Published November 3, 2021
| Version v3
Dataset
Open
A long-term 250-m resolution Normalized Difference Vegetation Index (NDVI) product for 1982–2020 in Idaho
Description
- We developed a novel spatio-temporal fusion method to downscale the AVHRR NDVI products to the Moderate-resolution Imaging Spectroradiometer (MODIS) resolution. The algorithm effectively combines the high spatial variability of the MODIS NDVI data and the long-term temporal information of the AVHRR NDVI data. Finally, we successfully generated a monthly global long-term (since 1982) and high-resolution (250m) NDVI database.
- Here we provide the downscaled NDVI dataset of Idaho from 1982 to 2020.
- Datasets for other regions can be easily produced by the GEE platform with the code provided in the github (https://github.com/babyfoal/downsclaed_NDVI/tree/main).
- The spatial distribution and temporal variation of this dataset have been both well validated by the simulated and real-data experiments.
Files
1982-04.tif
Files
(19.5 GB)
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