A new SMAP soil moisture and vegetation optical depth product (SMAP-IB): Algorithm, assessment and inter-comparison
نویسندگان
چکیده
Passive microwave remote sensing at L-band (1.4 GHz) provides an unprecedented opportunity to estimate global surface soil moisture (SM) and vegetation water content (via the optical depth, VOD), which are essential monitor Earth carbon cycles. Currently, only two space-borne radiometer missions operating: Soil Moisture Ocean Salinity (SMOS) Active (SMAP) in orbit since 2009 2015, respectively. This study presents a new mono-angle retrieval algorithm (called SMAP-INRAE-BORDEAUX, hereafter SMAP-IB) of SM VOD (L-VOD) from dual-channel SMAP radiometric observations. The retrievals based on L-MEB (L-band Microwave Emission Biosphere) model is forward SMOS-IC official SMOS algorithms. SMAP-IB product aims providing good performances for both L-VOD while remaining independent auxiliary data: neither modelled data nor indices used as input algorithm. Inter-comparison with other products (i.e., MT-DCA, SMOS-IC, versions DCA SCA-V extracted passive Level 3 product) suggested that performed well L-VOD. In particular, presented higher scores (R = 0.74) capturing temporal trends in-situ observations ISMN (International Network) during April 2015–March 2019, followed by MT-DCA 0.71). While lowest ubRMSD value was obtained version (0.056 m3/m3), best R, (~ 0.058 m3/m3) bias (0.002 when considering (e.g., NDVI). SMAP-IB, were correlated (spatially) aboveground biomass tree height, spatial R values ~0.88 ~ 0.90, All three exhibited smooth non-linear density distribution linear relationship especially high levels, datasets incorporating information algorithms DCA) showed obvious saturation effects. It expected this can facilitate fusion obtain long-term continuous earth observation products.
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ژورنال
عنوان ژورنال: Remote Sensing of Environment
سال: 2022
ISSN: ['0034-4257', '1879-0704']
DOI: https://doi.org/10.1016/j.rse.2022.112921