def main(args):
""" Test input and pass to appropriate functions """
### Produce output specified
try:
image_ds = gdal.Open(args["image"], gdal.GA_ReadOnly)
except:
logger.error("Could not open example image for reading")
raise
band_names = None
if args["class"]:
raster, band_names = get_classification(
args["date"],
args["results"],
image_ds,
after=args["after"],
before=args["before"],
qa=args["qa"],
pred_proba=args["pred_proba"],
)
elif args["coef"]:
raster, band_names = get_coefficients(
args["date"],
args["results"],
image_ds,
args["bands"],
args["coefs"],
use_robust=args["use_robust"],
amplitude=args["amplitude"],
after=args["after"],
before=args["before"],
qa=args["qa"],
ndv=args["ndv"],
)
elif args["predict"]:
raster, band_names = get_prediction(
args["date"],
args["results"],
image_ds,
args["bands"],
use_robust=args["use_robust"],
after=args["after"],
before=args["before"],
qa=args["qa"],
ndv=args["ndv"],
)
elif args["pheno"]:
raster, band_names = get_phenology(
args["date"],
args["results"],
image_ds,
after=args["after"],
before=args["before"],
qa=args["qa"],
ndv=args["ndv"],
)
write_output(raster, args["output"], image_ds, args["gdal_frmt"], args["ndv"], band_names)
image_ds = None
def main(args):
""" Test input and pass to appropriate functions """
### Produce output specified
try:
image_ds = gdal.Open(args['image'], gdal.GA_ReadOnly)
except:
logger.error('Could not open example image for reading')
raise
band_names = None
if args['class']:
raster, band_names = get_classification(args['date'],
args['results'],
image_ds,
after=args['after'],
before=args['before'],
qa=args['qa'],
pred_proba=args['pred_proba'])
elif args['coef']:
raster, band_names = get_coefficients(args['date'],
args['results'],
image_ds,
args['bands'],
args['coefs'],
use_robust=args['use_robust'],
amplitude=args['amplitude'],
after=args['after'],
before=args['before'],
qa=args['qa'],
ndv=args['ndv'])
elif args['predict']:
raster, band_names = get_prediction(args['date'],
args['results'],
image_ds,
args['bands'],
use_robust=args['use_robust'],
after=args['after'],
before=args['before'],
qa=args['qa'],
ndv=args['ndv'])
elif args['pheno']:
raster, band_names = get_phenology(args['date'],
args['results'],
image_ds,
after=args['after'],
before=args['before'],
qa=args['qa'],
ndv=args['ndv'])
write_output(raster, args['output'], image_ds, args['gdal_frmt'],
args['ndv'], band_names)
image_ds = None
def changemap(ctx, map_type, start_date, end_date, output,
root, result, image, date_frmt, ndv, gdal_frmt, out_date_frmt,
warn_on_empty, magnitude):
"""
Examples: TODO
"""
gdal_frmt = str(gdal_frmt) # GDAL GetDriverByName doesn't work on Unicode
frmt = '%Y%j'
start_txt, end_txt = start_date.strftime(frmt), end_date.strftime(frmt)
start_date, end_date = start_date.toordinal(), end_date.toordinal()
try:
image_ds = gdal.Open(image, gdal.GA_ReadOnly)
except:
logger.error('Could not open example image for reading')
raise
if map_type in ('first', 'last'):
changemap, magnitudemap, magnitude_indices = get_datechangemap(
start_date, end_date, result, image_ds,
first=map_type == 'first', out_format=out_date_frmt,
magnitude=magnitude,
ndv=ndv, pattern=_result_record
)
band_names = ['ChangeDate_s{s}-e{e}'.format(s=start_txt, e=end_txt)]
write_output(changemap, output, image_ds, gdal_frmt, ndv,
band_names=band_names)
if magnitudemap is not None:
band_names = (['Magnitude Index {}'.format(i) for
i in magnitude_indices])
name, ext = os.path.splitext(output)
output = name + '_mag' + ext
write_output(magnitudemap, output, image_ds, gdal_frmt, ndv,
band_names=band_names)
elif map_type == 'num':
changemap = get_numchangemap(
start_date, end_date, result, image_ds,
ndv=ndv, pattern=_result_record
)
band_names = ['NumChanges_s{s}-e{e}'.format(s=start_txt, e=end_txt)]
write_output(changemap, output, image_ds, gdal_frmt, ndv,
band_names=band_names)
image_ds = None
def main(args):
""" Make change maps from parsed user inputs """
### Make map
try:
image_ds = gdal.Open(args['image'], gdal.GA_ReadOnly)
except:
logger.error('Could not open example image for reading')
raise
start_txt = dt.fromordinal(args['start']).strftime('%Y%j')
end_txt = dt.fromordinal(args['end']).strftime('%Y%j')
