2026-10-13T23:51:15Z https://www.scidb.cn/oai

10.57760/sciencedb.08029 2023-06-20T15:14:36Z

2023-06-20 Dataset of vegetation growing season NDVI with resolution of 250m from 2001 to 2020 and resolution of 30m in 2020 in Central Asia doi:10.57760/sciencedb.08029 en This dataset utilized MODIS13Q1 to generate long-term time series growing season mean NDVI data with a spatial resolution of 250m in Central Asia from 2001 to 2020. To obtain the 2020 growing season mean NDVI data with a higher spatial resolution of 30m, the Cubist algorithm based on rule segmentation regression was utilized to fuse the Landsat data and MODIS data. The generation of this dataset provides powerful data support for the analysis of vegetation dynamic change and spatial pattern in Central Asia. Normalized Difference Vegetation Index; Central Asia; Multi source remote sensing data fusion; Remote sensing product gao chao Ren Xiaoli Zeng Na Liu Chang Zhang Xinyu Zhang Li He Honglin PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset http://www.doi.org/10.11922/11-6035.csd.2023.0095.zh Science Data Bank