{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,7]],"date-time":"2026-01-07T08:04:49Z","timestamp":1767773089914,"version":"build-2065373602"},"reference-count":72,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2019,7,3]],"date-time":"2019-07-03T00:00:00Z","timestamp":1562112000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2017YFD0300301; 2016YFD0300201"],"award-info":[{"award-number":["2017YFD0300301; 2016YFD0300201"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["31761143006; 31561143003; 41571493; 41571088"],"award-info":[{"award-number":["31761143006; 31561143003; 41571493; 41571088"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006132","name":"State Key Laboratory of Earth Surface Processes and Resource Ecology","doi-asserted-by":"publisher","award":["None"],"award-info":[{"award-number":["None"]}],"id":[{"id":"10.13039\/501100006132","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Few studies have focused on the potential impacts of topography on regional crop simulation, which might constrain the development of crop models and lead to inaccurate estimations for food security. In this study, we used remote sensing data to calibrate a regional crop model (MCWLA-Rice) for yield simulation in a double-rice crop rotation system in counties of Hunan province dominated by three landforms (plain, hill, and mountain). The calibration scheme with coarse remote sensing data (Global LAnd Surface Satellite, GLASS) greatly improved model accuracy for the double-rice system and is a promising method for yield estimation in large areas. The average improvement in relative root mean square error (RRMSE) was at most 48.00% for early rice and 41.25% for late rice. The average improvement in coefficient of determination (R2) value was at most 0.54 for early rice and 0.19 for late rice. Estimation of yield in counties dominated by different landform types indicated that: (1) MCWLA-Rice tended to be unstable in areas of complex topography and resulted in unbalanced proportions of overestimations and underestimations. (2) Differences in yield simulation between early rice and late rice varied among counties; yield estimates were highest in predominantly hilly counties, followed by counties dominated by plains, and lowest in predominantly mountainous counties. The results indicated that the topography might harm the accuracy of crop model simulations. Integration of topographic factors into crop models may enable yield estimation with enhanced accuracy to promote social development.<\/jats:p>","DOI":"10.3390\/rs11131577","type":"journal-article","created":{"date-parts":[[2019,7,3]],"date-time":"2019-07-03T11:14:49Z","timestamp":1562152489000},"page":"1577","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Double-Rice System Simulation in a Topographically Diverse Region\u2014A Remote-Sensing-Driven Case Study in Hunan Province of China"],"prefix":"10.3390","volume":"11","author":[{"given":"Jing","family":"Zhang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Earth Surface Processes and Resource Ecology, Key Laboratory of Environmental Change and Natural Hazards, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"}]},{"given":"Zhao","family":"Zhang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Earth Surface Processes and Resource Ecology, Key Laboratory of Environmental Change and Natural Hazards, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"}]},{"given":"Chenzhi","family":"Wang","sequence":"additional","affiliation":[{"name":"Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China"}]},{"given":"Fulu","family":"Tao","sequence":"additional","affiliation":[{"name":"Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"}]}],"member":"1968","published-online":{"date-parts":[[2019,7,3]]},"reference":[{"key":"ref_1","unstructured":"Food and Agriculture Organization of the United Nations (FAO) (2010, July 14). FAOSTAT Database 2010. Available online: http:\/\/www.fao.org\/fishery\/org\/GlobalRecord\/en."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1007\/s12571-012-0168-1","article-title":"Crops that feed the world 7: Rice","volume":"4","author":"Seck","year":"2012","journal-title":"Food Secur."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"777","DOI":"10.1007\/s10584-014-1136-x","article-title":"Temperature variations and rice yields in China: Historical contributions and future trends","volume":"124","author":"Wang","year":"2014","journal-title":"Clim. Change"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1016\/j.eja.2012.07.005","article-title":"Spatiotemporal changes of wheat phenology in China under the effects of temperature, day length and cultivar thermal characteristics","volume":"43","author":"Tao","year":"2012","journal-title":"Eur. J. Agron."