{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T10:26:49Z","timestamp":1760524009488,"version":"build-2065373602"},"reference-count":54,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2020,5,26]],"date-time":"2020-05-26T00:00:00Z","timestamp":1590451200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002830","name":"Centre National d\u2019Etudes Spatiales","doi-asserted-by":"publisher","award":["CNES postdoc"],"award-info":[{"award-number":["CNES postdoc"]}],"id":[{"id":"10.13039\/501100002830","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010665","name":"H2020 Marie Sk\u0142odowska-Curie Actions","doi-asserted-by":"publisher","award":["grant agreement No 823965)","grant agreement No 703978"],"award-info":[{"award-number":["grant agreement No 823965)","grant agreement No 703978"]}],"id":[{"id":"10.13039\/100010665","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003329","name":"Ministerio de Econom\u00eda y Competitividad","doi-asserted-by":"publisher","award":["CGL2015-65627-C3-3-R"],"award-info":[{"award-number":["CGL2015-65627-C3-3-R"]}],"id":[{"id":"10.13039\/501100003329","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The use of soil moisture (SM) measurements from satellites has grown in recent years, fostering the development of new products at high resolution. This opens the possibility of using them for certain applications that were normally carried out using in situ data. We investigated this hypothesis through two main analyses using two high-resolution satellite-based soil moisture (SBSM) products that combined microwave with thermal and optical data: (1) The Disaggregation based on Physical And Theoretical scale Change (DISPATCH) and, (2) The Soil Moisture Ocean Salinity-Barcelona Expert Center (SMOS-BEC Level 4). We used these products to analyse the SM differences among pixels with contrasting vegetation. This was done through the comparison of the SM measurements from satellites and the measurements simulated with a simple antecedent precipitation index (API) model, which did not account for the surface characteristics. Subsequently, the deviation of the SM from satellite with respect to the API model (bias) was analysed and compared for contrasting land use categories. We hypothesised that the differences in the biases of the varied categories could provide information regarding the water retention capacity associated with each type of vegetation. From the satellite measurements, we determined how the SM depended on the tree cover, i.e., the denser the tree cover, the higher the SM. However, in winter periods with light rain events, the tree canopy could dampen the moistening of the soil through interception and conducted higher SM in the open areas. This evolution of the SM differences that depended on the characteristics of each season was observed both from satellite and from in situ measurements taken beneath a tree and in grass on the savanna landscape. The agreement between both types of measurements highlighted the potential of the SBSM products to investigate the SM of each type of vegetation. We found that the results were clearer for DISPATCH, whose data was not smoothed spatially as it was in SMOS-BEC. We also tested whether the relationships between SM and evapotranspiration could be investigated using satellite data. The answer to this question was also positive but required removing the unrealistic high-frequency SM oscillations from the satellite data using a low pass filter. This improved the performance scores of the products and the agreement with the results from the in situ data. These results demonstrated the possibility of using SM data from satellites to substitute ground measurements for the study of land\u2013atmosphere interactions, which encourages efforts to improve the quality and resolution of these measurements.<\/jats:p>","DOI":"10.3390\/rs12111701","type":"journal-article","created":{"date-parts":[[2020,5,28]],"date-time":"2020-05-28T12:36:58Z","timestamp":1590669418000},"page":"1701","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Can We Use Satellite-Based Soil-Moisture Products at High Resolution to Investigate Land-Use Differences and Land\u2013Atmosphere Interactions? A Case Study in the Savanna"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4724-8102","authenticated-orcid":false,"given":"Carlos","family":"Rom\u00e1n-Casc\u00f3n","sequence":"first","affiliation":[{"name":"Centre National d\u2019\u00c9tudes Spatiales (CNES), 31400 Toulouse, France"},{"name":"Laboratorie d\u2019Aerologie, CNRS, Universit\u00e9 de Toulouse, 