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Wetland monitoring with Global Navigation Satellite System reflectometry

Information about wetland dynamics remains a major missing gap in characterizing, understanding, and projecting changes in atmospheric methane and terrestrial water storage. A review of current satellite methods to delineate and monitor wetland change shows some recent advances, but much improved se...

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Autores principales: Nghiem, Son V., Zuffada, Cinzia, Shah, Rashmi, Chew, Clara, Lowe, Stephen T., Mannucci, Anthony J., Cardellach, Estel, Brakenridge, G. Robert, Geller, Gary, Rosenqvist, Ake
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5340282/
https://www.ncbi.nlm.nih.gov/pubmed/28331894
http://dx.doi.org/10.1002/2016EA000194
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author Nghiem, Son V.
Zuffada, Cinzia
Shah, Rashmi
Chew, Clara
Lowe, Stephen T.
Mannucci, Anthony J.
Cardellach, Estel
Brakenridge, G. Robert
Geller, Gary
Rosenqvist, Ake
author_facet Nghiem, Son V.
Zuffada, Cinzia
Shah, Rashmi
Chew, Clara
Lowe, Stephen T.
Mannucci, Anthony J.
Cardellach, Estel
Brakenridge, G. Robert
Geller, Gary
Rosenqvist, Ake
author_sort Nghiem, Son V.
collection PubMed
description Information about wetland dynamics remains a major missing gap in characterizing, understanding, and projecting changes in atmospheric methane and terrestrial water storage. A review of current satellite methods to delineate and monitor wetland change shows some recent advances, but much improved sensing technologies are still needed for wetland mapping, not only to provide more accurate global inventories but also to examine changes spanning multiple decades. Global Navigation Satellite Systems Reflectometry (GNSS‐R) signatures from aircraft over the Ebro River Delta in Spain and satellite measurements over the Mississippi River and adjacent watersheds demonstrate that inundated wetlands can be identified under different vegetation conditions including a dense rice canopy and a thick forest with tall trees, where optical sensors and monostatic radars provide limited capabilities. Advantages as well as constraints of GNSS‐R are presented, and the synergy with various satellite observations are considered to achieve a breakthrough capability for multidecadal wetland dynamics monitoring with frequent global coverage at multiple spatial and temporal scales.
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spelling pubmed-53402822017-03-20 Wetland monitoring with Global Navigation Satellite System reflectometry Nghiem, Son V. Zuffada, Cinzia Shah, Rashmi Chew, Clara Lowe, Stephen T. Mannucci, Anthony J. Cardellach, Estel Brakenridge, G. Robert Geller, Gary Rosenqvist, Ake Earth Space Sci Research Articles Information about wetland dynamics remains a major missing gap in characterizing, understanding, and projecting changes in atmospheric methane and terrestrial water storage. A review of current satellite methods to delineate and monitor wetland change shows some recent advances, but much improved sensing technologies are still needed for wetland mapping, not only to provide more accurate global inventories but also to examine changes spanning multiple decades. Global Navigation Satellite Systems Reflectometry (GNSS‐R) signatures from aircraft over the Ebro River Delta in Spain and satellite measurements over the Mississippi River and adjacent watersheds demonstrate that inundated wetlands can be identified under different vegetation conditions including a dense rice canopy and a thick forest with tall trees, where optical sensors and monostatic radars provide limited capabilities. Advantages as well as constraints of GNSS‐R are presented, and the synergy with various satellite observations are considered to achieve a breakthrough capability for multidecadal wetland dynamics monitoring with frequent global coverage at multiple spatial and temporal scales. John Wiley and Sons Inc. 2017-01-12 2017-01 /pmc/articles/PMC5340282/ /pubmed/28331894 http://dx.doi.org/10.1002/2016EA000194 Text en ©2016. The Authors. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Nghiem, Son V.
Zuffada, Cinzia
Shah, Rashmi
Chew, Clara
Lowe, Stephen T.
Mannucci, Anthony J.
Cardellach, Estel
Brakenridge, G. Robert
Geller, Gary
Rosenqvist, Ake
Wetland monitoring with Global Navigation Satellite System reflectometry
title Wetland monitoring with Global Navigation Satellite System reflectometry
title_full Wetland monitoring with Global Navigation Satellite System reflectometry
title_fullStr Wetland monitoring with Global Navigation Satellite System reflectometry
title_full_unstemmed Wetland monitoring with Global Navigation Satellite System reflectometry
title_short Wetland monitoring with Global Navigation Satellite System reflectometry
title_sort wetland monitoring with global navigation satellite system reflectometry
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5340282/
https://www.ncbi.nlm.nih.gov/pubmed/28331894
http://dx.doi.org/10.1002/2016EA000194
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