Leaf Area Index (LAI) - Switzerland [2021, Sentinel-2]

This dataset is an time-serie of Sentinel-2 Analysis Ready Data (ARD)- derived Leaf Area Index (LAI) computed from Sentinel-2 data. LAI is designed to analyze the foliage surface of our planet and it estimates the quantity of leaves in a specific region using the forumla LAI= 3.618*EVI - 0.118. For more details see Boegh et al. (2002) DOI: 10.1016/S0034-4257(01)00342-X

LAI is a unitless measure that is calculated as the ratio of the one-sided (illuminated) foliage area to the soil surface it can cover. This vegetation index is important to monitor crop and forest health, the environment, and climatic conditions.

Values are provided as integer and multiplied by 1000

Metrics: annual (_annual) and seasonal (_spring; _summer; _autumn; _winter) mean (_nanmean), standard dev (_nanstd), min (_nanmin), max (_nanmax), median (_nanmedian), and amplitude (_range)

Data format: GeoTiff

This dataset has been genereated with the Swiss Data Cube (http://www.swissdatacube.ch) in the frame of the ValPar.CH project

本数据集为基于哨兵2号（Sentinel-2）分析就绪数据（Analysis Ready Data，ARD）生成的叶面积指数（Leaf Area Index，LAI）时间序列数据，该LAI产品由哨兵2号影像计算得到。叶面积指数旨在分析全球植被冠层结构，可通过公式LAI=3.618×增强型植被指数（Enhanced Vegetation Index，EVI）−0.118估算特定区域的叶片总量，详细方法可参考Boegh等人（2002）的研究，DOI: 10.1016/S0034-4257(01)00342-X。

叶面积指数为无量纲度量指标，其定义为植被单侧（受光面）叶面积与对应覆盖地表面积的比值。该植被指数可用于监测作物与森林健康状况、生态环境及气候条件变化。

数据值以整数形式存储，且已乘以1000进行缩放。

统计指标包含：年际（后缀_annual）与季节（后缀_spring、_summer、_autumn、_winter）均值（_nanmean）、标准差（_nanstd）、最小值（_nanmin）、最大值（_nanmax）、中位数（_nanmedian）以及振幅（_range）。

数据格式为GeoTiff。

本数据集依托瑞士数据立方（Swiss Data Cube，http://www.swissdatacube.ch），于ValPar.CH项目框架下生成。