{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T22:07:59Z","timestamp":1777932479298,"version":"3.51.4"},"reference-count":62,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2020,9,6]],"date-time":"2020-09-06T00:00:00Z","timestamp":1599350400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1903208"],"award-info":[{"award-number":["U1903208"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Global Satellite Mapping of Precipitation (GSMaP), Climate Hazards Group InfraRed Preconception with Station data (CHIRPS), Tropical Rain Measurement Mission Multisatellite Precipitation Analysis (TRMM 3B42 V7) and Rainfall Estimation from Soil Moisture Observations (SM2RAIN) are satellite precipitation products with high applicability, but their applicability in hydrological research in arid mountainous areas is not clear. Based on precipitation and runoff data, this study evaluated the applicability of each product to hydrological research in a typical mountainous basin (the Qaraqash River basin) in an arid region by using two methods: a statistical index and a hydrological model (Soil and Water Assessment Tool, SWAT). Simulation results were evaluated by Nash efficiency coefficient (NS), relative error (PBIAS) and determination coefficient (R2). The results show that: (1) The spatial distributions of precipitation estimated by these four products in the Qaraqash River basin are significantly different, and the multi-year average annual precipitation of GSMaP is 97.11 mm, which is the closest to the weather station interpolation results. (2) On the annual and monthly scales, GSMaP has the highest correlation (R \u2265 0.82) with the observed precipitation and the smallest relative error (BIAS &lt; 6%). On the seasonal scale, the inversion accuracy of GSMaP in spring, summer and autumn is significantly higher than other products. In winter, all four sets of products perform poorly in estimating the actual precipitation. (3) Monthly runoff simulations based on SM2RAIN and GSMaP show good fitting (R2 &gt; 0.6). In daily runoff simulation, GSMaP has the greatest ability to reproduce runoff changes. The study provides a reference for the optimization of precipitation image data and hydrological simulation in data-scarce areas.<\/jats:p>","DOI":"10.3390\/rs12182886","type":"journal-article","created":{"date-parts":[[2020,9,6]],"date-time":"2020-09-06T23:12:49Z","timestamp":1599433969000},"page":"2886","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Applicability Evaluation of Multisource Satellite Precipitation Data for Hydrological Research in Arid Mountainous Areas"],"prefix":"10.3390","volume":"12","author":[{"given":"Xiangzhen","family":"Wang","sequence":"first","affiliation":[{"name":"School of Geography and Tourism, Qufu Normal University, Rizhao 276826, China"},{"name":"State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6986-135X","authenticated-orcid":false,"given":"Baofu","family":"Li","sequence":"additional","affiliation":[{"name":"School of Geography and Tourism, Qufu Normal University, Rizhao 276826, China"},{"name":"State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yaning","family":"Chen","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Geography and Tourism, Qufu Normal University, Rizhao 276826, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yunqian","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Geography and Tourism, Qufu Normal University, Rizhao 276826, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lishu","family":"Lian","sequence":"additional","affiliation":[{"name":"School of Geography and Tourism, Qufu Normal University, Rizhao 276826, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,9,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.atmosres.2015.02.002","article-title":"Precipitation comparison for the CFSR, MERRA, TRMM 3B42 and combined scheme datasets in Bolivia","volume":"163","author":"Blacutt","year":"2015","journal-title":"Atmos. Res."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1016\/j.gloplacha.2016.07.014","article-title":"An evaluation of how downscaled climate data represents historical precipitation characteristics beyond the means and variances","volume":"144","author":"Kusangaya","year":"2016","journal-title":"Glob. Planet Chang."