.005","article-title":"Potential of SAR sensors TerraSAR-X, ASAR\/ENVISAT and PALSAR\/ALOS for monitoring sugarcane crops on Reunion Island","volume":"113","author":"Baghdadi","year":"2009","journal-title":"Remote Sens. Environ"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"874","DOI":"10.1109\/TGRS.2009.2028019","article-title":"Analysis of local variation of soil surface parameters with TerraSAR-X radar data over bare agricultural fields","volume":"48","author":"Anguela","year":"2010","journal-title":"IEEE Trans. Geosci. Remote Sens"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1080\/01431161.2011.559288","article-title":"ALOS PALSAR L-band polarimetric SAR data and in situ measurements for leaf area index assessment","volume":"3","author":"Canisius","year":"2012","journal-title":"Remote Sens. Lett"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Fieuzal, R., Baup, F., and Marais-Sicre, C. (2012, January 18). Sensitivity of TERRASAR-X, RADARSAT-2 and ALOS Satellite Radar Data to Crop Variables. Munich, Gremany.","DOI":"10.1109\/IGARSS.2012.6350504"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"7644","DOI":"10.1080\/01431161.2012.702233","article-title":"A comparison of TerraSAR-X Quadpol backscattering with RapidEye multispectral vegetation indices over rice fields in the Mekong Delta, Vietnam","volume":"33","author":"Gebhardt","year":"2012","journal-title":"Int. J. Remote Sens"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Santi, E., Fontanelli, G., Montomoli, F., Brogioni, M., Macelloni, G., Paloscia, S., Pettinato, S., and Pampaloni, P. (2012, January 18). The Retrieval and Monitoring of Vegetation Parameters from COSMO-SkyMed Images. Munich, Germany.","DOI":"10.1109\/IGARSS.2012.6351952"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Satalino, G., Panciera, R., Balenzano, A., Mattia, F., and Walker, J. (2012, January 18). COSMO-SkyMed Multi-Temporal Data for Land Cover Classification and Soil Moisture Retrieval Over an Agricultural Site in Southern Australia. Munich, Germany.","DOI":"10.1109\/IGARSS.2012.6352317"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Paloscia, S., Pampaloni, P., Santi, E., Pettinato, S., Brogioni, M., Palchetti, E., and Crepaz, A. (2012, January 18). Comparison of Cosmo-SkyMed and TerraSAR-X Data for the Retrieval of Land Hydropogical Parameters. Munich, Germany.","DOI":"10.1109\/IGARSS.2012.6352358"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"2928","DOI":"10.3390\/rs5062928","article-title":"The intercomparison of X-band SAR images from COSMO-SkyMed and TerraSAR-X satellites: Case studies","volume":"5","author":"Pettinato","year":"2013","journal-title":"Remote Sens"},{"key":"ref_38","unstructured":"(2012). Statistical Report on Agriculture and Forestry 2012, MAFF-J."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/0034-4257(95)00048-6","article-title":"A microwave polarimetric scattering model for forest canopies based on vector radiative transfer theory","volume":"53","author":"Karam","year":"1995","journal-title":"Remote Sens. Environ"},{"key":"ref_40","unstructured":"Matsuo, T., Kumazawa, K., Ishii, R., Ishihara, H., and Hirata, H. (1995). Science of the Rice Plant, Food and Agriculture Policy Research Center."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/0034-4257(84)90010-5","article-title":"Relating the microwave backscattering coefficient to leaf area index","volume":"14","author":"Ulaby","year":"1984","journal-title":"Remote Sens. Environ"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1016\/S0034-4257(96)00243-X","article-title":"Combining multifrequency microwave and optical data for crop management","volume":"61","author":"Moran","year":"1997","journal-title":"Remote Sens. Environ"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"434","DOI":"10.1016\/j.isprsjprs.2008.07.006","article-title":"Integration of optical and Synthetic Aperture Radar (SAR) imagery for delivering operational annual crop inventories","volume":"64","author":"McNairn","year":"2009","journal-title":"ISPRS J. Photogramm. Remote Sens"},{"key":"ref_44","first-page":"287","article-title":"Assessing land use and carbon stock in slash-and-burn ecosystems in tropical mountain of Laos based on time-series satellite images","volume":"12","author":"Inoue","year":"2010","journal-title":"Int. J. Appl. Earth Obs. Geoinf"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1080\/01431161003743173","article-title":"Assessing object-based classification: Advantages and limitations","volume":"1","author":"Liu","year":"2010","journal-title":"Remote Sens. Lett"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/6\/7\/5995\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T21:13:00Z","timestamp":1760217180000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/6\/7\/5995"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,6,27]]},"references-count":45,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2014,7]]}},"alternative-id":["rs6075995"],"URL":"https:\/\/doi.org\/10.3390\/rs6075995","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,6,27]]}}}