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Andrea Baraldi, Luca D. Sapia, Dirk Tiede, Martin Sudmanns, Hannah Augustin & Stefan Lang. (2023) Innovative Analysis Ready Data (ARD) product and process requirements, software system design, algorithms and implementation at the midstream as necessary-but-not-sufficient precondition of the downstream in a new notion of Space Economy 4.0 - Part 2: Software developments. Big Earth Data 7:3, pages 694-811.
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Andrea Baraldi, Luca D. Sapia, Dirk Tiede, Martin Sudmanns, Hannah L. Augustin & Stefan Lang. (2023) Innovative Analysis Ready Data (ARD) product and process requirements, software system design, algorithms and implementation at the midstream as necessary-but-not-sufficient precondition of the downstream in a new notion of Space Economy 4.0 - Part 1: Problem background in Artificial General Intelligence (AGI). Big Earth Data 7:3, pages 455-693.
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Martin Sudmanns, Dirk Tiede, Stefan Lang, Helena Bergstedt, Georg Trost, Hannah Augustin, Andrea Baraldi & Thomas Blaschke. (2020) Big Earth data: disruptive changes in Earth observation data management and analysis?. International Journal of Digital Earth 13:7, pages 832-850.
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Barbara Hofer, Carlos Granell & Lars Bernard. (2018) Innovation in geoprocessing for a Digital Earth. International Journal of Digital Earth 11:1, pages 3-6.
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Costas A. Varotsos & Vladimir F. Krapivin. (2017) A new big data approach based on geoecological information-modeling system. Big Earth Data 1:1-2, pages 47-63.
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Dirk Tiede, Andrea Baraldi, Martin Sudmanns, Mariana Belgiu & Stefan Lang. (2017) Architecture and prototypical implementation of a semantic querying system for big Earth observation image bases. European Journal of Remote Sensing 50:1, pages 452-463.
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Articles from other publishers (21)
André Pacheco, Carlos Guardado Da Silva & Maria Cristina Vieira De Freitas. (2023) A metadata model for authenticity in digital archival descriptions. Archival Science 23:4, pages 629-673.
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Angel Hsu, Li Lili, Marco Schletz & Zhitong Yu. (2023) Chinese cities as digital environmental governance innovators: Evidence from subnational low-Carbon plans. Environment and Planning B: Urban Analytics and City Science.
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Costas A. Varotsos, Vladimir F. Krapivin, Ferdenant A. Mkrtchyan & Yong XueCostas A. Varotsos, Vladimir F. Krapivin, Ferdenant A. Mkrtchyan & Yong Xue. 2023. Constructive Processing of Microwave and Optical Data for Hydrogeochemical Applications. Constructive Processing of Microwave and Optical Data for Hydrogeochemical Applications
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Costas A. Varotsos, Vladimir F. Krapivin, Ferdenant A. Mkrtchyan & Yong XueCostas A. Varotsos, Vladimir F. Krapivin, Ferdenant A. Mkrtchyan & Yong Xue. 2023. Constructive Processing of Microwave and Optical Data for Hydrogeochemical Applications. Constructive Processing of Microwave and Optical Data for Hydrogeochemical Applications
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Costas A. Varotsos, Vladimir F. Krapivin, Ferdenant A. Mkrtchyan & Yong XueCostas A. Varotsos, Vladimir F. Krapivin, Ferdenant A. Mkrtchyan & Yong Xue. 2023. Constructive Processing of Microwave and Optical Data for Hydrogeochemical Applications. Constructive Processing of Microwave and Optical Data for Hydrogeochemical Applications
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Costas A. Varotsos, Vladimir F. Krapivin, Ferdenant A. Mkrtchyan & Yong XueCostas A. Varotsos, Vladimir F. Krapivin, Ferdenant A. Mkrtchyan & Yong Xue. 2023. Constructive Processing of Microwave and Optical Data for Hydrogeochemical Applications. Constructive Processing of Microwave and Optical Data for Hydrogeochemical Applications
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Costas A. Varotsos, Vladimir F. Krapivin, Ferdenant A. Mkrtchyan & Yong XueCostas A. Varotsos, Vladimir F. Krapivin, Ferdenant A. Mkrtchyan & Yong Xue. 2023. Constructive Processing of Microwave and Optical Data for Hydrogeochemical Applications. Constructive Processing of Microwave and Optical Data for Hydrogeochemical Applications
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Costas A. Varotsos, Vladimir F. Krapivin, Ferdenant A. Mkrtchyan & Yong XueCostas A. Varotsos, Vladimir F. Krapivin, Ferdenant A. Mkrtchyan & Yong Xue. 2023. Constructive Processing of Microwave and Optical Data for Hydrogeochemical Applications. Constructive Processing of Microwave and Optical Data for Hydrogeochemical Applications
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Costas A. Varotsos, Vladimir F. Krapivin, Ferdenant A. Mkrtchyan & Yong XueCostas A. Varotsos, Vladimir F. Krapivin, Ferdenant A. Mkrtchyan & Yong Xue. 2023. Constructive Processing of Microwave and Optical Data for Hydrogeochemical Applications. Constructive Processing of Microwave and Optical Data for Hydrogeochemical Applications
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Jonathan da Rocha Miranda & Marcelo de Carvalho Alves. (2022) Geometric and radiometric evaluation of remote sensing information in virtual platforms. Earth Science Informatics 15:3, pages 1789-1800.
