{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T00:21:25Z","timestamp":1740097285954,"version":"3.37.3"},"publisher-location":"Cham","reference-count":35,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319444116"},{"type":"electronic","value":"9783319444123"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-44412-3_6","type":"book-chapter","created":{"date-parts":[[2016,8,3]],"date-time":"2016-08-03T10:50:25Z","timestamp":1470221425000},"page":"78-94","source":"Crossref","is-referenced-by-count":0,"title":["Learning Structures in Earth Observation Data with Gaussian Processes"],"prefix":"10.1007","author":[{"given":"Fernando","family":"Mateo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jordi","family":"Mu\u00f1oz-Mar\u00ed","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Valero","family":"Laparra","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jochem","family":"Verrelst","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gustau","family":"Camps-Valls","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,8,4]]},"reference":[{"issue":"11","key":"6_CR1","doi-asserted-by":"crossref","first-page":"2693","DOI":"10.1109\/TPAMI.2013.86","volume":"35","author":"MA \u00c1lvarez","year":"2013","unstructured":"\u00c1lvarez, M.A., Luengo, D., Lawrence, N.D.: Linear latent force models using Gaussian processes. IEEE Trans. Pattern Anal. Mach. Intell. 35(11), 2693\u20132705 (2013). http:\/\/dx.doi.org\/10.1109\/TPAMI.2013.86","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"6_CR2","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1016\/j.rse.2012.12.027","volume":"137","author":"F Baret","year":"2013","unstructured":"Baret, F., Weiss, M., Lacaze, R., Camacho, F., Makhmara, H., Pacholcyzk, P., Smets, B.: Geov1: LAI and FAPAR essential climate variables and FCOVER global time series capitalizing over existing products. Part1: principles of development and production. Rem. Sens. Environ. 137, 299\u2013309 (2013)","journal-title":"Rem. Sens. Environ."},{"issue":"834","key":"6_CR3","doi-asserted-by":"crossref","first-page":"834","DOI":"10.1126\/science.1184984","volume":"329","author":"C Beer","year":"2010","unstructured":"Beer, C., Reichstein, M., Tomelleri, E., Ciais, P., Jung, M., Carvalhais, N., R\u00f6denbeck, C., Arain, M.A., Baldocchi, D., Bonan, G.B., Bondeau, A., Cescatti, A., Lasslop, G., Lindroth, A., Lomas, M., Luyssaert, S., Margolis, H., Oleson, K.W., Roupsard, O., Veenendaal, E., Viovy, N., Williams, C., Woodward, F.I., Papale, D.: Terrestrial gross carbon dioxide uptake: global distribution and covariation with climate. Science 329(834), 834\u2013838 (2010)","journal-title":"Science"},{"issue":"1","key":"6_CR4","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1109\/LGRS.2005.857031","volume":"3","author":"G Camps-Valls","year":"2006","unstructured":"Camps-Valls, G., G\u00f3mez-Chova, L., Mu\u00f1oz-Mar\u00ed, J., Vila-Franc\u00e9s, J., Calpe-Maravilla, J.: Composite kernels for hyperspectral image classification. IEEE Geosci. Remote Sens. Lett. 3(1), 93\u201397 (2006)","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"issue":"1","key":"6_CR5","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.rse.2006.06.004","volume":"105","author":"G Camps-Valls","year":"2006","unstructured":"Camps-Valls, G., G\u00f3mez-Chova, L., Vila-Franc\u00e9s, J., Amor\u00f3s-L\u00f3pez, J., Mu\u00f1oz-Mar\u00ed, J., Calpe-Maravilla, J.: Retrieval of oceanic chlorophyll concentration with relevance vector machines. Rem. Sens. Environ. 105(1), 23\u201333 (2006)","journal-title":"Rem. Sens. Environ."},{"issue":"4","key":"6_CR6","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1109\/LSP.2006.885290","volume":"14","author":"G Camps-Valls","year":"2007","unstructured":"Camps-Valls, G., Mart\u00ednez-Ram\u00f3n, M., Rojo-\u00c1lvarez, J.L., Mu\u00f1oz-Mar\u00ed, J.: Non-linear system identification with composite relevance vector machines. IEEE Signal Process. Lett. 14(4), 279\u2013282 (2007)","journal-title":"IEEE Signal Process. Lett."