Evaluation of C-band SAR data for wetlands mapping

Baghdadi, Nicolas; Bernier, Monique; Gauthier, R.; Neeson, Ian

doi:10.1080/014311601750038857

Cited by 180 publications

(124 citation statements)

References 11 publications

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“…These results are generally consistent with those reported in the literature. Li et al (2012) reported that HH/HV was the best dual polarization for rice mapping, and Baghdadi et al (2001) found HV to be the best overall for wetland classification with both HH and HV better than VV. Hess, Melack, and Simonett (1990) also reported that HH or VV can Figure 7.…”

Section: Resultsmentioning

confidence: 99%

Compact polarimetry assessment for rice and wetland mapping

Brisco

Tedford

et al. 2012

International Journal of Remote Sensing

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Polarimetric RADARSAT-2 data of rice and wetlands are used to simulate compact polarimetry (CP) mode data from the upcoming RADARSAT Constellation Mission (RCM). The simulated CP data are then used to evaluate the information content for rice and wetland mapping using supervised classification, and the results are compared for linear and circular polarization combinations and polarimetric decompositions from the fully polarimetric data and the simulated CP data. The results are consistent for both rice and wetlands and show that the classification accuracy increases as one goes up the polarization hierarchy. The circular polarizations produced the best classification results for the polarization combinations. This result requires further research to verify. Although the CP data did not perform as well as the fully polarimetric data, the results were better than for dual polarization, and this mode may offer the best option for rice and wetland mapping applications because of swath coverage. Note that both the compact simulations and the fully polarimetric data produced operationally suitable classification accuracies. Additional research is underway to evaluate the monitoring capability of this new CP mode. This article describes the approach used for the analyses and the classification results for both rice and wetlands.

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Section: Resultsmentioning

confidence: 99%

Compact polarimetry assessment for rice and wetland mapping

Brisco

Tedford

et al. 2012

International Journal of Remote Sensing

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“…The availability of fully polarimetric SAR (HH/HV/VH/VV channels) could provide additional information on the structure and moisture of the vegetation, thus improving the utility of SAR data for wetland mapping [1,10,11]. However, the sources of fully polarimetric spaceborne SAR data are limited to the C-band Radarsat-2 and the L-band ALOS-PALSAR.…”

Section: Introductionmentioning

confidence: 99%

Wetland Mapping Using SAR Data from the Sentinel-1A and TanDEM-X Missions: A Comparative Study in the Biebrza Floodplain (Poland)

Mleczko

Mróz

2018

Remote Sensing

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This research is related to the eco-hydrological problems of the herbaceous wetland drying and biodiversity loss in the floodplain lakes of the Middle Basin of the Biebrza River (Poland). An experiment was set up, with its main goals as follows: (i) mapping the vegetation types and the temporarily or permanently flooded areas, and (ii) comparing the usefulness of the C-band Sentinel-1A (S1A) and X-band TerraSAR-X/TanDEM-X (TSX/TDX) for mapping purposes. The S1A imagery was acquired on a regular basis using the dual polarization VV/VH and the Interferometric Wide Swath Mode. The TSX/TDX data were acquired in quad-pol, a fully polarimetric mode, during the Science Phase. The paper addresses the following aspects: (i) wetland mapping with the S1A multi-temporal series; (ii) wetland mapping with the fully polarimetric TSX/TDX data; (iii) comparing the wetland mapping using dual polarization TSX/TDX subsets, that is, the HH-HV, HH-VV and VV-VH; (iv) comparing wetland mapping using the S1A and TSX/TDX data based on the same polarization (VV-VH); (v) studying the suitability of the Shannon Entropy for wetland mapping; and (vi) assessing the contribution of interferometric coherence for wetland classification. Though the experimental results show the main limitations of the S1A dataset, they also highlight the good accuracy that can be achieved using the TSX/TDX data, especially those taken in fully polarimetric mode. Some practical outcomes significant for the study area management using SAR were also described.

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“…Several researchers have evaluated the utility of SAR for wetland mapping using single and multi-date single channel SAR data [16][17][18], and others have evaluated polarimetric SAR [19][20][21][22][23]. The horizontal send and horizontal receive (HH) polarization of SAR systems have long been known to improve distinction of swamp from other wetland classes and uplands [9,10,19,24,25] due to an enhanced double bounce effect from the water surface to the tree trunks and back to the sensor (or vice versa). Non-flooded forests have more diffuse scatter from the ground surface, and less energy is returned to the SAR sensor than for flooded forests.…”

Section: Introductionmentioning

confidence: 99%

Development of a Bi-National Great Lakes Coastal Wetland and Land Use Map Using Three-Season PALSAR and Landsat Imagery

et al. 2015

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Methods using extensive field data and three-season Landsat TM and PALSAR imagery were developed to map wetland type and identify potential wetland stressors (i.e., adjacent land use) for the United States and Canadian Laurentian coastal Great Lakes. The mapped area included the coastline to 10 km inland to capture the region hydrologically connected to the Great Lakes. Maps were developed in cooperation with the overarching Great Lakes Consortium plan to provide a comprehensive regional baseline map suitable for coastal wetland assessment and management by agencies at the local, tribal, state, and federal levels. The goal was to provide not only land use and land cover (LULC) baseline data at moderate spatial resolution (20-30 m), but a repeatable methodology to monitor change into the future. The prime focus was on mapping wetland ecosystem types, such as emergent wetland and forested wetland, as well as to delineate wetland monocultures (Typha, OPEN ACCESSRemote Sens. 2015, 7 8656Phragmites, Schoenoplectus) and differentiate peatlands (fens and bogs) from other wetland types. The overall accuracy for the coastal Great Lakes map of all five lake basins was 94%, with a range of 86% to 96% by individual lake basin (Huron, Ontario, Michigan, Erie and Superior).

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Evaluation of C-band SAR data for wetlands mapping

Cited by 180 publications

References 11 publications

Compact polarimetry assessment for rice and wetland mapping

Compact polarimetry assessment for rice and wetland mapping

Wetland Mapping Using SAR Data from the Sentinel-1A and TanDEM-X Missions: A Comparative Study in the Biebrza Floodplain (Poland)

Development of a Bi-National Great Lakes Coastal Wetland and Land Use Map Using Three-Season PALSAR and Landsat Imagery

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