application of sar in mapping and monitoring wetlands
TRANSCRIPT
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Application of SAR in mapping and monitoring wetlands
Vaibhav GuptaS3304216
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Wetlands
SAR
Case Study
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What are wetlands?
• It is an area of land whose soil is saturated with moisture either permanently or seasonally• Commonly called as marshes, swamps and bogs• Considered the most biologically diverse ecosystem• Unique characteristics of wetlands:WaterHydric soilHydrophytic vegetation
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World wide distribution of wetlands
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Prevent flooding
& erosion
Water purificati
on
Sediment trapping
& Nutrient removal
Climate change
Ground-water
recharge
Wildlife
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What is SAR?
• Synthetic Aperture Radar- remote sensing technology
• Form of RADAR in which multiple radar images are processed to yield higher-resolution images
• Used to monitor natural disasters• Wide applications in mapping
environmental features
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Low atmospheric attenuation•Microwave frequencies•Penetrate cloud, fog and haze
High resolution imagery•10 cm resolution
Sensitivity•Soil moisture & flooding•Vegetation differentiation
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CASE STUDY: SPACE-BORNE SAR DATA FOR WETLAND MAPPING
Test the abilities of multi-frequency SAR data for wetland delineation & vegetation mapping
To evaluate the utility of the six band SIR-C data (L-HH, L-HV, L-VV, C-HH, C-HV, C-VV)
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STUDY AREA
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VEGETATION CLASSIFICATION & ACCURACY ASSESSMENTS
Maximum Likelihood Classifier (MLC)
Hierarchical Classifier (HC)
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Rappahannock- MLCMRLC April October
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Rappahannock
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Mattaponi & Pamunkey
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Rappahannock- HCMRLC April October
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RESULTSL-HV was consistently the best band for
differentiation of woody and herbaceous
vegetation.
L-HH was the most useful band for differentiating forested wetland from upland forest in all cases except the
October Rappahannock Image. This is probably because most of the forested
wetland sites were not flooded in October on the Rappahannock.
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CONCLUSIONMulti-band SAR data can be used to map wetlands with reasonable accuracy. Since MLC approach is simpler and available to a wide array of potential users, it would be the method of choice.
L-HV was determined to be the best band for discriminating forested wetland from upland forest, and C-HH was the best for discriminating emergent wetlands from agriculture.
The best method for vegetation mapping would probably be a synergistic approach between visible and SAR data.
Results also show the need for multi-polarization/multi-frequency SAR data for a complete wetland mapping and monitoring capability. HH polarization was found to be the most useful for detecting wetlands while L-band for discriminating flooded from non-flooded forests.
C band was best for discriminating emergent wetlands from agriculture and herbaceous uplands.
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REFERENCESBAGHDADI, N., BERNIER, M., GAUTHIER, R. & NEESON, I. (2001) Evaluation of C-band SAR data for wetlands mapping. International Journal of Remote Sensing, 22, 71-88.BOURGEAU-CHAVEZ, L., KASISCHKE, E., BRUNZELL, S., MUDD, J., SMITH, K. & FRICK, A. (2001) Analysis of space-borne SAR data for wetland mapping in Virginia riparian ecosystems. International Journal of Remote Sensing, 22, 3665-3687.CHIEW, F., SRIKANTHAN, R., FROST, A. & PAYNE, E. (2005) Reliability of daily and annual stochastic rainfall data generated from different data lengths and data characteristics. MOD-SIM2005. Melbourne.DWIVEDI, R., RAO, B. & BHATTACHARYA, S. (1999) Mapping wetlands of the Sundaban Delta and it s environs using ERS-1 SAR data. International Journal of Remote Sensing, 20, 2235-2247.GRINGS, F., FERRAZZOLI, P., KARSZENBAUM, H., SALVIA, M., KANDUS, P., JACOBO-BERLLES, J. & PERNA, P. (2008) Model investigation about the potential of C band SAR in herbaceous wetlands flood monitoring. International Journal of Remote Sensing, 29, 17, 5361-5372.KASISCHKE, E. & BOURGEAU-CHAVEZ, L. (1997) Monitoring South Florida wetlands using ERS-1 SAR imagery. Photogrammetric Engineering and Remote Sensing, 63, 281-291.LANG, M., KASISCHKE, E., PRINCE, S. & PITTMAN, K. (2008) Assessment of C-band synthetic aperture radar data for mapping and monitoring Coastal Plain forested wetlands in the Mid-Atlantic Region, USA. Remote Sensing of Environment, 112, 4120-4130.RAO, B., DWIVEDI, R., KUSHWAHA, S., BHATTACHARYA, S., ANAND, J. & DASGUPTA, S. (1999) Monitoring the spatial extent of coastal wetlands using ERS-1 SAR data. International Journal of Remote Sensing, 20, 2509-2517.TOWNSEND, P. (2001) Mapping seasonal flooding in forested wetlands using multi-temporal Radarsat SAR. Photogrammetric Engineering and Remote Sensing, 67, 857-864.TOWNSEND, P. (2002a) Estimating forest structure in wetlands using multitemporal SAR. Remote Sensing of Environment, 79, 288-304.TOWNSEND, P. (2002b) Relationships between forest structure and the detection of flood inundation in forested wetlands using C-band SAR. International Journal of Remote Sensing, 23, 443-460.WDOWINSKI, S., KIM, S., AMELUNG, F., DIXON, T., MIRALLES-WILHELM, F. & SONENSHEIN, R. (2008) Space-based detection of wetlands' surface water level changes from L-band SAR interferometry. Remote Sensing of Environment, 112, 681-696.
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THANK YOU
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