Phenology metric layers and their classification layers for the NDVI approximated phenological cycle of Donana from 01/12/2015 to 31/11/2016.

Analysis of changes in the phenological cycle of different plant species provide important information that may be used to assess the impact of seasonal and inter-annual climate variations on terrestrial vegetation. Phenex software has been used for estimating phenology related layers for Donana marshes relying on NDVI time series covering one year period from 01/12/2015 to 31/11/2016. “Phenology_metrics_layer_Dec2015_Nov2016.tif” includes the following layers: (i) green up day, (ii) senescence day, (iii) day of max NDVI value, and (iv) total number of NDVI peaks. These layers are also provided separately with the names: “Greenup_day_Dec2015_Nov2016.tif”, “Senescence_day_Dec2015_Nov2016.tif”, “Max_day_Dec2015_Nov2016.tif”, “Number_of_peaks_Dec2015_Nov2016.tif”. Classification layers based on these layers have been also generated. In particular, "ISODATA_classification_all_input_layers_Dec2015_Nov2016.tif" layer contains the classes generated when providing all phenology related layers as input to the ISODATA algorithm, while "ISODATA_classification_three_input_layers_Dec2015_Nov2016.tif" layer contains contains the classes generated when providing three penology related layers (i.e. greenup day, day of max NDVI value, senescence day layers) as input to the ISODATA algorithm. The above files are accompanied by INSPIRE metadata XML files. Detailed information can be found in the “Readme.pdf” included in the zip containing the dataset.对不同植物物种物候周期变化的分析，可为评估季节及年际气候变化对陆地植被的影响提供关键依据。本数据集依托2015年12月1日至2016年11月31日的归一化差分植被指数（NDVI, Normalized Difference Vegetation Index）时间序列，借助Phenex软件对多纳纳沼泽的物候相关图层进行提取。文件"Phenology_metrics_layer_Dec2015_Nov2016.tif"包含以下四类图层：(i) 返青期（green up day），(ii) 枯黄期（senescence day），(iii) NDVI峰值日（day of max NDVI value），以及(iv) NDVI总峰值数（total number of NDVI peaks）。上述四类图层也可通过单独文件获取，对应文件名分别为："Greenup_day_Dec2015_Nov2016.tif"、"Senescence_day_Dec2015_Nov2016.tif"、"Max_day_Dec2015_Nov2016.tif"以及"Number_of_peaks_Dec2015_Nov2016.tif"。基于上述物候图层，本数据集还生成了分类图层。具体而言，文件"ISODATA_classification_all_input_layers_Dec2015_Nov2016.tif"包含以全部物候相关图层作为输入，经迭代自组织数据分析算法（ISODATA, Iterative Self-Organizing Data Analysis Technique Algorithm）运算得到的分类结果；而文件"ISODATA_classification_three_input_layers_Dec2015_Nov2016.tif"则包含以三类物候相关图层（即返青期、NDVI峰值日及枯黄期图层）作为输入，经ISODATA算法运算得到的分类结果。上述所有文件均附带欧洲空间信息基础设施（INSPIRE）元数据XML文件。数据集的详细说明可查阅压缩包内的"Readme.pdf"文件。