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"124376","DOI":"10.1016\/j.jhydrol.2019.124376","article-title":"Comparison analysis of six purely satellite-derived global precipitation estimates","volume":"581","author":"Chen","year":"2020","journal-title":"J. Hydrol."},{"key":"ref_4","first-page":"970","article-title":"Evaluation of the accuracy characteristics of 6 satellite precipitation products in China","volume":"41","author":"Liao","year":"2015","journal-title":"Meteorology"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"5342","DOI":"10.1002\/2013WR015141","article-title":"Debates\u2014The future of hydrological sciences: A (Common) path forward? A call to action aimed at understanding velocities, celerities and residence time distributions of the headwater hydrograph","volume":"50","author":"McDonnell","year":"2014","journal-title":"Water Resour. Res."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1241","DOI":"10.1029\/2001WR000978","article-title":"On the dialog between experimentalist and modeler in catchment hydrology: Use of soft data for multicriteria model calibration","volume":"38","author":"Seibert","year":"2002","journal-title":"Water Resour. Res."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1016\/j.jhydrol.2014.07.044","article-title":"Evaluation of satellite precipitation retrievals and their potential utilities in Hydrologic Modeling over the Tibetan Plateau","volume":"519","author":"Tong","year":"2014","journal-title":"J. Hydrol."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"3139","DOI":"10.1080\/01431161.2018.1539274","article-title":"Comprehensive comparison of daily IMERG and GSMaP satellite precipitation products in Ardabil Province, Iran","volume":"40","author":"Aslami","year":"2018","journal-title":"Int. J. Remote Sens."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"676","DOI":"10.1080\/02626667.2010.487976","article-title":"Simulated precipitation fields with variance-consistent interpolation","volume":"55","author":"Skaugen","year":"2010","journal-title":"Hydrol. Sci. J."},{"key":"ref_10","first-page":"1165","article-title":"Improvement of a combination of TMPA (or IMERG) and ground-based precipitation and application to a typical region of the East China Plain","volume":"640\u2013641","author":"Wu","year":"2018","journal-title":"Sci. Total Environ."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1016\/j.atmosres.2017.04.005","article-title":"Intercomparison of PERSIANN-CDR and TRMM-3B42V7 precipitation estimates at monthly and daily time scales","volume":"193","author":"Hsu","year":"2017","journal-title":"Atmos. Res."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1555","DOI":"10.1016\/j.scitotenv.2019.01.119","article-title":"Hydroclimate assessment of gridded precipitation products for the Tibetan Plateau","volume":"660","author":"Wu","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_13","unstructured":"Wu, L., and Zhai, P. (2011, January 2\u20134). Availability assessment of CMORPH and TRMM 3B42 in the analysis of warm-season hourly precipitation in the Sichuan basin and its east Sichuan basin. Proceedings of the 28th Chinese Meteorological Society Annual Meeting, Xiamen, China."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"111697","DOI":"10.1016\/j.rse.2020.111697","article-title":"Have satellite precipitation products improved over last two decades? A comprehensive comparison of GPM IMERG with nine satellite and reanalysis datasets","volume":"240","author":"Tang","year":"2020","journal-title":"Remote Sens Environ."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"124456","DOI":"10.1016\/j.jhydrol.2019.124456","article-title":"Evaluation and integration of the top-down and bottom-up satellite precipitation products over mainland China","volume":"581","author":"Zhang","year":"2019","journal-title":"J. Hydrol."