The exploitation of the high revisit time (8-16 days) by the COSMO-SkyMed ® (CSK ® ) satellites is an important opportunity for agricultural mapping. This study aims at evaluating CSK ® potentiality to classify different crop types, with CSK ® multi-temporal images collected over the agricultural site of Marchfeld, in Austria. Two different time series of CSK ® HIMAGE SAR scenes, at 3m resolution, 9 at HH and 9 at VH polarization were taken during the vegetation season (from April to October 2014). CSK ® data were processed and analyzed to investigate crop signatures from CSK ® backscattering coefficient of five crop types, namely carrot, corn, potato, soybean and sugarbeet. In situ field observations were conducted during the SAR data acquisition. CKS ® data were overlaid with crop fields ground truth. A Support Vector Machine (SVM) classification method has been applied. The classification results yield very promising overall classification accuracies using the combination of HH and VH polarization.

Analysis of the potentiality of multi-temporal COSMO-SkyMed ® data for classifying summer crops / Guarini, Rocchina; Bruzzone, Lorenzo; Santoni, Massimo; Vuolo, Francesco; Dini, Luigi. - ELETTRONICO. - 2016:(2016), pp. 3170-3173. ((Intervento presentato al convegno 36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 tenutosi a Beijing nel July 10-15, 2016 [10.1109/IGARSS.2016.7729820].

Analysis of the potentiality of multi-temporal COSMO-SkyMed ® data for classifying summer crops

Bruzzone, Lorenzo;Santoni, Massimo;
2016

Abstract

The exploitation of the high revisit time (8-16 days) by the COSMO-SkyMed ® (CSK ® ) satellites is an important opportunity for agricultural mapping. This study aims at evaluating CSK ® potentiality to classify different crop types, with CSK ® multi-temporal images collected over the agricultural site of Marchfeld, in Austria. Two different time series of CSK ® HIMAGE SAR scenes, at 3m resolution, 9 at HH and 9 at VH polarization were taken during the vegetation season (from April to October 2014). CSK ® data were processed and analyzed to investigate crop signatures from CSK ® backscattering coefficient of five crop types, namely carrot, corn, potato, soybean and sugarbeet. In situ field observations were conducted during the SAR data acquisition. CKS ® data were overlaid with crop fields ground truth. A Support Vector Machine (SVM) classification method has been applied. The classification results yield very promising overall classification accuracies using the combination of HH and VH polarization.
2016 IEEE International Geoscience and Remote Sensing Symposium Proceedings
Piscataway, NJ
Institute of Electrical and Electronics Engineers Inc.
9781509033324
Guarini, Rocchina; Bruzzone, Lorenzo; Santoni, Massimo; Vuolo, Francesco; Dini, Luigi
Analysis of the potentiality of multi-temporal COSMO-SkyMed ® data for classifying summer crops / Guarini, Rocchina; Bruzzone, Lorenzo; Santoni, Massimo; Vuolo, Francesco; Dini, Luigi. - ELETTRONICO. - 2016:(2016), pp. 3170-3173. ((Intervento presentato al convegno 36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 tenutosi a Beijing nel July 10-15, 2016 [10.1109/IGARSS.2016.7729820].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11572/193923
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