Evaluation of Polarimetric SAR Decomposition for Classifying Wetland Vegetation Types
The Florida Everglades is the largest subtropical wetland system in the United States and, as with subtropical and tropical wetlands elsewhere, has been threatened by severe environmental stresses. It is very important to monitor such wetlands to inform management on the status of these fragile ecos...
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| Format: | Article |
| Language: | English |
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MDPI AG
2015-07-01
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| Series: | Remote Sensing |
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| Online Access: | http://www.mdpi.com/2072-4292/7/7/8563 |
| _version_ | 1818262554316636160 |
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| author | Sang-Hoon Hong Hyun-Ok Kim Shimon Wdowinski Emanuelle Feliciano |
| author_facet | Sang-Hoon Hong Hyun-Ok Kim Shimon Wdowinski Emanuelle Feliciano |
| author_sort | Sang-Hoon Hong |
| collection | DOAJ |
| description | The Florida Everglades is the largest subtropical wetland system in the United States and, as with subtropical and tropical wetlands elsewhere, has been threatened by severe environmental stresses. It is very important to monitor such wetlands to inform management on the status of these fragile ecosystems. This study aims to examine the applicability of TerraSAR-X quadruple polarimetric (quad-pol) synthetic aperture radar (PolSAR) data for classifying wetland vegetation in the Everglades. We processed quad-pol data using the Hong & Wdowinski four-component decomposition, which accounts for double bounce scattering in the cross-polarization signal. The calculated decomposition images consist of four scattering mechanisms (single, co- and cross-pol double, and volume scattering). We applied an object-oriented image analysis approach to classify vegetation types with the decomposition results. We also used a high-resolution multispectral optical RapidEye image to compare statistics and classification results with Synthetic Aperture Radar (SAR) observations. The calculated classification accuracy was higher than 85%, suggesting that the TerraSAR-X quad-pol SAR signal had a high potential for distinguishing different vegetation types. Scattering components from SAR acquisition were particularly advantageous for classifying mangroves along tidal channels. We conclude that the typical scattering behaviors from model-based decomposition are useful for discriminating among different wetland vegetation types. |
| first_indexed | 2024-12-12T19:04:58Z |
| format | Article |
| id | doaj.art-55284eb69fdc47389d446fc7c4822213 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-12-12T19:04:58Z |
| publishDate | 2015-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-55284eb69fdc47389d446fc7c48222132022-12-22T00:14:58ZengMDPI AGRemote Sensing2072-42922015-07-01778563858510.3390/rs70708563rs70708563Evaluation of Polarimetric SAR Decomposition for Classifying Wetland Vegetation TypesSang-Hoon Hong0Hyun-Ok Kim1Shimon Wdowinski2Emanuelle Feliciano3Division of Polar Ocean Environment, Korea Polar Research Institute, 26 Songdomiraero, Yeonsugu, Incheon 406-840, KoreaSatellite Information Application Center, Korea Aerospace Research Institute, 169-84 Gwahakro, Yuseonggu, Daejeon 305-333, KoreaDepartment of Marine Geosciences, University of Miami, 4600 Rickenbacker Causeway, Miami, FL 33149, USADepartment of Marine Geosciences, University of Miami, 4600 Rickenbacker Causeway, Miami, FL 33149, USAThe Florida Everglades is the largest subtropical wetland system in the United States and, as with subtropical and tropical wetlands elsewhere, has been threatened by severe environmental stresses. It is very important to monitor such wetlands to inform management on the status of these fragile ecosystems. This study aims to examine the applicability of TerraSAR-X quadruple polarimetric (quad-pol) synthetic aperture radar (PolSAR) data for classifying wetland vegetation in the Everglades. We processed quad-pol data using the Hong & Wdowinski four-component decomposition, which accounts for double bounce scattering in the cross-polarization signal. The calculated decomposition images consist of four scattering mechanisms (single, co- and cross-pol double, and volume scattering). We applied an object-oriented image analysis approach to classify vegetation types with the decomposition results. We also used a high-resolution multispectral optical RapidEye image to compare statistics and classification results with Synthetic Aperture Radar (SAR) observations. The calculated classification accuracy was higher than 85%, suggesting that the TerraSAR-X quad-pol SAR signal had a high potential for distinguishing different vegetation types. Scattering components from SAR acquisition were particularly advantageous for classifying mangroves along tidal channels. We conclude that the typical scattering behaviors from model-based decomposition are useful for discriminating among different wetland vegetation types.http://www.mdpi.com/2072-4292/7/7/8563Polarimetric SAR (PolSAR)polarimetric decompositionTerraSAR-Xwetland vegetationsubtropical wetlandEverglades |
| spellingShingle | Sang-Hoon Hong Hyun-Ok Kim Shimon Wdowinski Emanuelle Feliciano Evaluation of Polarimetric SAR Decomposition for Classifying Wetland Vegetation Types Remote Sensing Polarimetric SAR (PolSAR) polarimetric decomposition TerraSAR-X wetland vegetation subtropical wetland Everglades |
| title | Evaluation of Polarimetric SAR Decomposition for Classifying Wetland Vegetation Types |
| title_full | Evaluation of Polarimetric SAR Decomposition for Classifying Wetland Vegetation Types |
| title_fullStr | Evaluation of Polarimetric SAR Decomposition for Classifying Wetland Vegetation Types |
| title_full_unstemmed | Evaluation of Polarimetric SAR Decomposition for Classifying Wetland Vegetation Types |
| title_short | Evaluation of Polarimetric SAR Decomposition for Classifying Wetland Vegetation Types |
| title_sort | evaluation of polarimetric sar decomposition for classifying wetland vegetation types |
| topic | Polarimetric SAR (PolSAR) polarimetric decomposition TerraSAR-X wetland vegetation subtropical wetland Everglades |
| url | http://www.mdpi.com/2072-4292/7/7/8563 |
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