Braila - Phenological Annual Summary Statistics - 2019/2020

The phenology is not a scalar variable but it is an ensamble of sub-variables all based on MCARI2 vegetation index and for each one two statistics are given: expected value (mean) and a mask for all pixel with standard deviation of uncertianities larger than 10% the mean (CVmask) within the general name rule proposed: locality_variable_timestamp.extension variable formed in: Phenology-SubvariableStatistics The subvariables are: mean: mean value across the year - values range between 0-0.5 stdintra: standard deviation of the value across the year - values range between 0-0.05 maxpos: day of the year of the maximum value - values range between 0-0.5 sdinter: standard deviation across years - values range between 0-0.05 The statistics are: mean: Expected value of the subvariable across 100 simulation CVmask: 0-1 mask with value 1 for pixel with less than 10% of standard deviation compared to the mean The timestamp refer to a year or to two years

物候（phenology）并非单一标量变量，而是一组全部基于MCARI2植被指数的子变量集合。按照通用命名规则，单个变量的命名格式为"Locality_Variable_Timestamp.extension"，整体变量族的命名遵循"Phenology-SubvariableStatistics"。每个子变量均附带两项统计量：期望值（均值），以及针对不确定性标准差超出均值10%的所有像素的掩膜（CVmask）。
该数据集包含以下子变量：
1. mean：全年均值，取值范围为0~0.5；
2. stdintra：年内值标准差，取值范围为0~0.05；
3. maxpos：植被指数最大值对应的年中日序，取值范围为0~0.5；
4. sdinter：年际标准差，取值范围为0~0.05。
此处的两项统计量具体为：
1. mean：基于100次模拟得到的子变量期望值；
2. CVmask：取值范围为0~1的掩膜，当像素的不确定性标准差与均值之比低于10%时，掩膜值设为1。
时间戳可对应单一年份，亦可涵盖两个连续年份。