{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T20:43:45Z","timestamp":1765485825570,"version":"build-2065373602"},"reference-count":51,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2014,7,18]],"date-time":"2014-07-18T00:00:00Z","timestamp":1405641600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Forest canopy height is an important biophysical variable for quantifying carbon storage in terrestrial ecosystems. Active light detection and ranging (lidar) sensors with discrete-return or waveform lidar have produced reliable measures of forest canopy height. However, rigorous procedures are required for an accurate estimation, especially when using waveform lidar, since backscattered signals are likely distorted by topographic conditions within the footprint. Based on extracted waveform parameters, we explore how well a physical slope correction approach performs across different footprint sizes and study sites. The data are derived from airborne (Laser Vegetation Imaging Sensor; LVIS) and spaceborne (Geoscience Laser Altimeter System; GLAS) lidar campaigns. Comparisons against field measurements show that LVIS data can satisfactorily provide a proxy for maximum forest canopy heights (n = 705, RMSE = 4.99 m, and R2 = 0.78), and the simple slope correction grants slight accuracy advancement in the LVIS canopy height retrieval (RMSE of 0.39 m improved). In the same vein of the LVIS with relatively smaller footprint size (~20 m), substantial progress resulted from the physically-based correction for the GLAS (footprint size = ~50 m). When compared against reference LVIS data, RMSE and R2 for the GLAS metrics (n = 527) are improved from 12.74\u20137.83 m and from 0.54\u20130.63, respectively. RMSE of 5.32 m and R2 of 0.80 are finally achieved without 38 outliers (n = 489). From this study, we found that both LVIS and GLAS lidar campaigns could be benefited from the physical correction approach, and the magnitude of accuracy improvement was determined by footprint size and terrain slope.<\/jats:p>","DOI":"10.3390\/rs6076566","type":"journal-article","created":{"date-parts":[[2014,7,18]],"date-time":"2014-07-18T10:30:52Z","timestamp":1405679452000},"page":"6566-6586","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Application of Physically-Based Slope Correction for Maximum Forest Canopy Height Estimation Using Waveform Lidar across Different Footprint Sizes and Locations: Tests on LVIS and GLAS"],"prefix":"10.3390","volume":"6","author":[{"given":"Taejin","family":"Park","sequence":"first","affiliation":[{"name":"Department of Earth and Environment, Boston University, 675 Commonwealth Avenue, Boston, MA 02215, USA"}]},{"given":"Robert","family":"Kennedy","sequence":"additional","affiliation":[{"name":"Department of Earth and Environment, Boston University, 675 Commonwealth Avenue, Boston, MA 02215, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9082-3494","authenticated-orcid":false,"given":"Sungho","family":"Choi","sequence":"additional","affiliation":[{"name":"Department of Earth and Environment, Boston University, 675 Commonwealth Avenue, Boston, MA 02215, USA"}]},{"given":"Jianwei","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Earth and Environment, Boston University, 675 Commonwealth Avenue, Boston, MA 02215, USA"},{"name":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"}]},{"given":"Michael","family":"Lefsky","sequence":"additional","affiliation":[{"name":"Center for Ecological Analysis of Lidar, Natural Resource Ecology Laboratory,  Colorado State University, Fort Collins, CO 80523, USA"}]},{"given":"Jian","family":"Bi","sequence":"additional","affiliation":[{"name":"Department of Earth and Environment, Boston University, 675 Commonwealth Avenue, Boston, MA 02215, USA"}]},{"given":"Joshua","family":"Mantooth","sequence":"additional","affiliation":[{"name":"Department of Earth and Environment, Boston University, 675 Commonwealth Avenue, Boston, MA 02215, USA"}]},{"given":"Ranga","family":"Myneni","sequence":"additional","affiliation":[{"name":"Department of Earth and Environment, Boston University, 675 Commonwealth Avenue, Boston, MA 02215, USA"}]},{"given":"Yuri","family":"Knyazikhin","sequence":"additional","affiliation":[{"name":"Department of Earth and Environment, Boston University, 675 Commonwealth Avenue, Boston, MA 02215, USA"}]}],"member":"1968","published-online":{"date-parts":[[2014,7,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1016\/S1462-9011(03)00070-4","article-title":"A review of remote sensing technology in support of the Kyoto Protocol","volume":"6","author":"Rosenqvist","year":"2003","journal-title":"Environ. 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