Spatiotemporal variations of wetland backscatter: The role of water depth and vegetation characteristics in Sentinel-1 dual-polarization SAR observations
Synthetic Aperture Radar (SAR) backscatter observations are sensitive to hydrologic conditions and vegetation characteristics of land cover. This study conducted a high spatial-resolution investigation (30-m) on the response of dual-polarization C-band (5.6 cm wavelength) SAR backscatter coefficient...
Gespeichert in:
| Veröffentlicht in: | Remote sensing of environment 2022-03, Vol.270, p.112864, Article 112864 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | 112864 |
| container_title | Remote sensing of environment |
| container_volume | 270 |
| creator | Zhang, Boya Wdowinski, Shimon Gann, Daniel Hong, Sang-Hoon Sah, Jay |
| description | Synthetic Aperture Radar (SAR) backscatter observations are sensitive to hydrologic conditions and vegetation characteristics of land cover. This study conducted a high spatial-resolution investigation (30-m) on the response of dual-polarization C-band (5.6 cm wavelength) SAR backscatter coefficients (σ°) to temporal changes of surface water depth (dw) and spatial variations of vegetation characteristics in the south Florida Everglades wetlands. We investigated (1) linear relationships between σ° and dw values, and (2) the effects of vegetation density and morphology on σ°-dw relationships. We developed a new method to classify pixels with significant linear relationships of multi-temporal σ° and dw (R2 > 0.5 and p-value |
| doi_str_mv | 10.1016/j.rse.2021.112864 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2639035461</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0034425721005848</els_id><sourcerecordid>2639035461</sourcerecordid><originalsourceid>FETCH-LOGICAL-c368t-d7515a41ba7212fcc38939b5fb220af3ee908fa5e52dca513aedf0607cb4421b3</originalsourceid><addsrcrecordid>eNp9kc1u2zAQhIkiBeo4fYDeCPQsl0uK-mlPQZA_wECA2jkTK2pV01VElaRdpG-St60c5ZzTArPf7CwwjH0BsQIBxbf9KkRaSSFhBSCrIv_AFlCVdSZKkZ-xhRAqz3Kpy0_sPMa9EKCrEhbsZTNicj7R0-gD9vyIwZ2EIXLf8b-Uehxa3qD9HS2mROE73-6IB9_TK4CTxFsa046fwCP9ovTq53aHAe20djE5G7kb-IaG5AbqM-DtAfts9P0U92_mN5c_uW8iheOcf8E-dthH-vw2l-zx5np7dZetH27vry7XmVVFlbK21KAxhwZLCbKzVlW1qhvdNVIK7BRRLaoONWnZWtSgkNpOFKK0TZ5LaNSSfZ3vjsH_OVBMZu8PYZgijSxULZTOC5gomCkbfIyBOjMG94Th2YAwpwbM3kwNmFMDZm5g8vyYPTS9f3QUTLSOBkutC2STab17x_0f_9mSIg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2639035461</pqid></control><display><type>article</type><title>Spatiotemporal variations of wetland backscatter: The role of water depth and vegetation characteristics in Sentinel-1 dual-polarization SAR observations</title><source>Elsevier ScienceDirect Journals</source><creator>Zhang, Boya ; Wdowinski, Shimon ; Gann, Daniel ; Hong, Sang-Hoon ; Sah, Jay</creator><creatorcontrib>Zhang, Boya ; Wdowinski, Shimon ; Gann, Daniel ; Hong, Sang-Hoon ; Sah, Jay</creatorcontrib><description>Synthetic Aperture Radar (SAR) backscatter observations are sensitive to hydrologic conditions and vegetation characteristics of land cover. This study conducted a high spatial-resolution investigation (30-m) on the response of dual-polarization C-band (5.6 cm wavelength) SAR backscatter coefficients (σ°) to temporal changes of surface water depth (dw) and spatial variations of vegetation characteristics in the south Florida Everglades wetlands. We investigated (1) linear relationships between σ° and dw values, and (2) the effects of vegetation density and morphology on σ°-dw relationships. We developed a new method to classify pixels with significant linear relationships of multi-temporal σ° and dw (R2 > 0.5 and p-value <0.04), which were termed “Reliable Scatterer” (RS). RS included positive, negative, and a combination of both positive and negative relationships (corresponding to RS+, RS−, RS±, respectively). Our analysis revealed spatially varying vegetation densities and morphologies had a significant impact on RS types, where we found RS+ type pixels for woody vegetation, RS± for a mix of medium- and high-density herbaceous vegetation using C-band VV (C-VV) data, and RS− for sparse herbaceous vegetation using C-VH data. Overall, our study indicates that C-band dual-polarization backscatter is sensitive to water-depth variations for some vegetation types, and this sensitivity has the potential to serve as a reliable indicator for monitoring water depth in wetland environments.
