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Automatic methodology to detect the coastline from Landsat images with a new water index assessed on three different Spanish Mediterranean deltashttps://doi.org/10.3390/rs11182186Viaña-Borja S.P., Ortega-Sánchez M.Sep 2019ArticleRemote Sensing
Urinary neuropilin-1: A predictive biomarker for renal outcome in lupus nephritishttps://doi.org/10.3390/ijms20184601Torres-Salido M.T., Sanchis M., Solé C., Moliné T., Vidal M., Vidal X., Solà A., Hotter G., Ordi-Ros J., Cortés-Hernández J.Sep 2019ArticleInternational Journal of Molecular Sciences
Tamm Review: Direct seeding to restore oak (Quercus spp.) forests and woodlandshttps://doi.org/10.1016/j.foreco.2019.06.032Löf M., Castro J., Engman M., Leverkus A.B., Madsen P., Reque J.A., Villalobos A., Gardiner E.S.Sep 2019ReviewForest Ecology and Management
Characterization of aerosol hygroscopicity using Raman lidar measurements at the EARLINET station of Payernehttps://doi.org/10.5194/acp-19-11651-2019Navas-Guzmán F., Martucci G., Collaud Coen M., Granados-Muñoz M.J., Hervo M., Sicard M., Haefele A.Sep 2019ArticleAtmospheric Chemistry and Physics
Preventing European forest diebackshttps://doi.org/10.1126/science.aaz3476Thorn S., Müller J., Leverkus A.B.Sep 2019Short SurveyScience
Ground/space, passive/active remote sensing observations coupled with particle dispersion modelling to understand the inter-continental transport of wildfire smoke plumeshttps://doi.org/10.1016/j.rse.2019.111294Sicard M., Granados-Muñoz M.J., Alados-Arboledas L., Barragán R., Bedoya-Velásquez A.E., Benavent-Oltra J.A., Bortoli D., Comerón A., Córdoba-Jabonero C., Costa M.J., del Águila A., Fernández A.J., Guerrero-Rascado J.L., Jorba O., Molero F., Muñoz-Porcar C., Ortiz-Amezcua P., Papagiannopoulos N., Potes M., Pujadas M., Rocadenbosch F., Rodríguez-Gómez A., Román R., Salgado R., Salgueiro V., Sola Y., Yela M.Oct 2019ArticleRemote Sensing of Environment
Quantifying the role of individual flood drivers and their correlations in flooding of coastal river reacheshttps://doi.org/10.1007/s00477-019-01733-8Bermúdez M., Cea L., Sopelana J.Oct 2019ArticleStochastic Environmental Research and Risk Assessment
A rapid flood inundation model for hazard mapping based on least squares support vector machine regressionhttps://doi.org/10.1111/jfr3.12522Bermúdez M., Cea L., Puertas J.Oct 2019ArticleJournal of Flood Risk Management
Corrigendum to “Evaluation of night-time aerosols measurements and lunar irradiance models in the frame of the first multi-instrument nocturnal intercomparison campaign” (Atmospheric Environment (2019) 202 (190–211), (S1352231019300287), (10.1016/j.atmosenv.2019.01.006))https://doi.org/10.1016/j.atmosenv.2019.116841Barreto A., Román R., Cuevas E., Pérez-Ramírez D., Berjón A.J., Kouremeti N., Kazadzis S., Gröbner J., Mazzola M., Toledano C., Benavent-Oltra J.A., Doppler L., Juryšek J., Almansa A.F., Victori S., Maupin F., Guirado-Fuentes C., González R., Vitale V., Goloub P., Blarel L., Alados-Arboledas L., Woolliams E., Taylor S., Antuña J.C., Yela M.Oct 2019ErratumAtmospheric Environment
Integration of a Landsat time-series of NBR and hydrological modeling to assess Pinus pinaster Aiton. forest defoliation in south-eastern Spainhttps://doi.org/10.3390/rs11192291Salamanca A.J.A., Navarro-Cerrillo R.M., Bonet-García F.J., Pérez-Palazón M.J., Polo M.J.Oct 2019ArticleRemote Sensing

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