},{"volume-title":"Remote Sensing Image Processing","year":"2011","key":"6_CR7","unstructured":"Camps-Valls, G., Tuia, D., G\u00f3mez-Chova, L., Malo, J. (eds.): Remote Sensing Image Processing. Morgan & Claypool, San Rafael (2011)"},{"key":"6_CR8","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/j.rse.2011.07.024","volume":"120","author":"C Donlon","year":"2012","unstructured":"Donlon, C., Berruti, B., Buongiorno, A., Ferreira, M.H., F\u00e9m\u00e9nias, P., Frerick, J., Goryl, P., Klein, U., Laur, H., Mavrocordatos, C., Nieke, J., Rebhan, H., Seitz, B., Stroede, J., Sciarra, R.: The global monitoring for environment and security (GMES) Sentinel-3 mission. Rem. Sens. Environ. 120, 37\u201357 (2012)","journal-title":"Rem. Sens. Environ."},{"issue":"2","key":"6_CR9","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/j.jag.2006.05.003","volume":"9","author":"WA Dorigo","year":"2007","unstructured":"Dorigo, W.A., Zurita-Milla, R., Wit, A.J.W., Brazile, J., Singh, R., Schaepman, M.E.: A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling. Int. J. Appl. Earth Obs. Geoinf. 9(2), 165\u2013193 (2007)","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"6_CR10","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.rse.2011.11.026","volume":"120","author":"M Drusch","year":"2012","unstructured":"Drusch, M., Bello, U., Carlier, S., Colin, O., Fernandez, V., Gascon, F., Hoersch, B., Isola, C., Laberinti, P., Martimort, P., Meygret, A., Spoto, F., Sy, O., Marchese, F., Bargellini, P.: Sentinel-2: ESA\u2019s Optical high-resolution mission for GMES operational services. Rem. Sens. Environ. 120, 25\u201336 (2012)","journal-title":"Rem. Sens. Environ."},{"issue":"1\u20132","key":"6_CR11","doi-asserted-by":"crossref","first-page":"348","DOI":"10.1016\/j.rse.2006.09.031","volume":"107","author":"S Durbha","year":"2007","unstructured":"Durbha, S., King, R., Younan, N.: Support vector machines regression for retrieval of leaf area index from multiangle imaging spectroradiometer. Rem. Sens. Environ. 107(1\u20132), 348\u2013361 (2007)","journal-title":"Rem. Sens. Environ."},{"key":"6_CR12","doi-asserted-by":"crossref","first-page":"E1327","DOI":"10.1073\/pnas.1320008111","volume":"111","author":"L Guanter","year":"2014","unstructured":"Guanter, L., Zhang, Y., Jung, M., Joiner, J., Voigt, M., Berry, J.A., Frankenberg, C., Huete, A., Zarco-Tejada, P., Lee, J.E., Moran, M.S., Ponce-Campos, G., Beer, C., Camps-Valls, G., Buchmann, N., Gianelle, D., Klumpp, K., Cescatti, A., Baker, J.M., Griffis, T.J.: Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence. Proc. Natl. Acad. Sci. PNAS 111, E1327\u2013E1333 (2014)","journal-title":"Proc. Natl. Acad. Sci. PNAS"},{"key":"6_CR13","doi-asserted-by":"crossref","DOI":"10.1007\/978-0-387-84858-7","volume-title":"The Elements of Statistical Learning: Data Mining, Inference, and Prediction","author":"T Hastie","year":"2009","unstructured":"Hastie, T., Tibshirani, R., Friedman, J.H.: The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd edn. Springer, New York (2009)","edition":"2"},{"issue":"4","key":"6_CR14","doi-asserted-by":"crossref","first-page":"1191","DOI":"10.1111\/gcb.12443","volume":"20","author":"J Jagermeyr","year":"2014","unstructured":"Jagermeyr, J., Gerten, D., Lucht, W., Hostert, P., Migliavacca, M., Nemani, R.: A high-resolution approach to estimating ecosystem respiration at continental scales using operational satellite data. Glob. Change Biol. 20(4), 1191\u20131210 (2014)","journal-title":"Glob. Change Biol."