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Pulvirenti_IGARSS2011.ppt
1. Combined use of Electromagnetic Scattering Models, Fuzzy Logic and Mathematical Morphology for Flood Mapping from COSMO-SkyMED data L. Pulvirenti 1 , M. Chini 2 , N. Pierdicca 1 , L. Guerriero 3 (1) Sapienza, University of Rome (2) Istituto Nazionale di Geofisica e Vulcanologia (3) Tor Vergata University of Rome
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9. Multitemporal analysis Tanaro river overflow . RGB color composite of the CSK observations of the flood Red : April, 29 2009 Green : April, 30 2009 Blue : May, 1 2009 NDVI map ( AVNIR-2 image acquired on April 23, 2009 ) bare vege t ated vegetated Mean ( 0 ) [dB] April, 29 April, 30 May, 1 May, 16 dry
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13. Segmentation results Tanaro flood: original images RGB color composite (3500x5000 pixels) Red : April 29, 2009 Green : April 30, 2009 Blue : May 1, 2009 Tanaro flood: segmented image ~ 8000 objects
We describe an algorithm for flood mapping from SAR (particulrly CSK) that uses ……
Among EO data we focused on those provided by SAR because ….
Which are the motivations of this combined use of …. Flood mapping in vegetated areas is a challenging problem that can be tackeld by simulating the radar return under flooded conditions by means …. Since defining a criterion of membership to the class of flooded pixels is a difficult task especially in the presence of vegetation, the fuzzy ogic is suitable for designing an algorithm for flood mapping because it intrinsically accounts for .. We focus on the high res. CSK images whose spatail
Included an image acquired under non-flooded conditions integrate, in the classification algorithm, … In both cases a relevant portion of the flooded areas were covered by vegetation
Dilation adds pixels to the boundaries of objects in an image, while erosion removes pixels on object boundaries. The number of pixels added or removed from the objects in an image depends on the size and shape of the structuring element used to process the image. Both the opening and the closing operators have the effect of smoothing the image, with the opening operation removing pixels, and the closing operation adding pixels The closing operator smooths contours, links neighboring features, and fills small gaps or holes. The opening operation removes noise from an image while maintaining the sizes of objects in the foreground. Opening is a useful process for smoothing contours, removing pixel noise, eliminating narrow extensions, and breaking thin links between features. The function of opening is to dilate an eroded image in order to recover as much as possible of the original image. On the contrary, the function of closing is to erode a dilated image in order to recover the initial shape of image structures that have been dilated
Parameters of the fuzzy funcions are the fuzzy thresholds
This the radar return simulated by the selected EM model under dry conditions (for different smc) and under flooded conditions
For a 70 cm tall wheat plant this is the increase of radar return predicted by the model (4 dB) so that we can use the S function and if the increase of sigma0 is larger than 4 dB the degree of mebership to the class of flooded areas is 1. To evaluate this increase we need a SAR image under dry conditions
For bare soils the increase is due to the transition from a flooded soil to a very humid sol (SMC around saturation)
For vegetated soils we can rely again on em simulations If the emerging part of the plant is small the scattering center moves toward the upper part of the stem and the above vegetation attenuating layer becomes thinner
To account fo the previous considerations (outcomes of the simulations) we can use the fuzzy logic
We do not have any ground truth data but we went in the Tamaro river area one month after the flood to get information about this event so that we know that these areas were actually flooded
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