TY  - Data
T1  - An operational global L-band soil moisture and vegetation optical depth dataset from optimized 40° SMOS brightness temperatures
A1  - Li Xiaojun
DO  - 10.12072/ncdc.remote_sensing.db7456.2026
PY  - 2026
DA  - 2026-06-18
PB  - National Cryosphere Desert Data Center
AB  - This repository provides daily SMOS-IB brightness temperature (TB), soil moisture (SM), and vegetation optical depth (VOD) products, derived from SMOS observations after reconstructing a noise-reduced 40° mono-angular TB record using the L-MEB radiative transfer model. The optimized 40° TB is consistent with the SMAP viewing geometry and substantially reduces the high-frequency noise present in the CATDS multi-angular SMOS Level-3 TB.SMOS-IB SM and VOD were then retrieved using the SMAP-INRAE-BORDEAUX (SMAP-IB) algorithm with updated soil roughness map (Li et al., 2022; Konkathi et al., 2025). Evaluations against ISMN soil moisture measurements and multiple vegetation proxies show improved performance compared with multi-angular SMOS products. The dataset provides global daily 40° TB, SM, and VOD at 25 km from 2010 to 2024, suitable for L-band algorithm development and SMAP harmonization, global drought monitoring, and studies of vegetation water and biomass dynamics.Before doing any application or validation studies, the quality control of the data should be done carefully. For the data filtering, we just need to use Scene_Flags (SF) and RMSE layers.Firstly, we usually filter the daily SM/VOD values by the conditions “SF <= 1” to remove the strong Topo, frozen scene and polluted scene. Then, we use TB-RMSE <= 8k or TB-RMSE <= 6k to remove strong RFI impact (this RMSE threshold can be higher or lower, but a higher value will reduce the quality of the SM/VOD, and a lower value will mask out too many daily observations; this value depends on your application, usually for global scale validation, we choose 6 or 8K).
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/891af79c-7c85-4854-bbf8-aa64e6b657d8
ER  -