Comparison of SAR and CYGNSS Surface Water Extent Metrics
Many sensors are suitable for accurate delineation of open water extent, but in vegetated environments, the vegetation canopy can obscure the presence of standing water from detection. Detecting inundation extent in these vegetated environments is especially critical for identifying flooding extent...
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9745185/ |
| _version_ | 1797942143779602432 |
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| author | Bruce D. Chapman Ilaria Mara Russo Carmela Galdi Mary Morris Maurizio di Bisceglie Cinzia Zuffada Brandi Downs Marco Lavalle Eric Loria Andrew J. O'Brien |
| author_facet | Bruce D. Chapman Ilaria Mara Russo Carmela Galdi Mary Morris Maurizio di Bisceglie Cinzia Zuffada Brandi Downs Marco Lavalle Eric Loria Andrew J. O'Brien |
| author_sort | Bruce D. Chapman |
| collection | DOAJ |
| description | Many sensors are suitable for accurate delineation of open water extent, but in vegetated environments, the vegetation canopy can obscure the presence of standing water from detection. Detecting inundation extent in these vegetated environments is especially critical for identifying flooding extent where surface water may exceed flood boundaries and extend into forests surrounding nearby lakes and streams. Regular and timely observations of water surfaces by optical sensors can be impeded by both cloud cover and by vegetation. Here, two microwave techniques for identifying inundation extent will be investigated and compared: <italic>L</italic>-band global navigation satellite systems reflectometry (GNSS-R) and <italic>L</italic>- and <italic>C</italic>-band synthetic aperture radar (SAR); and will confirm that there are correspondences between metrics derived from GNSS reflected signals and <italic>L</italic>-band SAR to inundated area, including wetlands covered by vegetation. |
| first_indexed | 2024-04-10T20:03:48Z |
| format | Article |
| id | doaj.art-8d9aa3c575db4446b93aa0c5a4c3b78d |
| institution | Directory Open Access Journal |
| issn | 2151-1535 |
| language | English |
| last_indexed | 2024-04-10T20:03:48Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj.art-8d9aa3c575db4446b93aa0c5a4c3b78d2023-01-27T00:00:04ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352022-01-01153235324510.1109/JSTARS.2022.31627649745185Comparison of SAR and CYGNSS Surface Water Extent MetricsBruce D. Chapman0https://orcid.org/0000-0002-6054-7695Ilaria Mara Russo1https://orcid.org/0000-0002-4941-5990Carmela Galdi2https://orcid.org/0000-0001-6280-5160Mary Morris3https://orcid.org/0000-0002-9580-6239Maurizio di Bisceglie4https://orcid.org/0000-0003-0768-7151Cinzia Zuffada5https://orcid.org/0000-0002-3096-122XBrandi Downs6https://orcid.org/0000-0001-5569-7560Marco Lavalle7https://orcid.org/0000-0002-9858-6454Eric Loria8Andrew J. O'Brien9Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USADipartimento di Ingegneria, Università degli Studi del Sannio, Benevento, ItalyDipartimento di Ingegneria, Università degli Studi del Sannio, Benevento, ItalyJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USADipartimento di Ingegneria, Università degli Studi del Sannio, Benevento, ItalyJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USAOhio State University, Columbus, OH, USAJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USAJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USAOhio State University, Columbus, OH, USAMany sensors are suitable for accurate delineation of open water extent, but in vegetated environments, the vegetation canopy can obscure the presence of standing water from detection. Detecting inundation extent in these vegetated environments is especially critical for identifying flooding extent where surface water may exceed flood boundaries and extend into forests surrounding nearby lakes and streams. Regular and timely observations of water surfaces by optical sensors can be impeded by both cloud cover and by vegetation. Here, two microwave techniques for identifying inundation extent will be investigated and compared: <italic>L</italic>-band global navigation satellite systems reflectometry (GNSS-R) and <italic>L</italic>- and <italic>C</italic>-band synthetic aperture radar (SAR); and will confirm that there are correspondences between metrics derived from GNSS reflected signals and <italic>L</italic>-band SAR to inundated area, including wetlands covered by vegetation.https://ieeexplore.ieee.org/document/9745185/CYGNSSglobal navigation satellite systems reflectometry (GNSS-R)inundation extentsynthetic aperture radar (SAR)UAVSARwetlands |
| spellingShingle | Bruce D. Chapman Ilaria Mara Russo Carmela Galdi Mary Morris Maurizio di Bisceglie Cinzia Zuffada Brandi Downs Marco Lavalle Eric Loria Andrew J. O'Brien Comparison of SAR and CYGNSS Surface Water Extent Metrics IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing CYGNSS global navigation satellite systems reflectometry (GNSS-R) inundation extent synthetic aperture radar (SAR) UAVSAR wetlands |
| title | Comparison of SAR and CYGNSS Surface Water Extent Metrics |
| title_full | Comparison of SAR and CYGNSS Surface Water Extent Metrics |
| title_fullStr | Comparison of SAR and CYGNSS Surface Water Extent Metrics |
| title_full_unstemmed | Comparison of SAR and CYGNSS Surface Water Extent Metrics |
| title_short | Comparison of SAR and CYGNSS Surface Water Extent Metrics |
| title_sort | comparison of sar and cygnss surface water extent metrics |
| topic | CYGNSS global navigation satellite systems reflectometry (GNSS-R) inundation extent synthetic aperture radar (SAR) UAVSAR wetlands |
| url | https://ieeexplore.ieee.org/document/9745185/ |
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