31400 Toulouse, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7280-6300","authenticated-orcid":false,"given":"Marie","family":"Lothon","sequence":"additional","affiliation":[{"name":"Laboratorie d\u2019Aerologie, CNRS, Universit\u00e9 de Toulouse, 31400 Toulouse, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4374-0127","authenticated-orcid":false,"given":"Fabienne","family":"Lohou","sequence":"additional","affiliation":[{"name":"Laboratorie d\u2019Aerologie, CNRS, Universit\u00e9 de Toulouse, 31400 Toulouse, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0392-0286","authenticated-orcid":false,"given":"Nitu","family":"Ojha","sequence":"additional","affiliation":[{"name":"CESBIO, Universit\u00e9 de Toulouse, CNES\/CNRS\/INRAE\/IRD\/UPS, 31400 Toulouse, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1985-6039","authenticated-orcid":false,"given":"Olivier","family":"Merlin","sequence":"additional","affiliation":[{"name":"CESBIO, Universit\u00e9 de Toulouse, CNES\/CNRS\/INRAE\/IRD\/UPS, 31400 Toulouse, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4989-9005","authenticated-orcid":false,"given":"David","family":"Aragon\u00e9s","sequence":"additional","affiliation":[{"name":"Remote Sensing &amp; GIS Lab. Estaci\u00f3n Biol\u00f3gica de Do\u00f1ana-CSIC, 41092 Sevilla, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0423-8246","authenticated-orcid":false,"given":"Mar\u00eda P.","family":"Gonz\u00e1lez-Dugo","sequence":"additional","affiliation":[{"name":"IFAPA. Avd. Men\u00e9ndez Pidal s\/n, 14071 C\u00f3rdoba, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8346-5417","authenticated-orcid":false,"given":"Ana","family":"Andreu","sequence":"additional","affiliation":[{"name":"IFAPA. Avd. Men\u00e9ndez Pidal s\/n, 14071 C\u00f3rdoba, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4157-1446","authenticated-orcid":false,"given":"Thierry","family":"Pellarin","sequence":"additional","affiliation":[{"name":"CNRS, IRD, Univ. Grenoble Alpes, Grenoble INP, IGE, F-38000 Grenoble, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4885-2555","authenticated-orcid":false,"given":"Aurore","family":"Brut","sequence":"additional","affiliation":[{"name":"CESBIO, Universit\u00e9 de Toulouse, CNES\/CNRS\/INRAE\/IRD\/UPS, 31400 Toulouse, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9165-7766","authenticated-orcid":false,"given":"Ram\u00f3n C.","family":"Soriguer","sequence":"additional","affiliation":[{"name":"Estaci\u00f3n Biol\u00f3gica de Do\u00f1ana, CSIC, 41092 Sevilla, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0460-4616","authenticated-orcid":false,"given":"Ricardo","family":"D\u00edaz-Delgado","sequence":"additional","affiliation":[{"name":"Remote Sensing &amp; GIS Lab. 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Universidad Complutense de Madrid, 28040 Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,5,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"315","DOI":"10.5194\/isprsannals-I-7-315-2012","article-title":"Fusion of active and passive microwave observations to create an essential climate variable data record on soil moisture","volume":"7","author":"Wagner","year":"2012","journal-title":"ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1029\/1999WR900210","article-title":"Ecohydrology: A hydrologic perspective of climate-soil-vegetation dynamics","volume":"36","year":"2000","journal-title":"Water Resour. Res."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.earscirev.2010.02.004","article-title":"Investigating soil moisture\u2013climate interactions in a changing climate: A review","volume":"99","author":"Seneviratne","year":"2010","journal-title":"Earth Sci. Rev."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Falloon, P., Jones, C.D., Ades, M., and Paul, K. (2011). Direct soil moisture controls of future global soil carbon changes: An important source of uncertainty. Global Biogeochem. Cycles, 25.","DOI":"10.1029\/2010GB003938"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"476","DOI":"10.1038\/s41586-018-0848-x","article-title":"Large influence of soil moisture on long-term terrestrial carbon uptake","volume":"565","author":"Green","year":"2019","journal-title":"Nature"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1016\/j.jhydrol.2008.12.003","article-title":"Hydrological modelling and associated microwave emission of a semi-arid region in South-western Niger","volume":"375","author":"Pellarin","year":"2009","journal-title":"J. Hydrol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"19361","DOI":"10.1029\/1999JD900449","article-title":"Impact of the ECMWF reanalysis soil water on forecasts of the July 1993 Mississippi flood","volume":"104","author":"Viterbo","year":"1999","journal-title":"J. Geophys. Res. Atmosph."