Caj Södergård, T. Mildorf, Arne-Jørgen Berre, A. Tsalgatidou, K. Charvát
{"title":"Big Data Technologies in DataBio","authors":"Caj Södergård, T. Mildorf, Arne-Jørgen Berre, A. Tsalgatidou, K. Charvát","doi":"10.1007/978-3-030-71069-9_1","DOIUrl":"https://doi.org/10.1007/978-3-030-71069-9_1","url":null,"abstract":"","PeriodicalId":244575,"journal":{"name":"Big Data in Bioeconomy","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134326670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Summary of Potential and Exploitation of Big Data and AI in Bioeconomy","authors":"Caj Södergård","doi":"10.1007/978-3-030-71069-9_32","DOIUrl":"https://doi.org/10.1007/978-3-030-71069-9_32","url":null,"abstract":"","PeriodicalId":244575,"journal":{"name":"Big Data in Bioeconomy","volume":"282 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124509205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Esbrí, E. Klien, K. Charvát, Christian Zinke-Wehlmann, Javier Hitado, Caj Södergård
{"title":"Big Data Visualisation","authors":"M. Esbrí, E. Klien, K. Charvát, Christian Zinke-Wehlmann, Javier Hitado, Caj Södergård","doi":"10.1007/978-3-030-71069-9_13","DOIUrl":"https://doi.org/10.1007/978-3-030-71069-9_13","url":null,"abstract":"","PeriodicalId":244575,"journal":{"name":"Big Data in Bioeconomy","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115686890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Remote Sensing","authors":"M. Esbrí","doi":"10.1002/9781119534839.ch6","DOIUrl":"https://doi.org/10.1002/9781119534839.ch6","url":null,"abstract":"In this chapter we present the concepts of remote sensing and Earth Observation and, explain why several of their characteristics (volume, variety and velocity) make us consider Earth Observation as Big Data. Thereafter, we discuss the most commonly open data formats used to store and share the data. The main sources of Earth Observation data are also described, with particular focus on the constellation of Sentinel satellites, Copernicus Hub and its six thematic services, as well as other private initiatives like the five Copernicus-related Data and Information Access Services and Sentinel Hub. Next, we present an overview of representative software technologies for efficiently describing, storing, querying and accessing Earth Observation datasets. The chapter concludes with a summary of the Earth Observation datasets used in each DataBio pilot.","PeriodicalId":244575,"journal":{"name":"Big Data in Bioeconomy","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126605798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Introduction—State of the Art of Technology and Market Potential for Big Data in Forestry","authors":"J. Miettinen, Renne Tergujeff","doi":"10.1007/978-3-030-71069-9_22","DOIUrl":"https://doi.org/10.1007/978-3-030-71069-9_22","url":null,"abstract":"","PeriodicalId":244575,"journal":{"name":"Big Data in Bioeconomy","volume":"253 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122637987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Miettinen, S. Bonnet, A. Nielsen, Seppo Huurinainen, Renne Tergujeff
{"title":"Forest Variable Estimation and Change Monitoring Solutions Based on Remote Sensing Big Data","authors":"J. Miettinen, S. Bonnet, A. Nielsen, Seppo Huurinainen, Renne Tergujeff","doi":"10.1007/978-3-030-71069-9_24","DOIUrl":"https://doi.org/10.1007/978-3-030-71069-9_24","url":null,"abstract":"","PeriodicalId":244575,"journal":{"name":"Big Data in Bioeconomy","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122642799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Crowdsourced Data","authors":"K. Charvát, M. Kepka","doi":"10.1007/978-3-030-71069-9_5","DOIUrl":"https://doi.org/10.1007/978-3-030-71069-9_5","url":null,"abstract":"","PeriodicalId":244575,"journal":{"name":"Big Data in Bioeconomy","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123235414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Rogotis, Fabiana Fournier, K. Charvát, M. Kepka
{"title":"Sensor Data","authors":"S. Rogotis, Fabiana Fournier, K. Charvát, M. Kepka","doi":"10.1007/978-3-030-71069-9_3","DOIUrl":"https://doi.org/10.1007/978-3-030-71069-9_3","url":null,"abstract":"","PeriodicalId":244575,"journal":{"name":"Big Data in Bioeconomy","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134554793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Genomic Prediction and Selection in Support of Sorghum Value Chains","authors":"E. Habyarimana, S. Michailidou","doi":"10.1007/978-3-030-71069-9_16","DOIUrl":"https://doi.org/10.1007/978-3-030-71069-9_16","url":null,"abstract":"","PeriodicalId":244575,"journal":{"name":"Big Data in Bioeconomy","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132640725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Conclusions and Outlook—Summary of Big Data in Forestry","authors":"J. Miettinen, Renne Tergujeff","doi":"10.1007/978-3-030-71069-9_27","DOIUrl":"https://doi.org/10.1007/978-3-030-71069-9_27","url":null,"abstract":"","PeriodicalId":244575,"journal":{"name":"Big Data in Bioeconomy","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128916544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}