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  1. Buch ; Online: Towards Interoperable Research Infrastructures for Environmental and Earth Sciences

    Zhao, Zhiming / Hellström, Margareta

    A Reference Model Guided Approach for Common Challenges

    (Information Systems and Applications, incl. Internet/Web, and HCI ; 12003)

    2020  

    Verfasserangabe edited by Zhiming Zhao, Margareta Hellström
    Serientitel Information Systems and Applications, incl. Internet/Web, and HCI ; 12003
    Schlagwörter Application software ; Environment ; Special purpose computers ; Computers ; Software engineering ; Geography ; Umweltwissenschaften ; Informatik ; Geografie
    Schlagwörter Geographie ; Allgemeine Geographie ; Geographische Landeskunde ; Erdkunde ; Allgemeine Geografie ; Geografische Landeskunde ; Computerwissenschaft
    Thema/Rubrik (Code) 004
    Sprache Englisch
    Umfang 1 Online-Ressource (X, 373 p. 124 illus., 101 illus. in color)
    Ausgabenhinweis 1st ed. 2020
    Verlag Springer International Publishing ; Imprint: Springer
    Erscheinungsort Cham
    Dokumenttyp Buch ; Online
    HBZ-ID HT020544225
    ISBN 978-3-030-52829-4 ; 9783030528287 ; 9783030528300 ; 3-030-52829-4 ; 3030528286 ; 3030528308
    DOI 10.1007/978-3-030-52829-4
    Datenquelle ZB MED Katalog Medizin, Gesundheit, Ernährung, Umwelt, Agrar

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  2. Buch ; Online: Towards Interoperable Research Infrastructures for Environmental and Earth Sciences

    Zhao, Zhiming / Hellström, Margareta

    2020  

    Abstract: This open access book summarises the latest developments on data management in the EU H2020 ENVRIplus project, which brought together more than 20 environmental and Earth science research infrastructures into a single community. It provides readers with ... ...

    Abstract This open access book summarises the latest developments on data management in the EU H2020 ENVRIplus project, which brought together more than 20 environmental and Earth science research infrastructures into a single community. It provides readers with a systematic overview of the common challenges faced by research infrastructures and how a 'reference model guided' engineering approach can be used to achieve greater interoperability among such infrastructures in the environmental and earth sciences. The 20 contributions in this book are structured in 5 parts on the design, development, deployment, operation and use of research infrastructures. Part one provides an overview of the state of the art of research infrastructure and relevant e-Infrastructure technologies, part two discusses the reference model guided engineering approach, the third part presents the software and tools developed for common data management challenges, the fourth part demonstrates the software via several use cases, and the last part discusses the sustainability and future directions
    Schlagwörter Information technology ; Environmental sciences ; Geography (General) ; Umweltwissenschaften ; Informatik ; Geografie
    Schlagwörter Geographie ; Allgemeine Geographie ; Geographische Landeskunde ; Erdkunde ; Allgemeine Geografie ; Geografische Landeskunde ; Computerwissenschaft
    Umfang 1 electronic resource (373 pages)
    Verlag Springer Nature
    Dokumenttyp Buch ; Online
    Anmerkung English ; Open Access
    HBZ-ID HT020676426
    ISBN 9783030528294 ; 3030528294
    DOI 10.1007/978-3-030-52829-4
    Datenquelle ZB MED Katalog Medizin, Gesundheit, Ernährung, Umwelt, Agrar

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  3. Buch ; Online: Towards Interoperable Research Infrastructures for Environmental and Earth Sciences

    Zhao, Zhiming / Hellström, Margareta

    2020  

    Abstract: This open access book summarises the latest developments on data management in the EU H2020 ENVRIplus project, which brought together more than 20 environmental and Earth science research infrastructures into a single community. It provides readers with ... ...

    Abstract This open access book summarises the latest developments on data management in the EU H2020 ENVRIplus project, which brought together more than 20 environmental and Earth science research infrastructures into a single community. It provides readers with a systematic overview of the common challenges faced by research infrastructures and how a ‘reference model guided’ engineering approach can be used to achieve greater interoperability among such infrastructures in the environmental and earth sciences. The 20 contributions in this book are structured in 5 parts on the design, development, deployment, operation and use of research infrastructures. Part one provides an overview of the state of the art of research infrastructure and relevant e-Infrastructure technologies, part two discusses the reference model guided engineering approach, the third part presents the software and tools developed for common data management challenges, the fourth part demonstrates the software via several use cases, and the last part discusses the sustainability and future directions.
    Schlagwörter Computer Applications ; Environment ; general ; Special Purpose and Application-Based Systems ; Information Systems and Communication Service ; Software Engineering/Programming and Operating Systems ; Geography ; Computer and Information Systems Applications ; Environmental Sciences ; Database Management System ; Software Engineering ; cloud computing ; cloud providers ; cloud services ; computer networks ; computing resource ; data communication systems ; databases ; distributed computer systems ; distributed systems ; engineering ; grid computing ; internet ; network protocols ; open access ; parallel processing systems ; signal processing ; telecommunication networks ; wireless telecommunication systems ; Information technology: general issues ; The environment ; Expert systems / knowledge-based systems ; Computer networking & communications ; Operating systems
    Thema/Rubrik (Code) 020
    Sprache Englisch
    Verlag Springer Nature
    Dokumenttyp Buch ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

