{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T02:23:06Z","timestamp":1760235786799,"version":"build-2065373602"},"reference-count":19,"publisher":"MDPI AG","issue":"19","license":[{"start":{"date-parts":[[2021,9,27]],"date-time":"2021-09-27T00:00:00Z","timestamp":1632700800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Remotely sensed geophysical datasets are being produced at increasingly fast rates to monitor various aspects of the Earth system in a rapidly changing world. The efficient and innovative use of these datasets to understand hydrological processes in various climatic and vegetation regimes under anthropogenic impacts has become an important challenge, but with a wide range of research opportunities. The ten contributions in this Special Issue have addressed the following four research topics: (1) Evapotranspiration estimation; (2) rainfall monitoring and prediction; (3) flood simulations and predictions; and (4) monitoring of ecohydrological processes using remote sensing techniques. Moreover, the authors have provided broader discussions, on how to make the most out of the state-of-the-art remote sensing techniques to improve hydrological model simulations and predictions, to enhance their skills in reproducing processes for the fast-changing world.<\/jats:p>","DOI":"10.3390\/rs13193865","type":"journal-article","created":{"date-parts":[[2021,9,27]],"date-time":"2021-09-27T22:16:38Z","timestamp":1632780998000},"page":"3865","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Using Remote Sensing Techniques to Improve Hydrological Predictions in a Rapidly Changing World"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3562-2323","authenticated-orcid":false,"given":"Yongqiang","family":"Zhang","sequence":"first","affiliation":[{"name":"Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5335-6209","authenticated-orcid":false,"given":"Dongryeol","family":"Ryu","sequence":"additional","affiliation":[{"name":"Department of Infrastructure Engineering, Faculty of Engineering and Information Technology, The University of Melbourne, Melbourne, VIC 3010, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1151-3381","authenticated-orcid":false,"given":"Donghai","family":"Zheng","sequence":"additional","affiliation":[{"name":"National Tibetan Plateau Data Center, State Key Laboratory of Tibetan Plateau Earth System, Resource and Environment, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China"}]}],"member":"1968","published-online":{"date-parts":[[2021,9,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"418","DOI":"10.1038\/nature20584","article-title":"High-resolution mapping of global surface water and its long-term changes","volume":"540","author":"Pekel","year":"2016","journal-title":"Nature"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"650","DOI":"10.1038\/s41586-018-0123-1","article-title":"Emerging trends in global freshwater availability","volume":"557","author":"Rodell","year":"2018","journal-title":"Nature"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"294","DOI":"10.1038\/s41586-020-2258-0","article-title":"Patterns and trends of Northern Hemisphere snow mass from 1980 to 2018","volume":"581","author":"Pulliainen","year":"2020","journal-title":"Nature"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"543","DOI":"10.1038\/s41586-021-03503-5","article-title":"A 10 per cent increase in global land evapotranspiration from 2003 to 2019","volume":"593","author":"Reager","year":"2021","journal-title":"Nature"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Zhang, X., and Song, P. (2021). Estimating Urban Evapotranspiration at 10m Resolution Using Vegetation Information from Sentinel-2: A Case Study for the Beijing Sponge City. Remote Sens., 13.","DOI":"10.3390\/rs13112048"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Jepsen, S.M., Harmon, T.C., and Guan, B. (2021). Analyzing the Suitability of Remotely Sensed ET for Calibrating a Watershed Model of a Mediterranean Montane Forest. Remote Sens., 13.","DOI":"10.3390\/rs13071258"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"e2020WR028205","DOI":"10.1029\/2020WR028205","article-title":"Using Remote Sensing Data-Based Hydrological Model Calibrations for Predicting Runoff in Ungauged or Poorly Gauged Catchments","volume":"56","author":"Huang","year":"2020","journal-title":"Water Resour. Res."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Han, C., Huo, J., Gao, Q., Su, G., and Wang, H. (2020). Rainfall Monitoring Based on Next-Generation Millimeter-Wave Backhaul Technologies in a Dense Urban Environment. Remote Sens., 12.","DOI":"10.3390\/rs12061045"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Liu, Y., Liu, J., Li, C., Yu, F., and Wang, W. (2021). Effect of the Assimilation Frequency of Radar Reflectivity on Rain Storm Prediction by Using WRF-3DVAR. Remote Sens., 13.","DOI":"10.3390\/rs13112103"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Ma, M., Wang, H., Jia, P., Tang, G., Wang, D., Ma, Z., and Yan, H. (2020). Application of the GPM-IMERG Products in Flash Flood Warning: A Case Study in Yunnan, China. Remote Sens., 12.","DOI":"10.3390\/rs12121954"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Wang, W., Liu, J., Li, C., Liu, Y., and Yu, F. (2021). Data Assimilation for Rainfall-Runoff Prediction Based on Coupled Atmospheric-Hydrologic Systems with Variable Complexity. 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Water Resour. Res., 56.","DOI":"10.1029\/2019WR026236"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Luan, J., Zhang, Y., Tian, J., Meresa, H., and Liu, D. (2020). Coal mining impacts on catchment runoff. J. Hydrol., 589.","DOI":"10.1016\/j.jhydrol.2020.125101"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"969","DOI":"10.1175\/2009JHM1061.1","article-title":"Use of Remotely Sensed Actual Evapotranspiration to Improve Rainfall-Runoff Modeling in Southeast Australia","volume":"10","author":"Zhang","year":"2009","journal-title":"J. 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