Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2005): BSF, minNDTI, and NOS

Data information This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2005. 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!数据集信息 本数据集提供2005年的年度聚合预测因子BSF、minNDTI及NOS，各指标的计算方式如下： 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）的计算方式为：将年度时间序列中被归类为裸地表层的像元数量（以归一化差异植被指数（NDVI，Normalized Difference Vegetation Index）值低于0.35为判定标准）除以该年度分析的总像元数（Castaldi等，2019）。 NOS（number of seasons，季数）表示一年内种植周期的频次，通过统计全年的NDVI峰值进行计算（Li等，2014；Liu等，2020）。 作为数据立方体（Data Cube）的子集 本数据为基于陆地卫星（Landsat）的时序光谱指数（欧盟区域，30m分辨率）数据立方体的子集。如需获取全面概述与完整数据集信息，请通过提供的链接访问该数据立方体的着陆页。 如需引用本数据集，请参阅着陆页上提供的数字对象唯一标识符（DOI，Digital Object Identifier）。如需访问该数据立方体中的其他数据图层，同样可通过着陆页上的导航目录进行操作。 技术支持 若您发现程序错误、数据伪影或不一致问题，或有任何疑问，请提交GitHub Issue！