Detecting the spatiotemporal changes of tidal flood in the estuarine wetland by using MODIS time series data
This study was conducted to develop a novel technique of monitoring tidal floods and their spatiotemporal dynamics using a time series combination of the MODIS vegetation indices (VIs). The vegetation indices, which included the enhanced vegetation index (EVI), land surface water index (LSWI) and th...
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| Veröffentlicht in: | Journal of hydrology (Amsterdam) 2010-04, Vol.384 (1), p.156-163 |
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| creator | Yan, Yan-Er Ouyang, Zu-Tao Guo, Hai-Qiang Jin, Shu-Song Zhao, Bin |
| description | This study was conducted to develop a novel technique of monitoring tidal floods and their spatiotemporal dynamics using a time series combination of the MODIS vegetation indices (VIs). The vegetation indices, which included the enhanced vegetation index (EVI), land surface water index (LSWI) and the difference in the values of EVI and LSWI (DVEL), were extracted from MODIS datasets with a spatial resolution of 500
m from 2001 to 2006. The technique first employed a wavelet-analysis to reduce the noise component of the time series of VIs, after which the smoothed time profiles were used to identify the spatiotemporal changes in tidal flood effects on estuarine wetland from islands to sea front. We found that combined application of EVI, LSWI and DVEL was suitable for monitoring flood inundation and recording flood dynamics and vegetation succession. Our approach takes advantage of both the flooded soils and canopy characteristics of vegetation during the tidal cycle and vegetation growth phases. The results of this study demonstrate the potential for the use of MODIS data for temporal and spatial detection of tidal flood effects in estuarine wetlands. |
| doi_str_mv | 10.1016/j.jhydrol.2010.01.019 |
| format | Article |
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m from 2001 to 2006. The technique first employed a wavelet-analysis to reduce the noise component of the time series of VIs, after which the smoothed time profiles were used to identify the spatiotemporal changes in tidal flood effects on estuarine wetland from islands to sea front. We found that combined application of EVI, LSWI and DVEL was suitable for monitoring flood inundation and recording flood dynamics and vegetation succession. Our approach takes advantage of both the flooded soils and canopy characteristics of vegetation during the tidal cycle and vegetation growth phases. The results of this study demonstrate the potential for the use of MODIS data for temporal and spatial detection of tidal flood effects in estuarine wetlands.</description><identifier>ISSN: 0022-1694</identifier><identifier>EISSN: 1879-2707</identifier><identifier>DOI: 10.1016/j.jhydrol.2010.01.019</identifier><identifier>CODEN: JHYDA7</identifier><language>eng</language><publisher>Kidlington: Elsevier B.V</publisher><subject>Brackish ; canopy ; Dynamics ; Earth sciences ; Earth, ocean, space ; Estuaries ; Estuarine wetland ; EVI ; Exact sciences and technology ; Floods ; Hydrology. Hydrogeology ; islands ; LSWI ; moderate resolution imaging spectroradiometer ; MODIS ; monitoring ; remote sensing ; soil ; spatial data ; surface water ; Tidal floods ; tides ; Time series ; time series analysis ; Vegetation ; Wavelet-analysis ; Wetlands</subject><ispartof>Journal of hydrology (Amsterdam), 2010-04, Vol.384 (1), p.156-163</ispartof><rights>2010 Elsevier B.V.</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c461t-ced92d1dc7f5ab2c4c719448a210889d9b9f7d3fba7421f2084850ec3c2b7d123</citedby><cites>FETCH-LOGICAL-c461t-ced92d1dc7f5ab2c4c719448a210889d9b9f7d3fba7421f2084850ec3c2b7d123</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S002216941000051X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22533157$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Yan, Yan-Er</creatorcontrib><creatorcontrib>Ouyang, Zu-Tao</creatorcontrib><creatorcontrib>Guo, Hai-Qiang</creatorcontrib><creatorcontrib>Jin, Shu-Song</creatorcontrib><creatorcontrib>Zhao, Bin</creatorcontrib><title>Detecting the spatiotemporal changes of tidal flood in the estuarine wetland by using MODIS time series data</title><title>Journal of hydrology (Amsterdam)</title><description>This study was conducted to develop a novel technique of monitoring tidal floods and their spatiotemporal dynamics using a time series combination of the MODIS vegetation indices (VIs). The vegetation indices, which included the enhanced vegetation index (EVI), land surface water index (LSWI) and the difference in the values of EVI and LSWI (DVEL), were extracted from MODIS datasets with a spatial resolution of 500
