def get_footprints_inters_ext(filelist,
extent_base,
epsg_base,
use_l1a_met=False):
list_poly = []
for f in filelist:
if use_l1a_met:
poly = vt.l1astrip_polygon(os.path.dirname(f))
trans = vt.coord_trans(False, 4326, False, epsg_base)
poly.Transform(trans)
else:
ext, proj = vt.extent_rast(f)
poly = vt.poly_from_extent(ext)
trans = vt.coord_trans(True, proj, False, epsg_base)
poly.Transform(trans)
list_poly.append(poly)
poly_ext = vt.poly_from_extent(extent_base)
filelist_out = []
for poly in list_poly:
if poly.Intersect(poly_ext):
filelist_out.append(filelist[list_poly.index(poly)])
return filelist_out
def tilename_stack(ds):
# no checks, we assume it's a latlon tile and just get the tile center coordinates
extent, proj = extent_stack(ds)
poly = vt.poly_from_extent(extent)
trans = vt.coord_trans(True, proj, False, 4326)
poly.Transform(trans)
centroid = vt.get_poly_centroid(poly)
tile_name = vt.latlon_to_SRTMGL1_naming(centroid[1], centroid[0])
return tile_name
def raster_to_point(fn_dem):
extent, proj_wkt = ot.extent_rast(fn_dem)
poly = ot.poly_from_extent(extent)
transform = ot.coord_trans(True, proj_wkt, False, 4326)
poly.Transform(transform)
center_lon, center_lat = ot.get_poly_centroid(poly)
epsg, utm_zone = ot.latlon_to_UTM(center_lat, center_lon)
print('Reprojecting in ' + str(epsg))
img_vhr = GeoImg(fn_dem)
dest = gdal.Warp('',
img_vhr.gd,
format='MEM',
dstSRS='EPSG:{}'.format(epsg),
xRes=out_res,
yRes=out_res,
resampleAlg=gdal.GRA_Bilinear,
dstNodata=-9999)
img_lr = GeoImg(dest)
print('Extracting coords...')
elevs = img_lr.img.flatten()
x, y = img_lr.xy(ctype='center')
coords = list(zip(x.flatten(), y.flatten()))
coords_latlon = point_to_lonlat_trans(int(epsg), coords)
lon, lat = zip(*coords_latlon)
lon = np.array(lon)
lat = np.array(lat)
keep = ~np.isnan(elevs)
h = elevs[keep]
lat = lat[keep]
lon = lon[keep]
print('Done for this DEM')
return h, lat, lon
if fn.endswith('.tif')
]
print('Found ' + str(len(all_dems)) + ' DEMs.')
list_ak = []
list_ant = []
for fn_dem in all_dems:
print('DEM number ' + str(all_dems.index(fn_dem)) + ': ' + fn_dem)
img = GeoImg(fn_dem)
if img.npix_x > 5: #need to figure out why these LAS files don't process properly?
extent, proj_wkt = ot.extent_rast(fn_dem)
poly = ot.poly_from_extent(extent)
print(proj_wkt)
transform = ot.coord_trans(True, proj_wkt, False, 4326)
poly.Transform(transform)
center_lon, center_lat = ot.get_poly_centroid(poly)
if center_lat > 0:
list_ak.append(fn_dem)
else:
list_ant.append(fn_dem)
reg_dir = ['01_02_rgi60', '19_rgi60']
for reg in reg_dir:
print('Working on region: ' + reg)