<p>The 2016 Central Asia Vegetation Net Primary Productivity (NPP) raster dataset contains 12 periods of data in 2016. The data range includes Central Asia in Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, Uzbekistan, and Xinjiang in China. The spatial resolution is 10000 meters and is sinusoidal projection. </p>
Global daily NPP simulation data product.
1. Data pretreatment: Read daily NPP data in the original.img format, parse the year and day sequence information in the file name, and mark invalid values (such as-9999) to avoid interfering with subsequent calculations. 2. Time dimension aggregation: Group daily data by month, and generate monthly NPP data by summing or averaging. 3. Spatial resampling: Upscale the original data with a resolution of about 8 kilometers (0.072727°) to 10 kilometers (about 0.09°). Select average or bilinear interpolation methods for resampling to ensure consistency of large-scale spatial distribution. 4. Result output and verification: Save the processed monthly data in GeoTIFF or NetCDF format, retaining the geographical projection information; verify the accuracy through statistical distribution comparison (mean, standard deviation) or measured data to ensure the rationality of the data.
The spatial resolution is 10000 meters.
| # | number | name | type |
| 1 | XDA20000000 | Other |
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CSTR:33110.11.ariddc.00515
10.12389/ariddc.00515
