{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T05:58:32Z","timestamp":1742968712888,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319624068"},{"type":"electronic","value":"9783319624075"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","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":[[2017]]},"DOI":"10.1007\/978-3-319-62407-5_48","type":"book-chapter","created":{"date-parts":[[2017,7,14]],"date-time":"2017-07-14T11:16:58Z","timestamp":1500031018000},"page":"662-673","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Clustering Methods to Asses Land Cover Samples of MODIS Vegetation Indexes Time\u00a0Series"],"prefix":"10.1007","author":[{"given":"Lorena A.","family":"Santos","sequence":"first","affiliation":[]},{"given":"Rolf E. O.","family":"Simoes","sequence":"additional","affiliation":[]},{"given":"Karine R.","family":"Ferreira","sequence":"additional","affiliation":[]},{"given":"Gilberto R.","family":"de Queiroz","sequence":"additional","affiliation":[]},{"given":"Gilberto","family":"Camara","sequence":"additional","affiliation":[]},{"given":"Rafael D. C.","family":"Santos","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,7,15]]},"reference":[{"key":"48_CR1","unstructured":"Aguiar, D., Adami, M., Silva, W., Rudorff, B., Mello, M., Silva, J.: MODIS time series to assess pasture land. In: Geoscience and Remote Sensing Symposium (IGARSS) (2010)"},{"key":"48_CR2","doi-asserted-by":"publisher","first-page":"702","DOI":"10.1016\/j.apgeog.2011.08.007","volume":"22","author":"D Arvor","year":"2012","unstructured":"Arvor, D., Meirelles, M., Dubreuil, V., Begue, A., Shimabukuro, Y.: Analyzing the agricultural transition in Mato Grosso, Brazil, using satellite-derived indices. Appl. Geogr. 22, 702\u2013713 (2012)","journal-title":"Appl. Geogr."},{"key":"48_CR3","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.: Land cover classification from MODIS EVI time-series data using SOM neural network. Int. J. Remote Sens. 26, 4999\u20135012 (2005)","journal-title":"Int. J. Remote Sens."},{"key":"48_CR4","first-page":"3729","volume":"20","author":"V Maus","year":"2015","unstructured":"Maus, V., Camara, G., Cartaxo, R., Sanchez, A., Ramos, F., Ribeiro, G.: A time-weighted dynamic time warping method for land cover mapping. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens 20, 3729\u20133739 (2015)","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens"},{"key":"48_CR5","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1186\/1476-072X-12-60","volume":"12","author":"E Augustijn","year":"2013","unstructured":"Augustijn, E., Zurita-Milla, R.: Self-organizing maps as an approach to exploring spatiotemporal diffusion patterns. Int. J. Health Geogr. 12, 60\u201374 (2013)","journal-title":"Int. J. Health Geogr."},{"issue":"1","key":"48_CR6","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1016\/S0034-4257(02)00096-2","volume":"83","author":"A Huete","year":"2002","unstructured":"Huete, A., Didan, K., Miura, T.: Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sens. Environ. 83(1), 195\u2013213 (2002)","journal-title":"Remote Sens. Environ."},{"key":"48_CR7","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1016\/S0034-4257(02)00129-3","volume":"84","author":"X Xiao","year":"2003","unstructured":"Xiao, X., Braswell, B., Zhang, Q., Boles, S., Frolking, S., Moore, B.: Sensitivity of vegetation indices to atmospheric aerosols: continental-scale observations in Northern Asia. Remote Sens. Environ 84, 385\u2013392 (2003)","journal-title":"Remote Sens. Environ"},{"key":"48_CR8","doi-asserted-by":"publisher","first-page":"61","DOI":"10.7763\/IJMO.2016.V6.504","volume":"6","author":"W Natita","year":"2016","unstructured":"Natita, W., Wiboonsak, W., Dusadee, S.: Appropriate learning rate and neighborhood function of self-organizing map (SOM) for specific classification over Southern Thailand. Int. J. Model. Optim 6, 61\u201365 (2016)","journal-title":"Int. J. Model. Optim"},{"key":"48_CR9","unstructured":"Silva, A.L., Peres, M.S., Boscarioli, C.: Introduo a Minerao de Dados: com Aplicaes em R (2016)"},{"key":"48_CR10","unstructured":"Sarda-Espinosa, A.: Comparing time-series clustering algorithms in R using the dtwclust package (2017). https:\/\/CRAN.R-project.org\/package=dtwclust"},{"key":"48_CR11","first-page":"1857","volume":"8","author":"T Liao","year":"2004","unstructured":"Liao, T.: Clustering of time series data-a survey. J. Pattern Recogn. Soc. 8, 1857\u20131874 (2004)","journal-title":"J. Pattern Recogn. Soc."