A global standardized high-resolution Leaf Area Index validation product

This dataset provides high-resolution Leaf Area Index (LAI) reference maps for validating global LAI products. It includes a total of 258 high-resolution reference LAI rasters which are available across 105 locations in 25 countries, with spatial resolutions depending on the sensor (e.g., 30m for Landsat, 10m for SPOT). The maps contain LAI effective values and are organized by validation study, country, and location, with standardized filenames for easy processing. The dataset is available for public access on Zenodo and can be used for further analysis and validation of LAI products. Five validation studies were included and the respective articles can be found below. Validation Studies; ImagineS: Fuster, B., S´anchez-Zapero, J., Camacho, F., García-Santos, V., Verger, A., Lacaze, R., Weiss, M., Baret, F., Smets, B., 2020. Quality assessment of PROBA-V LAI, fAPAR and fCOVER collection 300 m products of Copernicus global land service. Remote Sens.12 (6), 1017. Valeri: Baret, F., Weiss, M., Allard, D., Garrigues, S., Leroy, M., Jeanjean, H., Fernandes, R., Myneni, R., Privette, J., Morisette, J., 2021. VALERI: a network of sites and a methodology for the validation of medium spatial resolution land satellite products ⟨hal-03221068⟩. Bigfoot: Gower, S.T., Kirschbaum, A.A., 2008. BigFoot Field Data for North American Sites, 1999–2003. ORNL Distributed Active Archive Center. ValLAI_Crop: Song, B., Liu, L., Du, S. et al. ValLAI_Crop, a validation dataset for coarse-resolution satellite LAI products over Chinese cropland. Sci Data 8, 243 (2021). CNERN: Fang, Hongliang; Zhang, Yinghui; Wei, Shanshan; Li, Wenjuan; Ye, Yongchang; Sun, Tao; Liu, Weiwei (2019): The field measurements and high resolution reference LAI data in Hailun and Honghe, China [dataset]. PANGAEA Dataset description; LAI Reference Dataset.zip: Contains 258 high resolution standardized LAI rasters organized into subfolders (i.e. country, validation project, year, location ) Moderate Resolution LAI Products.zip: Contains moderate resolution LAI raster products (MODIS, PROBA-V, GLASS) and MODIS NDVI raster for 9 reference sites. These products were used to validate the high resolution LAI rasters that exist in the dataset. LAI_Reference_Dataset_Locations.csv: A list of high resolution LAI raster locations and their point coordinates本数据集提供高分辨率叶面积指数（Leaf Area Index, LAI）参考图，用于全球LAI产品的验证工作。数据集总计包含258幅高分辨率参考LAI栅格，覆盖25个国家的105个研究点位，空间分辨率依所用传感器有所差异（如Landsat为30m，SPOT为10m）。该参考图包含LAI有效值，按验证研究、国家及研究区域进行分类组织，并采用标准化文件名以方便后续处理。本数据集可在Zenodo平台公开获取，可用于LAI产品的进一步分析与验证。本数据集共包含5项验证研究，相关文献信息如下。 验证研究： ImagineS：Fuster, B., S´anchez-Zapero, J., Camacho, F., García-Santos, V., Verger, A., Lacaze, R., Weiss, M., Baret, F., Smets, B., 2020. 哥白尼全球陆地服务PROBA-V LAI、fAPAR及fCOVER 300m集合3产品的质量评估. 遥感（Remote Sens.）12(6), 1017. Valeri：Baret, F., Weiss, M., Allard, D., Garrigues, S., Leroy, M., Jeanjean, H., Fernandes, R., Myneni, R., Privette, J., Morisette, J., 2021. VALERI：用于中空间分辨率陆地卫星产品验证的站点网络与方法 ⟨hal-03221068⟩. Bigfoot：Gower, S.T., Kirschbaum, A.A., 2008. 1999–2003年北美站点BigFoot野外数据. 橡树岭国家实验室（ORNL）分布式活动档案中心. ValLAI_Crop：Song, B., Liu, L., Du, S. 等. ValLAI_Crop：中国农田上粗分辨率卫星LAI产品的验证数据集. 科学数据（Sci Data）8, 243 (2021). CNERN：Fang, Hongliang; Zhang, Yinghui; Wei, Shanshan; Li, Wenjuan; Ye, Yongchang; Sun, Tao; Liu, Weiwei (2019): 中国海伦与洪河的野外实测数据及高分辨率参考LAI数据集[数据集]. PANGAEA 数据集说明： LAI参考数据集.zip：包含258幅高分辨率标准化LAI栅格，按子文件夹分类（即按国家、验证项目、年份、研究区域组织）。 中分辨率LAI产品.zip：包含9个参考区域的中分辨率LAI栅格产品（MODIS、PROBA-V、GLASS）以及MODIS归一化植被指数（Normalized Difference Vegetation Index, NDVI）栅格，这些产品被用于验证本数据集内的高分辨率LAI栅格。 LAI_Reference_Dataset_Locations.csv：高分辨率LAI栅格位置及其点位坐标列表。