全球热带森林0.25°分辨率逐月叶龄组分叶面积指数数据集（2001-2018年）
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叶面积指数（Leaf Area Index, LAI）是表征叶片疏密程度和冠层结构特征的重要植被参数。依据叶龄划分LAI组分，可以细化常绿阔叶林的叶片季节动态。全球尚未开展连续的区域性热带森林叶龄组分LAI的遥感估算。为了准确刻画长时间区域尺度上不同叶龄组分的 LAI 季节动态，该数据集根据不同叶龄下叶片的光合速率差异特性，利用日光诱导叶绿素荧光数据（Solar-Induced Chlorophyll Fluorescence，SIF）估算的植被总初级生产力产品（重构的TROPOMI卫星SIF-derived GPP）遥感反演不同叶龄的LAI，即幼叶（LAIyoung）、成熟叶（LAImature）和老龄叶叶面积指数（LAIold），可为热带森林不同叶龄叶片的叶面积指数季节变化和格局变化分析等提供数据支持。
Leaf Area Index (LAI) is a critical vegetation parameter that characterizes leaf density and canopy structural features. Partitioning LAI by leaf age enables refinement of the seasonal leaf dynamics of evergreen broad-leaved forests. To date, continuous remote sensing estimation of leaf age-component LAI in regional tropical forests has not been conducted globally. To accurately characterize the seasonal dynamics of LAI for different leaf age classes at regional scales over long time periods, this dataset retrieves LAI for young leaves (LAI<sub>young</sub>), mature leaves (LAI<sub>mature</sub>), and old leaves (LAI<sub>old</sub>) via remote sensing. The retrieval is based on the differences in leaf photosynthetic rates across various leaf age groups, using the vegetation gross primary productivity (GPP) product derived from Solar-Induced Chlorophyll Fluorescence (SIF) data — specifically the reconstructed TROPOMI satellite SIF-derived GPP. This dataset provides data support for analyses of seasonal variations and spatial pattern changes of leaf age-component LAI in tropical forests, as well as other relevant studies.