},{"issue":"G3","key":"6_CR15","first-page":"1","volume":"116","author":"M Jung","year":"2011","unstructured":"Jung, M., Reichstein, M., Margolis, H.A., Cescatti, A., Richardson, A.D., Arain, M.A., Arneth, A., Bernhofer, C., Bonal, D., Chen, J., Gianelle, D., Gobron, N., Kiely, G., Kutsch, W., Lasslop, G., Law, B.E., Lindroth, A., Merbold, L., Montagnani, L., Moors, E.J., Papale, D., Sottocornola, M., Vaccari, F., Williams, C.: Global patterns of land-atmosphere fluxes of carbon dioxide, latent heat, and sensible heat derived from eddy covariance, satellite, and meteorological observations. J. Geophys. Res. Biogeosciences 116(G3), 1\u201316 (2011)","journal-title":"J. Geophys. Res. Biogeosciences"},{"key":"6_CR16","unstructured":"L\u00e1zaro-Gredilla, M., Titsias, M.K.: Variational heteroscedastic Gaussian process regression. In: 28th International Conference on Machine Learning, ICML 2011, pp. 841\u2013848. ACM, Bellevue (2011)"},{"issue":"4","key":"6_CR17","doi-asserted-by":"crossref","first-page":"838","DOI":"10.1109\/LGRS.2013.2279695","volume":"11","author":"M L\u00e1zaro-Gredilla","year":"2014","unstructured":"L\u00e1zaro-Gredilla, M., Titsias, M.K., Verrelst, J., Camps-Valls, G.: Retrieval of biophysical parameters with heteroscedastic Gaussian processes. IEEE Geosci. Rem. Sens. Lett. 11(4), 838\u2013842 (2014)","journal-title":"IEEE Geosci. Rem. Sens. Lett."},{"key":"6_CR18","unstructured":"L\u00e1zaro-Gredilla, M.: Bayesian warped Gaussian processes. In: NIPS, pp. 1628\u20131636 (2012)"},{"key":"6_CR19","unstructured":"Maritorena, S., O\u2019Reilly, J.: OC2v2: Update on the Initial Operational SeaWiFS Chlorophyll Algorithm, vol. 11, pp. 3\u20138. Wiley (2000). NASA Goddard Space Flight Center, Greenbelt, Maryland, USA"},{"issue":"C11","key":"6_CR20","doi-asserted-by":"crossref","first-page":"24937","DOI":"10.1029\/98JC02160","volume":"103","author":"JE O\u2019Reilly","year":"1998","unstructured":"O\u2019Reilly, J.E., Maritorena, S., Mitchell, B.G., Siegel, D.A., Carder, K., Garver, S.A., Kahru, M., McClain, C.: Ocean color chlorophyll algorithms for SeaWiFS. J. Geophys. Res. 103(C11), 24937\u201324953 (1998)","journal-title":"J. Geophys. Res."},{"key":"6_CR21","volume-title":"Gaussian Processes for Machine Learning","author":"CE Rasmussen","year":"2006","unstructured":"Rasmussen, C.E., Williams, C.K.I.: Gaussian Processes for Machine Learning. The MIT Press, New York (2006)"},{"key":"6_CR22","doi-asserted-by":"crossref","first-page":"639","DOI":"10.1016\/j.rse.2013.09.030","volume":"140","author":"H Roelofsen","year":"2014","unstructured":"Roelofsen, H., Kooistra, L., Van Bodegom, P., Verrelst, J., Krol, J., Witte, J.C.: Mapping a priori defined plant associations using remotely sensed vegetation characteristics. Rem. Sens. Environ. 140, 639\u2013651 (2014)","journal-title":"Rem. Sens. Environ."},{"issue":"417","key":"6_CR23","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1080\/01621459.1992.10475181","volume":"87","author":"P Sampson","year":"1992","unstructured":"Sampson, P., Guttorp, P.: Nonparametric estimation of nonstationary spatial covariance structure. J. Am. Stat. Assoc. Publ. 87(417), 108\u2013119 (1992)","journal-title":"J. Am. Stat. Assoc. Publ."},{"issue":"4","key":"6_CR24","doi-asserted-by":"crossref","first-page":"968","DOI":"10.1016\/j.rse.2010.11.010","volume":"115","author":"LR Sarker","year":"2011","unstructured":"Sarker, L.R., Nichol, J.E.: Improved forest biomass estimates using ALOS AVNIR-2 texture indices. Rem. Sens. Environ. 115(4), 968\u2013977 (2011)","journal-title":"Rem. Sens. Environ."},{"issue":"1","key":"6_CR25","doi-asserted-by":"crossref","first-page":"S123","DOI":"10.1016\/j.rse.2009.03.001","volume":"113","author":"M Schaepman","year":"2009","unstructured":"Schaepman, M., Ustin, S., Plaza, A., Painter, T., Verrelst, J., Liang, S.: Earth system science related imaging spectroscopy - an assessment. Rem. Sens. Environ. 113(1), S123\u2013S137 (2009)","journal-title":"Rem. Sens. Environ."},{"key":"6_CR26","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1023\/B:STCO.0000035301.49549.88","volume":"14","author":"AJ Smola","year":"2004","unstructured":"Smola, A.J., Sch\u00f6lkopf, B.: A tutorial on support vector regression. Stat. Comput. 14, 199\u2013222 (2004)","journal-title":"Stat. Comput."