2015、2020、2025年桂林市森林覆盖及主要树种空间分布数据集 (30 m)
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广西壮族自治区桂林市位于我国南方典型的喀斯特地貌区，地形复杂、森林类型多样。2015、2020、2024年桂林市森林覆盖度及主要树种空间分布数据集（30 m）以Landsat 7与Landsat 8卫星影像为数据源，采用机器学习分类方法生成。数据集将森林分为常绿针叶林、针阔混交林、落叶阔叶林和常绿阔叶林。数据空间分辨率为30米，时间覆盖2015年、2020年与2024年，可为区域森林资源监测、植被动态分析及生态保护评估提供基础数据支撑。2015、2020、2024年桂林市森林覆盖度及主要树种空间分布数据集以TIFF格式影像记录了桂林市森林树种常绿针叶林、针阔混交林、落叶阔叶林和常绿阔叶林的空间分布信息。本数据基于Landsat7-8，以常绿针叶林、针叶、阔叶混交林、落叶阔叶林和常绿阔叶林实地采样样本数据集为训练集和验证集，训练机器学习模型，精度优于85％，得到结果的空间分布数据。后由专业人员结合实地勘察信息比对验证，人工校正训练样本获得更准确的分布结果。
Guilin City, Guangxi Zhuang Autonomous Region, is situated in a typical karst landform region in southern China, boasting complex terrain and diverse forest types. The Spatial Distribution Dataset of Forest Coverage and Main Tree Species in Guilin (2015, 2020, 2024, 30 m) was developed using Landsat 7 and Landsat 8 satellite imagery as data sources through machine learning classification approaches. This dataset categorizes forests into four types: evergreen coniferous forests, coniferous and broad-leaved mixed forests, deciduous broad-leaved forests, and evergreen broad-leaved forests. With a spatial resolution of 30 meters and temporal coverage covering 2015, 2020 and 2024, the dataset offers fundamental data support for regional forest resource monitoring, vegetation dynamic analysis and ecological protection assessment. The dataset records the spatial distribution information of the four aforementioned forest types in Guilin in TIFF format imagery. Based on Landsat 7-8 imagery, this dataset employs field sampling datasets of evergreen coniferous forests, coniferous stands, coniferous and broad-leaved mixed forests, deciduous broad-leaved forests and evergreen broad-leaved forests as training and validation sets to train machine learning models, achieving an accuracy exceeding 85% to generate the spatial distribution results. Subsequently, professional personnel conducted comparison and verification based on field survey information, and manually corrected the training samples to obtain more accurate distribution outcomes.