    Volltext online

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  4. Artikel: Low-Density LiDAR and Optical Imagery for Biomass Estimation over Boreal Forest in Sweden

    Shendryk, Iurii / Hellström, Margareta / Klemedtsson, Leif / Kljun, Natascha

    Forests. 2014 May 21, v. 5, no. 5

    2014  

    Abstract: Knowledge of the forest biomass and its change in time is crucial to understanding the carbon cycle and its interactions with climate change. LiDAR (Light Detection and Ranging) technology, in this respect, has proven to be a valuable tool, providing ... ...

    Abstract Knowledge of the forest biomass and its change in time is crucial to understanding the carbon cycle and its interactions with climate change. LiDAR (Light Detection and Ranging) technology, in this respect, has proven to be a valuable tool, providing reliable estimates of aboveground biomass (AGB). The overall goal of this study was to develop a method for assessing AGB using a synergy of low point density LiDAR-derived point cloud data and multi-spectral imagery in conifer-dominated forest in the southwest of Sweden. Different treetop detection algorithms were applied for forest inventory parameter extraction from a LiDAR-derived canopy height model. Estimation of AGB was based on the power functions derived from tree parameters measured in the field, while vegetation classification of a multi-spectral image (SPOT-5) was performed in order to account for dependences of AGB estimates on vegetation types. Linear regression confirmed good performance of a newly developed grid-based approach for biomass estimation (R2 = 0.80). Results showed AGB to vary from below 1 kg/m2 in very young forests to 94 kg/m2 in mature spruce forests, with RMSE of 4.7 kg/m2. These AGB estimates build a basis for further studies on carbon stocks as well as for monitoring this forest ecosystem in respect of disturbance and change in time. The methodology developed in this study can be easily adopted for assessing biomass of other conifer-dominated forests on the basis of low-density LiDAR and multispectral imagery. This methodology is hence of much wider applicability than biomass derivation based on expensive and currently still scarce high-density LiDAR data.
    Schlagwörter aboveground biomass ; algorithms ; boreal forests ; canopy height ; carbon cycle ; carbon sinks ; climate change ; data collection ; forest ecosystems ; forest inventory ; lidar ; models ; monitoring ; multispectral imagery ; Picea ; regression analysis ; tree crown ; Sweden
    Sprache Englisch
    Erscheinungsverlauf 2014-0521
    Umfang p. 992-1010.
    Erscheinungsort Multidisciplinary Digital Publishing Institute
    Dokumenttyp Artikel
    ZDB-ID 2527081-3
    ISSN 1999-4907
    ISSN 1999-4907
    DOI 10.3390/f5050992
    Datenquelle NAL Katalog (AGRICOLA)

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  5. Artikel: Interpreting canopy development and physiology using the EUROPhen camera network at flux sites

    Wingate, Lisa / Ogée, Jérôme / Cremonese, Edoardo / Filippa, Gianluca / Mizunuma, Toshie / Migliavacca, Mirco / Moisy, Christophe / Wilkinson, Matthew / Moureaux, Christine / Wohlfahrt, Georg / Hammerle, Albin / Hörtnagl, Lukas / Gimeno, Cristina / Porcar-Castell, Albert / Galvagno, Marta / Nakaji, Tatsuro / Morison, James / Kolle, Olaf / Knohl, Alexander /
    Kutsch, Werner / Kolari, Pasi / Nikinmaa, Eero / Ibrom, Andreas / Gielen, Bert / Eugster, Werner / Balzarolo, Manuela / Papale, Dario / Klumpp, Katja / Köstner, Barbara / Grünwald, Thomas / Joffre, Richard / Ourcival, Jean-Marc / Hellstrom, Margareta / Lindroth, Anders / Charles, George / Longdoz, Bernard / Genty, Bernard / Levula, Janne / Heinesch, Bernard / Sprintsin, Michael / Yakir, Dan / Manise, T. / Guyon, Dominique / Ahrends, Hella / Plaza-Aguilar, Andres / Guan, Jin Hong / Grace, John

    Biogeosciences 20 (12), 5995-6015. (2015)

    Abstract: Plant phenological development is orchestrated through subtle changes in photoperiod, temperature, soil moisture and nutrient availability. Presently, the exact timing of plant development stages and their response to climate and management practices are ...

