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210512 ||| eng |
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|a books978-3-03921-005-3
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|a 9783039210053
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|a 9783039210046
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| 100 |
1 |
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|a Kaskaoutis, Dimitris
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| 245 |
0 |
0 |
|a Solar Radiation, Modelling and Remote Sensing
|h Elektronische Ressource
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| 260 |
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|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2019
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| 300 |
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|a 1 electronic resource (230 p.)
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| 653 |
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|a PAR
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| 653 |
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|a solar irradiance
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| 653 |
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|a subcanopy light regime
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| 653 |
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|a insolation
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| 653 |
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|a water vapor
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| 653 |
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|a reflected shortwave radiation at the top of the atmosphere (RSR)
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| 653 |
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|a global horizontal irradiance
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| 653 |
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|a forest canopy
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| 653 |
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|a Clouds and the Earth Radiant Energy System (CERES)
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| 653 |
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|a clear sky
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| 653 |
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|a light attenuation
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| 653 |
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|a AMESIS
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| 653 |
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|a clear sky index
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| 653 |
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|a Solis scheme
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| 653 |
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|a solar radiation
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| 653 |
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|a data fusion
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| 653 |
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|a solar radiation forecasting
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| 653 |
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|a water resource management
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| 653 |
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|a solar energy
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| 653 |
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|a photosynthetically active radiation
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| 653 |
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|a satellite-derived dataset
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| 653 |
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|a radiation model
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| 653 |
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|a solar energy systems
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| 653 |
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|a motion vector field
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| 653 |
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|a earth observation
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| 653 |
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|a solar radiation trends
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| 653 |
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|a clustering analysis
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| 653 |
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|a broadband albedo at the top of the atmosphere (TOA albedo)
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| 653 |
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|a MSG
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| 653 |
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|a cloud categories
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| 653 |
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|a California Delta
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| 653 |
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|a understory light condition
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| 653 |
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|a solar variability
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| 653 |
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|a evapotranspiration
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| 653 |
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|a SEVIRI
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| 653 |
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|a Himawari-8/Advanced Meteorological Imager (Himawari-8/AHI)
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| 653 |
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|a Kato bands
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| 653 |
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|a Geostationary Korea Multi-Purse Satellite/Advanced Meteorological Imager (GK-2A/AMI)
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| 653 |
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|a shortwave radiation
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| 653 |
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|a remote sensing
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| 653 |
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|a India
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| 653 |
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|a radiative transfer
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| 653 |
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|a radiance
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| 653 |
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|a surface energy balance
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| 653 |
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|a HRV
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| 653 |
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|a nowcasting
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| 653 |
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|a surface solar radiation
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| 653 |
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|a aerosol impact
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| 653 |
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|a brightness temperature
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| 653 |
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|a validation
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| 653 |
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|a GOES satellites
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| 653 |
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|a downward shortwave radiation
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| 653 |
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|a high turbidity
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| 700 |
1 |
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|a Polo, Jesús
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by-nc-nd/4.0/
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| 028 |
5 |
0 |
|a 10.3390/books978-3-03921-005-3
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| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/59669
|z DOAB: description of the publication
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| 856 |
4 |
0 |
|u https://www.mdpi.com/books/pdfview/book/1352
|7 0
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 333
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| 082 |
0 |
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|a 700
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| 520 |
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|a Accurate solar radiation knowledge and its characterization on the Earth's surface are of high interest in many aspects of environmental and engineering sciences. Modeling of solar irradiance from satellite imagery has become the most widely used method for retrieving solar irradiance information under total sky conditions, particularly in the solar energy community. Solar radiation modeling, forecasting, and characterization continue to be broad areas of study, research, and development in the scientific community. This Special Issue contains a small sample of the current activities in this field. Both the environmental and climatology community, as the solar energy world, share a great interest in improving modeling tools and capabilities for obtaining more reliable and accurate knowledge of solar irradiance components worldwide. The work presented in this Special Issue also remarks on the significant role that remote sensing technologies play in retrieving and forecasting solar radiation information.
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