{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T01:01:40Z","timestamp":1743123700367,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030196417"},{"type":"electronic","value":"9783030196424"}],"license":[{"start":{"date-parts":[[2019,4,28]],"date-time":"2019-04-28T00:00:00Z","timestamp":1556409600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-19642-4_7","type":"book-chapter","created":{"date-parts":[[2019,4,27]],"date-time":"2019-04-27T10:04:21Z","timestamp":1556359461000},"page":"70-79","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Self-Organizing Maps in Earth Observation Data Cubes Analysis"],"prefix":"10.1007","author":[{"given":"Lorena","family":"Santos","sequence":"first","affiliation":[]},{"given":"Karine Reis","family":"Ferreira","sequence":"additional","affiliation":[]},{"given":"Michelle","family":"Picoli","sequence":"additional","affiliation":[]},{"given":"Gilberto","family":"Camara","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,4,28]]},"reference":[{"key":"7_CR1","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1080\/20964471.2017.1404232","volume":"1","author":"S Nativi","year":"2017","unstructured":"Nativi S, Mazzetti P, Craglia M (2017) A view-based model of data-cube to support big Earth data systems interoperability. Big Earth Data 1:75\u201399","journal-title":"Big Earth Data"},{"key":"7_CR2","doi-asserted-by":"publisher","first-page":"276","DOI":"10.1016\/j.rse.2017.03.015","volume":"202","author":"A Lewis","year":"2017","unstructured":"Lewis A, Oliver S, Lymburner L, Evans B, Wyborn L, Mueller N, Wu W (2017) The Australian geoscience data cube \u2014 foundations and lessons learned. Remote Sens Environ 202:276\u2013292","journal-title":"Remote Sens Environ"},{"key":"7_CR3","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1016\/j.future.2017.11.007","volume":"81","author":"P Soille","year":"2018","unstructured":"Soille P, Burger A, De Marchi D, Kempeneers P, Rodriguez D, Syrris V, Vasilev V (2018) A versatile data-intensive computing platform for information retrieval from big geospatial data. Future Gener Comput Syst 81:30\u201340","journal-title":"Future Gener Comput Syst"},{"unstructured":"FAO: Sepal repository (2018). \n                    https:\/\/github.com\/openforis\/sepal\n                    \n                  . Accessed 14 Dec 2018","key":"7_CR4"},{"key":"7_CR5","doi-asserted-by":"publisher","first-page":"621","DOI":"10.1016\/j.envres.2016.02.005","volume":"147","author":"T Suepa","year":"2016","unstructured":"Suepa T, Qi J, Lawawirojwong S, Messina P (2016) Understanding spatio-temporal variation of vegetation phenology and rainfall seasonality in the monsoon Southeast Asia. Environ Res 147:621\u2013629","journal-title":"Environ Res"},{"issue":"3","key":"7_CR6","doi-asserted-by":"publisher","first-page":"152","DOI":"10.1002\/rse2.24","volume":"2","author":"J Pasquarella","year":"2016","unstructured":"Pasquarella J, Holden E, Kaufman L, Woodcock E (2016) From imagery to ecology: leveraging time series of all available landsat observations to map and monitor ecosystem state and dynamics. Remote Sens Ecol Conserv 2(3):152\u2013170","journal-title":"Remote Sens Ecol Conserv"},{"key":"7_CR7","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1016\/j.isprsjprs.2016.03.008","volume":"116","author":"C Gomez","year":"2016","unstructured":"Gomez C, White C, Wulder A (2016) Optical remotely sensed time series data for land cover classification: a review. J Photogram Remote Sens 116:55\u201372","journal-title":"J Photogram Remote Sens"},{"key":"7_CR8","doi-asserted-by":"publisher","first-page":"4999","DOI":"10.1080\/01431160500206650","volume":"26","author":"H Bagan","year":"2005","unstructured":"Bagan H, Wang Q, Watanabe M, Yang Y, Ma J (2005) Land cover classification from Modis EVI time-series data using SOM neural network. Int J Remote Sens 26:4999\u20135012","journal-title":"Int J Remote Sens"},{"unstructured":"Siam L (2013) Soft supervised self-organizing mapping (3SOM) for improving land cover classification with MODIS time-series. PhD thesis, Michigan State University, Michigan","key":"7_CR9"},{"issue":"8","key":"7_CR10","doi-asserted-by":"publisher","first-page":"3729","DOI":"10.1109\/JSTARS.2016.2517118","volume":"9","author":"V Maus","year":"2016","unstructured":"Maus V, Camara G, Cartaxo R, Sanchez A, Ramos M, Queiroz G (2016) A time-weighted dynamic time warping method for land-use and land-cover mapping. IEEE J Sel Top Appl Earth Observ Remote Sens 9(8):3729\u20133739","journal-title":"IEEE J Sel Top Appl Earth Observ Remote Sens"},{"key":"7_CR11","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1016\/S0034-4257(02)00096-2","volume":"86","author":"A Huete","year":"2002","unstructured":"Huete A, Didan K, Miura T, Rodriguez E, Gao X, Fereira L (2002) Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sens Environ 86:195\u2013213","journal-title":"Remote Sens Environ"},{"key":"7_CR12","doi-asserted-by":"publisher","first-page":"328","DOI":"10.1016\/j.isprsjprs.2018.08.007","volume":"145","author":"M Picoli","year":"2018","unstructured":"Picoli M, Camara G, Sanches I, Simoes R, Carvalho A, Maciel A, Coutinho A, Esquerdo J, Antunes J, Begotti R, Arvor D, Almeida C (2018) Big Earth observation time series analysis for monitoring Brazilian agriculture. ISPRS J Photogram Remote Sens 145:328\u2013339","journal-title":"ISPRS J Photogram Remote Sens"},{"issue":"4","key":"7_CR13","doi-asserted-by":"publisher","first-page":"477","DOI":"10.1016\/j.rse.2004.01.016","volume":"90","author":"H Boles","year":"2004","unstructured":"Boles H, Xiao X, Liu J, Zhang Q, Munktuya S, Chen S, Ojima D (2004) Land cover characterization of temperate East Asia using multi-temporal vegetation sensor data. Remote Sens Environ 90(4):477\u2013489","journal-title":"Remote Sens Environ"},{"doi-asserted-by":"crossref","unstructured":"Udelhoven T, Stellmes M, Rodes A (2015) Assessing rainfall-EVI relationships in the Okavango catchment employing MODIS time series data and distributed lag models. In: Revealing land surface dynamics. Remote sensing time series. Springer, Cham, pp 225\u2013245","key":"7_CR14","DOI":"10.1007\/978-3-319-15967-6_11"},{"key":"7_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.18637\/jss.v021.i05","volume":"21","author":"R Wehrens","year":"2007","unstructured":"Wehrens R, Buydens L (2007) Self and super-organizing maps in R: the Kohonen package. J Stat Softw 21:1\u201319","journal-title":"J Stat Softw"},{"doi-asserted-by":"publisher","unstructured":"Camara G, Simoes R, Andrade P, Maus V, Sanchez A, Assis L, Santos L, Ywata A, Maciel A, Vinhas L, Ferreira K, Queiroz G (2018) Sits e-sensing\/sits: Version 1.12.5, December 2018. \n                    https:\/\/doi.org\/10.5281\/zenodo.1974065","key":"7_CR16","DOI":"10.5281\/zenodo.1974065"}],"container-title":["Advances in Intelligent Systems and Computing","Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-19642-4_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,18]],"date-time":"2019-05-18T03:47:26Z","timestamp":1558151246000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-19642-4_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4,28]]},"ISBN":["9783030196417","9783030196424"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-19642-4_7","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2019,4,28]]},"assertion":[{"value":"28 April 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WSOM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Self-Organizing Maps","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Barcelona","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 June 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 June 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"wsom2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/samm.univ-paris1.fr\/WSOM-2017","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}