A study of hydrological extremes from space ...
<!--!introduction!--> Land surface hydrology is a collection of complex processes. The spatial variability both the land surface properties (soil and vegetation) as well as the meteorological inputs (precipitation and radiation) play an important role in hydrology. Satellite remote sensing has...
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ftdatacite:10.57757/iugg23-1792 2023-06-11T04:15:57+02:00 A study of hydrological extremes from space ... Lakshmi, Venkataraman 2023 https://dx.doi.org/10.57757/iugg23-1792 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5017795 unknown GFZ German Research Centre for Geosciences Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 ConferencePaper Oral Article 2023 ftdatacite https://doi.org/10.57757/iugg23-1792 2023-06-01T12:18:52Z <!--!introduction!--> Land surface hydrology is a collection of complex processes. The spatial variability both the land surface properties (soil and vegetation) as well as the meteorological inputs (precipitation and radiation) play an important role in hydrology. Satellite remote sensing has a broad spatial and repeat temporal view of the land surface and is able to provide observations for use in hydrology such as soil moisture, surface temperature and vegetation density. The variability of the water cycle causes extremes such as droughts and floods and these have an impact on society. In addition, landslides and permafrost thaw are the two other hydrological extremes that impact society. In the past two decades with the advent of improved satellite sensors, modeling and in-situ observations, quantification of the water cycle and its extremes has become possible. These satellite sensors include - microwave observations for soil moisture and precipitation; visible/near infrared for vegetation and ... : The 28th IUGG General Assembly (IUGG2023) (Berlin 2023) ... Conference Object permafrost DataCite Metadata Store (German National Library of Science and Technology) |
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<!--!introduction!--> Land surface hydrology is a collection of complex processes. The spatial variability both the land surface properties (soil and vegetation) as well as the meteorological inputs (precipitation and radiation) play an important role in hydrology. Satellite remote sensing has a broad spatial and repeat temporal view of the land surface and is able to provide observations for use in hydrology such as soil moisture, surface temperature and vegetation density. The variability of the water cycle causes extremes such as droughts and floods and these have an impact on society. In addition, landslides and permafrost thaw are the two other hydrological extremes that impact society. In the past two decades with the advent of improved satellite sensors, modeling and in-situ observations, quantification of the water cycle and its extremes has become possible. These satellite sensors include - microwave observations for soil moisture and precipitation; visible/near infrared for vegetation and ... : The 28th IUGG General Assembly (IUGG2023) (Berlin 2023) ... |
format |
Conference Object |
author |
Lakshmi, Venkataraman |
spellingShingle |
Lakshmi, Venkataraman A study of hydrological extremes from space ... |
author_facet |
Lakshmi, Venkataraman |
author_sort |
Lakshmi, Venkataraman |
title |
A study of hydrological extremes from space ... |
title_short |
A study of hydrological extremes from space ... |
title_full |
A study of hydrological extremes from space ... |
title_fullStr |
A study of hydrological extremes from space ... |
title_full_unstemmed |
A study of hydrological extremes from space ... |
title_sort |
study of hydrological extremes from space ... |
publisher |
GFZ German Research Centre for Geosciences |
publishDate |
2023 |
url |
https://dx.doi.org/10.57757/iugg23-1792 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5017795 |
genre |
permafrost |
genre_facet |
permafrost |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.57757/iugg23-1792 |
_version_ |
1768373223965065216 |