Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2017): BSF, minNDTI, and NOS

Data information This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2017. 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2017年度的年度聚合预测因子BSF、minNDTI与NOS，各指标的计算方式如下： minNDTI（minimum NDTI，最小NDTI）为一年内6个NDTI值的最小值（Zheng等，2012）。 BSF（bare soil fraction，裸土占比）通过将年度时间序列中被分类为裸地的像元数（以NDVI值低于0.35为判定标准）除以该年度分析的总像元数计算得到（Castaldi等，2019）。 NOS（number of seasons，季数）表示一年内作物种植周期的频次，通过统计全年的NDVI峰值数计算得到（Li等，2014；Liu等，2020）。 作为数据立方体（Data Cube）的一部分 本数据为基于Landsat的时序光谱指数（欧盟，30m）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（landing page）。 如需引用本数据集，请查阅该着陆页上提供的DOI。 如需访问该数据立方体中的其他数据图层，也可通过该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、伪影或数据不一致问题，或有任何疑问，请提交Github Issue！