{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T05:57:23Z","timestamp":1743055043122,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030854614"},{"type":"electronic","value":"9783030854621"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-85462-1_17","type":"book-chapter","created":{"date-parts":[[2021,8,14]],"date-time":"2021-08-14T06:02:59Z","timestamp":1628920979000},"page":"186-194","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Wetland Classification Using Sparse Spectral Unmixing Algorithm and Landsat 8 OLI Imagery"],"prefix":"10.1007","author":[{"given":"Jie","family":"Ding","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaodong","family":"Na","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xingmei","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,8,15]]},"reference":[{"issue":"1","key":"17_CR1","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/j.ecohyd.2016.12.005","volume":"17","author":"F Daneshva","year":"2017","unstructured":"Daneshva, F., Nejadhashemi, Woznicki, A.P., Sean, A.W., Matthew, R.H.: Applications of computational fluid dynamics in fish and habitat studies. Ecohydrol. Hydrobiol. 17(1), 53\u201362 (2017)","journal-title":"Ecohydrol. Hydrobiol."},{"issue":"15","key":"17_CR2","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1016\/j.rse.2015.12.046","volume":"175","author":"H Rt Park","year":"2016","unstructured":"Rt Park, H., Kim, Y., Kimball, J.S.: Widespread permafrost vulnerability and soil active layer increases over the high northern latitudes inferred from satellite remote sensing and process model assessments. Remote Sens. Environ. 175(15), 349\u2013358 (2016)","journal-title":"Remote Sens. Environ."},{"key":"17_CR3","doi-asserted-by":"publisher","first-page":"955","DOI":"10.1007\/s13157-015-0686-7","volume":"35","author":"XD Na","year":"2015","unstructured":"Na, X.D., Zang, S.Y., Zhang, Y.H., Li, W.L.: Assessing breeding habitat suitability for the endangered red-crowned crane (Grus japonensis) based on multi-source remote sensing data. Wetlands 35, 955\u2013967 (2015)","journal-title":"Wetlands"},{"issue":"1","key":"17_CR4","doi-asserted-by":"publisher","first-page":"015005","DOI":"10.1117\/1.JRS.10.015005","volume":"10","author":"M Zhang","year":"2016","unstructured":"Zhang, M., Gong, Z., Zhao, W., Pu, R., Liu, K.: Estimating wetland vegetation abundance from Landsat-8 operational land imager imagery: a comparison between linear spectral mixture analysis and multinomial logit modeling methods. J. Appl. Remote Sens. 10(1), 015005 (2016)","journal-title":"J. Appl. Remote Sens."},{"issue":"5","key":"17_CR5","doi-asserted-by":"publisher","first-page":"702","DOI":"10.3390\/rs10050702","volume":"10","author":"XD Na","year":"2018","unstructured":"Na, X.D., Zang, S.Y., WU, C.S., Yang, T., Li, W.L.: Hydrological regime monitoring and mapping of the Zhalong Wetland through integrating time series Radarsat-2 and Landsat imagery. Remote Sens. 10(5), 702 (2018)","journal-title":"Remote Sens."},{"key":"17_CR6","doi-asserted-by":"publisher","first-page":"426","DOI":"10.1016\/j.rse.2014.10.003","volume":"156","author":"X Han","year":"2015","unstructured":"Han, X., Chen, X., Feng, L.: Four decades of winter wetland changes in Poyang Lake based on Landsat observations between 1973 and 2013. Remote Sens. Environ. 156, 426\u2013437 (2015)","journal-title":"Remote Sens. Environ."},{"issue":"1","key":"17_CR7","doi-asserted-by":"publisher","first-page":"111467","DOI":"10.1016\/j.rse.2019.111467","volume":"234","author":"S Taddeo","year":"2019","unstructured":"Taddeo, S., Dronova, I., Depsky, N.: Spectral vegetation indices of wetland greenness: responses to vegetation structure, composition, and spatial distribution. Remote Sens. Environ. 234(1), 111467 (2019)","journal-title":"Remote Sens. Environ."},{"issue":"11","key":"17_CR8","doi-asserted-by":"publisher","first-page":"3512","DOI":"10.1080\/01431161.2018.1444288","volume":"39","author":"TX Ma","year":"2018","unstructured":"Ma, T.X., Song, X.F., Svenning, C., Li, R.K.: Linear spectral unmixing using endmember coexistence rules and spatial correlation. Int. J. Remote Sens. 39(11), 3512\u20133536 (2018)","journal-title":"Int. J. Remote Sens."