The use of multi-polarization features (intensities at the HH, VV channels and their ratio) from the X-band COSMO-Sky Med SAR images collected over an agricultural test site in Mekong Delta, Vietnam, is investigated in this study in order to develop methodology for rice monitoring. The proposed approach aims to detect rice areas and to estimate the sowing dates. The rice mapping is based on a classification of rice fields or non-rice fields and the sowing date estimation is performed with a novel procedure based on a rice training signature obtained from trends of ratio between HH and VV intensities related to rice fields.
Rice Mapping and Sowing Date Estimation Using CSK SAR Data / Forino, Giuseppina; Nunziata, F.; Mascolo, L.; Pugliano, G.; Migliaccio, M.. - (2018), pp. 1-4. (Intervento presentato al convegno 4th IEEE International Forum on Research and Technologies for Society and Industry, RTSI 2018 tenutosi a ita) [10.1109/RTSI.2018.8548410].
Rice Mapping and Sowing Date Estimation Using CSK SAR Data
Nunziata F.;Migliaccio M.
2018
Abstract
The use of multi-polarization features (intensities at the HH, VV channels and their ratio) from the X-band COSMO-Sky Med SAR images collected over an agricultural test site in Mekong Delta, Vietnam, is investigated in this study in order to develop methodology for rice monitoring. The proposed approach aims to detect rice areas and to estimate the sowing dates. The rice mapping is based on a classification of rice fields or non-rice fields and the sowing date estimation is performed with a novel procedure based on a rice training signature obtained from trends of ratio between HH and VV intensities related to rice fields.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