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"635","DOI":"10.1007\/s10584-015-1545-5","article-title":"How much yield loss has been caused by extreme temperature stress to the irrigated rice production in China?","volume":"134","author":"Wang","year":"2016","journal-title":"Clim. Chang."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"514","DOI":"10.2134\/agronj2005.0514","article-title":"Management, topographical, and weather effects on spatial variability of crop grain yields","volume":"97","author":"Kravchenko","year":"2005","journal-title":"Agron. J."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1463","DOI":"10.2134\/agronj2007.0325","article-title":"Management effects on relationships of crop yields with topography represented by wetness index and precipitation","volume":"100","author":"Huang","year":"2008","journal-title":"Agron. J."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"813","DOI":"10.1007\/s11119-011-9221-x","article-title":"The impact of topography on soil properties and yield and the effects of weather conditions","volume":"12","year":"2011","journal-title":"Precis. Agric."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/j.agrformet.2005.05.005","article-title":"Simulating potential response of hydrology, soil erosion, and crop productivity to climate change in Changwu tableland region on the Loess Plateau of China","volume":"131","author":"Zhang","year":"2005","journal-title":"Agric. For. Meteorol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1007\/s00484-007-0104-9","article-title":"Climatic impacts on winter wheat in Oklahoma and potential applications to climatic and crop yield prediction","volume":"52","author":"Greene","year":"2007","journal-title":"Int. J. Biometeorol."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1016\/j.agrformet.2011.10.003","article-title":"Climate change, wheat productivity and water use in the North China Plain: A new super-ensemble-based probabilistic projection","volume":"170","author":"Tao","year":"2013","journal-title":"Agric. For. Meteorol."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.agsy.2004.11.004","article-title":"Designing crop technology for a future climate: An example using response surface methodology and the CERES-Wheat model","volume":"87","author":"Dhungana","year":"2006","journal-title":"AGR Syst."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"49","DOI":"10.3354\/cr01085","article-title":"Winter wheat yields in the UK: Uncertainties in climate and management impacts","volume":"54","author":"Cho","year":"2012","journal-title":"Clim. Res."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Mearns, L.O. (2003). Improving the realism of modeling agronomic adaptation to climate change: Simulating technological substitution. Issues in the Impacts of Climate Variability and Change on Agriculture, Springer.","DOI":"10.1007\/978-94-017-1984-1"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1146\/annurev.environ.041008.093740","article-title":"Crop yield gaps: Their importance, magnitudes, and causes","volume":"34","author":"Lobell","year":"2009","journal-title":"Annu. Rev. Environ. Resour."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"812","DOI":"10.1126\/science.1185383","article-title":"Food security: The challenge of feeding 9 billion people","volume":"327","author":"Godfray","year":"2010","journal-title":"Science"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"531","DOI":"10.1175\/JAMC-D-12-0100.1","article-title":"Climate change, high-temperature stress, rice productivity, and water use in Eastern China: A new superensemble-based probabilistic projection","volume":"52","author":"Tao","year":"2013","journal-title":"J. Appl. Meteorol. Clim."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1016\/S0959-3780(02)00008-0","article-title":"Increased crop damage in the US from excess precipitation under climate change","volume":"12","author":"Rosenzweig","year":"2002","journal-title":"Glob. Environ. Chang."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2019","DOI":"10.1007\/s00477-016-1215-9","article-title":"Contribution of climatic and technological factors to crop yield: Empirical evidence from late paddy rice in Hunan Province, China","volume":"30","author":"Wang","year":"2016","journal-title":"Stoch. Environ. Res. Risk A"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1016\/S1161-0301(00)00073-3","article-title":"Effects of climate change and elevated CO2 on cropping systems: Model predictions at two Italian locations","volume":"13","author":"Tubiello","year":"2000","journal-title":"Eur. J. Agron."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/S1161-0301(02)00097-7","article-title":"Simulating the effects of elevated CO2 on crops: Approaches and applications for climate change","volume":"18","author":"Tubiello","year":"2002","journal-title":"Eur. J. Agron."