{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T15:16:00Z","timestamp":1784042160642,"version":"3.55.0"},"reference-count":48,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2020,6,29]],"date-time":"2020-06-29T00:00:00Z","timestamp":1593388800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Key R&amp;D Program of China","award":["2017YFD0600904"],"award-info":[{"award-number":["2017YFD0600904"]}]},{"name":"the Fundamental Research Funds for the Central Universities","award":["2572019AB18"],"award-info":[{"award-number":["2572019AB18"]}]},{"name":"Key Laboratory of Satellite Mapping Technology and Application, National Administration of Surveying, Mapping and Geoinformation","award":["KLSMTA-201706"],"award-info":[{"award-number":["KLSMTA-201706"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>As a continuation of Ice, Cloud, and Land Elevation Satellite-1 (ICESat-1), the ICESat-2\/Advanced Topographic Laser Altimeter System (ATLAS) employs a micro-pulse multi-beam photon counting approach to produce photon data for measuring global terrain. Few studies have assessed the accuracy of different ATLAS channels in retrieving ground topography in forested terrain. This study aims to assess the accuracy of measuring ground topography in forested terrain using different ATLAS channels and the correlation between laser intensity parameters, laser pointing angle parameters, and elevation error. The accuracy of ground topography measured by the ATLAS footprints is evaluated by comparing the derived Digital Terrain Model (DTM) from the ATL03 (Global Geolocated Photon Data) and ATL08 (Land and Vegetation Height) products with that from the airborne Light Detection And Ranging (LiDAR). Results show that the ATLAS product performed well in the study area at all laser intensities and laser pointing angles, and correlations were found between the ATLAS DTM and airborne LiDAR DTM (coefficient of determination\u2013\u2013R2 = 1.00, root mean squared error\u2013\u2013RMSE = 0.75 m). Considering different laser intensities, there is a significant correlation between the tx_pulse_energy parameter and elevation error. With different laser pointing angles, there is no significant correlation between the tx_pulse_skew_est, tx_pulse_width_lower, tx_pulse_width_upper parameters and the elevation error.<\/jats:p>","DOI":"10.3390\/rs12132084","type":"journal-article","created":{"date-parts":[[2020,6,29]],"date-time":"2020-06-29T11:17:17Z","timestamp":1593429437000},"page":"2084","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":46,"title":["Assessing the Performance of ICESat-2\/ATLAS Multi-Channel Photon Data for Estimating Ground Topography in Forested Terrain"],"prefix":"10.3390","volume":"12","author":[{"given":"Yanqiu","family":"Xing","sequence":"first","affiliation":[{"name":"Centre for Forest Operations and Environment, Northeast Forestry University, Harbin 150040, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5722-1064","authenticated-orcid":false,"given":"Jiapeng","family":"Huang","sequence":"additional","affiliation":[{"name":"Centre for Forest Operations and Environment, Northeast Forestry University, Harbin 150040, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Armin","family":"Gruen","sequence":"additional","affiliation":[{"name":"Institute of Theoretical Physics, Federal Institute of Technology (ETH), 8092 Zurich, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Qin","sequence":"additional","affiliation":[{"name":"Centre for Forest Operations and Environment, Northeast Forestry University, Harbin 150040, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,6,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.foreco.2019.03.053","article-title":"Stand structure drives disparities in carbon storage in northern hardwood-conifer forests","volume":"442","author":"Thom","year":"2019","journal-title":"For. 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