Based on the MOD17A3HGF.006 dataset, the segmented images covering the Qilian Mountains region were processed using MRT tools and Python language code for batch stitching, projection conversion, cropping, etc., to generate MODIS MOD17A3HGF NPP data for the Qilian Mountains region from 2000 to 2019. The spatial resolution of this dataset is 500 meters, and the temporal resolution is 1 year.
The data source of this dataset is MOD17A3HGF.v006 version data, involving segmented image grids of h25v04, h25v04, and h26v05, with a spatial resolution of 500 m and a temporal resolution of 1 year.
(1) Trial run the MRT tool to generate prm files for MOD17A3HGF NPP data concatenation and projection conversion, and output the projection as albers projection (25, 47, 105, WGS1984, False'Esting: 4000000). (2) Generate a batch file using MATLAB language program to call the MRT tool and run it; (3) Utilize the vector boundary of Qilian Mountains, use Python batch cropping and other steps, and finally output and save in GeoTIFF format.
This dataset has the same quality as the source dataset MODIS MOD17A3HGF.v006. The unit of NPP data is kgC/m ²/year, with an effective range of -30000 to 32700, a scaling factor of 0.0001, and a filling value range of 32761 to 32767. Among them, 32761 is an unclassified land type, 32762 is an urban built-up area, 32763 is a permanent wetland or submerged swamp, 32764 is an area covered with snow or ice all year round, 32765 is a barren and sparse area (such as rocks, tundra, and deserts), 32766 is an inland freshwater coverage area, and 32767 is a filling value for other situations.
| # | number | name | type |
| 1 | 2021ZDKT0004 | other |
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CSTR:11738.11.ncdc.qlsst.2020.18
10.12072/ncdc.qlsst.db0008.2020