def calc_anomalies(basepath, layers, filename, epsg="3857"):
print "-----Anomalies"
for layer in layers:
date = get_date_by_filename(layer)
month = get_month_by_filename(layer)
avg_path = basepath + "/avg/" + filename + "_" + month + "_" + epsg + ".tif"
output_path = basepath + "/anomalies/" + filename + "_" + date + "_" + epsg + ".tif"
print "Processing: ", layer, " ", avg_path
r = rasterio.open(layer)
r_avg = rasterio.open(avg_path)
data, kwargs = initialize_rasterio_raster(r, rasterio.float32)
r_band = r.read_band(1)
r_avg_band = r_avg.read_band(1)
nodata = 0
index1 = (r_band != nodata)
index2 = (r_avg_band != nodata)
r_band = index1 * index2 *r_band
r_avg_band = index1 * index2 * r_avg_band
data = r_band.astype(float) - r_avg_band.astype(float)
# writing
print "Writing: ", output_path
with rasterio.open(output_path, 'w', **kwargs) as dst:
dst.write_band(1, data.astype(rasterio.float32))
def calc(basepath, layers, filename, epsg="3857"):
print "-----Z-SCORE"
for layer in layers:
date = get_date_by_filename(layer)
month = get_month_by_filename(layer)
sd_path = basepath + "/sd/" + filename + "_" + month + "_" + epsg + ".tif"
output_path = basepath + "/zscore/" + filename + "_" + date + "_" + epsg + ".tif"
print "Processing: ", layer, " ", sd_path
r = rasterio.open(layer)
r_sd = rasterio.open(sd_path)
data, kwargs = initialize_rasterio_raster(r, rasterio.float32)
r_band = r.read_band(1)
r_sd_band = r_sd.read_band(1)
nodata = 0
index1 = (r_band != nodata)
index2 = (r_sd_band != nodata)
r_band = index1 * index2 * r_band
r_sd_band = index1 * index2 * r_sd_band
data = (r_band.astype(float) / r_sd_band.astype(float))
# writing
print "Writing: ", output_path
with rasterio.open(output_path, 'w', **kwargs) as dst:
dst.write_band(1, data.astype(rasterio.float32))
