SMOS-IC: An Alternative SMOS Soil Moisture and Vegetation Optical Depth Product
نویسندگان
چکیده
The main goal of the Soil Moisture and Ocean Salinity (SMOS) mission over land surfaces is the production of global maps of soil moisture (SM) and vegetation optical depth (τ) based on multi-angular brightness temperature (TB) measurements at L-band. The operational SMOS Level 2 and Level 3 soil moisture algorithms account for different surface effects, such as vegetation opacity and soil roughness at 4 km resolution, in order to produce global retrievals of SM and τ. In this study, we present an alternative SMOS product that was developed by INRA (Institut National de la Recherche Agronomique) and CESBIO (Centre d’Etudes Spatiales de la BIOsphère). One of the main goals of this SMOS-INRA-CESBIO (SMOS-IC) product is to be as independent as possible from auxiliary data. The SMOS-IC product provides daily SM and τ at the global scale and differs from the operational SMOS Level 3 (SMOSL3) product in the treatment of retrievals over heterogeneous pixels. Specifically, SMOS-IC is much simpler and does not account for corrections associated with the antenna pattern and the complex SMOS viewing angle geometry. It considers pixels as homogeneous to avoid uncertainties and errors linked to inconsistent auxiliary datasets which are used to characterize the pixel heterogeneity in the SMOS L3 algorithm. SMOS-IC also differs from the current SMOSL3 product (Version 300, V300) in the values of the effective vegetation scattering albedo (ω) and soil roughness parameters. An inter-comparison is presented in this study based on the use of ECMWF (European Center for Medium range Weather Forecasting) SM outputs and NDVI (Normalized Difference Vegetation Index) from MODIS (Moderate-Resolution Imaging Spectroradiometer). A six-year (2010–2015) inter-comparison of the SMOS products SMOS-IC and SMOSL3 SM (V300) with ECMWF SM yielded higher correlations and lower ubRMSD (unbiased root mean square difference) for SMOS-IC over most of the pixels. In terms of τ, SMOS-IC τ was found to be better correlated to MODIS NDVI in most regions of the globe, with the exception of the Amazonian basin and the northern mid-latitudes.
منابع مشابه
1 SMOS - IC : An alternative SMOS soil moisture and 2 vegetation optical depth product 3
The main goal of the Soil Moisture and Ocean Salinity (SMOS) mission over land surfaces 15 is the production of global maps of soil moisture (SM) and vegetation optical depth (τ) based on 16 multi-angular brightness temperature (TB) measurements at L-band. The operational SMOS Level 17 2 and Level 3 soil moisture algorithms account for different surface effects, such as vegetation 18 opacity an...
متن کاملAN EVALUATION OF SOIL mOISTURE DOwNSCALING TECHNIQUES USING L-bAND AIRbORNE ObSERVATIONS
69 m7 The European Space Agency (ESA) will launch the Soil Moisture and Ocean Salinity (SMOS) mission in late 2009. This mission is aimed at monitoring, globally, surface soil moisture and sea surface salinity from radiometric L-band observations [1]. Soil moisture is a critical state variable of the terrestrial water cycle and the factor that links the global water, energy and carbon cycles. C...
متن کاملTowards LPRM-based soil moisture retrievals with multi-angular microwave observations from SMOS
Passive microwave remote sensing by the Soil Moisture and Ocean Salinity (SMOS) satellite enables observations of surface soil moisture at global scale. This involves a retrieval process that uses a radiative transfer model to relate satellite-observed radiances to geophysical variables such as soil dielectric constant and soil moisture. The L-MEB (L-band Microwave Emission of the Biosphere) ba...
متن کاملInfluence of vegetation on SMOS mission retrievals
Using the proposed Soil Moisture and Ocean Salinity (SMOS) mission as a case study, this paper investigates how the presence and nature of vegetation influence the values of geophysical variables retrieved from multi-angle microwave radiometer observations. Synthetic microwave brightness temperatures were generated using a model for the coherent propagation of electromagnetic radiation through ...
متن کاملExploring the potential for multipatch soil-moisture retrievals using multiparameter optimization techniques
This paper explores the potential to retrieve surface soil moisture and optical depth simultaneously for several different patches of land cover in a single pixel from dual polarization, multiangle microwave brightness temperature observations such as will be provided by, for instance, the Soil Moisture and Ocean Salinity (SMOS) mission. MICRO-SWEAT, a coupled land-surface and microwave emissio...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Remote Sensing
دوره 9 شماره
صفحات -
تاریخ انتشار 2017