},{"key":"6_CR27","unstructured":"Snelson, E., Rasmussen, C., Ghahramani, Z.: Warped Gaussian processes. In: Advances in Neural Information Processing Systems NIPS. MIT Press (2004)"},{"key":"6_CR28","volume-title":"Advances in Neural Information Processing Systems 12","author":"ME Tipping","year":"2000","unstructured":"Tipping, M.E.: The relevance vector machine. In: Solla, S.A., Leen, T.K., M\u00fcller, K.R. (eds.) Advances in Neural Information Processing Systems 12. MIT Press, Cambridge (2000)"},{"key":"6_CR29","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/j.jphotobiol.2014.03.010","volume":"134","author":"S Wittenberghe","year":"2014","unstructured":"Wittenberghe, S., Verrelst, J., Rivera, J., Alonso, L., Moreno, J., Samson, R.: Gaussian processes retrieval of leaf parameters from a multi-species reflectance, absorbance and fluorescence dataset. J. Photochem. Photobiol. B Biol. 134, 37\u201348 (2014)","journal-title":"J. Photochem. Photobiol. B Biol."},{"issue":"5 PART 2","key":"6_CR30","doi-asserted-by":"crossref","first-page":"1832","DOI":"10.1109\/TGRS.2011.2168962","volume":"50","author":"J Verrelst","year":"2012","unstructured":"Verrelst, J., Alonso, L., Camps-Valls, G., Delegido, J., Moreno, J.: Retrieval of vegetation biophysical parameters using Gaussian process techniques. IEEE Trans. Geosci. Rem. Sens. 50(5 PART 2), 1832\u20131843 (2012)","journal-title":"IEEE Trans. Geosci. Rem. Sens."},{"issue":"2","key":"6_CR31","doi-asserted-by":"crossref","first-page":"867","DOI":"10.1109\/JSTARS.2012.2222356","volume":"6","author":"J Verrelst","year":"2013","unstructured":"Verrelst, J., Alonso, L., Rivera Caicedo, J., Moreno, J., Camps-Valls, G.: Gaussian process retrieval of chlorophyll content from imaging spectroscopy data. IEEE J. Sel. Topics Appl. Earth Obs. Rem. Sens. 6(2), 867\u2013874 (2013)","journal-title":"IEEE J. Sel. Topics Appl. Earth Obs. Rem. Sens."},{"key":"6_CR32","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/j.rse.2011.11.002","volume":"118","author":"J Verrelst","year":"2012","unstructured":"Verrelst, J., Mu\u00f1oz, J., Alonso, L., Delegido, J., Rivera, J., Moreno, J., Camps-Valls, G.: Machine learning regression algorithms for biophysical parameter retrieval: opportunities for Sentinel-2 and -3. Rem. Sens. Environ. 118, 127\u2013139 (2012)","journal-title":"Rem. Sens. Environ."},{"key":"6_CR33","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/j.isprsjprs.2013.09.012","volume":"86","author":"J Verrelst","year":"2013","unstructured":"Verrelst, J., Rivera, J., Moreno, J., Camps-Valls, G.: Gaussian processes uncertainty estimates in experimental Sentinel-2 LAI and leaf chlorophyll content retrieval. ISPRS J. Photogrammetry Rem. Sens. 86, 157\u2013167 (2013)","journal-title":"ISPRS J. Photogrammetry Rem. Sens."},{"key":"6_CR34","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1016\/j.isprsjprs.2015.04.013","volume":"108","author":"J Verrelst","year":"2015","unstructured":"Verrelst, J., Rivera, J., Veroustraete, F., Mu\u00f1oz-Mar\u00ed, J., Clevers, J., Camps-Valls, G., Moreno, J.: Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods - A comparison. ISPRS J. Photogrammetry Rem. Sens. 108, 260\u2013272 (2015)","journal-title":"ISPRS J. Photogrammetry Rem. Sens."},{"issue":"11","key":"6_CR35","doi-asserted-by":"crossref","first-page":"3452","DOI":"10.1109\/TGRS.2006.876297","volume":"44","author":"F Yang","year":"2006","unstructured":"Yang, F., White, M., Michaelis, A., Ichii, K., Hashimoto, H., Votava, P., Zhu, A.X., Nemani, R.: Prediction of continental-scale evapotranspiration by combining MODIS and AmeriFlux data through support vector machine. IEEE Trans. Geosci. Rem. Sens. 44(11), 3452\u20133461 (2006)","journal-title":"IEEE Trans. Geosci. Rem. Sens."}],"container-title":["Lecture Notes in Computer Science","Advanced Analysis and Learning on Temporal Data"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-44412-3_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,24]],"date-time":"2017-06-24T15:52:26Z","timestamp":1498319546000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-44412-3_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319444116","9783319444123"],"references-count":35,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-44412-3_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}