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However, producing fine vegetation distribution in a complex mountainous area remains a huge challenge. This study developed a framework based on multi-source high-resolution satellite images to strengthen the understanding of vertical features of vegetation distribution. We fused GaoFen-6 and Sentinel-2 data to produce 2 m multispectral data, combined with ALOS PALSAR digital elevation model (DEM) data, and used an object-based method to extract variables for establishing a classification model. The spatial distribution of vegetation types in Wuyishan National Park (WNP) was then obtained using a hierarchical random forest classifier. The characteristics of different vegetation types along the elevation gradient and their distribution patterns under different human protection levels were finally examined. The results show that (1) An overall accuracy of 87.11% and a Kappa coefficient of 0.85 for vegetation classification was achieved. (2) WNP exhibits obviously vertical differentiation of vegetation types, showing four compound dominant zone groups and five dominant belts. (3) The composition of vegetation types in the scenic area differs significantly from other regions. The proportions of Masson pine and Chinese fir exhibit a noticeably decreasing trend as the distance increases away from roads, while the changes in broadleaf forest and bamboo forest are less pronounced.<\/jats:p>","DOI":"10.3390\/rs15205023","type":"journal-article","created":{"date-parts":[[2023,10,19]],"date-time":"2023-10-19T05:43:28Z","timestamp":1697694208000},"page":"5023","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Vertical Characteristics of Vegetation Distribution in Wuyishan National Park Based on Multi-Source High-Resolution Remotely Sensed Data"],"prefix":"10.3390","volume":"15","author":[{"given":"Yongpeng","family":"Ye","sequence":"first","affiliation":[{"name":"Fujian Provincial Key Laboratory for Subtropical Resources and Environment, Fujian Normal University, Fuzhou 350117, China"},{"name":"Institute of Geography, Fujian Normal University, Fuzhou 350007, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4767-5710","authenticated-orcid":false,"given":"Dengsheng","family":"Lu","sequence":"additional","affiliation":[{"name":"Fujian Provincial Key Laboratory for Subtropical Resources and Environment, Fujian Normal University, Fuzhou 350117, China"},{"name":"Institute of Geography, Fujian Normal University, Fuzhou 350007, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1058-0120","authenticated-orcid":false,"given":"Zuohang","family":"Wu","sequence":"additional","affiliation":[{"name":"Fujian Institute of Meteorological Science, Fuzhou 350001, China"}]},{"given":"Kuo","family":"Liao","sequence":"additional","affiliation":[{"name":"Fujian Institute of Meteorological Science, Fuzhou 350001, China"}]},{"given":"Mingxing","family":"Zhou","sequence":"additional","affiliation":[{"name":"Fujian Provincial Key Laboratory for Subtropical Resources and Environment, Fujian Normal University, Fuzhou 350117, China"},{"name":"Institute of Geography, Fujian Normal University, Fuzhou 350007, China"}]},{"given":"Kai","family":"Jian","sequence":"additional","affiliation":[{"name":"Fujian Provincial Key Laboratory for Subtropical Resources and Environment, Fujian Normal University, Fuzhou 350117, China"},{"name":"Institute of Geography, Fujian Normal University, Fuzhou 350007, China"}]},{"given":"Dengqiu","family":"Li","sequence":"additional","affiliation":[{"name":"Fujian Provincial Key Laboratory for Subtropical Resources and Environment, Fujian Normal University, Fuzhou 350117, China"},{"name":"Institute of Geography, Fujian Normal University, Fuzhou 350007, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,10,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"569","DOI":"10.1016\/j.tree.2007.09.006","article-title":"The use of \u2018altitude\u2019 in ecological research","volume":"22","year":"2007","journal-title":"Trends Ecol. 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