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Spatiotemporal Dynamics of Canopy Height and Carbon Storage in the Hainan Jianfengling National Nature Reserve: A Multimodal Remote Sensing Data Fusion Approach

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posted on 2025-09-04, 09:24 authored by Zixuan QiuZixuan Qiu, Zhikuan Liu, Qingping Ling, Cai Wang
<p dir="ltr">This study integrated ground-based plot surveys and multi-source remote sensing data to develop a canopy height and aboveground biomass estimation model for Hainan Jianfengling National Nature Reserve from 2003 to 2023. To support scientific transparency and model reproducibility, a portion of the research data has been organized and made publicly available. The dataset includes the following three categories:</p><p dir="ltr">1、Survey data of tropical rainforest plots:</p><p dir="ltr">Biomass data of 140 sample plots: Includes 140 sample plots (10 m × 10 m), with information on plot ID, geographic coordinates, forest type, and biomass of tree and understory layers.</p><p dir="ltr">Biomass data of 64 historical plots: Contains biomass data from 64 historical plots (25.8 m × 25.8 m), including plot ID, location, and aboveground biomass.</p><p dir="ltr">Data of individual trees from 140 sample plots: Covers detailed measurements of 4,732 individual trees, including species name, diameter at breast height (DBH), tree height, crown volume, and estimated biomass per tree.</p><p dir="ltr">2、Forest type distribution data:</p><p dir="ltr">Based on the natural forest classification dataset, GLC_FCS30D land cover data, and ALOS DEM elevation data, this shapefile represents forest type distribution in Hainan Jianfengling National Nature Reserve from 2003 to 2023 at a 30-meter spatial resolution (WGS 1984 coordinate system).</p><p dir="ltr">3、Remote sensing estimation results of biomass and canopy height of Hainan Jianfengling National Nature Reserve from 2003 to 2023:</p><p dir="ltr">Includes annual maps of forest aboveground biomass density and canopy height distribution in Hainan Jianfengling National Nature Reserve from 2003 to 2023. All data are provided in GeoTIFF format with a spatial resolution of 30 meters, suitable for GIS-based analysis and visualization.</p>

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