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Original Articles

Functional approaches for predicting land use with the temporal evolution of coarse resolution remote sensing data

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Pages 1185-1199 | Published online: 02 Aug 2010

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Read on this site (5)

Anthony Zullo, Mathieu Fauvel & Frédéric Ferraty. (2018) Experimental comparison of functional and multivariate spectral-based supervised classification methods in hyperspectral image. Journal of Applied Statistics 45:12, pages 2219-2237.
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Iskander Benhadj, Benoit Duchemin, Philippe Maisongrande, Vincent Simonneaux, Saïd Khabba & Abdelghani Chehbouni. (2012) Automatic unmixing of MODIS multi-temporal data for inter-annual monitoring of land use at a regional scale (Tensift, Morocco). International Journal of Remote Sensing 33:5, pages 1325-1348.
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Benoît Duchemin, Rachid Hadria, Iskander Benhadj, Bernard Mougenot, Olivier Hagolle, Abdelghani Chehbouni, Dominique Courault, Albert Olioso & Said Khabba. (2010) Observation spatiale à haute resolution spatiale et temporelle : applications pour le suivi de la ressource hydrique en milieu agricole semi-aride. La Houille Blanche 96:3, pages 45-52.
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Hervé Cardot, Philippe Maisongrande & Robert Faivre. (2008) Varying-time random effects models for longitudinal data: unmixing and temporal interpolation of remote-sensing data. Journal of Applied Statistics 35:8, pages 827-846.
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Nathalie Villa, Martin Paegelow, MariaT. Camacho Olmedo, Laurence Cornez, Frédéric Ferraty, Louis Ferré & Pascal Sarda. (2007) Various Approaches for Predicting Land Cover in Mountain Areas. Communications in Statistics - Simulation and Computation 36:1, pages 73-86.
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Sugianto Sugianto, Teti Arabia, Muhammad Rusdi, Syakur Syakur & Meura Trishiani. (2022) Spatial distribution vegetation density, land surface temperature, and land surface moisture of Banda Aceh, Indonesia after 17 years of tsunami: a multitemporal analysis approaches. Environmental Monitoring and Assessment 195:1.
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Souptik Barua, Ashutosh Sabharwal, Namino Glantz, Casey Conneely, Arianna Larez, Wendy Bevier & David Kerr. (2022) The northeast glucose drift: Stratification of post-breakfast dysglycemia among predominantly Hispanic/Latino adults at-risk or with type 2 diabetes. eClinicalMedicine 43, pages 101241.
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G. P. Obi Reddy & K. C. Arun Kumar. 2022. Data Science in Agriculture and Natural Resource Management. Data Science in Agriculture and Natural Resource Management 195 220 .
Souptik Barua, Hesham Elhalawani, Stefania Volpe, Karine A. Al Feghali, Pei Yang, Sweet Ping Ng, Baher Elgohari, Robin C. Granberry, Dennis S. Mackin, G. Brandon Gunn, Katherine A. Hutcheson, Mark S. Chambers, Laurence E. Court, Abdallah S. R. Mohamed, Clifton D. Fuller, Stephen Y. Lai & Arvind Rao. (2021) Computed Tomography Radiomics Kinetics as Early Imaging Correlates of Osteoradionecrosis in Oropharyngeal Cancer Patients. Frontiers in Artificial Intelligence 4.
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Thierry Chekouo, Shariq Mohammed & Arvind Rao. (2020) A Bayesian 2D functional linear model for gray-level co-occurrence matrices in texture analysis of lower grade gliomas. NeuroImage: Clinical 28, pages 102437.
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S Sugianto, M Rusdi & Syakur. (2019) Functional Data Analysis: An Initiative Approach for Hyperspectral Data. Journal of Physics: Conference Series 1363:1, pages 012087.
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M.S. Ahmed, M.K. Attouch & S. Dabo-Niang. (2018) Binary functional linear models under choice-based sampling. Econometrics and Statistics 7, pages 134-152.
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Nihan Acar-Denizli, Pedro Delicado, Gülay Başarır & Isabel Caballero. (2018) Functional regression on remote sensing data in oceanography. Environmental and Ecological Statistics 25:2, pages 277-304.
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Yunlong Nie, Liangliang Wang, Baisen Liu & Jiguo Cao. (2017) Supervised functional principal component analysis. Statistics and Computing 28:3, pages 713-723.
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Souptik Barua, Luisa Solis, Edwin Roger Parra, Naohiro Uraoka, Mei Jiang, Huamin Wang, Jaime Rodriguez-Canales, Ignacio Wistuba, Anirban Maitra, Subrata Sen & Arvind Rao. (2018) A Functional Spatial Analysis Platform for Discovery of Immunological Interactions Predictive of Low-Grade to High-Grade Transition of Pancreatic Intraductal Papillary Mucinous Neoplasms. Cancer Informatics 17, pages 117693511878288.
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Nihan Acar-Denizli, Pedro Delicado, Gülay Başarır & Isabel Caballero. 2017. Functional Statistics and Related Fields. Functional Statistics and Related Fields 15 21 .
Pierre Masselot, Sophie Dabo-Niang, Fateh Chebana & Taha B.M.J. Ouarda. (2016) Streamflow forecasting using functional regression. Journal of Hydrology 538, pages 754-766.