•Reliable scatterers (RS) are pixels with linear scattering-water depth relationships.•Three RS types correlations are positive, combined positive and negative, negative.•Linear scattering-water depth relations are explained with scattering mechanisms.•RS types are associated with polarization, vegetation density and morphology.•Sparse/medium dense Cladium, C-VH more sensitive to water depth changes than C-VV</description><identifier>ISSN: 0034-4257</identifier><identifier>EISSN: 1879-0704</identifier><identifier>DOI: 10.1016/j.rse.2021.112864</identifier><language>eng</language><publisher>New York: Elsevier Inc</publisher><subject>Backscatter ; Backscatter coefficient ; Backscattering ; C band ; Co-polarization ; Cross-polarization ; Density ; Dual polarization radar ; Everglades ; High spatial resolution ; Hydrologic observations ; Hydrology ; Land cover ; Land use ; Morphology ; Pixels ; Polarization ; Ridge-and-slough landscape ; SAR ; Scattering mechanisms ; Spatial variations ; Spatiotemporal variations ; Surface water ; Synthetic aperture radar ; Vegetation ; Vegetation density ; Vegetation effects ; Vegetation morphology ; Water depth ; Wetland hydrology ; Wetlands ; Woody plants</subject><ispartof>Remote sensing of environment, 2022-03, Vol.270, p.112864, Article 112864</ispartof><rights>2021 Elsevier Inc.</rights><rights>Copyright Elsevier BV Mar 1, 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c368t-d7515a41ba7212fcc38939b5fb220af3ee908fa5e52dca513aedf0607cb4421b3</citedby><cites>FETCH-LOGICAL-c368t-d7515a41ba7212fcc38939b5fb220af3ee908fa5e52dca513aedf0607cb4421b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0034425721005848$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,65309</link.rule.ids></links><search><creatorcontrib>Zhang, Boya</creatorcontrib><creatorcontrib>Wdowinski, Shimon</creatorcontrib><creatorcontrib>Gann, Daniel</creatorcontrib><creatorcontrib>Hong, Sang-Hoon</creatorcontrib><creatorcontrib>Sah, Jay</creatorcontrib><title>Spatiotemporal variations of wetland backscatter: The role of water depth and vegetation characteristics in Sentinel-1 dual-polarization SAR observations</title><title>Remote sensing of environment</title><description>Synthetic Aperture Radar (SAR) backscatter observations are sensitive to hydrologic conditions and vegetation characteristics of land cover. This study conducted a high spatial-resolution investigation (30-m) on the response of dual-polarization C-band (5.6 cm wavelength) SAR backscatter coefficients (σ°) to temporal changes of surface water depth (dw) and spatial variations of vegetation characteristics in the south Florida Everglades wetlands. We investigated (1) linear relationships between σ° and dw values, and (2) the effects of vegetation density and morphology on σ°-dw relationships. We developed a new method to classify pixels with significant linear relationships of multi-temporal σ° and dw (R2 > 0.5 and p-value <0.04), which were termed “Reliable Scatterer” (RS). RS included positive, negative, and a combination of both positive and negative relationships (corresponding to RS+, RS−, RS±, respectively). Our analysis revealed spatially varying vegetation densities and morphologies had a significant impact on RS types, where we found RS+ type pixels for woody vegetation, RS± for a mix of medium- and high-density herbaceous vegetation using C-band VV (C-VV) data, and RS− for sparse herbaceous vegetation using C-VH data. Overall, our study indicates that C-band dual-polarization backscatter is sensitive to water-depth variations for some vegetation types, and this sensitivity has the potential to serve as a reliable indicator for monitoring water depth in wetland environments.
