def geom_attributes(self, srs=None):
if srs is not None:
#Should reproject here to equal area, before geom_attributes
#self.glac_geom.AssignSpatialReference(glac_shp_srs)
#self.glac_geom_local = geolib.geom2localortho(self.glac_geom)
geolib.geom_transform(self.glac_geom, srs)
self.glac_geom_extent = geolib.geom_extent(self.glac_geom)
self.glac_area = self.glac_geom.GetArea()
self.cx, self.cy = self.glac_geom.Centroid().GetPoint_2D()
cmd_fn = os.path.splitext(dem_index_fn)[0] + '_%s-%s_km2_stack_cmd.sh' % (
min_glac_area, max_glac_area)
f = open(cmd_fn, "w")
glac_dict = None
#glac_dict = ['15.03473', '15.03733', '15.10070', '15.09991']
for n, feat in enumerate(glac_shp_lyr):
#glac_geom_orig = geolib.geom_dup(feat.GetGeometryRef())
feat_fn = rgi_name(feat)
if glac_dict is not None:
if not feat_fn in glac_dict:
continue
print(n, feat_fn)
glac_geom = geolib.geom_dup(feat.GetGeometryRef())
glac_geom_extent = geolib.geom_extent(glac_geom)
#print(glac_geom_extent)
#Should buffer by ~1 km here, preserve surrounding pixels for uncertainty analysis
glac_geom = glac_geom.Buffer(buffer_m)
glac_geom_extent = geolib.geom_extent(glac_geom)
#print(glac_geom_extent)
#glac_geom_extent = geolib.pad_extent(glac_geom_extent, width=1000)
#Spatial filter
dem_index_lyr.SetSpatialFilter(glac_geom)
dem_count = dem_index_lyr.GetFeatureCount()
print("dem count after spatial filter: %i" % dem_count)
if dem_count > min_dem_count:
fn_list = []
for dem_feat in dem_index_lyr:
#Only 1 field from gdaltindex, 'location'
site_geom_orig.AssignSpatialReference(site_shp_srs)
#This will automatically select appropriate UTM zone or polar stereographic
if dst_srs is None:
dst_srs = geolib.get_proj(site_geom_orig)
geolib.geom_transform(site_geom_orig, dst_srs)
if buffer is not None:
site_geom_buff = site_geom_orig.Buffer(buffer)
site_geom = site_geom_buff
else:
site_geom = site_geom_orig
#This is xmin, xmax, ymin, ymax
site_extent = geolib.geom_extent(site_geom)
site_extent_str = ' '.join(map(str, site_extent))
print("Extent:", site_extent)
print("Width/Height (km)", np.array(geolib.geom_wh(site_geom)) / 1000.)
print("Area (km2)", site_geom.Area() / 1E6)
#Get output filename from feature, make sure datestr is included
f.write(site_name + '\n')
f.write(str(site_extent) + '\n')
#Can also set spatial filter for each site
#https://pcjericks.github.io/py-gdalogr-cookbook/vector_layers.html#spatial-filter
dem_fn_list = []
dem_shp_lyr.ResetReading()