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Wu, L., Xu, Y., and Wang, S. (2018). Comparison of TMPA-3B42RT legacy product and the equivalent IMERG products over mainland China. Remote Sens., 10.","DOI":"10.3390\/rs10111778"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Mohd Zad, S., Zulkafli, Z., and Muharram, F. (2018). Satellite rainfall (TRMM 3B42 V7) performance assessment and adjustment over Pahang River basin, Malaysia. Remote Sens., 10.","DOI":"10.3390\/rs10030388"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Jiang, Q., Li, W., Wen, J., Qiu, C., Sun, W., Fang, Q., Xu, M., and Tan, J. (2018). Accuracy evaluation of two high-resolution satellite-based rainfall products: TRMM 3B42 V7 and CMORPH in Shanghai. Water, 10.","DOI":"10.3390\/w10010040"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"910","DOI":"10.1002\/2016JD025418","article-title":"Ground validation of GPM IMERG and TRMM 3B42 V7 rainfall products over southern Tibetan Plateau based on a high-density rain gauge network","volume":"122","author":"Xu","year":"2017","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1007\/s11769-016-0818-x","article-title":"Evaluation of latest TMPA and CMORPH precipitation products with independent rain gauge observation networks over high-latitude and low-latitude basins in China","volume":"26","author":"Jiang","year":"2016","journal-title":"Chin. Geogr. Sci."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"659","DOI":"10.1007\/s00704-015-1598-4","article-title":"Comprehensive precipitation evaluation of TRMM 3B42 with dense rain gauge networks in a Mid-latitude basin, northeast, China","volume":"126","author":"Cai","year":"2016","journal-title":"Theor. Appl. Climatol."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"11639","DOI":"10.3390\/rs70911639","article-title":"Performance of high resolution satellite rainfall products over data scarce parts of Eastern Ethiopia","volume":"7","author":"Gebere","year":"2015","journal-title":"Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"134834","DOI":"10.1016\/j.scitotenv.2019.134834","article-title":"Evaluation of satellite rainfall products for modeling water yield over the source region of Blue Nile basin","volume":"708","author":"Belete","year":"2020","journal-title":"Sci. Total Environ."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.jhydrol.2013.06.042","article-title":"Statistical and hydrological evaluation of TRMM-based Multi-satellite Precipitation Analysis over the Wangchu Basin of Bhutan: Are the latest satellite precipitation products 3B42V7 ready for use in ungauged basins?","volume":"499","author":"Xue","year":"2013","journal-title":"J. Hydrol."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Lu, D., and Yong, B. (2020). A preliminary assessment of the gauge-adjusted near-real-time GSMaP precipitation estimate over mainland China. Remote Sens., 12.","DOI":"10.3390\/rs12010141"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1016\/j.atmosres.2018.07.022","article-title":"Error analysis and correction of the daily GSMaP products over Hanjiang River basin of China","volume":"214","author":"Deng","year":"2018","journal-title":"Atmos. Res."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1016\/j.atmosres.2018.05.016","article-title":"Comparison of two long-term and high-resolution satellite precipitation datasets in Xinjiang, China","volume":"212","author":"Gao","year":"2018","journal-title":"Atmos. Res."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Shawky, M., Moussa, A., Hassan, Q., and El-Sheimy, N. (2019). Performance assessment of sub-daily and daily precipitation estimates derived from GPM and GSMaP products over an arid environment. Remote Sens., 11.","DOI":"10.3390\/rs11232840"},{"key":"ref_29","unstructured":"Shukla, S., Funk, C., Peterson, P., Mcnally, A., Dinku, T., Barbosa, H., Paredestrejo, F., Pedreros, D., and Husak, G. (2017, January 23\u201328). The Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS) Dataset and Its Applications in Drought Risk Management. Proceedings of the EGU General Assembly 2017, Vienna, Austria."},{"key":"ref_30","unstructured":"Peterson, P., Funk, C., Landsfeld, M., Husak, G., Pedreros, D., Verdin, J., Rowland, J., Shukla, S., McNally, A., and Michaelsen, J. (2015, January 14\u201318). The Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS) v2.0 Dataset: 35 Year Quasi-Global Precipitation Estimates for Drought Monitoring. Proceedings of the American Geophysical Union\u2019s 48th annual Fall Meeting, San Francisco, CA, USA."},{"key":"ref_31","first-page":"1","article-title":"Performance evaluation of CHIRPS satellite precipitation estimates over Turkey","volume":"17","author":"Aksu","year":"2020","journal-title":"Theor. Appl. Climatol."