•Reliable scatterers (RS) are pixels with linear scattering-water depth relationships.•Three RS types correlations are positive, combined positive and negative, negative.•Linear scattering-water depth relations are explained with scattering mechanisms.•RS types are associated with polarization, vegetation density and morphology.•Sparse/medium dense Cladium, C-VH more sensitive to water depth changes than C-VV</description><subject>Backscatter</subject><subject>Backscatter coefficient</subject><subject>Backscattering</subject><subject>C band</subject><subject>Co-polarization</subject><subject>Cross-polarization</subject><subject>Density</subject><subject>Dual polarization radar</subject><subject>Everglades</subject><subject>High spatial resolution</subject><subject>Hydrologic observations</subject><subject>Hydrology</subject><subject>Land cover</subject><subject>Land use</subject><subject>Morphology</subject><subject>Pixels</subject><subject>Polarization</subject><subject>Ridge-and-slough landscape</subject><subject>SAR</subject><subject>Scattering mechanisms</subject><subject>Spatial variations</subject><subject>Spatiotemporal variations</subject><subject>Surface water</subject><subject>Synthetic aperture radar</subject><subject>Vegetation</subject><subject>Vegetation density</subject><subject>Vegetation effects</subject><subject>Vegetation morphology</subject><subject>Water depth</subject><subject>Wetland hydrology</subject><subject>Wetlands</subject><subject>Woody plants</subject><issn>0034-4257</issn><issn>1879-0704</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kc1u2zAQhIkiBeo4fYDeCPQsl0uK-mlPQZA_wECA2jkTK2pV01VElaRdpG-St60c5ZzTArPf7CwwjH0BsQIBxbf9KkRaSSFhBSCrIv_AFlCVdSZKkZ-xhRAqz3Kpy0_sPMa9EKCrEhbsZTNicj7R0-gD9vyIwZ2EIXLf8b-Uehxa3qD9HS2mROE73-6IB9_TK4CTxFsa046fwCP9ovTq53aHAe20djE5G7kb-IaG5AbqM-DtAfts9P0U92_mN5c_uW8iheOcf8E-dthH-vw2l-zx5np7dZetH27vry7XmVVFlbK21KAxhwZLCbKzVlW1qhvdNVIK7BRRLaoONWnZWtSgkNpOFKK0TZ5LaNSSfZ3vjsH_OVBMZu8PYZgijSxULZTOC5gomCkbfIyBOjMG94Th2YAwpwbM3kwNmFMDZm5g8vyYPTS9f3QUTLSOBkutC2STab17x_0f_9mSIg</recordid><startdate>20220301</startdate><enddate>20220301</enddate><creator>Zhang, Boya</creator><creator>Wdowinski, Shimon</creator><creator>Gann, Daniel</creator><creator>Hong, Sang-Hoon</creator><creator>Sah, Jay</creator><general>Elsevier Inc</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SN</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7TG</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>KL.</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope></search><sort><creationdate>20220301</creationdate><title>Spatiotemporal variations of wetland backscatter: The role of water depth and vegetation characteristics in Sentinel-1 dual-polarization SAR observations</title><author>Zhang, Boya ; Wdowinski, Shimon ; Gann, Daniel ; Hong, Sang-Hoon ; Sah, Jay</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c368t-d7515a41ba7212fcc38939b5fb220af3ee908fa5e52dca513aedf0607cb4421b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Backscatter</topic><topic>Backscatter coefficient</topic><topic>Backscattering</topic><topic>C band</topic><topic>Co-polarization</topic><topic>Cross-polarization</topic><topic>Density</topic><topic>Dual polarization radar</topic><topic>Everglades</topic><topic>High spatial resolution</topic><topic>Hydrologic observations</topic><topic>Hydrology</topic><topic>Land cover</topic><topic>Land use</topic><topic>Morphology</topic><topic>Pixels</topic><topic>Polarization</topic><topic>Ridge-and-slough landscape</topic><topic>SAR</topic><topic>Scattering mechanisms</topic><topic>Spatial variations</topic><topic>Spatiotemporal variations</topic><topic>Surface water</topic><topic>Synthetic aperture radar</topic><topic>Vegetation</topic><topic>Vegetation density</topic><topic>Vegetation effects</topic><topic>Vegetation morphology</topic><topic>Water depth</topic><topic>Wetland hydrology</topic><topic>Wetlands</topic><topic>Woody plants</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Boya</creatorcontrib><creatorcontrib>Wdowinski, Shimon</creatorcontrib><creatorcontrib>Gann, Daniel</creatorcontrib><creatorcontrib>Hong, Sang-Hoon</creatorcontrib><creatorcontrib>Sah, Jay</creatorcontrib><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Ecology Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Remote