{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,20]],"date-time":"2025-12-20T22:02:05Z","timestamp":1766268125404,"version":"build-2065373602"},"reference-count":34,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2021,5,4]],"date-time":"2021-05-04T00:00:00Z","timestamp":1620086400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100010665","name":"H2020 Marie Sk\u0142odowska-Curie Actions","doi-asserted-by":"publisher","award":["734541"],"award-info":[{"award-number":["734541"]}],"id":[{"id":"10.13039\/100010665","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The analysis of soil and land cover scattering properties and their connection with the parameters of microwave scattering is a longstanding research topic. Recently, the advent of modern space-borne microwave radiometers like SMAP in addition to the trend towards open data for scientific use fostered the development of enhanced models based on data fusion from different platforms permitting more accurate assessments. SMAP was designed to operate on an integrated combination of a radiometer and a radar, both operating in L-band. Unexpected failure of the radar component encouraged scientists to experiment various combination of data from the surviving radiometer with other sources of radar data, notably C-band Sentinel-1 data. In this work, we present a case study on a possible combination of SMAP radiometer data with X-band radar data from TerraSAR-X and COSMO-SkyMed, comparing results with those provided by NASA from their standard production procedures. The study was performed on two test sites, one at an agricultural site in Germany and one in the Brazilian Amazon, to explore very different vegetation conditions. This work is a part of a broader research effort addressing the combination of multiple sources of passive and active microwave sensing data. The research question defining this research effort is whether the use of data from multiple active sources affords either obtaining more accurate estimates of active\u2013passive co-variation parameters for a given observation period, or shortening the minimum observation period by increasing the temporal density of active samples. In this framework, this paper addresses a preliminary comparison of fresh and past results obtained from C-, X-, and L-band active sensing data. The observed relations offer interesting clues on the impact of band selection on soil vegetation analysis.<\/jats:p>","DOI":"10.3390\/rs13091786","type":"journal-article","created":{"date-parts":[[2021,5,5]],"date-time":"2021-05-05T22:51:42Z","timestamp":1620255102000},"page":"1786","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Covariation of Passive\u2013Active Microwave Measurements over Vegetated Surfaces: Case Studies at L-Band Passive and L-, C- and X-Band Active"],"prefix":"10.3390","volume":"13","author":[{"given":"Erica","family":"Albanesi","sequence":"first","affiliation":[{"name":"CNIT, Pavia Unit, Department of Electrical, Computer, Biomedical Engineering, University of Pavia, I-27100 Pavia, Italy"}]},{"given":"Silvia","family":"Bernoldi","sequence":"additional","affiliation":[{"name":"CNIT, Pavia Unit, Department of Electrical, Computer, Biomedical Engineering, University of Pavia, I-27100 Pavia, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0044-2998","authenticated-orcid":false,"given":"Fabio","family":"Dell\u2019Acqua","sequence":"additional","affiliation":[{"name":"CNIT, Pavia Unit, Department of Electrical, Computer, Biomedical Engineering, University of Pavia, I-27100 Pavia, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8362-4761","authenticated-orcid":false,"given":"Dara","family":"Entekhabi","sequence":"additional","affiliation":[{"name":"Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA"}]}],"member":"1968","published-online":{"date-parts":[[2021,5,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"458","DOI":"10.1016\/j.rse.2019.03.021","article-title":"Estimation of active\u2013passive microwave covariation using SMAP and Sentinel-1 data","volume":"225","author":"Jagdhuber","year":"2019","journal-title":"Remote Sens. 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