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1007\/s00704-004-0035-x","article-title":"Projections of uncertainties in climate change scenarios into expected winter wheat yields","volume":"77","author":"Trnka","year":"2004","journal-title":"Theor. Appl. Climatol."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/S0168-1923(97)00069-5","article-title":"Testing winter wheat simulation models\u2019 predictions against observe UK grain yields","volume":"89","author":"Landau","year":"1998","journal-title":"Agric. For. Meteorol."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"548","DOI":"10.1016\/j.rse.2004.05.017","article-title":"Crop condition and yield simulations using Landsat and MODIS","volume":"92","author":"Doraiswamy","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1062","DOI":"10.1016\/j.agwat.2011.01.013","article-title":"Distributed agro-hydrological modeling with SWAP to improve water and salt management of the Voshmgir Irrigation and Drainage Network in Northern Iran","volume":"98","author":"Noory","year":"2011","journal-title":"Agric. Water Manag."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Li, H., Chen, Z., Liu, G., Jiang, Z., and Huang, C. (2017). Improving Winter Wheat Yield Estimation from the CERES-Wheat Model to Assimilate Leaf Area Index with Different Assimilation Methods and Spatio-Temporal Scales. Remote Sens., 9.","DOI":"10.3390\/rs9030190"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Setiyono, T.D., Quicho, E.D., Gatti, L., Campos-Taberner, M., Busetto, L., Collivignarelli, F., Garc\u00eda-Haro, F.J., Boschetti, M., Khan, N.I., and Holecz, F. (2018). Spatial Rice Yield Estimation Based on MODIS and Sentinel-1 SAR Data and ORYZA Crop Growth Model. Remote Sens., 10.","DOI":"10.3390\/rs10020293"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Zhou, G., Liu, X., and Liu, M. (2019). Assimilating Remote Sensing Phenological Information into the WOFOST Model for Rice Growth Simulation. Remote Sens., 11.","DOI":"10.3390\/rs11030268"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1016\/j.eja.2017.11.002","article-title":"A review of data assimilation of remote sensing and crop models","volume":"92","author":"Jin","year":"2018","journal-title":"Eur. J. Agron."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/j.eja.2018.09.006","article-title":"Improving regional winter wheat yield estimation through assimilation of phenology and leaf area index from remote sensing data","volume":"101","author":"Chen","year":"2018","journal-title":"Eur. J. Agron."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Leff, B., Ramankutty, N., and Foley, J.A. (2004). Geographic distribution of major crops across the world. Glob. Biogeochem. Cycles, 18.","DOI":"10.1029\/2003GB002108"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1007\/s11442-010-0483-4","article-title":"Spatial patterns and driving forces of land use change in China during the early 21st century","volume":"20","author":"Liu","year":"2010","journal-title":"J. Geogr. Sci."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1007\/s11442-014-1082-6","article-title":"Spatiotemporal characteristics, patterns, and causes of land-use changes in China since the late 1980s","volume":"24","author":"Liu","year":"2014","journal-title":"J. Geogr. Sci."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1266","DOI":"10.1016\/j.agrformet.2009.02.015","article-title":"Modelling the impacts of weather and climate variability on crop productivity over a large area: A new super-ensemble-based probabilistic projection","volume":"149","author":"Tao","year":"2009","journal-title":"Agric. For. Meteorol."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/S0168-1923(02)00228-9","article-title":"Improving predictions of developmental stages in winter wheat: A modified Wang and Engel model","volume":"115","author":"Streck","year":"2003","journal-title":"Agric. Meteorol."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"831","DOI":"10.1016\/j.agrformet.2008.11.004","article-title":"Modelling the impacts of weather and climate variability on crop productivity over a large area: A new process-based model development, optimization, and uncertainties analysis","volume":"149","author":"Tao","year":"2009","journal-title":"Agric. For. Meteorol."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"643","DOI":"10.1007\/s00484-014-0877-6","article-title":"Dynamic variability of the heading\u2013flowering stages of single rice in China based on field observations and NDVI estimations","volume":"59","author":"Zhang","year":"2015","journal-title":"Int. J. Biometeorol."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"4814","DOI":"10.1002\/joc.5125","article-title":"Future extreme temperature and its impact on rice yield in China","volume":"37","author":"Zhang","year":"2017","journal-title":"Int. J. Climatol."