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"8144","DOI":"10.1002\/2015JD023592","article-title":"Relationships between climate variability, soil moisture, and Australian heatwaves","volume":"120","author":"Perkins","year":"2015","journal-title":"J. Geophys. Res. Atmosph."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1103","DOI":"10.4269\/ajtmh.2007.77.1103","article-title":"Modeling the geographic distribution of Bacillus anthracis, the causative agent of anthrax disease, for the contiguous United States using predictive ecologic niche modeling","volume":"77","author":"Blackburn","year":"2007","journal-title":"Am. J. Tropic. Med. Hygien."},{"key":"ref_10","unstructured":"Jeffery, S., and Van der Putten, W.H. (2011). Soil Borne Human Diseases, Publications office of the European Union."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"356","DOI":"10.1016\/j.jhydrol.2006.09.004","article-title":"Soil moisture spatial variability in experimental areas of central Italy","volume":"333","author":"Brocca","year":"2007","journal-title":"J. Hydrol."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/j.jhydrol.2003.09.014","article-title":"Spatial correlation of soil moisture in small catchments and its relationship to dominant spatial hydrological processes","volume":"286","author":"Western","year":"2004","journal-title":"J. Hydrol."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"9489","DOI":"10.5194\/acp-16-9489-2016","article-title":"Estimation of the advection effects induced by surface heterogeneities in the surface energy budget","volume":"16","author":"Cuxart","year":"2016","journal-title":"Atmos. Chem. Phys."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1261","DOI":"10.1002\/(SICI)1099-1085(200005)14:7<1261::AID-HYP40>3.0.CO;2-D","article-title":"Spatial patterns and temporal stability of soil moisture across a range of scales in a semi-arid environment","volume":"14","author":"Albaladejo","year":"2000","journal-title":"Hydrol. Processes"},{"key":"ref_15","first-page":"10083","article-title":"Temporal stability of soil moisture under different land uses\/cover in the Loess Plateau based on a finer spatiotemporal scale","volume":"10","author":"Zhou","year":"2013","journal-title":"Hydrol. Earth Syst. Sci. Discuss."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1016\/j.jhydrol.2019.01.014","article-title":"Spatial-temporal variability of soil moisture: Addressing the monitoring at the catchment scale","volume":"570","author":"Dari","year":"2019","journal-title":"J. Hydrol."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1034\/j.1600-0706.2000.910219.x","article-title":"Competitive effects of shrubs and grasses in prairie","volume":"91","author":"Wilson","year":"2000","journal-title":"Oikos"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1007\/s004420050295","article-title":"Spatial and temporal soil moisture resource partitioning by trees and grasses in a temperate savanna, Arizona, USA","volume":"112","author":"Weltzin","year":"1997","journal-title":"Oecologia"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1046\/j.1365-2745.2003.00758.x","article-title":"Temporal heterogeneity of soil moisture in grassland and forest","volume":"91","author":"James","year":"2003","journal-title":"J. Ecol."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1016\/S0022-1694(96)03308-2","article-title":"An overview of HAPEX-Sahel: A study in climate and desertification","volume":"188","author":"Goutorbe","year":"1997","journal-title":"J. Hydrol."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1007\/s11707-009-0023-7","article-title":"Satellite remote sensing applications for surface soil moisture monitoring: A review","volume":"3","author":"Wang","year":"2009","journal-title":"Front. Earth Sci. China"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1384","DOI":"10.1109\/TGRS.2012.2184548","article-title":"The SMOS soil moisture retrieval algorithm","volume":"50","author":"Kerr","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"704","DOI":"10.1109\/JPROC.2010.2043918","article-title":"The soil moisture active passive (SMAP) mission","volume":"98","author":"Entekhabi","year":"2010","journal-title":"Proc. IEEE"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"L02813","DOI":"10.1029\/2007GL032243","article-title":"Using spaceborne surface soil moisture to constrain satellite precipitation estimates over West Africa","volume":"35","author":"Pellarin","year":"2008","journal-title":"Geophys. Res. Lett."