SWECO25: Remote Sensing (rs)

The remote-sensing indices category contains the "sdc" dataset. 

The sdc dataset (remote-sensing indices category) provides data on vegetation indices in Switzerland. After reprojecting and resampling data from the Swiss Data cube (Chatenoux et al., 2021) to the SWECO25 grid, we generated mean and standard deviation layers for five indices (NDVI, NDWI, LAI, GCI, and EVI) at a yearly time step for the 1996-2021 period, when available. This dataset includes a total of 243 layers. Final values were rounded and multiplied by 100. However, for layers that were initially multiplied by 1000 (LAI, GCI, EVI), they were divided by 10 instead. The detailed list of layers available is provided in SWECO25_datalayers_details_rs.csv and includes information on the category, dataset, variable name (long), variable name (short), period, sub-period, start year, end year, attribute, radii, unit, and path.

References:

Chatenoux, B. et al. The Swiss data cube, analysis ready data archive using earth observations of Switzerland. Scientific data 8, 295 (2021).

Külling, N., Adde, A., Fopp, F., Schweiger, A. K., Broennimann, O., Rey, P.-L., Giuliani, G., Goicolea, T., Petitpierre, B., Zimmermann, N. E., Pellissier, L., Altermatt, F., Lehmann, A., & Guisan, A. (2024). SWECO25: A cross-thematic raster database for ecological research in Switzerland. Scientific Data, 11(1), Article 1. https://doi.org/10.1038/s41597-023-02899-1

V2: metadata update

遥感指数分类下包含sdc数据集。

sdc数据集（归属遥感指数分类）提供瑞士境内的植被指数数据。本数据集将源自瑞士数据立方体（Swiss Data Cube，Chatenoux等，2021）的数据重投影并重采样至SWECO25网格后，针对1996-2021时段（数据可获取的年份）以年为时间步长，生成了5种植被指数：归一化差分植被指数（NDVI）、归一化差分水体指数（NDWI）、叶面积指数（LAI）、绿度植被指数（GCI）以及增强型植被指数（EVI）的均值与标准差图层。本数据集共计包含243个图层。最终数值均经过取整并乘以100处理，但对于原本需乘以1000的图层（LAI、GCI、EVI），实际处理时改为除以10。可用图层的详细清单见SWECO25_datalayers_details_rs.csv文件，其中包含分类、数据集、变量全称、变量简称、时段、子时段、起始年份、结束年份、属性、半径、单位以及文件路径等信息。

参考文献：
1. Chatenoux, B. 等. 利用瑞士地球观测数据构建的分析就绪数据存档——瑞士数据立方体[J]. 科学数据, 8, 295 (2021).
2. Külling, N. 等. SWECO25：面向瑞士生态学研究的跨主题栅格数据库[J]. 科学数据, 11(1), 第1篇文章. https://doi.org/10.1038/s41597-023-02899-1 (2024).
版本2：元数据更新