Temporal Evolution of Corn Mass Production Based on Agro-Meteorological Modelling Controlled by Satellite Optical and SAR Images
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Rémy Fieuzal | Frédéric Baup | Frédéric Frappart | Samuel Corgne | Maël Ameline | Jean-François Berthoumieu | R. Fieuzal | F. Frappart | F. Baup | S. Corgne | M. Ameline | J. Berthoumieu
[1] J. Porter,et al. Temperatures and the growth and development of maize and rice: a review , 2014, Global change biology.
[2] Stefano Pignatti,et al. Wheat lodging monitoring using polarimetric index from RADARSAT-2 data , 2015, Int. J. Appl. Earth Obs. Geoinformation.
[3] R. Çakır. Effect of water stress at different development stages on vegetative and reproductive growth of corn , 2004 .
[4] Hongliang Fang,et al. Corn‐yield estimation through assimilation of remotely sensed data into the CSM‐CERES‐Maize model , 2008 .
[5] Simonetta Paloscia,et al. The relationship between the backscattering coefficient and the biomass of narrow and broad leaf crops , 2001, IEEE Trans. Geosci. Remote. Sens..
[6] Martha C. Anderson,et al. Landsat-8: Science and Product Vision for Terrestrial Global Change Research , 2014 .
[7] P. Gilruth,et al. The potential of remote sensing data for decision makers at the state, local and tribal level: experiences from NASA’s Synergy program , 2003 .
[8] Ahmad Al Bitar,et al. Modeling water needs and total irrigation depths of maize crop in the south west of France using high spatial and temporal resolution satellite imagery , 2017 .
[9] B. Duchemin,et al. Combined use of optical and radar satellite data for the monitoring of irrigation and soil moisture of wheat crops , 2011 .
[10] Claire Marais-Sicre,et al. Monitoring Wheat and Rapeseed by Using Synchronous Optical and Radar Satellite Data—From Temporal Signatures to Crop Parameters Estimation , 2013 .
[11] Nicolas Baghdadi,et al. Potential of SAR sensors TerraSAR-X, ASAR/ENVISAT and PALSAR/ALOS for monitoring sugarcane crops on Reunion Island , 2009 .
[12] Ahmad Al Bitar,et al. Estimating maize biomass and yield over large areas using high spatial and temporal resolution Sentinel-2 like remote sensing data , 2016 .
[13] S. Maas. Parameterized Model of Gramineous Crop Growth: I. Leaf Area and Dry Mass Simulation , 1993 .
[14] R. Fieuzal,et al. Determination of the crop row orientations from Formosat-2 multi-temporal and panchromatic images , 2014 .
[15] Claire Marais-Sicre,et al. Estimation of corn yield using multi-temporal optical and radar satellite data and artificial neural networks , 2017, Int. J. Appl. Earth Obs. Geoinformation.
[16] Rémy Fieuzal,et al. Estimation of Corn Yield by Assimilating SAR and Optical Time Series Into a Simplified Agro-Meteorological Model: From Diagnostic to Forecast , 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[17] O. Hagolle,et al. LAI, fAPAR and fCover CYCLOPES global products derived from VEGETATION: Part 1: Principles of the algorithm , 2007 .
[18] Michael Dixon,et al. Google Earth Engine: Planetary-scale geospatial analysis for everyone , 2017 .
[19] Rémy Fieuzal,et al. Assimilation of LAI and Dry Biomass Data From Optical and SAR Images Into an Agro-Meteorological Model to Estimate Soybean Yield , 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[20] Remy Fieuzal,et al. Estimation of Sunflower Yield Using a Simplified Agrometeorological Model Controlled by Optical and SAR Satellite Data , 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[21] Wim G.M. Bastiaanssen,et al. Remote sensing for irrigated agriculture: examples from research and possible applications , 2000 .
[22] Roger H. Lang,et al. Effects of corn on C- and L-band radar backscatter: A correction method for soil moisture retrieval , 2010 .
[23] E. Hansen,et al. Nitrate leaching as influenced by soil tillage and catch crop , 1997 .