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Manuel Escabias, Ana M. Aguilera & M. Carmen Aguilera-Morillo. (2014) Functional PCA and Base-Line Logit Models. Journal of Classification 31:3, pages 296-324.
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Han Lin Shang. (2013) A survey of functional principal component analysis. AStA Advances in Statistical Analysis 98:2, pages 121-142.
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Ramón Moreno, Francesco Corona, Amaury Lendasse, Manuel Graña & Lênio S. Galvão. (2014) Extreme learning machines for soybean classification in remote sensing hyperspectral images. Neurocomputing 128, pages 207-216.
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Graciela Estévez-Pérez & José A. Vilar. (2013) Functional ANOVA starting from discrete data: an application to air quality data. Environmental and Ecological Statistics 20:3, pages 495-517.
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A Robin, L Moisan & S Le Hegarat-Mascle. (2010) An A-Contrario Approach for Subpixel Change Detection in Satellite Imagery. IEEE Transactions on Pattern Analysis and Machine Intelligence 32:11, pages 1977-1993.
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Qian Yu, Yong Q. Tian, Robert F. Chen, Anna Liu, G. Bernard Gardner & Weining Zhu. (2010) Functional Linear Analysis of in situ Hyperspectral Data for Assessing CDOM in Rivers. Photogrammetric Engineering & Remote Sensing 76:10, pages 1147-1158.
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Hervé Cardot, Mohamed Chaouch, Camelia Goga & Catherine Labruère. (2010) Properties of design-based functional principal components analysis. Journal of Statistical Planning and Inference 140:1, pages 75-91.
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S.K. Das & R. Singh. (2009) Performance of Kriging-Based Soft Classification on WiFS/IRS-1D Image Using Ground Hyperspectral Signatures. IEEE Geoscience and Remote Sensing Letters 6:3, pages 453-457.
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Philippe Besse & Hervé Cardot. 2009. Data Analysis. Data Analysis 149 180 .
A. Camps, M. Vall-llossera, M. Piles, F. Torres, I. Corbella & N. Duffo. (2008) Improving the Spatial Resolution of Synthetic Aperture Radiometer Imagery using Auxiliary Information: Application to the Smos Mission. Improving the Spatial Resolution of Synthetic Aperture Radiometer Imagery using Auxiliary Information: Application to the Smos Mission.
A. Robin, S. Le Hegarat-Mascle & L. Moisan. (2008) Unsupervised Subpixelic Classification Using Coarse-Resolution Time Series and Structural Information. IEEE Transactions on Geoscience and Remote Sensing 46:5, pages 1359-1374.
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S. Garrigues, D. Allard & F. Baret. (2008) Modeling temporal changes in surface spatial heterogeneity over an agricultural site. Remote Sensing of Environment 112:2, pages 588-602.
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Sophie Dabo-Niang & Frédéric FerratyAna Aguilera & Manuel Escabias. 2008. Functional and Operatorial Statistics. Functional and Operatorial Statistics 7 13 .
Frédéric Jacob, Thomas Schmugge, Albert Olioso, Andrew French, Dominique Courault, Kenta Ogawa, Francois Petitcolin, Ghani Chehbouni, Ana Pinheiro & Jeffrey Privette. 2008. Advances in Land Remote Sensing. Advances in Land Remote Sensing 245 291 .
I. Benhadj, B. Duchemin, V. Simonneaux, P. Maisongrande, S. Khabba & AG. Chehbouni. (2007) Combined use of NDVI Time Courses at Low and High Spatial Resolution to Estimate Land Cover and Crop Evapotranspiration in Semi-arid Areas. Combined use of NDVI Time Courses at Low and High Spatial Resolution to Estimate Land Cover and Crop Evapotranspiration in Semi-arid Areas.
Frédéric Ferraty, Martin Paegelow & Pascal Sarda. 2007. Statistical Methods for Biostatistics and Related Fields. Statistical Methods for Biostatistics and Related Fields 347 356 .
Hervé Cardot & Pascal Sarda. 2006. The Art of Semiparametrics. The Art of Semiparametrics 49 66 .
S. Le Hégarat-Mascle, C. Ottlé & C. Guérin. (2005) Land cover change detection at coarse spatial scales based on iterative estimation and previous state information. Remote Sensing of Environment 95:4, pages 464-479.
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Philippe C. Besse, Herv� Cardot, Robert Faivre & Michel Goulard. (2005) Statistical modelling of functional data. Applied Stochastic Models in Business and Industry 21:2, pages 165-173.
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G. Mercier, L. Hubert-Moy, T. Houet & P. Gouery. (2005) Estimation and monitoring of bare soil/vegetation ratio with SPOT VEGETATION and HRVIR. IEEE Transactions on Geoscience and Remote Sensing 43:2, pages 348-354.
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Hervé Cardot & Pacal Sarda. (2005) Estimation in generalized linear models for functional data via penalized likelihood. Journal of Multivariate Analysis 92:1, pages 24-41.
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. 2005. Functional Data Analysis. Functional Data Analysis 261 277 .
Germán Aneiros-Pérez, Hervé Cardot, Graciela Estévez-Pérez & Philippe Vieu. (2004) Maximum ozone concentration forecasting by functional non-parametric approaches. Environmetrics 15:7, pages 675-685.
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