Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2003): BSF, minNDTI, and NOS

Data information This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2003. They are calculated as follows: minNDTI (minimum NDTI) is determined as the minimum value of the six NDTI values over a year (Zheng et al., 2012). BSF (bare soil fraction) is calculated by dividing the number of pixels classified as bare surface within a year's time series (identified by the criterion of NDVI values below 0.35) by the total number of pixels analyzed in that year (Castaldi et al., 2019). NOS (number of seasons) indicates the frequency of cropping cycles within a year, calculated by counting NDVI peaks throughout the year (Li et al., 2014, Liu et al., 2020). As a part of a Data Cube This data represents a subset of the Time-series of Landsat-based Spectral Indices (EU, 30m) data cube. For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link. To cite this dataset, refer to the DOI available on the landing page. To access other data layers in the data cube, use the navigation catalog on the landing page as well. Support If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a Github Issue!数据集概况 本数据集提供了2003年的年度聚合预测因子BSF、minNDTI与NOS，各指标计算方式如下： minNDTI（minimum NDTI）为一年内6个NDTI值的最小值（Zheng等，2012）。 BSF（bare soil fraction，裸土占比）通过将一年内时间序列中以NDVI（Normalized Difference Vegetation Index，归一化差分植被指数）值低于0.35为判定标准归类为裸露地表的像元数量，除以该年度分析的总像元数计算得到（Castaldi等，2019）。 NOS（number of seasons，种植季数）用于表征一年内作物种植周期的频次，通过统计年内NDVI峰值的数量计算得出（Li等，2014；Liu等，2020）。 作为数据立方（Data Cube）的子集 本数据为《基于陆地卫星（Landsat）的光谱指数时序数据集（欧盟，30米）》数据立方的子集。如需获取完整概览与全套数据集信息，请通过提供的链接访问该数据立方的数据详情页面。 如需引用本数据集，请参阅数据详情页面上提供的DOI标识。 如需访问该数据立方中的其他数据图层，亦可通过数据详情页面上的导航目录进行操作。 技术支持 若您发现程序错误、数据伪影或不一致之处，或有相关疑问，请提交GitHub Issue！