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Wei Gao, Ehsan Namaziandost & Mohammad Awad Al-Dawoody Abdulaal. (2021) Visual-Syntactic Text Formatting: Developing EFL Learners’ Reading Fluency Components. Journal of Psycholinguistic Research 51:4, pages 707-727.
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Sebastian Drost, Arne Vogt, Christian Danowski-Buhren, Simon Jirka, Verena Kirstein, Kian Pakzad & Matthes Rieke. (2022) WaCoDiS: Automated Earth Observation data processing within an event-driven architecture for water monitoring. Computers & Geosciences 159, pages 105003.
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Zhi-Wei Hou, Cheng-Zhi Qin, A-Xing Zhu, Yi-Jie Wang, Peng Liang, Yu-Jing Wang & Yun-Qiang Zhu. (2021) Formalizing Parameter Constraints to Support Intelligent Geoprocessing: A SHACL-Based Method. ISPRS International Journal of Geo-Information 10:9, pages 605.
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Rolf Simoes, Gilberto Camara, Gilberto Queiroz, Felipe Souza, Pedro R. Andrade, Lorena Santos, Alexandre Carvalho & Karine Ferreira. (2021) Satellite Image Time Series Analysis for Big Earth Observation Data. Remote Sensing 13:13, pages 2428.
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Zhaoyuan Yu, Dongshuang Li, Zhengfang Zhang, Wen Luo, Yuan Liu, Zengjie Wang & Linwang Yuan. (2021) Lossy compression of Earth system model data based on a hierarchical tensor with Adaptive-HGFDR (v1.0). Geoscientific Model Development 14:2, pages 875-887.
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Xiaochuang Yao, Guoqing Li, Junshi Xia, Jin Ben, Qianqian Cao, Long Zhao, Yue Ma, Lianchong Zhang & Dehai Zhu. (2019) Enabling the Big Earth Observation Data via Cloud Computing and DGGS: Opportunities and Challenges. Remote Sensing 12:1, pages 62.
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Rashed Jalal, Zaheer Iqbal, Matieu Henry, Gianluca Franceschini, Mohammad S. Islam, Mariam Akhter, Zarin T. Khan, Mohammad A. Hadi, Mohammed A. Hossain, M. Golam Mahboob, Tasnuva S. Udita, Tariq Aziz, Syed M. Masum, Liam Costello, Champa R. Saha, Abdullah A. M. Chowdhury, Abdus Salam, Farzana Shahrin, Fazle R. Sumon, Mahbubur Rahman, Mohammad A. Siddique, Mohammad M. Rahman, Md N. Jahan, Mir F. Shaunak, Mohammad S. Rahman, Mohammad R. Islam, Nicola Mosca, Remi D'Annunzio, Shrabanti Hira & Antonio Di Gregorio. (2019) Toward Efficient Land Cover Mapping: An Overview of the National Land Representation System and Land Cover Map 2015 of Bangladesh. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12:10, pages 3852-3861.
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Hannah Augustin, Martin Sudmanns, Dirk Tiede, Stefan Lang & Andrea Baraldi. (2019) Semantic Earth Observation Data Cubes. Data 4:3, pages 102.
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Jinwei Dong, Graciela Metternicht, Patrick Hostert, Rasmus Fensholt & Rinku Roy Chowdhury. (2019) Remote sensing and geospatial technologies in support of a normative land system science: status and prospects. Current Opinion in Environmental Sustainability 38, pages 44-52.
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Andrea Baraldi & Dirk Tiede. (2018) AutoCloud+, a “Universal” Physical and Statistical Model-Based 2D Spatial Topology-Preserving Software for Cloud/Cloud–Shadow Detection in Multi-Sensor Single-Date Earth Observation Multi-Spectral Imagery—Part 1: Systematic ESA EO Level 2 Product Generation at the Ground Segment as Broad Context. ISPRS International Journal of Geo-Information 7:12, pages 457.
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Angela Lausch, Erik Borg, Jan Bumberger, Peter Dietrich, Marco Heurich, Andreas Huth, András Jung, Reinhard Klenke, Sonja Knapp, Hannes Mollenhauer, Hendrik Paasche, Heiko Paulheim, Marion Pause, Christian Schweitzer, Christiane Schmulius, Josef Settele, Andrew Skidmore, Martin Wegmann, Steffen Zacharias, Toralf Kirsten & Michael Schaepman. (2018) Understanding Forest Health with Remote Sensing, Part III: Requirements for a Scalable Multi-Source Forest Health Monitoring Network Based on Data Science Approaches. Remote Sensing 10:7, pages 1120.
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