{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T13:59:26Z","timestamp":1762955966139,"version":"build-2065373602"},"reference-count":46,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2018,11,8]],"date-time":"2018-11-08T00:00:00Z","timestamp":1541635200000},"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>A variety of canopy metrics were extracted from the snow-off airborne light detection and ranging (lidar) measurements over three study areas in the central and southern Sierra Nevada. Two of the sites, Providence and Wolverton, had wireless snow-depth sensors since 2008, with the third site, Pinecrest having sensors since 2014. At Wolverton and Pinecrest, images were captured and the sky-view factors were derived from hemispherical-view photos. We found the variation of snow accumulation across the landscape to be significantly related to canopy-cover conditions. Using a regularized regression model Elastic Net to model the normalized snow accumulation with canopy metrics as independent variables, we found that about     50 %     of snow accumulation variability at each site can be explained by the canopy metrics from lidar.<\/jats:p>","DOI":"10.3390\/rs10111769","type":"journal-article","created":{"date-parts":[[2018,11,9]],"date-time":"2018-11-09T03:08:02Z","timestamp":1541732882000},"page":"1769","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Canopy Effects on Snow Accumulation: Observations from Lidar, Canonical-View Photos, and Continuous Ground Measurements from Sensor Networks"],"prefix":"10.3390","volume":"10","author":[{"given":"Zeshi","family":"Zheng","sequence":"first","affiliation":[{"name":"Department of Civil and Environmental Engineering, University of California, Berkeley, CA 94720, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6995-6663","authenticated-orcid":false,"given":"Qin","family":"Ma","sequence":"additional","affiliation":[{"name":"Sierra Nevada Research Institute, University of California, Merced, CA 95343, USA"}]},{"given":"Kun","family":"Qian","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, University of California, Berkeley, CA 94720, USA"},{"name":"Department of Civil and Environmental Engineering, University of Texas, Austin, TX 78712, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0811-8535","authenticated-orcid":false,"given":"Roger C.","family":"Bales","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, University of California, Berkeley, CA 94720, USA"},{"name":"Sierra Nevada Research Institute, University of California, Merced, CA 95343, USA"}]}],"member":"1968","published-online":{"date-parts":[[2018,11,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Bales, R.C., Molotch, N.P., Painter, T.H., Dettinger, M.D., Rice, R., and Dozier, J. 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