首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Towards improved spatio-temporal resolution soil moisture retrievals from the synergy of SMOS and MSG SEVIRI spaceborne observations
【24h】

Towards improved spatio-temporal resolution soil moisture retrievals from the synergy of SMOS and MSG SEVIRI spaceborne observations

机译:通过SMOS和MSG SEVIRI星载观测的协同作用来改善时空分辨率的土壤水分反演

获取原文
获取原文并翻译 | 示例
       

摘要

Earth Observation (EO) technology is today at a maturity level that allows deriving operational estimates of Surface Soil Moisture (SSM) from a variety of sensors; yet, such products are provided at present at a coarse spatial and/or temporal resolution, which restricts their use in local or regional scale studies and practical applications. Herein, a methodology to derive SSM estimates from space at previously unattained spatio-temporal resolutions is proposed. The method is based on a variant of the "triangle" inversion technique leveraging on the strengths and synergies of SMOS (Soil Moisture and Ocean Salinity mission) microwave observations and geostationary optical/infrared data. The SSM retrieval technique allows for: i) enhancing the spatial resolution of SMOS SSM product estimates to 3 km spatial resolution, and, ii) providing a temporal average daytime SM product from the instantaneous fine-scale SSM estimates acquired every 15 min; the latter is allowing higher coverage in presence of clouds and representativeness (up to 96 estimates per day) in comparison to the instantaneous estimate at the time of satellite overpass.
机译:今天,地球观测(EO)技术处于成熟水平,可以从各种传感器得出地表土壤水分(SSM)的运行估算值。但是,目前以粗略的空间和/或时间分辨率提供这种产品,这限制了它们在局部或区域规模研究和实际应用中的使用。在此,提出了一种以先前未达到的时空分辨率从空间推导SSM估计值的方法。该方法基于“三角”反演技术的一种变体,该技术利用了SMOS(土壤水分和海洋盐度任务)微波观测和对地静止光学/红外数据的优势和协同作用。 SSM检索技术允许:i)将SMOS SSM产品估算的空间分辨率提高到3 km空间分辨率,并且,ii)从每15分钟获取的瞬时精细SSM估算值提供时间平均日间SM产品;与卫星越过时的瞬时估算相比,后者可以在有云和具有代表性的情况下提供更高的覆盖范围(每天多达96个估算)。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号