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1921","DOI":"10.5194\/amt-11-1921-2018","article-title":"Validation of new satellite rainfall products over the upper Blue Nile basin, Ethiopia","volume":"11","author":"Ayehu","year":"2018","journal-title":"Atmos Meas Tech."},{"key":"ref_33","first-page":"819","article-title":"Satellite precipitation product: Applicability and accuracy evaluation in diverse region (SM2RAIN)","volume":"63","author":"Ehtsham","year":"2019","journal-title":"Sci. China Technol. Sci."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Satge, F., Hussain, Y., Molina-Carpio, J., Pillco, R., Laugner, C., Akhter, G., and Bonnet, M.P. (2020). Reliability of SM2RAIN precipitation datasets in comparison to gauge observations and hydrological modelling over arid regions. Int. J. Climatol.","DOI":"10.1002\/joc.6704"},{"key":"ref_35","first-page":"15","article-title":"Application of regional linear moment method to rainstorm frequency analysis in Taihu Lake basin","volume":"35","author":"Wu","year":"2015","journal-title":"Hydrology"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1583","DOI":"10.5194\/essd-11-1583-2019","article-title":"SM2RAIN\u2013ASCAT (2007\u20132018): Global daily satellite rainfall data from Ascat soil moisture observations","volume":"11","author":"Brocca","year":"2019","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Xu, F., Guo, B., Ye, B., Ye, Q., Chen, H., Ju, X., Guo, J., and Wang, Z. (2019). Systematical evaluation of GPM IMERG and TRMM 3B42 V7 precipitation products in the Huang-Huai-Hai Plain, China. Remote Sens., 11.","DOI":"10.3390\/rs11060697"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1016\/j.atmosres.2018.02.019","article-title":"Assessment of GPM and SM2RAIN-Ascat rainfall products over complex terrain in Southern Italy","volume":"206","author":"Chiaravalloti","year":"2018","journal-title":"Atmos. Res."},{"key":"ref_39","first-page":"710","article-title":"Applicability analysis of four precipitation data in the upper reaches of the Yeerqiang River in the Karakorum Mountains","volume":"3","author":"Kan","year":"2013","journal-title":"Glacier Permafrost."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1016\/j.scitotenv.2016.08.034","article-title":"Evaluation of Precipitation Input for SWAT Modeling in Alpine Catchment: A Case Study in the Adige River Basin (Italy)","volume":"573","author":"Ye","year":"2016","journal-title":"Sci. Total Environ."},{"key":"ref_41","unstructured":"Liu, X. (2019). Imulation of Hydrological Effects of Climate and Land Use Change in the Upper Hotan River Based on SWAT Model. [Master\u2019s Thesis, Qufu Normal University]."},{"key":"ref_42","first-page":"21","article-title":"Research on the impact of climate change on the runoff of Hotan River","volume":"3","author":"Zhou","year":"2017","journal-title":"China Rural Water Hydropower"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"150066","DOI":"10.1038\/sdata.2015.66","article-title":"The Climate Hazards Infrared Precipitation with Stations\u2014A new environmental record for monitoring extremes","volume":"2","author":"Funk","year":"2015","journal-title":"Sci. Data"},{"key":"ref_44","first-page":"1","article-title":"A quasi-global precipitation time series for drought monitoring data series 832","volume":"832","author":"Funk","year":"2014","journal-title":"US Geol. Surv. Data Ser."},{"key":"ref_45","first-page":"101","article-title":"Evaluation of Gsmap daily rainfall satellite data for flood monitoring: Case study\u2014Kyushu Japan","volume":"4","author":"Setiawati","year":"2016","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1016\/j.atmosres.2018.12.032","article-title":"Evaluation of the GSMaP_Gauge products using rain gauge observations and SWAT model in the upper Hanjiang River basin","volume":"219","author":"Deng","year":"2019","journal-title":"Atmos. Res."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1175\/JHM560.1","article-title":"The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-global, multiyear, combined-sensor precipitation estimates at fine scales","volume":"8","author":"Huffman","year":"2007","journal-title":"J. Hydrometeorol."},{"key":"ref_48","unstructured":"Huffman, G.J., and Bolvin, D.T. (2015). TRMM and Other Data Precipitation Data Set Documentation, NASA."