Global urban tree LAI/SAI dataset for urban climate modeling

This dataset is the first global urban tree LAI/SAI product at a 500-meter resolution, specifically designed for urban climate modeling to simulate the tree's effects in urban environments. It covers the period from 2000 to 2022 and was developed by using a reprocessed MODIS LAI product with a Random Forest model, demonstrating high accuracy. The original product is a netCDF4 file that has been compressed into three tar.gz files: global_15s.tar.gz, global_0.05.tar.gz, and global_0.5.tar.gz, with resolutions of 500 m, 0.05°, and 0.5°, respectively. Each netCDF4 file in the compressed archive is named Global_UrbanTree_LAI_XX_YYYY.nc, where XX represents the resolution and YYYY represents the year. Each file contains monthly LAI/SAI data for that year, with data dimensions of mon x lat x lon.本数据集为全球首款500米分辨率的城市树木叶面积指数（Leaf Area Index, LAI）/茎面积指数（Stem Area Index, SAI）产品，专为城市气候建模设计，用于模拟城市环境中树木的气候影响效应。数据集时间跨度为2000年至2022年，基于经再处理的中分辨率成像光谱仪（Moderate-resolution Imaging Spectroradiometer, MODIS）LAI产品，结合随机森林（Random Forest）模型开发，精度表现优异。 原始产品为netCDF4格式文件，现已被压缩为三个tar.gz格式压缩包：global_15s.tar.gz、global_0.05.tar.gz及global_0.5.tar.gz，对应分辨率分别为500米、0.05°及0.5°。压缩归档内的每个netCDF4文件命名格式为Global_UrbanTree_LAI_XX_YYYY.nc，其中XX代表分辨率标识，YYYY代表数据年份。每个文件包含对应年份的月度LAI/SAI数据，数据维度为mon × lat × lon。