},{"issue":"11","key":"17_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10661-015-4914-7","volume":"187","author":"XD Na","year":"2015","unstructured":"Na, X.D., Zang, S.Y., Wu, C.S., Li, W.L.: Mapping forested wetlands in the Great Zhan River Basin through integrating optical, radar, and topographical data classification techniques. Environ. Monit. Assess. 187(11), 1\u201317 (2015)","journal-title":"Environ. Monit. Assess."},{"key":"17_CR10","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1016\/j.jag.2017.03.007","volume":"59","author":"AO Onojeghuo","year":"2017","unstructured":"Onojeghuo, A.O., Onojeghuo, A.R.: Object-based habitat mapping using very high spatial resolution multispectral and hyperspectral imagery with LiDAR data. Int. J. Appl. Earth Obs. Geoinf. 59, 79\u201391 (2017)","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"17_CR11","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1016\/j.rse.2017.05.031","volume":"197","author":"JH Bian","year":"2017","unstructured":"Bian, J.H., et al.: Monitoring fractional green vegetation cover dynamics over a seasonally inundated alpine wetland using dense time series HJ-1A\/B constellation images and an adaptive endmember selection LSMM model. Remote Sens. Environ. 197, 98\u2013114 (2017)","journal-title":"Remote Sens. Environ."},{"issue":"6","key":"17_CR12","doi-asserted-by":"publisher","first-page":"2014","DOI":"10.1109\/TGRS.2010.2098413","volume":"49","author":"MD Iordache","year":"2011","unstructured":"Iordache, M.D., Bioucas-Dias, J.M., Plaza, A.: Sparse unmixing of hyperspectral data. IEEE Trans. Geosci. Remote Sens. 49(6), 2014\u20132039 (2011)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"6","key":"17_CR13","doi-asserted-by":"publisher","first-page":"306","DOI":"10.1016\/j.jag.2019.02.001","volume":"78","author":"JB Yue","year":"2019","unstructured":"Yue, J.B., Tian, Q.J., Tang, S.F., Xu, K.J., Zhou, C.Q.: A dynamic soil endmember spectrum selection approach for soil and crop residue linear spectral unmixing analysis. Int. J. Appl. Earth Obs. Geoinf. 78(6), 306\u2013317 (2019)","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"issue":"2","key":"17_CR14","doi-asserted-by":"publisher","first-page":"354","DOI":"10.1109\/JSTARS.2012.2194696","volume":"5","author":"JM Bioucas-Dias","year":"2012","unstructured":"Bioucas-Dias, J.M., et al.: Hyperspectral unmixing overview: geometrical, statistical, and sparse regression-based approaches. IEEE J. Select. Topics Appl. Earth Obs. Remote Sens. 5(2), 354\u2013379 (2012)","journal-title":"IEEE J. Select. Topics Appl. Earth Obs. Remote Sens."},{"issue":"10","key":"17_CR15","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1016\/j.ecolmodel.2017.01.004","volume":"353","author":"B Chen","year":"2017","unstructured":"Chen, B., Chen, L.F., Lu, M., Xu, B.: Wetland mapping by fusing fine spatial and hyperspectral resolution images. Ecol. Model. 353(10), 95\u2013106 (2017)","journal-title":"Ecol. Model."}],"container-title":["Lecture Notes in Computer Science","Spatial Data and Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-85462-1_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,14]],"date-time":"2021-08-14T06:04:22Z","timestamp":1628921062000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-85462-1_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030854614","9783030854621"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-85462-1_17","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"15 August 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SpatialDI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Spatial Data and Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hangzhou","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 April 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 April 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"spatialdi2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/dbl.zju.edu.cn\/~yjgao\/spatialdi\/en\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"72","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"14","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"7","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"19% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"6","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}