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"424","DOI":"10.1002\/joc.4360","article-title":"How ENSO affects maize yields in China: Understanding the impact mechanisms using a process-based crop model","volume":"36","author":"Shuai","year":"2016","journal-title":"Int. J. Climatol."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"2397","DOI":"10.1007\/s10113-017-1168-7","article-title":"Rice yield development and the shrinking yield gaps in China, 1981\u20132008","volume":"17","author":"Chen","year":"2017","journal-title":"Reg. Environ. Chang."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/j.fcr.2017.02.012","article-title":"Spatio-temporal patterns of winter wheat yield potential and yield gap during the past three decades in North China","volume":"206","author":"Chen","year":"2017","journal-title":"Field Crop. Res."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"543","DOI":"10.5194\/esd-9-543-2018","article-title":"Impacts of climate change and climate extremes on major crops productivity in China at a global warming of 1.5 and 2.0 \u00b0C","volume":"9","author":"Chen","year":"2018","journal-title":"Earth Syst. Dyn."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"689","DOI":"10.1007\/s00704-014-1140-0","article-title":"Validation of China-wide interpolated daily climate variables from 1960 to 2011","volume":"119","author":"Yuan","year":"2015","journal-title":"Theor. Appl. Climatol."},{"key":"ref_44","unstructured":"Food and Agriculture Organization of the United Nations (FAO) (1991). The Digitized Soil Map of the World (Release 1.0) World Soil Resources Report 67, FAO."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1395","DOI":"10.1016\/j.rse.2007.05.023","article-title":"Assimilation of leaf area index derived from ASAR and MERIS data into CERES-Wheat model to map wheat yield","volume":"112","author":"Dente","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"1843","DOI":"10.1016\/j.agrformet.2011.08.002","article-title":"Potential performances of remotely sensed LAI assimilation in WOFOST model based on an OSS Experiment","volume":"151","author":"Curnel","year":"2011","journal-title":"Agric. For. Meteorol."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"681","DOI":"10.1051\/agro:2002035","article-title":"Calibration of a coupled canopy functioning and SVAT model in the ReSeDA experiment. Towards the assimilation of SPOT\/HRV observations into the model","volume":"22","author":"Moulin","year":"2002","journal-title":"Agronomie"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"408","DOI":"10.1029\/2012WR012379","article-title":"An unmixing algorithm for remotely sensed soil moisture","volume":"49","author":"Ines","year":"2013","journal-title":"Water Resour. Res."},{"key":"ref_49","unstructured":"Xu, L., Yang, M., and Steward, B.L. (2011, January 7\u201310). System of field operations for double-cropped paddy rice production mechanization in South China. Proceedings of the Agricultural Biosystems Engineering Conference, Louisville, KY, USA. Available online: http:\/\/lib.dr.iastate.edu\/abe_eng_conf\/32."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1080\/17538947.2013.805262","article-title":"A long-term Global LAnd Surface Satellite (GLASS) data-set for environmental studies","volume":"6","author":"Liang","year":"2013","journal-title":"Int. J. Digit. Earth"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"6405","DOI":"10.1080\/01431161.2018.1460504","article-title":"Comparing different smoothing methods to detect double-cropping rice phenology based on LAI products\u2014A case study in the Hunan province of China","volume":"39","author":"Wang","year":"2018","journal-title":"Int. J. Remote Sens."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/0924-2716(92)90030-D","article-title":"Remote sensing and crop production models: Present trends","volume":"47","author":"Maas","year":"1992","journal-title":"ISPRS J. Phototgramm."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1023\/A:1009627710476","article-title":"In-situ growth of calcite at Devils Hole, Nevada: Comparison of field and laboratory rates to a 500,000 year record of near-equilibrium calcite growth","volume":"6","author":"Plummer","year":"2000","journal-title":"Aquat. Geochem."},{"key":"ref_54","first-page":"165","article-title":"A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling","volume":"9","author":"Dorigo","year":"2007","journal-title":"Int. J. Appl. Earth Obs."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"743","DOI":"10.1007\/s10113-012-0357-7","article-title":"Changes in rice disasters across China in recent decades and the meteorological and agronomic causes","volume":"13","author":"Tao","year":"2013","journal-title":"Reg. Environ. Chang."