{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T01:27:37Z","timestamp":1760232457433,"version":"build-2065373602"},"reference-count":66,"publisher":"MDPI AG","issue":"22","license":[{"start":{"date-parts":[[2022,11,9]],"date-time":"2022-11-09T00:00:00Z","timestamp":1667952000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key R&amp;D Program of China","doi-asserted-by":"publisher","award":["2022YFE0101100","2021YFD1900600","2021YFC3201204"],"award-info":[{"award-number":["2022YFE0101100","2021YFD1900600","2021YFC3201204"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Dew has been considered a supplementary water resource as it constitutes an important water supply in many ecosystems, especially in arid and semiarid areas. Remote sensing allows large-scale surface observations, offering the possibility to estimate dew in such arid and semiarid regions. In this study, by screening and combining different remote sensing variables, we obtained a well-performing monthly scale dew yield estimation model based on the support vector machine (SVM) learning method. Using daytime and nighttime land surface temperatures (LST), the normalized difference vegetation index (NDVI), and three emissivity bands (3.929\u20133.989 \u00b5m, 10.780\u201311.280 \u00b5m, and 11.770\u201312.270 \u00b5m) as the model inputs, the simulated site-scale monthly dew yield achieved a correlation coefficient (CC) of 0.89 and a root mean square error (RMSE) of 0.30 (mm) for the training set, and CC = 0.59 and RMSE = 0.55 (mm) for the test set. Applying the model to the Heihe River Basin (HRB), the results showed that the annual dew yield ranged from 8.83 to 20.28 mm\/year, accounting for 2.12 to 66.88% of the total precipitation, with 74.81% of the area having an annual dew amount of 16 to 19 mm\/year. We expanded the model application to Northwest China and obtained a dew yield of 5~30 mm\/year from 2011 to 2020, indicating that dew is a non-negligible part of the water balance in this arid area. As a non-negligible part of the water cycle, the use of remote sensing to estimate dew can provide better support for future water resource assessment and analysis.<\/jats:p>","DOI":"10.3390\/rs14225653","type":"journal-article","created":{"date-parts":[[2022,11,10]],"date-time":"2022-11-10T02:07:48Z","timestamp":1668046068000},"page":"5653","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Accessible Remote Sensing Data Mining Based Dew Estimation"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6574-3548","authenticated-orcid":false,"given":"Ying","family":"Suo","sequence":"first","affiliation":[{"name":"Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China"}]},{"given":"Zhongjing","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China"},{"name":"State Key Lab (Breeding Base) of Land Degradation and Ecological Restoration in Northwest China, Ningxia University, Yinchuan 750021, China"}]},{"given":"Zixiong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5270-8049","authenticated-orcid":false,"given":"Steven R.","family":"Fassnacht","sequence":"additional","affiliation":[{"name":"ESS-Watershed Science, Colorado State University, Fort Collins, CO 80523-1476, USA"},{"name":"Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO 80523-1375, USA"},{"name":"Natural Resources Ecology Lab, Colorado State University, Fort Collins, CO 80523-1499, USA"}]}],"member":"1968","published-online":{"date-parts":[[2022,11,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"572","DOI":"10.1016\/j.jaridenv.2005.09.004","article-title":"Dew formation and water vapor adsorption in semi-arid environments\u2014A review","volume":"65","author":"Agam","year":"2006","journal-title":"J. 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