    Abstract Plant phenological development is orchestrated through subtle changes in photoperiod, temperature, soil moisture and nutrient availability. Presently, the exact timing of plant development stages and their response to climate and management practices are crudely represented in land surface models. As visual observations of phenology are laborious, there is a need to supplement long-term observations with automated techniques such as those provided by digital repeat photography at high temporal and spatial resolution. We present the first synthesis from a growing observational network of digital cameras installed on towers across Europe above deciduous and evergreen forests, grasslands and croplands, where vegetation and atmosphere CO2 fluxes are measured continuously. Using colour indices from digital images and using piecewise regression analysis of time-series, we explored whether key changes in canopy phenology could be detected automatically across different land use types in the network. The piecewise regression approach could capture the start and end of the growing season, in addition to identifying striking changes in colour signals caused by flowering and management practices such as mowing. Exploring the dates of green up and senescence of deciduous forests extracted by the piecewise regression approach against dates estimated from visual observations we found that these phenological events could be detected adequately (RMSE < 8 and 11 days for leaf out and leaf fall respectively). We also investigated whether the seasonal patterns of red, green and blue colour fractions derived from digital images could be modelled mechanistically using the PROSAIL model parameterised with information of seasonal changes in canopy leaf area and leaf chlorophyll and carotenoid concentrations. From a model sensitivity analysis we found that variations in colour fractions, and in particular the late spring "green hump" observed repeatedly in deciduous broadleaf canopies across the network, are essentially dominated by changes in the respective pigment concentrations. Using the model we were able to explain why this spring maximum in green signal is often observed out of phase with the maximum period of canopy photosynthesis in ecosystems across Europe. Coupling such quasi-continuous digital records of canopy colours with co-located CO2 flux measurements will improve our understanding of how changes in growing season length are likely to shape the capacity of European ecosystems to sequester CO2 in the future.
    Sprache Englisch
    Dokumenttyp Artikel
    Datenquelle AGRIS - International Information System for the Agricultural Sciences and Technology

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  6. Artikel: Interpreting canopy development and physiology using the EUROPhen camera network at flux sites

    Wingate, Lisa / Ogée, Jérôme / Cremonese, Edoardo / Filippa, Gianluca / Mizunuma, Toshie / Migliavacca, Mirco / Moisy, Christophe / Wilkinson, Matthew / Moureaux, Christine / Wohlfahrt, Georg / Hammerle, Albin / Hörtnagl, Lukas / Gimeno, Cristina / Porcar-Castell, Albert / Galvagno, Marta / Nakaji, Tatsuro / Morison, James / Kolle, Olaf / Knohl, Alexander /
    Kutsch, Werner / Kolari, Pasi / Nikinmaa, Eero / Ibrom, Andreas / Gielen, Bert / Eugster, Werner / Balzarolo, Manuela / Papale, Dario / Klumpp, Katja / Köstner, Barbara / Grünwald, Thomas / Joffre, Richard / Ourcival, Jean-Marc / Hellstrom, Margareta / Lindroth, Anders / Charles, George / Longdoz, Bernard / Genty, Bernard / Levula, Janne / Heinesch, Bernard / Sprintsin, Michael / Yakir, Dan / Manise, T. / Guyon, Dominique / Ahrends, Hella / Plaza-Aguilar, Andres / Guan, Jin Hong / Grace, John

    Biogeosciences 20 (12), 5995-6015. (2015)

    Abstract: Plant phenological development is orchestrated through subtle changes in photoperiod, temperature, soil moisture and nutrient availability. Presently, the exact timing of plant development stages and their response to climate and management practices are ...

    Abstract Plant phenological development is orchestrated through subtle changes in photoperiod, temperature, soil moisture and nutrient availability. Presently, the exact timing of plant development stages and their response to climate and management practices are crudely represented in land surface models. As visual observations of phenology are laborious, there is a need to supplement long-term observations with automated techniques such as those provided by digital repeat photography at high temporal and spatial resolution. We present the first synthesis from a growing observational network of digital cameras installed on towers across Europe above deciduous and evergreen forests, grasslands and croplands, where vegetation and atmosphere CO2 fluxes are measured continuously. Using colour indices from digital images and using piecewise regression analysis of time-series, we explored whether key changes in canopy phenology could be detected automatically across different land use types in the network. The piecewise regression approach could capture the start and end of the growing season, in addition to identifying striking changes in colour signals caused by flowering and management practices such as mowing. Exploring the dates of green up and senescence of deciduous forests extracted by the piecewise regression approach against dates estimated from visual observations we found that these phenological events could be detected adequately (RMSE < 8 and 11 days for leaf out and leaf fall respectively). We also investigated whether the seasonal patterns of red, green and blue colour fractions derived from digital images could be modelled mechanistically using the PROSAIL model parameterised with information of seasonal changes in canopy leaf area and leaf chlorophyll and carotenoid concentrations. From a model sensitivity analysis we found that variations in colour fractions, and in particular the late spring "green hump" observed repeatedly in deciduous broadleaf canopies across the network, are essentially dominated by changes in the respective pigment concentrations. Using the model we were able to explain why this spring maximum in green signal is often observed out of phase with the maximum period of canopy photosynthesis in ecosystems across Europe. Coupling such quasi-continuous digital records of canopy colours with co-located CO2 flux measurements will improve our understanding of how changes in growing season length are likely to shape the capacity of European ecosystems to sequester CO2 in the future.
    Sprache Englisch
    Dokumenttyp Artikel
    Datenquelle AGRIS - International Information System for the Agricultural Sciences and Technology

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