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"12-062","DOI":"10.1002\/2016JD025382","article-title":"Rainfall estimation by inverting SMOS soil moisture estimates: A comparison of different methods over Australia","volume":"121","author":"Brocca","year":"2016","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1016\/j.rse.2016.02.042","article-title":"Overview of SMOS performance in terms of global soil moisture monitoring after six years in operation","volume":"180","author":"Kerr","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1016\/j.rse.2017.08.022","article-title":"Correcting satellite-based precipitation products through SMOS soil moisture data assimilation in two land-surface models of different complexity: API and SURFEX","volume":"200","author":"Pellarin","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1016\/j.agrformet.2018.07.001","article-title":"Millet yield estimates in the Sahel using satellite derived soil moisture time series","volume":"262","author":"Gibon","year":"2018","journal-title":"Agric. For. Meteorol."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.rse.2012.11.008","article-title":"Self-calibrated evaporation-based disaggregation of SMOS soil moisture: An evaluation study at 3 km and 100 m resolution in Catalunya, Spain","volume":"130","author":"Merlin","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1016\/j.rse.2016.02.045","article-title":"SMOS disaggregated soil moisture product at 1 km resolution: Processor overview and first validation results","volume":"180","author":"Molero","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Piles, M., Vall-Llossera, M., Camps, A., S\u00e1nchez, N., Mart\u00ednez-Fern\u00e1ndez, J., Mart\u00ednez, J., Gonz\u00e1lez-Gambau, V., and Riera, R. (2013, January 21\u201326). On the synergy of SMOS and Terra\/Aqua MODIS: High resolution soil moisture maps in near real-time. Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS, Melbourne, Australia.","DOI":"10.1109\/IGARSS.2013.6723564"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1883","DOI":"10.1109\/JSTARS.2018.2832447","article-title":"A spatially consistent downscaling approach for SMOS using an adaptive moving window","volume":"11","author":"Portal","year":"2018","journal-title":"IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens."},{"key":"ref_33","first-page":"123","article-title":"Long-term SMOS soil moisture products: A comprehensive evaluation across scales and methods in the Duero Basin (Spain)","volume":"83","author":"Gumuzzio","year":"2015","journal-title":"Phys. Chem. Earth Parts A\/B\/C"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1562","DOI":"10.1109\/TGRS.2013.2252468","article-title":"Comparison between SMOS, VUA, ASCAT, and ECMWF soil moisture products over four watersheds in US","volume":"52","author":"Leroux","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1016\/j.rse.2017.07.015","article-title":"Understanding the temporal behavior of crops using Sentinel-1 and Sentinel-2-like data for agricultural applications","volume":"199","author":"Veloso","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_36","unstructured":"Moreno, G., and Pulido, F.J. (2009). The functioning, management and persistence of dehesas. Agroforestry in Europe, Springer."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"2087","DOI":"10.1007\/s00382-010-0979-8","article-title":"Evaluation of different downscaling techniques for hydrological climate-change impact studies at the catchment scale","volume":"37","author":"Teutschbein","year":"2011","journal-title":"Clim. Dyn."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"900","DOI":"10.1002\/joc.4391","article-title":"Update of the Spain02 gridded observational dataset for EURO-CORDEX evaluation: Assessing the effect of the interpolation methodology","volume":"36","author":"Herrera","year":"2016","journal-title":"Int. J. Climatol."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"3730","DOI":"10.1002\/joc.5249","article-title":"Observational uncertainty and regional climate model evaluation: A pan-European perspective","volume":"39","author":"Kotlarski","year":"2019","journal-title":"Int. J. Climatol."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"569","DOI":"10.1175\/1520-0493(2001)129<0569:CAALSH>2.0.CO;2","article-title":"Coupling an advanced land surface\u2013hydrology model with the Penn State\u2013NCAR MM5 modeling system. Part I: Model implementation and sensitivity","volume":"129","author":"Chen","year":"2001","journal-title":"Mon. Weather Rev."