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1007\/s11721-007-0002-0","article-title":"Particle swarm optimization","volume":"1","author":"Poli","year":"2007","journal-title":"Swarm Intell."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"228","DOI":"10.1016\/j.agrformet.2005.07.013","article-title":"Evaluation of three model estimations of solar radiation at 24 UK stations","volume":"132","author":"Rivington","year":"2005","journal-title":"Agric. For. Meteorol."},{"key":"ref_58","first-page":"577","article-title":"Validation of biophysical models: Issues and methodologies","volume":"Volume 2","author":"Lichtfouse","year":"2011","journal-title":"Sustainable Agriculture"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/j.envsoft.2014.11.024","article-title":"Accuracy, robustness and behavior of the STICS soil\u2013crop model for plant, water and nitrogen outputs: Evaluation over a wide range of agro-environmental conditions in France","volume":"64","author":"Coucheney","year":"2015","journal-title":"Environ. Modell. Softw."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"757","DOI":"10.2134\/agronj2001.934757x","article-title":"Parameter estimation for crop models","volume":"93","author":"Wallach","year":"2001","journal-title":"Agron. J."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.agrformet.2012.11.017","article-title":"Implication of crop model calibration strategies for assessing regional impacts of climate change in Europe","volume":"170","author":"Angulo","year":"2013","journal-title":"Agric. For. Meteorol."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/j.eja.2011.05.003","article-title":"Methodological comparison of calibration procedures for durum wheat parameters in the STICS model","volume":"35","author":"Guillaume","year":"2011","journal-title":"Eur. J. Agron."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.agsy.2006.03.001","article-title":"Exploring options for water savings in lowland rice using a modelling approach","volume":"92","author":"Belder","year":"2007","journal-title":"Agric. Syst."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/j.agsy.2006.05.003","article-title":"Modelling the effect of groundwater depth on yield-increasing interventions in rainfed lowland rice in Central Java, Indonesia","volume":"92","author":"Boling","year":"2007","journal-title":"Agric. Syst."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"1412","DOI":"10.1016\/j.agrformet.2008.04.007","article-title":"Non-stationary thermal time accumulation reduces the predictability of climate change effects on agriculture","volume":"148","author":"Zhang","year":"2008","journal-title":"Agric. For. Meteorol."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"1183","DOI":"10.1007\/s11430-009-0094-z","article-title":"A scheme for regional rice yield estimation using ENVISAT ASAR data","volume":"52","author":"Shen","year":"2009","journal-title":"Sci. China Ser. D"},{"key":"ref_67","first-page":"173","article-title":"Rice yield estimation by assimilation remote sensing into crop growth model","volume":"2010","author":"Chen","year":"2010","journal-title":"Sci. China Inf. Sci."},{"key":"ref_68","unstructured":"Wang, J. (2016). Rice Information Extraction Studies Based on Multi-Source Remote Sensing Data Integrating and Data Assimilating. [Ph.D. Thesis, Zhejiang University]. (In Chinese)."},{"key":"ref_69","first-page":"704","article-title":"On regional distribution of rice cultivation in Hunan Province","volume":"28","author":"Qing","year":"2007","journal-title":"Res. Agric. Mod."},{"key":"ref_70","doi-asserted-by":"crossref","unstructured":"Deryng, D., Sacks, W.J., Barford, C.C., and Ramankutty, N. (2011). Simulating the effects of climate and agricultural management practices on global crop yield. Glob. Biogeochem. Cycles, 25.","DOI":"10.1029\/2009GB003765"},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"2301","DOI":"10.1111\/gcb.12520","article-title":"How do various maize crop models vary in their responses to climate change factors?","volume":"20","author":"Bassu","year":"2014","journal-title":"Glob. Change Biol."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.ecolmodel.2014.07.013","article-title":"Assimilating remote sensing information into a coupled hydrology-crop growth model to estimate regional maize yield in arid regions","volume":"291","author":"Li","year":"2014","journal-title":"Ecol. Model."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/13\/1577\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T13:02:11Z","timestamp":1760187731000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/13\/1577"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7,3]]},"references-count":72,"journal-issue":{"issue":"13","published-online":{"date-parts":[[2019,7]]}},"alternative-id":["rs11131577"],"URL":"https:\/\/doi.org\/10.3390\/rs11131577","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2019,7,3]]}}}