Su, Zhongbo and Zeng, Yijian and Romano, Nunzio and Manfreda, Salvatore and Francés, Félix and Ben Dor, Eyal and Szabó, Brigitta and Vico, Giulia and Nasta, Paolo and Zhuang, Ruodan and Francos, Nicolas and Mészáros, János and Fortunato Dal Sasso, Silvano and Bassiouni, Maoya and Zhang, Lijie and Tendayi Rwasoka, Donald and Retsios, Bas and Yu, Lianyu and Blatchford, Megan Leigh and Mannaerts, Chris
(2020).
An Integrative Information Aqueduct to Close the Gaps between Satellite Observation of Water Cycle and Local Sustainable Management of Water Resources.
Water. 12
, 1495
, 1-36
[Journal article]
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PDF
- Published Version
Available under License Creative Commons Attribution. 5MB |
Abstract
The past decades have seen rapid advancements in space-based monitoring of essentialwater cycle variables, providing products related to precipitation, evapotranspiration, and soilmoisture, often at tens of kilometer scales. Whilst these data effectively characterize water cyclevariability at regional to global scales, they are less suitable for sustainable management of localwater resources, which needs detailed information to represent the spatial heterogeneity of soil andvegetation. The following questions are critical to effectively exploit information from remotelysensed and in situ Earth observations (EOs): How to downscale the global water cycle products to thelocal scale using multiple sources and scales of EO data? How to explore and apply the downscaledinformation at the management level for a better understanding of soil-water-vegetation-energyprocesses? How can such fine-scale information be used to improve the management of soiland water resources? An integrative information flow (i.e., iAqueduct theoretical framework) isdeveloped to close the gaps between satellite water cycle products and local information necessary forsustainable management of water resources. The integrated iAqueduct framework aims to addressthe abovementioned scientific questions by combining medium-resolution (10 m–1 km) Copernicus satellite data with high-resolution (cm) unmanned aerial system (UAS) data, in situ observations,analytical- and physical-based models, as well as big-data analytics with machine learning algorithms.This paper provides a general overview of the iAqueduct theoretical framework and introduces somepreliminary results.
Authors/Creators: | Su, Zhongbo and Zeng, Yijian and Romano, Nunzio and Manfreda, Salvatore and Francés, Félix and Ben Dor, Eyal and Szabó, Brigitta and Vico, Giulia and Nasta, Paolo and Zhuang, Ruodan and Francos, Nicolas and Mészáros, János and Fortunato Dal Sasso, Silvano and Bassiouni, Maoya and Zhang, Lijie and Tendayi Rwasoka, Donald and Retsios, Bas and Yu, Lianyu and Blatchford, Megan Leigh and Mannaerts, Chris | ||||
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Title: | An Integrative Information Aqueduct to Close the Gaps between Satellite Observation of Water Cycle and Local Sustainable Management of Water Resources | ||||
Year of publishing : | 2020 | ||||
Volume: | 12 | ||||
Article number: | 1495 | ||||
Number of Pages: | 36 | ||||
Publisher: | MDPI | ||||
ISSN: | 2073-4441 | ||||
Language: | English | ||||
Publication Type: | Journal article | ||||
Article category: | Scientific peer reviewed | ||||
Version: | Published version | ||||
Copyright: | Creative Commons: Attribution 4.0 | ||||
Full Text Status: | Public | ||||
Subjects: | (A) Swedish standard research categories 2011 > 1 Natural sciences > 105 Earth and Related Environmental Sciences > Oceanography, Hydrology, Water Resources | ||||
Keywords: | unmanned aerial system (UAS), soil moisture, pedotransfer function (PTF), soilspectroscopy, ecohydrological modelling, sustainable water resources management | ||||
URN:NBN: | urn:nbn:se:slu:epsilon-p-105930 | ||||
Permanent URL: | http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-105930 | ||||
Additional ID: |
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ID Code: | 17136 | ||||
Faculty: | NJ - Fakulteten för naturresurser och jordbruksvetenskap | ||||
Department: | (NL, NJ) > Dept. of Crop Production Ecology | ||||
Deposited By: | SLUpub Connector | ||||
Deposited On: | 09 Jun 2020 06:12 | ||||
Metadata Last Modified: | 15 Jan 2021 19:46 |
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