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boundary.py
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boundary.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2014, 2015, 2017 Martin Raspaud
# Author(s):
# Martin Raspaud <martin.raspaud@smhi.se>
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
"""The Boundary classes.
"""
import logging
import logging.handlers
import numpy as np
from pyorbital import geoloc, geoloc_instrument_definitions
from trollsched.spherical import SphPolygon
logger = logging.getLogger(__name__)
class Boundary(object):
"""Boundary objects.
"""
def __init__(self, lons=None, lats=None, frequency=1):
self._contour_poly = None
if lons is not None:
self.lons = lons[::frequency]
if lats is not None:
self.lats = lats[::frequency]
def contour(self):
return self.lons, self.lats
@property
def contour_poly(self):
"""Get the Spherical polygon corresponding to the Boundary
"""
if self._contour_poly is None:
self._contour_poly = SphPolygon(
np.deg2rad(np.vstack(self.contour()).T))
return self._contour_poly
def draw(self, mapper, options):
"""Draw the current boundary on the *mapper*
"""
self.contour_poly.draw(mapper, options)
class AreaBoundary(Boundary):
"""Area boundary objects.
"""
def __init__(self, *sides):
Boundary.__init__(self)
self.sides_lons, self.sides_lats = zip(*sides)
self.sides_lons = list(self.sides_lons)
self.sides_lats = list(self.sides_lats)
def decimate(self, ratio):
"""Remove some points in the boundaries, but never the corners.
"""
for i in range(len(self.sides_lons)):
l = len(self.sides_lons[i])
start = int((l % ratio) / 2)
points = np.concatenate(([0], np.arange(start, l, ratio), [l - 1]))
if points[1] == 0:
points = points[1:]
if points[-2] == (l - 1):
points = points[:-1]
self.sides_lons[i] = self.sides_lons[i][points]
self.sides_lats[i] = self.sides_lats[i][points]
def contour(self):
"""Get the (lons, lats) tuple of the boundary object.
"""
lons = np.concatenate([lns[:-1] for lns in self.sides_lons])
lats = np.concatenate([lts[:-1] for lts in self.sides_lats])
return lons, lats
class AreaDefBoundary(AreaBoundary):
"""Boundaries for area definitions (pyresample)
"""
def __init__(self, area, frequency=1):
lons, lats = area.get_boundary_lonlats()
AreaBoundary.__init__(self,
(lons.side1, lats.side1),
(lons.side2, lats.side2),
(lons.side3, lats.side3),
(lons.side4, lats.side4))
if frequency != 1:
self.decimate(frequency)
class SwathBoundary(Boundary):
"""Boundaries for satellite overpasses.
"""
def get_instrument_points(self, overpass, utctime,
scans_nb, scanpoints, frequency=1):
"""Get the boundary points for a given overpass.
"""
instrument = overpass.instrument
# cheating at the moment.
scan_angle = 55.37
if instrument == "modis":
scan_angle = 55.0
elif instrument == "viirs":
scan_angle = 55.84
elif instrument == "iasi":
scan_angle = 48.3
elif overpass.satellite == "noaa 16":
scan_angle = 55.25
instrument = "avhrr"
instrument_fun = getattr(geoloc_instrument_definitions, instrument)
sgeom = instrument_fun(scans_nb, scanpoints,
scan_angle=scan_angle, frequency=frequency)
times = sgeom.times(utctime)
pixel_pos = geoloc.compute_pixels((self.orb.tle._line1,
self.orb.tle._line2),
sgeom, times)
lons, lats, alts = geoloc.get_lonlatalt(pixel_pos, times)
del alts
return (lons.reshape(-1, len(scanpoints)),
lats.reshape(-1, len(scanpoints)))
def __init__(self, overpass, frequency=100.0):
# compute area covered by pass
Boundary.__init__(self)
self.overpass = overpass
self.orb = overpass.orb
# compute sides
scans_nb = np.ceil(((overpass.falltime - overpass.risetime).seconds +
(overpass.falltime -
overpass.risetime).microseconds
/ 1000000.0) / frequency)
scans_nb = int(max(scans_nb, 1))
sides_lons, sides_lats = self.get_instrument_points(self.overpass,
overpass.risetime,
scans_nb,
np.array(
[0, 2047]),
frequency=frequency)
self.left_lons = sides_lons[::-1, 0]
self.left_lats = sides_lats[::-1, 0]
self.right_lons = sides_lons[:, 1]
self.right_lats = sides_lats[:, 1]
# compute bottom
# avhrr
maxval = 2048
rest = maxval % frequency
reduced = np.hstack(
[0, np.arange(rest / 2, maxval, frequency), maxval - 1])
lons, lats = self.get_instrument_points(self.overpass,
overpass.falltime,
1,
reduced)
self.bottom_lons = lons[0][::-1]
self.bottom_lats = lats[0][::-1]
# compute top
lons, lats = self.get_instrument_points(self.overpass,
overpass.risetime,
1,
reduced)
self.top_lons = lons[0]
self.top_lats = lats[0]
def decimate(self, ratio):
l = len(self.top_lons)
start = (l % ratio) / 2
points = np.concatenate(([0], np.arange(start, l, ratio), [l - 1]))
self.top_lons = self.top_lons[points]
self.top_lats = self.top_lats[points]
self.bottom_lons = self.bottom_lons[points]
self.bottom_lats = self.bottom_lats[points]
l = len(self.right_lons)
start = (l % ratio) / 2
points = np.concatenate(([0], np.arange(start, l, ratio), [l - 1]))
self.right_lons = self.right_lons[points]
self.right_lats = self.right_lats[points]
self.left_lons = self.left_lons[points]
self.left_lats = self.left_lats[points]
def contour(self):
lons = np.concatenate((self.top_lons,
self.right_lons[1:-1],
self.bottom_lons,
self.left_lons[1:-1]))
lats = np.concatenate((self.top_lats,
self.right_lats[1:-1],
self.bottom_lats,
self.left_lats[1:-1]))
return lons, lats