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Integration of X-SAR observations with data of other remote sensing techniques: preliminary results achieved with Cosmo/SkyMed announcement of opportunity projects

机译:将X-SAR观测值与其他遥感技术的数据集成:Cosmo / SkyMed宣布机会项目获得的初步结果

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The Italian Space Agency is funding 27 scientific projects in the framework of Cosmo/Skymed program (hereafter CSK) . A subset of them are focusing on the improvements of the quality and quantity of information which can be extracted from X-SAR data if integrated with other independent techniques like GPS or SAR imagery in L and C bands. The GPS observations, namely zenith total delays estimated by means of GPS ground stations, could be helpful to estimate the troposphere bias to remove from IN-SAR imagery. Another contribution of GPS could be the improvements of the orbits of Cosmo/SkyMed satellites. In particular the GPS navigation data of the CSK satellites could serve to improve the atmospheric drag models acting on them. The integration of SAR data in L and C bands on the other hand are helpful to investigate land hydrogeology parameters as well as to improve global precipitation observations. The combined use of L, C and X SAR data with different penetration depth could give profiles of land surface properties, especially in forest and snow/ice-packs. For what concern the use of X-SAR imagery for rain precipitation monitoring, particular attention will be paid to its polarimetric properties that we plan to determine aligning the CSK observations with those obtained with ground L and C radars. Anyway the study goals, the approaches proposed, the test sites identified and the external data selected for the development and validation will be described for each project. Particular attention will be paid to single the advantages that the research activities can benefit from the added potentials of CSK system: the more frequent revisiting time and the higher resolution capabilities.
机译:意大利航天局正在Cosmo / Skymed计划(以下称CSK)的框架内资助27个科学项目。如果与其他独立技术(例如L或C波段的GPS或SAR影像)集成,则可以从X-SAR数据中提取信息的质量和数量,这是其中一部分。 GPS观测值,即通过GPS地面站估算的天顶总时延,可能有助于估算对流层偏差以从IN-SAR图像中去除。 GPS的另一个贡献可能是改进了Cosmo / SkyMed卫星的轨道。特别是CSK卫星的GPS导航数据可以用来改善作用在它们上面的大气阻力模型。另一方面,L和C波段SAR数据的整合有助于研究陆地水文地质参数以及改善全球降水观测。结合使用具有不同穿透深度的L,C和X SAR数据可以得出土地表面特性的概况,尤其是在森林和雪/冰袋中。对于将X-SAR图像用于降雨监测的问题,我们将特别注意其极化特性,我们计划确定将CSK观测值与使用地面L和C雷达获得的观测值对齐。无论如何,将针对每个项目描述研究目标,建议的方法,确定的测试地点以及为开发和验证选择的外部数据。将特别注意研究活动可以从CSK系统的附加潜力中受益的独特优势:更频繁的重访时间和更高的解析能力。

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