[24] Rémy Fieuzal,et al. Sensitivity of X-Band (σ 0 , γ) and Optical (NDVI) Satellite Data to Corn Biophysical Parameters , 2016 .
[25] J. Monteith. Climate and the efficiency of crop production in Britain , 1977 .
[26] D. Raes,et al. AquaCrop—The FAO Crop Model to Simulate Yield Response to Water: III. Parameterization and Testing for Maize , 2009 .
[27] Matthias Drusch,et al. Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services , 2012 .
[28] R. H. Shaw,et al. The Effects of Soil Moisture Stress at Different Stages of Growth on the Development and Yield of Corn1 , 1960 .
[29] John R. Miller,et al. Estimating crop stresses, aboveground dry biomass and yield of corn using multi-temporal optical data combined with a radiation use efficiency model , 2010 .
[30] L. Dente,et al. Assimilation of leaf area index derived from ASAR and MERIS data into CERES - wheat model to map wheat yield , 2008 .
[31] P. Béziat,et al. Carbon balance of a three crop succession over two cropland sites in South West France , 2009 .
[32] John R. Miller,et al. Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture , 2004 .
[33] Malcolm Davidson,et al. GMES Sentinel-1 mission , 2012 .
[34] Yisok Oh,et al. Quantitative retrieval of soil moisture content and surface roughness from multipolarized radar observations of bare soil surfaces , 2004, IEEE Transactions on Geoscience and Remote Sensing.
[35] Yifang Ban,et al. Orbital effects on ERS-1 SAR temporal backscatter profiles of agricultural crops , 1997 .
[36] Zheng Niu,et al. Estimating the Leaf Area Index, height and biomass of maize using HJ-1 and RADARSAT-2 , 2013, Int. J. Appl. Earth Obs. Geoinformation.
[37] Laurent Ferro-Famil,et al. Contribution of multitemporal polarimetric synthetic aperture radar data for monitoring winter wheat and rapeseed crops , 2016 .
[38] Rémy Fieuzal,et al. Impact of Sowing Date on Yield and Water Use Efficiency of Wheat Analyzed through Spatial Modeling and FORMOSAT-2 Images , 2015, Remote. Sens..
[39] M. S. Moran,et al. Remote Sensing for Crop Management , 2003 .
[40] A. Bondeau,et al. Combining agricultural crop models and satellite observations: from field to regional scales , 1998 .
[41] Soizik Laguette,et al. Remote sensing applications for precision agriculture: A learning community approach , 2003 .
[42] Alexandre Bouvet,et al. Understanding the temporal behavior of crops using Sentinel-1 and Sentinel-2-like data for agricultural applications , 2017 .
[43] C. Ottlé,et al. Surface soil moisture estimation from the synergistic use of the (multi-incidence and multi-resolution) active microwave ERS Wind Scatterometer and SAR data , 2003 .
[44] Benoît Duchemin,et al. A simple algorithm for yield estimates: Evaluation for semi-arid irrigated winter wheat monitored with green leaf area index , 2008, Environ. Model. Softw..
[45] David B. Lobell,et al. Remote sensing of regional crop production in the Yaqui Valley, Mexico: estimates and uncertainties , 2003 .
[46] Heather McNairn,et al. Integration of optical and Synthetic Aperture Radar (SAR) imagery for delivering operational annual crop inventories , 2009 .
[47] Ken Flower,et al. Soil water balance with cover crops and conservation agriculture in a Mediterranean climate , 2012 .
[48] Anna Balenzano,et al. Assimilation of COSMO-SkyMed-derived LAI maps into the AQUATER crop growth simulation model. Capitanata (Southern Italy) case study , 2013 .
[49] Arnaud Carrara,et al. Management effects on net ecosystem carbon and GHG budgets at European crop sites , 2010 .
[50] Jong-Sen Lee,et al. Refined filtering of image noise using local statistics , 1981 .
[51] M. Claverie,et al. Maize and sunflower biomass estimation in southwest France using high spatial and temporal resolution remote sensing data , 2012 .