m from 2001 to 2006. The technique first employed a wavelet-analysis to reduce the noise component of the time series of VIs, after which the smoothed time profiles were used to identify the spatiotemporal changes in tidal flood effects on estuarine wetland from islands to sea front. We found that combined application of EVI, LSWI and DVEL was suitable for monitoring flood inundation and recording flood dynamics and vegetation succession. Our approach takes advantage of both the flooded soils and canopy characteristics of vegetation during the tidal cycle and vegetation growth phases. The results of this study demonstrate the potential for the use of MODIS data for temporal and spatial detection of tidal flood effects in estuarine wetlands.</description><subject>Brackish</subject><subject>canopy</subject><subject>Dynamics</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Estuaries</subject><subject>Estuarine wetland</subject><subject>EVI</subject><subject>Exact sciences and technology</subject><subject>Floods</subject><subject>Hydrology. Hydrogeology</subject><subject>islands</subject><subject>LSWI</subject><subject>moderate resolution imaging spectroradiometer</subject><subject>MODIS</subject><subject>monitoring</subject><subject>remote sensing</subject><subject>soil</subject><subject>spatial data</subject><subject>surface water</subject><subject>Tidal floods</subject><subject>tides</subject><subject>Time series</subject><subject>time series analysis</subject><subject>Vegetation</subject><subject>Wavelet-analysis</subject><subject>Wetlands</subject><issn>0022-1694</issn><issn>1879-2707</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNqFkU1rGzEQhkVpoW6Sn1C6l9LTuvpaa3UqJelHICGHJGehlUa2zHrlSnKK_31na9NrxYBgeOadl3cIec_oklG2-rxdbjdHn9O45BR7lGHpV2TBeqVbrqh6TRaUct6ylZZvybtSthSfEHJBxhuo4Gqc1k3dQFP2tsZUYbdP2Y6N29hpDaVJoanRYyOMKfkmTn9hKPVgc5yg-Q11tJNvhmNzKLPW_cPN7SPO7FASckQJb6u9JG-CHQtcnf8L8vz929P1z_bu4cft9de71skVq60Dr7ln3qnQ2YE76RTTUvaWM9r32utBB-VFGKySnAVOe9l3FJxwfFCecXFBPp109zn9OqBNs4vFwYgeIR2KUbhGKikVkt2JdDmVkiGYfY47m4-GUTOHa7bmHK6ZwzWUYWmc-3jeYIuzY8h2crH8G-a8E4J1s_6HExdsMnadkXl-RCFBWc8EpzPx5UQABvISIZviIkyYQcx4GONT_I-XP8synKs</recordid><startdate>20100415</startdate><enddate>20100415</enddate><creator>Yan, Yan-Er</creator><creator>Ouyang, Zu-Tao</creator><creator>Guo, Hai-Qiang</creator><creator>Jin, Shu-Song</creator><creator>Zhao, Bin</creator><general>Elsevier B.V</general><general>[Amsterdam; New York]: Elsevier</general><general>Elsevier</general><scope>FBQ</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20100415</creationdate><title>Detecting the spatiotemporal changes of tidal flood in the estuarine wetland by using MODIS time series data</title><author>Yan, Yan-Er ; Ouyang, Zu-Tao ; Guo, Hai-Qiang ; Jin, Shu-Song ; Zhao, Bin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c461t-ced92d1dc7f5ab2c4c719448a210889d9b9f7d3fba7421f2084850ec3c2b7d123</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Brackish</topic><topic>canopy</topic><topic>Dynamics</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Estuaries</topic><topic>Estuarine wetland</topic><topic>EVI</topic><topic>Exact sciences and technology</topic><topic>Floods</topic><topic>Hydrology. Hydrogeology</topic><topic>islands</topic><topic>LSWI</topic><topic>moderate resolution imaging spectroradiometer</topic><topic>MODIS</topic><topic>monitoring</topic><topic>remote sensing</topic><topic>soil</topic><topic>spatial data</topic><topic>surface water</topic><topic>Tidal floods</topic><topic>tides</topic><topic>Time series</topic><topic>time series analysis</topic><topic>Vegetation</topic><topic>Wavelet-analysis</topic><topic>Wetlands</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yan, Yan-Er</creatorcontrib><creatorcontrib>Ouyang, Zu-Tao</creatorcontrib><creatorcontrib>Guo, Hai-Qiang</creatorcontrib><creatorcontrib>Jin, Shu-Song</creatorcontrib><creatorcontrib>Zhao, Bin</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Journal of hydrology (Amsterdam)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yan, Yan-Er</au><au>Ouyang, Zu-Tao</au><au>Guo, Hai-Qiang</au><au>Jin, Shu-Song</au><au>Zhao, Bin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Detecting the spatiotemporal changes of tidal flood in the estuarine wetland by using MODIS time series data</atitle><jtitle>Journal of hydrology (Amsterdam)</jtitle><date>2010-04-15</date><risdate>2010</risdate><volume>384</volume><issue>1</issue><spage>156</spage><epage>163</epage><pages>156-163</pages><issn>0022-1694</issn><eissn>1879-2707</eissn><coden>JHYDA7</coden><abstract>This study was conducted to develop a novel technique of monitoring tidal floods and their spatiotemporal dynamics using a time series combination of the MODIS vegetation indices (VIs). 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m from 2001 to 2006. The technique first employed a wavelet-analysis to reduce the noise component of the time series of VIs, after which the smoothed time profiles were used to identify the spatiotemporal changes in tidal flood effects on estuarine wetland from islands to sea front. We found that combined application of EVI, LSWI and DVEL was suitable for monitoring flood inundation and recording flood dynamics and vegetation succession. Our approach takes advantage of both the flooded soils and canopy characteristics of vegetation during the tidal cycle and vegetation growth phases. The results of this study demonstrate the potential for the use of MODIS data for temporal and spatial detection of tidal flood effects in estuarine wetlands.</abstract><cop>Kidlington</cop><pub>Elsevier B.V</pub><doi>10.1016/j.jhydrol.2010.01.019</doi><tpages>8</tpages></addata></record> |
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| subjects | Brackish canopy Dynamics Earth sciences Earth, ocean, space Estuaries Estuarine wetland EVI Exact sciences and technology Floods Hydrology. Hydrogeology islands LSWI moderate resolution imaging spectroradiometer MODIS monitoring remote sensing soil spatial data surface water Tidal floods tides Time series time series analysis Vegetation Wavelet-analysis Wetlands |
| title | Detecting the spatiotemporal changes of tidal flood in the estuarine wetland by using MODIS time series data |
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