The goal of this study is the evaluation of DSMs extracted from high resolution satellite stereo pairs for their application in hydraulic hazard analysis, which studies the outflow of water after river floods and downpours. The investigation has been carried out on a GeoEye-1 stereo pair acquired in a rural area in the province of Ferrara (Northeastern Italy, near the Reno river) on March 2010. Both the stereo orientation and the image matching and DSMs extraction have been performed with the commercial software PCI Geomatics OrthoEngine v10.3 and with the scientific software SISAR, developed at La Sapienza University of Rome, using both the Panchromatic pair and the NIR one trying to improve the matching step. To evaluate the DSMs accuracy, areas with different land cover have been selected, in order to identify critical zones with low mean accuracy which may introduce significant errors in hydraulic modeling. All the generated DSMs have been compared with a reference DSM derived from a re-cent photogrammetric flight, with an accuracy (height RMSE) of about 0.8m in the rural area.
Accuracy evaluation of DSMs extracted from a GeoEye-1 stereo pair over flat rural areas for hydraulic hazard analysis
FURINI, Alessio;PELLEGRINELLI, Alberto
2010
Abstract
The goal of this study is the evaluation of DSMs extracted from high resolution satellite stereo pairs for their application in hydraulic hazard analysis, which studies the outflow of water after river floods and downpours. The investigation has been carried out on a GeoEye-1 stereo pair acquired in a rural area in the province of Ferrara (Northeastern Italy, near the Reno river) on March 2010. Both the stereo orientation and the image matching and DSMs extraction have been performed with the commercial software PCI Geomatics OrthoEngine v10.3 and with the scientific software SISAR, developed at La Sapienza University of Rome, using both the Panchromatic pair and the NIR one trying to improve the matching step. To evaluate the DSMs accuracy, areas with different land cover have been selected, in order to identify critical zones with low mean accuracy which may introduce significant errors in hydraulic modeling. All the generated DSMs have been compared with a reference DSM derived from a re-cent photogrammetric flight, with an accuracy (height RMSE) of about 0.8m in the rural area.I documenti in SFERA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