sensing of environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Boya</au><au>Wdowinski, Shimon</au><au>Gann, Daniel</au><au>Hong, Sang-Hoon</au><au>Sah, Jay</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatiotemporal variations of wetland backscatter: The role of water depth and vegetation characteristics in Sentinel-1 dual-polarization SAR observations</atitle><jtitle>Remote sensing of environment</jtitle><date>2022-03-01</date><risdate>2022</risdate><volume>270</volume><spage>112864</spage><pages>112864-</pages><artnum>112864</artnum><issn>0034-4257</issn><eissn>1879-0704</eissn><abstract>Synthetic Aperture Radar (SAR) backscatter observations are sensitive to hydrologic conditions and vegetation characteristics of land cover. This study conducted a high spatial-resolution investigation (30-m) on the response of dual-polarization C-band (5.6 cm wavelength) SAR backscatter coefficients (σ°) to temporal changes of surface water depth (dw) and spatial variations of vegetation characteristics in the south Florida Everglades wetlands. We investigated (1) linear relationships between σ° and dw values, and (2) the effects of vegetation density and morphology on σ°-dw relationships. We developed a new method to classify pixels with significant linear relationships of multi-temporal σ° and dw (R2 > 0.5 and p-value <0.04), which were termed “Reliable Scatterer” (RS). RS included positive, negative, and a combination of both positive and negative relationships (corresponding to RS+, RS−, RS±, respectively). Our analysis revealed spatially varying vegetation densities and morphologies had a significant impact on RS types, where we found RS+ type pixels for woody vegetation, RS± for a mix of medium- and high-density herbaceous vegetation using C-band VV (C-VV) data, and RS− for sparse herbaceous vegetation using C-VH data. Overall, our study indicates that C-band dual-polarization backscatter is sensitive to water-depth variations for some vegetation types, and this sensitivity has the potential to serve as a reliable indicator for monitoring water depth in wetland environments.
•Reliable scatterers (RS) are pixels with linear scattering-water depth relationships.•Three RS types correlations are positive, combined positive and negative, negative.•Linear scattering-water depth relations are explained with scattering mechanisms.•RS types are associated with polarization, vegetation density and morphology.•Sparse/medium dense Cladium, C-VH more sensitive to water depth changes than C-VV</abstract><cop>New York</cop><pub>Elsevier Inc</pub><doi>10.1016/j.rse.2021.112864</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0034-4257 |
| ispartof | Remote sensing of environment, 2022-03, Vol.270, p.112864, Article 112864 |
| issn | 0034-4257 1879-0704 |
| language | eng |
| recordid | cdi_proquest_journals_2639035461 |
| source | Elsevier ScienceDirect Journals |
| subjects | Backscatter Backscatter coefficient Backscattering C band Co-polarization Cross-polarization Density Dual polarization radar Everglades High spatial resolution Hydrologic observations Hydrology Land cover Land use Morphology Pixels Polarization Ridge-and-slough landscape SAR Scattering mechanisms Spatial variations Spatiotemporal variations Surface water Synthetic aperture radar Vegetation Vegetation density Vegetation effects Vegetation morphology Water depth Wetland hydrology Wetlands Woody plants |
| title | Spatiotemporal variations of wetland backscatter: The role of water depth and vegetation characteristics in Sentinel-1 dual-polarization SAR observations |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-24T03%3A26%3A47IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Spatiotemporal%20variations%20of%20wetland%20backscatter:%20The%20role%20of%20water%20depth%20and%20vegetation%20characteristics%20in%20Sentinel-1%20dual-polarization%20SAR%20observations&rft.jtitle=Remote%20sensing%20of%20environment&rft.au=Zhang,%20Boya&rft.date=2022-03-01&rft.volume=270&rft.spage=112864&rft.pages=112864-&rft.artnum=112864&rft.issn=0034-4257&rft.eissn=1879-0704&rft_id=info:doi/10.1016/j.rse.2021.112864&rft_dat=%3Cproquest_cross%3E2639035461%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2639035461&rft_id=info:pmid/&rft_els_id=S0034425721005848&rfr_iscdi=true |