Inundation discriminated using sun glint
Inundation is linked to water, carbon, and energy budgets at landscape to global scales. We describe a new remote-sensing technique for identifying inundated areas based on the properties of the glitter-the strong, angular signature reflection that is characteristic of surface water and uncharacteri...
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Veröffentlicht in: | IEEE transactions on geoscience and remote sensing 2002-06, Vol.40 (6), p.1279-1287 |
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creator | Vanderbilt, V.C. Perry, G.L. Livingston, G.P. Ustin, S.L. Diax Barrios, M.C. Breon, F.-M. Leroy, M.M. Balois, J.-Y. Morrissey, L.A. Shewchuk, S.R. Stearn, J.A. Zedler, S.E. Syder, J.L. Bouffies-Cloche, S. Herman, M. |
description | Inundation is linked to water, carbon, and energy budgets at landscape to global scales. We describe a new remote-sensing technique for identifying inundated areas based on the properties of the glitter-the strong, angular signature reflection that is characteristic of surface water and uncharacteristic of other cover types. We discriminated three cover types-vegetation emergent above inundated soils, open water, and noninundated cover types-from analysis of directional data collected in the red spectral band by the airborne POLDER (Polarization and Directionality of Earth's Reflectance) sensor. We found that values of the normalized difference vegetation index (NDVI) decreased dramatically in the glitter direction, providing an indication of surface water. Application of our new technique holds promise for mapping the seasonal and interannual extent of inundation, a key descriptor of wetlands hydrology. |
doi_str_mv | 10.1109/TGRS.2002.800233 |
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We describe a new remote-sensing technique for identifying inundated areas based on the properties of the glitter-the strong, angular signature reflection that is characteristic of surface water and uncharacteristic of other cover types. We discriminated three cover types-vegetation emergent above inundated soils, open water, and noninundated cover types-from analysis of directional data collected in the red spectral band by the airborne POLDER (Polarization and Directionality of Earth's Reflectance) sensor. We found that values of the normalized difference vegetation index (NDVI) decreased dramatically in the glitter direction, providing an indication of surface water. Application of our new technique holds promise for mapping the seasonal and interannual extent of inundation, a key descriptor of wetlands hydrology.</description><identifier>ISSN: 0196-2892</identifier><identifier>EISSN: 1558-0644</identifier><identifier>DOI: 10.1109/TGRS.2002.800233</identifier><identifier>CODEN: IGRSD2</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Airborne sensing ; Applied geophysics ; Carbon ; Continental interfaces, environment ; Data analysis ; Earth ; Earth sciences ; Earth, ocean, space ; Engineering and environment geology. 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(IEEE) 2002</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c477t-afcdfeb9514f2604779e8540847486d0a0b550c65bcac7215a87c4afd02805c93</citedby><cites>FETCH-LOGICAL-c477t-afcdfeb9514f2604779e8540847486d0a0b550c65bcac7215a87c4afd02805c93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1020260$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>230,314,776,780,792,881,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1020260$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=13804286$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-03121011$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Vanderbilt, V.C.</creatorcontrib><creatorcontrib>Perry, G.L.</creatorcontrib><creatorcontrib>Livingston, G.P.</creatorcontrib><creatorcontrib>Ustin, S.L.</creatorcontrib><creatorcontrib>Diax Barrios, M.C.</creatorcontrib><creatorcontrib>Breon, F.-M.</creatorcontrib><creatorcontrib>Leroy, M.M.</creatorcontrib><creatorcontrib>Balois, J.-Y.</creatorcontrib><creatorcontrib>Morrissey, L.A.</creatorcontrib><creatorcontrib>Shewchuk, S.R.</creatorcontrib><creatorcontrib>Stearn, J.A.</creatorcontrib><creatorcontrib>Zedler, S.E.</creatorcontrib><creatorcontrib>Syder, J.L.</creatorcontrib><creatorcontrib>Bouffies-Cloche, S.</creatorcontrib><creatorcontrib>Herman, M.</creatorcontrib><title>Inundation discriminated using sun glint</title><title>IEEE transactions on geoscience and remote sensing</title><addtitle>TGRS</addtitle><description>Inundation is linked to water, carbon, and energy budgets at landscape to global scales. We describe a new remote-sensing technique for identifying inundated areas based on the properties of the glitter-the strong, angular signature reflection that is characteristic of surface water and uncharacteristic of other cover types. We discriminated three cover types-vegetation emergent above inundated soils, open water, and noninundated cover types-from analysis of directional data collected in the red spectral band by the airborne POLDER (Polarization and Directionality of Earth's Reflectance) sensor. We found that values of the normalized difference vegetation index (NDVI) decreased dramatically in the glitter direction, providing an indication of surface water. 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We describe a new remote-sensing technique for identifying inundated areas based on the properties of the glitter-the strong, angular signature reflection that is characteristic of surface water and uncharacteristic of other cover types. We discriminated three cover types-vegetation emergent above inundated soils, open water, and noninundated cover types-from analysis of directional data collected in the red spectral band by the airborne POLDER (Polarization and Directionality of Earth's Reflectance) sensor. We found that values of the normalized difference vegetation index (NDVI) decreased dramatically in the glitter direction, providing an indication of surface water. Application of our new technique holds promise for mapping the seasonal and interannual extent of inundation, a key descriptor of wetlands hydrology.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TGRS.2002.800233</doi><tpages>9</tpages></addata></record> |
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subjects | Airborne sensing Applied geophysics Carbon Continental interfaces, environment Data analysis Earth Earth sciences Earth, ocean, space Engineering and environment geology. Geothermics Exact sciences and technology Hydrology Internal geophysics Inundation Natural hazards: prediction, damages, etc Ocean, Atmosphere Polarization Reflection Reflectivity Remote sensing Sciences of the Universe Sensor phenomena and characterization Signatures Soil Soils Sun Surface water Vegetation Water |
title | Inundation discriminated using sun glint |
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