Data underlying: 'Assessing the spatio-temporal cumulative drought effects on two Mediterranean forest types in Central Chile.'

This dataset is associated with "Assessing the spatio-temporal cumulative drought effects on two Mediterranean forest types in Central Chile" ( DOI with link will come after publication). The dataset includes the following remote sensing data in GeoTIFF format:<br>Enhance Vegetation Index (EVI) and Moisture Stress Index (MSI) anomalies derived from Daily MODIS NADIR BRDF-Adjusted Reflectance (NBAR) MCD43A4 V061 data. Evapotranspiration (ET) Anomalies derived from 8-day MODIS MOD16A2GF V061 data.Cumulative sums raster stack for EVI, MSI, and ET.Detected events: all registered and largest (negative/positive).<br>Other data that is included:<br>Tabular information used for modelling.Mean time series for EVI, MSI and ET for the whole study area used for the time-series analysis.R scripts for the event detection procedure and auxiliary functions.<br>All raw input data is publicly available at their original sources.

本数据集关联研究《评估智利中部两种地中海森林类型的时空累积干旱效应》（发表后将附上带链接的DOI）。<br>本数据集包含以下GeoTIFF格式的遥感数据：由每日MODIS天底视角双向反射分布函数（Bidirectional Reflectance Distribution Function, BRDF）校正反射率（Nadir BRDF-Adjusted Reflectance, NBAR）MCD43A4 V061数据推导得到的增强植被指数（Enhanced Vegetation Index, EVI）与水分胁迫指数（Moisture Stress Index, MSI）异常值；由8天合成MODIS MOD16A2GF V061数据推导得到的蒸散量（Evapotranspiration, ET）异常值；EVI、MSI及ET的累积和栅格堆栈；已识别事件：所有已登记的事件与规模最大的（负向/正向）事件。<br>其余包含的数据如下：用于建模的表格信息；用于全研究区时间序列分析的EVI、MSI及ET平均时间序列；用于事件检测流程与辅助功能的R脚本。<br>所有原始输入数据均可从其原始来源公开获取。