An analysis of the capabilities of COSMO-SKYMED and RADARSAT systems for agricultural area monitoring

S. Paloscia, S. Pettinato, E. Santi, C. Notarnicola, F. Greifeneder, G. Cuozzo, Irene Nicolini, B. Demir, L. Bruzzone
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引用次数: 1

Abstract

This research aims at analyzing the integration of C and X band data collected from Radarsat2 (RS2) and COSMO-SkyMed (CSK) systems on some test areas in Italy, in order to estimate the main geophysical parameters of soil and vegetation, such as soil moisture and vegetation biomass. A check of the sensitivity of SAR signal to the soil parameters was first carried out on both test sites. Over the South-Tyrol area a retrieval approach based on the Support Vector Regression methodology, which was already tested in this area using C-band data from ENVISAT/ASAR data, was carried out. From these preliminary results it can be concluded that X-band images combined with C-band images could provide valuable information for the retrieval of SMC, even though further investigations should be carried out on a larger time-series and larger set of samples.
COSMO-SKYMED和RADARSAT系统用于农业区域监测的能力分析
本研究旨在对意大利部分试验区Radarsat2 (RS2)和cosmos - skymed (CSK)系统采集的C波段和X波段数据进行整合分析,估算土壤和植被的主要地球物理参数,如土壤湿度和植被生物量。首先在两个试验点对SAR信号对土壤参数的敏感性进行了检验。在南蒂罗尔地区,采用了一种基于支持向量回归方法的检索方法,该方法已在该地区使用ENVISAT/ASAR数据的c波段数据进行了试验。从这些初步结果可以得出结论,x波段图像结合c波段图像可以为SMC的检索提供有价值的信息,尽管进一步的研究需要在更大的时间序列和更大的样本集上进行。
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