Characterization of the land surface freeze/thaw state with SMAP-Reflectometry (SMAP-R)

The use of the Soil Moisture Active Passive (SMAP) radar in received mode has allowed for a new dataset of Global Navigation Satellite System – Reflectometry (GNSS-R) measurements. GNSS-R techniques have been used for more than two decades and have proven successful perform altimetry studies and to...

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Bibliographic Details
Main Authors: Rodriguez-Alvarez, Nereida, Podest, Erika
Format: Report
Language:English
Published: Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2019 2021
Subjects:
SMAP
reflectometry
GNSS-R
freeze/thaw state
landscapes
Sea ice
Alaska
Online Access:http://hdl.handle.net/2014/51198
id ftnasajpl:oai:trs.jpl.nasa.gov:2014/51198
record_format openpolar
spelling ftnasajpl:oai:trs.jpl.nasa.gov:2014/51198 2023-05-15T18:17:26+02:00 Characterization of the land surface freeze/thaw state with SMAP-Reflectometry (SMAP-R) Rodriguez-Alvarez, Nereida Podest, Erika 2021-03-03T19:55:42Z application/pdf http://hdl.handle.net/2014/51198 en_US eng Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2019 IGARSS 2019 - IEEE International Geoscience and Remote Sensing Symposium,Yokohama, Japan, July 28 - August 2, 2019 19-2459 http://hdl.handle.net/2014/51198 SMAP reflectometry GNSS-R freeze/thaw state landscapes Preprint 2021 ftnasajpl 2021-12-23T13:11:53Z The use of the Soil Moisture Active Passive (SMAP) radar in received mode has allowed for a new dataset of Global Navigation Satellite System – Reflectometry (GNSS-R) measurements. GNSS-R techniques have been used for more than two decades and have proven successful perform altimetry studies and to retrieve ocean wind speed and soil moisture, monitor wetland dynamics, estimate snow depth, detect sea ice and determine sea ice types. In this paper, the SMAP-Reflectometry measurements are used to classify freeze/thaw (F/T) state over Alaska, studying the differences in the SNR signal at both V and H polarizations. NASA/JPL Report Sea ice Alaska JPL Technical Report Server
institution Open Polar
collection JPL Technical Report Server
op_collection_id ftnasajpl
language English
topic SMAP
reflectometry
GNSS-R
freeze/thaw state
landscapes
spellingShingle SMAP
reflectometry
GNSS-R
freeze/thaw state
landscapes
Rodriguez-Alvarez, Nereida
Podest, Erika
Characterization of the land surface freeze/thaw state with SMAP-Reflectometry (SMAP-R)
topic_facet SMAP
reflectometry
GNSS-R
freeze/thaw state
landscapes
description The use of the Soil Moisture Active Passive (SMAP) radar in received mode has allowed for a new dataset of Global Navigation Satellite System – Reflectometry (GNSS-R) measurements. GNSS-R techniques have been used for more than two decades and have proven successful perform altimetry studies and to retrieve ocean wind speed and soil moisture, monitor wetland dynamics, estimate snow depth, detect sea ice and determine sea ice types. In this paper, the SMAP-Reflectometry measurements are used to classify freeze/thaw (F/T) state over Alaska, studying the differences in the SNR signal at both V and H polarizations. NASA/JPL
format Report
author Rodriguez-Alvarez, Nereida
Podest, Erika
author_facet Rodriguez-Alvarez, Nereida
Podest, Erika
author_sort Rodriguez-Alvarez, Nereida
title Characterization of the land surface freeze/thaw state with SMAP-Reflectometry (SMAP-R)
title_short Characterization of the land surface freeze/thaw state with SMAP-Reflectometry (SMAP-R)
title_full Characterization of the land surface freeze/thaw state with SMAP-Reflectometry (SMAP-R)
title_fullStr Characterization of the land surface freeze/thaw state with SMAP-Reflectometry (SMAP-R)
title_full_unstemmed Characterization of the land surface freeze/thaw state with SMAP-Reflectometry (SMAP-R)
title_sort characterization of the land surface freeze/thaw state with smap-reflectometry (smap-r)
publisher Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2019
publishDate 2021
url http://hdl.handle.net/2014/51198
genre Sea ice
Alaska
genre_facet Sea ice
Alaska
op_relation IGARSS 2019 - IEEE International Geoscience and Remote Sensing Symposium,Yokohama, Japan, July 28 - August 2, 2019
19-2459
http://hdl.handle.net/2014/51198
_version_ 1766191644063825920

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