def build_test_env(test_dir):
"""
wraps each of the "fetch" functions for building a common
testing environment for dnppy, shouldn't be relied upon, but
this function is a quick way to just go grab everything.
"""
print("Building the testing environment!")
print("Data downloads may take several minutes")
fetch_test_landsat(test_dir)
fetch_VA_shapefile(test_dir)
fetch_test_SRTM(test_dir)
fetch_test_MODIS(test_dir)
fetch_test_precip(test_dir)
return
def build_test_env(test_dir):
"""
wraps each of the "fetch" functions for building a common
testing environment for dnppy, shouldn't be relied upon, but
this function is a quick way to just go grab everything.
"""
print("Building the testing environment!")
print("Data downloads may take several minutes")
fetch_test_landsat(test_dir)
fetch_VA_shapefile(test_dir)
fetch_test_SRTM(test_dir)
fetch_test_MODIS(test_dir)
fetch_test_precip(test_dir)
return
def test_raster_module(test_dir):
"""
tests the following functions from the raster module:
spatially_match
cilp_and_snap
project_resample
enf_rastlist
is_rast
raster_overlap
clip_and_snap
null_define
to_numpy
from_numpy
null_set_range
clip_to_shape
grab_info
"""
# if no data folder exists at the location, build the test environment
if not os.path.exists(os.path.join(test_dir, "raw", "MODIS")):
fetch_test_MODIS(test_dir)
if not os.path.exists(os.path.join(test_dir, "raw", "VA_shapefile")):
fetch_VA_shapefile(test_dir)
if not os.path.exists(os.path.join(test_dir, "raw", "SRTM")):
fetch_test_SRTM(test_dir)
# first, lets extract some MODIS data over hampton roads
print("preparing sample MODIS MOD10A1 data for raster opperations")
product_dir = os.path.join(test_dir, "raw", "MODIS", "MOD10A1")
extract_dir = os.path.join(test_dir, "pre_processed", "MODIS", "MOD10A1", "0_extract")
mosaic_dir = os.path.join(extract_dir, "1_mosaic")
modis.extract_from_hdf(product_dir, [3], "FracSnow", extract_dir)
modis.mosaic(extract_dir, outdir=mosaic_dir, pixel_type="8_BIT_UNSIGNED")
# test spatially match function
print("testing function 'spatially_match' and its dependencies")
dem_path = os.path.join(test_dir, "pre_processed", "SRTM", "VAcoast_DEM.tif")
sm_dir = os.path.join(test_dir, "pre_processed", "MODIS", "MOD10A1", "2_spatially_match")
raster.spatially_match(dem_path, mosaic_dir, sm_dir, resamp_type="NEAREST")
# set null values in MODIS data as well as in the DEM
print("testing 'null_set_range' function")
raster.null_set_range(dem_path, low_thresh=0, NoData_Value=0)
raster.null_set_range(sm_dir, high_thresh=101, NoData_Value=101)
# test overlap finding functions with just the first spatially matched image in modis series
print("testing 'raster_overlap' function")
sample_path = os.path.join(sm_dir, "MOD10A1.A2015031.mosaic.005.2015033065804_FracSnow_sm.tif")
overshp_path = os.path.join(test_dir, "pre_processed/MODIS/MOD10A1/clip_extent/clip_extent.shp")
raster.raster_overlap(dem_path, sample_path, overshp_path)
# test the clip_to_shape function
print("testing 'clip_to_shape' function")
clipdir = os.path.join(test_dir, "pre_processed", "MODIS", "MOD10A1", "3_clipped")
vashape = os.path.join(test_dir, "raw", "VA_shapefile", "tl_2013_51_cousub.shp")
raster.clip_to_shape(sm_dir, overshp_path, clipdir)
return
def test_raster_module(test_dir):
"""
tests the following functions from the raster module:
spatially_match
cilp_and_snap
project_resample
enf_rastlist
is_rast
raster_overlap
clip_and_snap
null_define
to_numpy
from_numpy
null_set_range
clip_to_shape
grab_info
"""
# if no data folder exists at the location, build the test environment
if not os.path.exists(os.path.join(test_dir, "raw", "MODIS")):
fetch_test_MODIS(test_dir)
if not os.path.exists(os.path.join(test_dir, "raw", "VA_shapefile")):
fetch_VA_shapefile(test_dir)
if not os.path.exists(os.path.join(test_dir, "raw", "SRTM")):
fetch_test_SRTM(test_dir)
# first, lets extract some MODIS data over hampton roads
print("preparing sample MODIS MOD10A1 data for raster opperations")
product_dir = os.path.join(test_dir, "raw", "MODIS", "MOD10A1")
extract_dir = os.path.join(test_dir, "pre_processed", "MODIS", "MOD10A1",
"0_extract")
mosaic_dir = os.path.join(extract_dir, "1_mosaic")
modis.extract_from_hdf(product_dir, [3], "FracSnow", extract_dir)
modis.mosaic(extract_dir, outdir=mosaic_dir, pixel_type="8_BIT_UNSIGNED")
# test spatially match function
print("testing function 'spatially_match' and its dependencies")
dem_path = os.path.join(test_dir, "pre_processed", "SRTM",
"VAcoast_DEM.tif")
sm_dir = os.path.join(test_dir, "pre_processed", "MODIS", "MOD10A1",
"2_spatially_match")
raster.spatially_match(dem_path, mosaic_dir, sm_dir, resamp_type="NEAREST")
# set null values in MODIS data as well as in the DEM
print("testing 'null_set_range' function")
raster.null_set_range(dem_path, low_thresh=0, NoData_Value=0)
raster.null_set_range(sm_dir, high_thresh=101, NoData_Value=101)
# test overlap finding functions with just the first spatially matched image in modis series
print("testing 'raster_overlap' function")
sample_path = os.path.join(
sm_dir, "MOD10A1.A2015031.mosaic.005.2015033065804_FracSnow_sm.tif")
overshp_path = os.path.join(
test_dir, "pre_processed/MODIS/MOD10A1/clip_extent/clip_extent.shp")
raster.raster_overlap(dem_path, sample_path, overshp_path)
# test the clip_to_shape function
print("testing 'clip_to_shape' function")
clipdir = os.path.join(test_dir, "pre_processed", "MODIS", "MOD10A1",
"3_clipped")
vashape = os.path.join(test_dir, "raw", "VA_shapefile",
"tl_2013_51_cousub.shp")
raster.clip_to_shape(sm_dir, overshp_path, clipdir)
return