import numpy as np
from geog0111.process_timeseries import mosaic_and_clip
# set to True if you want to override
# the MODIS projection (see above)
use_6974 = False
'''
https://stackoverflow.com/questions/10454316/
how-to-project-and-resample-a-grid-to-match-another-grid-with-gdal-python
'''
# first get an exemplar LAI file, clipped to
# the required limits. We will use this to match
# the t2 dataset to
match_filename = mosaic_and_clip(tiles,1,year,ofolder='tmp',\
country_code=country_code,shpfile=shpfile,frmat='GTiff')
print(match_filename)
'''
Now get the projection, geotransform and dataset
size that we want to match to
'''
match_ds = gdal.Open(match_filename, gdalconst.GA_ReadOnly)
match_proj = match_ds.GetProjection()
match_geotrans = match_ds.GetGeoTransform()
wide = match_ds.RasterXSize
high = match_ds.RasterYSize
print('\nProjection from file:')
print(match_proj,'\n')
url = 'https://e4ftl01.cr.usgs.gov//MODV6_Cmp_C/MOTA/'
filename = get_modis_files(1,year,[tiles],base_url=url,\
version=6,verbose=True,\
destination_folder='data',\
product='MCD12Q1')[0]
print(filename)
except:
print('server may be down')
'''
Extract and clip the dataset
'''
lc_data = mosaic_and_clip(tiles,
1,
year,
folder='data',
layer="LC_Type3",
shpfile='data/TM_WORLD_BORDERS-0.3.shp',
country_code=country_code,
product='MCD12Q1',
frmat="MEM")
'''
Define LC table from userguide
https://lpdaac.usgs.gov/sites/default/\
files/public/product_documentation/\
mcd12_user_guide_v6.pdf
'''
table = '''
|Water Bodies|0|At least 60% of area is covered by permanent water bodies.|
|Grasslands|1|Dominated by herbaceous annuals (<2m) includ- ing cereal croplands.|
|Shrublands|2|Shrub (1-2m) cover >10%.|