# Make map of date of change
if args['first'] or args['last']:
changemap, magnitudemap, magnitude_indices = get_datechangemap(
args['start'], args['end'], args['results'], image_ds,
first=args['first'], out_format=args['out_format'],
magnitude=args['magnitude'],
ndv=args['ndv'], pattern=_result_record
)
band_names = ['ChangeDate_s{s}-e{e}'.format(s=start_txt, e=end_txt)]
write_output(changemap, args['output'], image_ds,
args['gdal_frmt'], args['ndv'],
band_names=band_names)
if magnitudemap is not None:
band_names = (['Magnitude Index ' + str(i) for i in
magnitude_indices])
name, ext = os.path.splitext(args['output'])
output = name + '_mag' + ext
write_output(magnitudemap, output, image_ds,
args['gdal_frmt'], args['ndv'],
band_names=band_names)
elif args['num']:
changemap = get_numchangemap(
args['start'], args['end'], args['results'], image_ds,
ndv=args['ndv'], pattern=_result_record
)
band_names = ['NumChanges_s{s}-e{e}'.format(s=start_txt, e=end_txt)]
write_output(changemap, args['output'], image_ds,
args['gdal_frmt'], args['ndv'],
band_names=band_names)
image_ds = None
def main(args):
""" Make change maps from parsed user inputs """
### Make map
try:
image_ds = gdal.Open(args['image'], gdal.GA_ReadOnly)
except:
logger.error('Could not open example image for reading')
raise
start_txt = dt.fromordinal(args['start']).strftime('%Y%j')
end_txt = dt.fromordinal(args['end']).strftime('%Y%j')
# Make map of date of change
if args['first'] or args['last']:
changemap, magnitudemap, magnitude_indices = get_datechangemap(
args['start'],
args['end'],
args['results'],
image_ds,
first=args['first'],
out_format=args['out_format'],
magnitude=args['magnitude'],
ndv=args['ndv'],
pattern=_result_record)
band_names = ['ChangeDate_s{s}-e{e}'.format(s=start_txt, e=end_txt)]
write_output(changemap,
args['output'],
image_ds,
args['gdal_frmt'],
args['ndv'],
band_names=band_names)
if magnitudemap is not None:
band_names = ([
'Magnitude Index ' + str(i) for i in magnitude_indices
])
name, ext = os.path.splitext(args['output'])
output = name + '_mag' + ext
write_output(magnitudemap,
output,
image_ds,
args['gdal_frmt'],
args['ndv'],
band_names=band_names)
elif args['num']:
changemap = get_numchangemap(args['start'],
args['end'],
args['results'],
image_ds,
ndv=args['ndv'],
pattern=_result_record)
band_names = ['NumChanges_s{s}-e{e}'.format(s=start_txt, e=end_txt)]
write_output(changemap,
args['output'],
image_ds,
args['gdal_frmt'],
args['ndv'],
band_names=band_names)
image_ds = None
def map(ctx, map_type, date, output,
root, result, image, date_frmt, ndv, gdal_frmt, warn_on_empty,
band, coef, after, before, qa, refit_prefix, amplitude, predict_proba):
"""
Map types: coef, predict, class, pheno
\b
Map QA flags:
- 1 => before
- 2 => after
- 3 => intersect
\b
Examples:
> yatsm map --coef intercept --coef slope \
... --band 3 --band 4 --band 5 --ndv -9999 \
... coef 2000-01-01 coef_map.gtif
> yatsm map -c intercept -c slope -b 3 -b 4 -b 5 --ndv -9999 \
... coef 2000-01-01 coef_map.gtif
> yatsm map --date "%Y-%j" predict 2000-001 prediction.gtif
> yatsm map --result "YATSM_new" --after class 2000-01-01 LCmap.gtif
Notes:
- Image predictions will not use categorical information in timeseries
models.
"""
try:
image_ds = gdal.Open(image, gdal.GA_ReadOnly)
except:
logger.error('Could not open example image for reading')
raise
date = date.toordinal()
# Append underscore to prefix if not included
if refit_prefix and not refit_prefix.endswith('_'):
refit_prefix += '_'
band_names = None
if map_type == 'class':
raster, band_names = get_classification(
date, result, image_ds,
after=after, before=before, qa=qa,
pred_proba=predict_proba
)
elif map_type == 'coef':
raster, band_names = get_coefficients(
date, result, image_ds,
band, coef,
prefix=refit_prefix, amplitude=amplitude,
after=after, before=before, qa=qa,
ndv=ndv
)
elif map_type == 'predict':
raster, band_names = get_prediction(
date, result, image_ds,
band,
prefix=refit_prefix,
after=after, before=before, qa=qa,
ndv=ndv
)
elif map_type == 'pheno':
raster, band_names = get_phenology(
date, result, image_ds,
after=after, before=before, qa=qa,
ndv=ndv)
write_output(raster, output, image_ds,
gdal_frmt, ndv, band_names)
image_ds = None