Combined MODIS IGBP data from the MCD12Q1 product over southwestern Asia, 2020.
View full-size imageThe Terra and Aqua combined Moderate Resolution Imaging Spectroradiometer (MODIS) Land Cover Type (MCD12Q1) Version 6.1 data product provides global land cover types at yearly intervals (2001-2022). The MCD12Q1 Version 6.1 data product is derived using supervised classifications of MODIS Terra and Aqua reflectance data. Land cover types are derived from the International Geosphere-Biosphere Programme (IGBP), University of Maryland (UMD), Leaf Area Index (LAI), BIOME-Biogeochemical Cycles (BGC), and Plant Functional Types (PFT) classification schemes. The supervised classifications then undergo additional post-processing that incorporate prior knowledge and ancillary information to further refine specific classes. Additional land cover property assessment layers are provided by the Food and Agriculture Organization (FAO) Land Cover Classification System (LCCS) for land cover, land use, and surface hydrology.
Layers for Land Cover Type 1-5, Land Cover Property 1-3, Land Cover Property Assessment 1-3, Land Cover Quality Control (QC), and a Land Water Mask are provided in each MCD12Q1 Version 6.1 Hierarchical Data Format 4 (HDF4) file.
Validation at stage 2 has been achieved for the MODIS Land Cover products. Further details regarding MODIS land product validation for the MCD12 data products are available from the MODIS Land Team Validation site.
| Characteristic | Description |
|---|---|
| Collection | Combined MODIS |
| DOI | 10.5067/MODIS/MCD12Q1.061 |
| File Size | ~15 MB |
| Temporal Resolution | Yearly |
| Temporal Extent | 2001-01-01 to 2022-12-31 |
| Spatial Extent | Global |
| Coordinate System | Sinusoidal |
| Datum | N/A |
| File Format | HDF-EOS |
| Geographic Dimensions | 1200 km x 1200 km |
| Characteristic | Description |
|---|---|
| Number of Science Dataset (SDS) Layers | 13 |
| Columns/Rows | 2400 x 2400 |
| Pixel Size | 500 m |
| SDS Name | Description | Units | Data Type | Fill Value | No Data Value | Valid Range | Scale Factor |
|---|---|---|---|---|---|---|---|
| LC_Type1 | Land Cover Type 1: Annual International Geosphere-Biosphere Programme (IGBP) classification | Class | 8-bit unsigned integer | 255 | N/A | 1 to 17 | N/A |
| LC_Type2 | Land Cover Type 2: Annual University of Maryland (UMD) classification | Class | 8-bit unsigned integer | 255 | N/A | 0 to 15 | N/A |
| LC_Type3 | Land Cover Type 3: Annual Leaf Area Index (LAI) classification | Class | 8-bit unsigned integer | 255 | N/A | 0 to 10 | N/A |
| LC_Type4 | Land Cover Type 4: Annual BIOME-Biogeochemical Cycles (BGC) classification | Class | 8-bit unsigned integer | 255 | N/A | 0 to 8 | N/A |
| LC_Type5 | Land Cover Type 5: Annual Plant Functional Types classification | Class | 8-bit unsigned integer | 255 | N/A | 0 to 11 | N/A |
| LC_Prop1 | FAO-Land Cover Classification System 1 (LCCS1) land cover layer | Class | 8-bit unsigned integer | 255 | N/A | 1 to 43 | N/A |
| LC_Prop2 | FAO-LCCS2 land use layer | Class | 8-bit unsigned integer | 255 | N/A | 1 to 40 | N/A |
| LC_Prop3 | FAO-LCCS3 surface hydrology layer | Class | 8-bit unsigned integer | 255 | N/A | 1 to 51 | N/A |
| LC_Prop1_Assessment | LCCS1 land cover layer confidence | Percent | 8-bit unsigned integer | 255 | N/A | 0 to 100 | N/A |
| LC_Prop2_Assessment | LCCS2 land use layer confidence | Percent | 8-bit unsigned integer | 255 | N/A | 0 to 100 | N/A |
| LC_Prop3_Assessment | LCCS3 surface hydrology layer confidence | Percent | 8-bit unsigned integer | 255 | N/A | 0 to 100 | N/A |
| QC | Product quality flags | Quality Flag | 8-bit unsigned integer | 255 | N/A | 0 to 10 | N/A |
| LW | Binary land (class 2) / water (class 1) mask derived from MOD44W | Class | 8-bit unsigned integer | 255 | N/A | 1 to 2 | N/A |
Quality information is provided in Table 11 of the User Guide.
The "units" field is missing in the metadata, however, this information can be found in Table 1 of the User Guide.
Known issues are described in Section 2.2 of the User Guide.
For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.