{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T16:30:32Z","timestamp":1776357032825,"version":"3.51.2"},"reference-count":55,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Neumeier Fellowship","award":["-"],"award-info":[{"award-number":["-"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>We present the application of a generic, semi-empirical first-order radiative transfer modelling approach for the retrieval of soil- and vegetation related parameters from coarse-resolution space-borne scatterometer measurements (    \u03c3 0    ). It is shown that both angular- and temporal variabilities of ASCAT     \u03c3 0     measurements can be sufficiently represented by modelling the scattering characteristics of the soil-surface and the covering vegetation-layer via linear combinations of idealized distribution-functions. The temporal variations are modelled using only two dynamic variables, the vegetation optical depth (   \u03c4   ) and the nadir hemispherical reflectance (N) of the chosen soil-bidirectional reflectance distribution function (    B R D F    ). The remaining spatial variabilities of the soil- and vegetation composition are accounted for via temporally constant parameters. The model was applied to series of 158 selected test-sites within France. Parameter estimates are obtained by using ASCAT     \u03c3 0     measurements together with auxiliary Leaf Area Index (    L A I    ) and soil-moisture (    S M    ) datasets provided by the Interactions between Soil, Biosphere, and Atmosphere (ISBA) land-surface model within the SURFEX modelling platform for a time-period from 2007\u20132009. The resulting parametrization was then used used to perform     S M     and    \u03c4    retrievals both with and without the incorporation of auxiliary     L A I     and     S M     datasets for a subsequent time-period from 2010 to 2012.<\/jats:p>","DOI":"10.3390\/rs11030285","type":"journal-article","created":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T03:08:05Z","timestamp":1548990485000},"page":"285","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":31,"title":["A Generic First-Order Radiative Transfer Modelling Approach for the Inversion of Soil and Vegetation Parameters from Scatterometer Observations"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0419-4546","authenticated-orcid":false,"given":"Raphael","family":"Quast","sequence":"first","affiliation":[{"name":"Department of Geodesy and Geoinformation, TU Wien, Gu\u00dfhausstra\u00dfe 27-29, 1040 Vienna, Austria"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1095-2702","authenticated-orcid":false,"given":"Cl\u00e9ment","family":"Albergel","sequence":"additional","affiliation":[{"name":"CNRM\u2014Universit\u00e9 de Toulouse, M\u00e9t\u00e9o-France, CNRS, 31057 Toulouse, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6425-6492","authenticated-orcid":false,"given":"Jean-Christophe","family":"Calvet","sequence":"additional","affiliation":[{"name":"CNRM\u2014Universit\u00e9 de Toulouse, M\u00e9t\u00e9o-France, CNRS, 31057 Toulouse, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7704-6857","authenticated-orcid":false,"given":"Wolfgang","family":"Wagner","sequence":"additional","affiliation":[{"name":"Department of Geodesy and Geoinformation, TU Wien, Gu\u00dfhausstra\u00dfe 27-29, 1040 Vienna, Austria"}]}],"member":"1968","published-online":{"date-parts":[[2019,2,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/j.advwatres.2017.09.006","article-title":"Four decades of microwave satellite soil moisture observations: Part 1. 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