},{"key":"48_CR12","unstructured":"Tatarinova, T., Schumitzky, A.: Nonlinear Mixture Models: A Bayesian Approach. Imperial College Press (2014)"},{"key":"48_CR13","doi-asserted-by":"publisher","first-page":"358","DOI":"10.1007\/s10115-004-0154-9","volume":"7","author":"E Keogh","year":"2005","unstructured":"Keogh, E., Ratanamahatana, C.: Exact indexing of dynamic time warping. Knowl. Inform. Syst. 7, 358\u2013386 (2005)","journal-title":"Knowl. Inform. Syst."},{"key":"48_CR14","doi-asserted-by":"publisher","first-page":"440","DOI":"10.1016\/S0034-4257(96)00112-5","volume":"59","author":"A Huete","year":"1997","unstructured":"Huete, A., Liu, H.Q., Batchily, K., Leeuwen, V.: A comparison of vegetation indices over a global set of TM images for EOS-MODIS. Remote Sens. Environ. 59, 440\u2013451 (1997)","journal-title":"Remote Sens. Environ."},{"key":"48_CR15","unstructured":"Vegetation Indices 16-Day L3 Global 250m. http:\/\/pdaac.usgs.gov\/dataset_discovery\/modis\/modis_products_table\/mod13q"},{"key":"48_CR16","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-011-0800-3_4","volume-title":"Proceedings of the First US\/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach","author":"HH Bock","year":"1994","unstructured":"Bock, H.H.: Information and entropy in cluster analysis. In: Bozdogan, H., Sclove, S.L., Gupta, A.K., Haughton, D., Kitagawa, G., Ozaki, T., Tanabe, K. (eds.) Proceedings of the First US\/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach. Springer, Netherlands (1994). doi:10.1007\/978-94-011-0800-3_4"},{"key":"48_CR17","doi-asserted-by":"publisher","first-page":"477","DOI":"10.1016\/j.rse.2004.01.016","volume":"90","author":"SH Boles","year":"2004","unstructured":"Boles, S.H., Xiao, X., Liu, J., Zhang, Q., Sharav, M., Chen, S., Ojima, D.: Land cover characterization of temperate East Asia using multi-temporal VEGETATION sensor data. Remote Sens. Environ. 90, 477\u2013489 (2004)","journal-title":"Remote Sens. Environ."},{"issue":"1","key":"48_CR18","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1016\/j.patcog.2012.07.021","volume":"46","author":"O Arbelaitz","year":"2013","unstructured":"Arbelaitz, O., Gurrutxaga, I., Muguerza, J., Perez, J.M., Perona, I.: An extensive comparative study of cluster validity indices. Pattern Recogn. 46(1), 243\u2013256 (2013)","journal-title":"Pattern Recogn."},{"key":"48_CR19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24211-8_4","volume-title":"Unsupervised Learning Algorithms","author":"N Toma\u0161ev","year":"2016","unstructured":"Toma\u0161ev, N., Radovanovi\u0107, M.: Clustering evaluation in high-dimensional data. In: Celebi, M.E., Aydin, K. (eds.) Unsupervised Learning Algorithms. Springer International Publishing, Cham (2016). doi:10.1007\/978-3-319-24211-8_4"}],"container-title":["Lecture Notes in Computer Science","Computational Science and Its Applications \u2013 ICCSA 2017"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-62407-5_48","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T18:08:07Z","timestamp":1710266887000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-62407-5_48"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319624068","9783319624075"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-62407-5_48","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"15 July 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCSA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science and Its Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Trieste","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 July 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 July 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccsa2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.iccsa.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}