The Digital Earth Smart Monitoring Concept and Tools. Koedel, U., Dietrich, P., Fischer, P., Greinert, J., Bundke, U., Burwicz-Galerne, E., Haas, A., Herrarte, I., Haroon, A., Jegen, M., Kalbacher, T., Kennert, M., Korf, T., Kunkel, R., Kwok, C. Y., Mahnke, C., Nixdorf, E., Paasche, H., González Ávalos, E., Petzold, A., Rohs, S., Wagner, R., & Walter, A. In Bouwer, L. M., Dransch, D., Ruhnke, R., Rechid, D., Frickenhaus, S., & Greinert, J., editors, Integrating Data Science and Earth Science, pages 85–120. Springer International Publishing, Cham, 2022. ![The Digital Earth Smart Monitoring Concept and Tools [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Abstract Reliable data are the base of all scientific analyses, interpretations and conclusions. Evaluating data in a smart way speeds up the process of interpretation and conclusion and highlights where, when and how additionally acquired data in the field will support knowledge gain. An extended SMART monitoring concept is introduced which includes SMART sensors, DataFlows, MetaData and Sampling approaches and tools. In the course of the Digital Earth project, the meaning of SMART monitoring has significantly evolved. It stands for a combination of hard- and software tools enhancing the traditional monitoring approach where a SMART monitoring DataFlow is processed and analyzed sequentially on the way from the sensor to a repository into an integrated analysis approach. The measured values itself, its metadata, and the status of the sensor, and additional auxiliary data can be made available in real time and analyzed to enhance the sensor output concerning accuracy and precision. Although several parts of the four tools are known, technically feasible and sometimes applied in Earth science studies, there is a large discrepancy between knowledge and our derived ambitions and what is feasible and commonly done in the reality and in the field.
@incollection{bouwer_digital_2022,
address = {Cham},
title = {The {Digital} {Earth} {Smart} {Monitoring} {Concept} and {Tools}},
isbn = {9783030995454 9783030995461},
url = {https://link.springer.com/10.1007/978-3-030-99546-1_6},
abstract = {Abstract
Reliable data are the base of all scientific analyses, interpretations and conclusions. Evaluating data in a smart way speeds up the process of interpretation and conclusion and highlights where, when and how additionally acquired data in the field will support knowledge gain. An extended SMART monitoring concept is introduced which includes SMART sensors, DataFlows, MetaData and Sampling approaches and tools. In the course of the Digital Earth project, the meaning of SMART monitoring has significantly evolved. It stands for a combination of hard- and software tools enhancing the traditional monitoring approach where a SMART monitoring DataFlow is processed and analyzed sequentially on the way from the sensor to a repository into an integrated analysis approach. The measured values itself, its metadata, and the status of the sensor, and additional auxiliary data can be made available in real time and analyzed to enhance the sensor output concerning accuracy and precision. Although several parts of the four tools are known, technically feasible and sometimes applied in Earth science studies, there is a large discrepancy between knowledge and our derived ambitions and what is feasible and commonly done in the reality and in the field.},
language = {en},
urldate = {2022-11-21},
booktitle = {Integrating {Data} {Science} and {Earth} {Science}},
publisher = {Springer International Publishing},
author = {Koedel, Uta and Dietrich, Peter and Fischer, Philipp and Greinert, Jens and Bundke, Ulrich and Burwicz-Galerne, Ewa and Haas, Antonie and Herrarte, Isabel and Haroon, Amir and Jegen, Marion and Kalbacher, Thomas and Kennert, Marcel and Korf, Tobias and Kunkel, Ralf and Kwok, Ching Yin and Mahnke, Christoph and Nixdorf, Erik and Paasche, Hendrik and González Ávalos, Everardo and Petzold, Andreas and Rohs, Susanne and Wagner, Robert and Walter, Andreas},
editor = {Bouwer, Laurens M. and Dransch, Doris and Ruhnke, Roland and Rechid, Diana and Frickenhaus, Stephan and Greinert, Jens},
year = {2022},
doi = {10.1007/978-3-030-99546-1_6},
pages = {85--120},
}
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