Review of the CALIMAS Team Contributions to European Space Agency's Soil Moisture and Ocean Salinity Mission Calibration and Validation
نویسندگان
چکیده
This work summarizes the activities carried out by the SMOS (Soil Moisture and Ocean Salinity) Barcelona Expert Center (SMOS-BEC) team in conjunction with the CIALE/Universidad de Salamanca team, within the framework of the European Space Agency (ESA) CALIMAS project in preparation for the SMOS mission and during its first year of operation. Under these activities several studies were performed, ranging from Level 1 (calibration and image reconstruction) to Level 4 (land pixel disaggregation techniques, by means of data fusion with higher resolution data from optical/infrared sensors). Validation of SMOS salinity products by means of surface drifters developed ad-hoc, and soil moisture products over the REMEDHUS site (Zamora, Spain) are also presented. Results of other preparatory activities carried out to improve the performance of eventual SMOS follow-on missions are presented, including GNSS-R to infer the sea state correction needed for improved ocean salinity retrievals and land surface parameters. Results from CALIMAS show a satisfactory performance of the MIRAS instrument, the accuracy and efficiency of the algorithms implemented in the ground data processors, and explore the limits of spatial resolution of soil moisture products using data fusion, as well as the feasibility of GNSS-R techniques for sea state determination and soil moisture monitoring.
منابع مشابه
Soil moisture retrieval from space: the Soil Moisture and Ocean Salinity (SMOS) mission
Microwave radiometry at low frequencies (L-band: 1.4 GHz, 21 cm) is an established technique for estimating surface soil moisture and sea surface salinity with a suitable sensitivity. However, from space, large antennas (several meters) are required to achieve an adequate spatial resolution at L-band. So as to reduce the problem of putting into orbit a large filled antenna, the possibility of u...
متن کاملA method for soil moisture probes calibration and validation of satellite estimates
Optimization of field techniques is crucial to ensure high quality soil moisture data. The aim of the work is to present a sampling method for undisturbed soil and soil water content to calibrated soil moisture probes, in a context of the SMOS (Soil Moisture and Ocean Salinity) mission MIRAS Level 2 soil moisture product validation in Pampean Region of Argentina. The method avoids soil alterati...
متن کاملSMOS RF Interference Scenario: Status and Actions Taken to Improve the RFI Environment in the 1400-1427 MHz Passive Band
ESA’s Soil Moisture and Ocean Salinity (SMOS) mission is perturbed with Radio Frequency Interferences (RFI) that jeopardize part of its scientific retrievals in some areas in the World, especially over continental areas in Europe, south Asia and the Middle East. Areas affected by RFIs might led to data loss or to underestimation of soil moisture and salinity retrievals, The SMOS team has put in...
متن کاملELBARA II, an L-Band Radiometer System for Soil Moisture Research
L-band (1-2 GHz) microwave radiometry is a remote sensing technique that can be used to monitor soil moisture, and is deployed in the Soil Moisture and Ocean Salinity (SMOS) Mission of the European Space Agency (ESA). Performing ground-based radiometer campaigns before launch, during the commissioning phase and during the operative SMOS mission is important for validating the satellite data and...
متن کاملOverview of Smos Retrievals over Land
The first dedicated Soil Moisture and Ocean Salinity mission (SMOS) has been launched by the European Space Agency on November 2, 2009. One novel aspect of this innovative spaceborne sensor is the use of the multi incidence angle observations for soil moisture retrieval [1]. The mission will deliver soil moisture products at least once every 3 day morning and evening at a 50 km spatial resoluti...
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 4 شماره
صفحات -
تاریخ انتشار 2012