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1016\/j.atmosres.2016.02.020","article-title":"Early assessment of integrated multi-satellite retrievals for global precipitation measurement over China","volume":"176\u2013177","author":"Guo","year":"2016","journal-title":"Atmos. Res."},{"key":"ref_50","first-page":"323","article-title":"Intercomparison of improved satellite rainfall estimation with CHIRPS gridded product and rain gauge data over Venezuela","volume":"29","author":"Trejo","year":"2016","journal-title":"Atm\u00f3sfera"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/j.ecolmodel.2019.02.011","article-title":"Effects of land-use data resolution on hydrologic modelling, a case study in the upper reach of the Heihe River, Northwest China","volume":"404","author":"Jin","year":"2019","journal-title":"Ecol. Model."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1016\/j.jhydrol.2010.01.025","article-title":"Analysis of parameter uncertainty in semi-distributed hydrological models using bootstrap method: A case study of SWAT model applied to Yingluoxia Watershed in Northwest China","volume":"385","author":"Li","year":"2010","journal-title":"J. Hydrol."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1016\/j.jhydrol.2012.11.005","article-title":"Inclusion of glacier processes for distributed hydrological modeling at basin scale with application to a watershed in Tianshan Mountains, Northwest China","volume":"477","author":"Luo","year":"2013","journal-title":"J. Hydrol."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.geomorph.2017.08.050","article-title":"The spatial distribution of precipitation and topography in the Qilian Shan Mountains, northeastern Tibetan Plateau","volume":"297","author":"Geng","year":"2017","journal-title":"Geomorphology"},{"key":"ref_55","first-page":"243","article-title":"Quantitative analysis of the impact of the No. 1 glacier in the headwaters of the Urumqi River in the Tianshan Mountains on precipitation","volume":"3","author":"Zhang","year":"2000","journal-title":"Glacial Frozen Soil."},{"key":"ref_56","first-page":"59","article-title":"Hotan River basin hydrological characteristics and regional water resources evaluation","volume":"2","author":"Hu","year":"1991","journal-title":"Arid Area Res."},{"key":"ref_57","first-page":"46","article-title":"Glacier water resources of China","volume":"1","author":"Yang","year":"1991","journal-title":"Nat. Resour."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1016\/j.jhydrol.2008.07.032","article-title":"Daily hydrological modeling in the Amazon basin using TRMM rainfall estimates","volume":"360","author":"Collischonn","year":"2008","journal-title":"J. Hydrol."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"3452","DOI":"10.1109\/JSTARS.2015.2403303","article-title":"The Global Precipitation Measurement (GPM) Microwave Imager (GMI): Instrument overview and early on-orbit performance","volume":"8","author":"Draper","year":"2015","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Paredes-Trejo, F., Barbosa, H.A., and Rossato Spatafora, L. (2018). Assessment of SM2RAIN-derived and state-of-the-Art satellite rainfall products over Northeastern Brazil. Remote Sens., 10.","DOI":"10.3390\/rs10071093"},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"Rahman, K.U., Shang, S., Shahid, M., and Wen, Y. (2019). Performance Assessment of SM2RAIN-CCI and SM2RAIN-ASCAT precipitation products over Pakistan. Remote Sens., 11.","DOI":"10.3390\/rs11172040"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1175\/JTECH1700.1","article-title":"Ground validation for the Tropical Rainfall Measuring Mission (TRMM)","volume":"22","author":"Wolff","year":"2005","journal-title":"J. Atmos. Ocean Technol."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/18\/2886\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T10:07:19Z","timestamp":1760177239000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/18\/2886"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,6]]},"references-count":62,"journal-issue":{"issue":"18","published-online":{"date-parts":[[2020,9]]}},"alternative-id":["rs12182886"],"URL":"https:\/\/doi.org\/10.3390\/rs12182886","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,9,6]]}}}