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Andreu, A., Kustas, W.P., Polo, M.J., Carrara, A., and Gonz\u00e1lez-Dugo, M.P. (2018). Modeling Surface Energy Fluxes over a Dehesa (Oak Savanna) Ecosystem Using a Thermal Based Two-Source Energy Balance Model (TSEB) I. Remote Sens., 10.","DOI":"10.3390\/rs10040567"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Andreu, A., Kustas, W.P., Polo, M.J., Carrara, A., and Gonz\u00e1lez-Dugo, M.P. (2018). Modeling Surface Energy Fluxes over a Dehesa (Oak Savanna) Ecosystem Using a Thermal Based Two Source Energy Balance Model (TSEB) II\u2014Integration of Remote Sensing Medium and Low Spatial Resolution Satellite Images. Remote Sens., 10.","DOI":"10.3390\/rs10040558"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"106201","DOI":"10.1016\/j.agwat.2020.106201","article-title":"Effect of the differences in spectral response of Mediterranean tree canopies on the estimation of evapotranspiration using vegetation index-based crop coefficients","volume":"238","author":"Mateos","year":"2020","journal-title":"Agric. Water Manag."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.rse.2013.04.011","article-title":"A simple and effective method for correcting soil moisture and precipitation estimates using AMSR-E measurements","volume":"136","author":"Pellarin","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Pellarin, T., Rom\u00e1n-Casc\u00f3n, C., Baron, C., Bindlish, R., Brocca, L., Camberlin, P., Fern\u00e1ndez-Prieto, D., Kerr, Y.H., Massari, C., and Panthou, G. (2020). The Precipitation Inferred from Soil Moisture (PrISM) near Real-Time Rainfall Product: Evaluation and Comparison. Remote Sens., 12.","DOI":"10.3390\/rs12030481"},{"key":"ref_46","unstructured":"Stepanova, N.A. (1956). The Heat Balance of the Earth\u2019S Surface."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1221","DOI":"10.1175\/2011JHM1380.1","article-title":"Observed land\u2013atmosphere coupling from satellite remote sensing and reanalysis","volume":"12","author":"Ferguson","year":"2011","journal-title":"J. Hydrometeorol."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Gautam, D., and Pagay, V. (2020). A Review of Current and Potential Applications of Remote Sensing to Study the Water Status of Horticultural Crops. Agronomy, 10.","DOI":"10.3390\/agronomy10010140"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"334","DOI":"10.1016\/j.rse.2016.02.058","article-title":"Simultaneous assimilation of SMOS soil moisture and atmospheric CO2 in-situ observations to constrain the global terrestrial carbon cycle","volume":"180","author":"Scholze","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_50","first-page":"405","article-title":"Soil water improvement by trees in the rangelands of southern Spain","volume":"9","author":"Joffre","year":"1988","journal-title":"Acta Oecol. (Oecol. Plant)"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"2713","DOI":"10.1002\/hyp.6062","article-title":"Rainfall interception by an isolated evergreen oak tree in a Mediterranean savannah","volume":"20","author":"David","year":"2006","journal-title":"Hydrol. Proces."},{"key":"ref_52","unstructured":"Rodr\u00edguez, A.M., and Schnabel, S. (2009, January 1). Influencia de la poda del arbolado en el volumen y distribuci\u00f3n de la lluvia sobre el suelo en el ecosistema dehesa. Proceedings of the Congreso Internacional sobre Desertificaci\u00f3n, Murcia, Spain."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"951","DOI":"10.1016\/j.jhydrol.2015.09.018","article-title":"The role of vegetation covers on soil wetting processes at rainfall event scale in scattered tree woodland of Mediterranean climate","volume":"529","author":"Schnabel","year":"2015","journal-title":"J. Hydrol."},{"key":"ref_54","first-page":"1","article-title":"Vegetation degradation and land use changes in agrosilvopastoral systems","volume":"37","author":"Papanastasis","year":"2004","journal-title":"Sustain. Agrosilvopastoral Syst. Adv. GeoEcol."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/11\/1701\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T09:32:49Z","timestamp":1760175169000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/11\/1701"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5,26]]},"references-count":54,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2020,6]]}},"alternative-id":["rs12111701"],"URL":"https:\/\/doi.org\/10.3390\/rs12111701","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2020,5,26]]}}}