In this file, the necessary technical details of the dataset is explained.
The LandSat geospatial dataset files are located under the following directory accessible from Digital Alliance (formerly Compute Canada) Graham cluster:
/project/rpp-kshook/Model_Output/Landsat/ # rpp-kshook allocation
/project/rrg-mclark/data/geospatial-data/Landsat # rrg-mclark allocationAnd the structure of the files is as following:
/project/rpp-kshook/Model_Output/Landsat/
├── land_change_2010v2_2015v2_30m_tif.zip
├── land_cover_2005v3_250m_tif.zip
├── land_cover_2010v2_250m_tif.zip
├── land_cover_2010v2_30m_tif.zip
├── land_cover_2015v2_30m_tif.zip
├── land_cover_2020_30m_tif.zip
└── dl-landcover.shThe spatial extent of this dataset (so far only NALCMS that is a land cover dataset) covers longitudes from approximately -180 to -50 degress and latitudes from approximately +14 to +84 degress. This dataset is available for 2005 and 2020. Furthermore, one static dataset variable is also included demonstrating the gains and losses of various land covers between 2010 and 2015. Please see the list of variables for more information.
| ☝️ | The 250m resolution datasets for 2005 and 2010 are not Landsat products, but MODIS. However, as a temporary measure, these two datasets are included in the landsat workflow in gistool. |
|---|
This variables of this dataset are detailed in the table below:
| # | Variable Name (used in gistool) |
Description | Comments |
|---|---|---|---|
| 1 | land-cover | Land cover classes for 2005, 2010, 2015 and 2020 | 2005 dataset info, 2010-30m dataset info, 2010-250m dataset info, 2015 dataset info, 2020 dataset info |
| 2 | land-cover-change | Land cover change (between 2010 and 2015) | 2010-2015 difference info |
Below the land cover types for each values of the .tif files is detailed based on [1].
| # | Class Value (used in gistool) |
Land Cover Description | RGB Value |
|---|---|---|---|
| 1 | 1 | Temperate or sub-polar needleleaf forest | RGB (0, 61, 0) |
| 2 | 2 | Sub-polar taiga needleleaf forest | RGB (148, 156, 112) |
| 3 | 3 | Tropical or sub-tropical broadleaf evergreen forest | RGB (0, 99, 0) |
| 4 | 4 | Tropical or sub-tropical broadleaf deciduous forest | RGB (30, 171, 5) |
| 5 | 5 | Temperate or sub-polar broadleaf deciduous forest | RGB (20, 140, 61) |
| 6 | 6 | Mixed forest | RGB (92, 117, 43) |
| 7 | 7 | Tropical or sub-tropical shrubland | RGB (179, 158, 43) |
| 8 | 8 | Temperate or sub-polar shrubland | RGB (179, 138, 51) |
| 9 | 9 | Tropical or sub-tropical grassland | RGB (232, 220, 94) |
| 10 | 10 | Temperate or sub-polar grassland | RGB (225, 207, 138) |
| 11 | 11 | Sub-polar or polar shrubland-lichen-moss | RGB (156, 117, 84) |
| 12 | 12 | Sub-polar or polar grassland-lichen-moss | RGB (186, 212, 143) |
| 13 | 13 | Sub-polar or polar barren-lichen-moss | RGB (64, 138, 112) |
| 14 | 14 | Wetland | RGB (107, 163, 138) |
| 15 | 15 | Cropland | RGB (230, 174, 102) |
| 16 | 16 | Barren lands | RGB (168, 171, 174) |
| 17 | 17 | Urban | RGB (220, 33, 38) |
| 18 | 18 | Water | RGB (76, 112, 163) |
| 19 | 19 | Snow and ice | RGB (255, 250, 255) |
Also, the details of the above table has been included in the following files: landsat_classes.csv.
The following file contains the following GeoTIFF data:
/project/rpp-kshook/Model_Output/Landsat/land_change_2010v2_2015v2_30m_tif.zip
├── NA_NALCMS_2010v2_2015v2_30m_barren_land_loss_and_gain.tif
├── NA_NALCMS_2010v2_2015v2_30m_cropland_loss_and_gain.tif
├── NA_NALCMS_2010v2_2015v2_30m_forest_loss_and_gain.tif
├── NA_NALCMS_2010v2_2015v2_30m_grassland_loss_and_gain.tif
├── NA_NALCMS_2010v2_2015v2_30m_shrubland_loss_and_gain.tif
├── NA_NALCMS_2010v2_2015v2_30m_snow_ice_loss_and_gain.tif
├── NA_NALCMS_2010v2_2015v2_30m_urban_loss_and_gain.tif
├── NA_NALCMS_2010v2_2015v2_30m_water_loss_and_gain.tif
├── NA_NALCMS_2010v2_2015v2_30m_wetland_loss_and_gain.tif
└── NA_NALCMS_land_change_2010v2_2015v2_30m.tifBased on the metadata also available in the mentioned .zip file, the GeoTIFF data containing the *_land_loss_and_gain.tif phrase in their file name contain "[g]eneral land cover gains an losses [...] at the North American scale [...] for the following land cover class groups:"
1. Forest
2. Shrubland
3. Grassland
4. Wetland
5. Cropland
6. Barren Land
7. Urban and Built-up
8. Water
9. Snow and Ice
And, the pixel values of the mentioned .tif files are as following:
| # | Pixel Value | Value Description |
|---|---|---|
| 1 | 1 | Gain |
| 2 | 2 | Loss |
Furthermore, the GeoTIFF data named NA_NALCMS_land_change_2010v2_2015v2_30m.tif also contains the landcover change data. Each pixel value of the GeoTIFF file contains information regarding transformations between different landcover classes of the dataset at the North American scale. Each pixel values of the file contains three or four digits, with "[t]he first one or two digits in each pixel value show the land cover class in 2010, while the third and four digits show the land cover class in 2015." An example of digit values are given in the following:
105 = Class 1 to 5 "Temperate or sub-polar needleleaf forest" to "Temperate or sub-polar broadleaf deciduous forest"
206 = Class 2 to 6 "Sub-polar taiga needleleaf forest" to "Mixed forest"
814 = Class 8 to 14 "Temperate or sub-polar shrubland" to "Wetland"
915 = Class 9 to 15 "Tropical or sub-tropical grassland" to "Cropland"
1018 = Class 10 to 18 "Temperate or sub-polar grassland" to "Water"
1502 = Class 15 to 02 "Cropland" to "Sub-polar taiga needleleaf forest"
1716 = Class 17 to 16 "Urban and built-up" to "Barren land"
1913 = Class 19 to 01 "Snow and ice" to "Sub-polar or polar barren-lichen-moss"