-
Notifications
You must be signed in to change notification settings - Fork 4
Expand file tree
/
Copy pathcross_ATL06_tile.py
More file actions
153 lines (132 loc) · 5.49 KB
/
cross_ATL06_tile.py
File metadata and controls
153 lines (132 loc) · 5.49 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
# -*- coding: utf-8 -*-
"""
Created on Wed May 1 10:40:57 2019
@author: ben
"""
from PointDatabase.ATL06_tiles import read_tile
from PointDatabase.ATL06_filters import segDifferenceFilter
from PointDatabase.xover_search import cross_tracks
from PointDatabase import point_data, mapData
import numpy as np
import os
import h5py
import matplotlib.pyplot as plt
import glob
import re
import sys
def ATL06_crossovers(xy0, tile_dir, different_cycles=False):
D=read_tile(xy0, tile_dir)
for Di in D:
segDifferenceFilter(Di, tol=2, setValid=True, toNaN=True, subset=False)
Di.assign({'time':Di.delta_time})
Di.index(np.isfinite(Di.h_li))
xover_list=list()
#plt.clf()
for ii in np.arange(len(D)):
for jj in np.arange(len(D)):
if (D[ii].size <2) or (D[jj].size < 2) or (ii>=jj) or (D[ii].rgt[0]==D[jj].rgt[0]):
continue
if different_cycles and D[ii].cycle[0]==D[jj].cycle[0]:
continue
xyC, inds, L=cross_tracks([D[ii], D[jj]], delta=20, delta_coarse=1000)
if xyC is not None:
try:
xover_list.append({'xyC':xyC, 'data_0':D[ii].subset(inds[0]), 'data_1':D[jj].subset(inds[1]), 'L0':L[0], 'L1':L[1]})
except Exception as e:
print("HERE")
return xover_list
def write_xovers(xover_list, xy0, out_dir):
tile_name='/E%d_N%d.h5' % (xy0[0]/1.e3, xy0[1]/1.e3)
out_file=out_dir+'/'+tile_name
if os.path.isfile(out_file):
os.remove(out_file)
with h5py.File(out_file,'w') as h5f:
for key_D in ['data_0', 'data_1']:
group='/'+key_D
h5f.create_group(group)
key_L=key_D.replace('data_','L')
L=np.c_[[item[key_L] for item in xover_list]]
Dtemp=[item[key_D] for item in xover_list]
Dtemp=point_data(list_of_fields=Dtemp[0].list_of_fields).from_list(Dtemp)
shape=[np.int(Dtemp.size/2), 2]
Dtemp.shape=shape
for key in Dtemp.list_of_fields:
temp=getattr(Dtemp, key)
temp.shape=shape
h5f.create_dataset(group+'/'+key, data=temp)
h5f.create_dataset(group+'/W', data=np.c_[1-L, L])
xy=np.c_[[item['xyC'] for item in xover_list]]
h5f.create_dataset('/x', data=xy[:,0])
h5f.create_dataset('/y', data=xy[:,1])
h5f.create_dataset('/slope_x', data=np.array([item['slope_x'] for item in xover_list]))
h5f.create_dataset('/slope_y', data=np.array([item['slope_y'] for item in xover_list]))
h5f.create_dataset('/grounded', data=np.array([item['grounded'] for item in xover_list]))
return #xover_list
def read_xovers(xover_dir):
tiles=glob.glob(xover_dir+'/*.h5')
with h5py.File(tiles[0],'r') as h5f:
fields=[key for key in h5f['D0'].keys()]
D=[]
X=[]
for tile in glob.glob(xover_dir+'/*.h5'):
D.append([point_data(list_of_fields=fields).from_file(tile, field_dict={gr : fields}) for gr in ['D0','D1']])
with h5py.open(tile,'r') as h5f:
X.append(point_data(list_of_fields=['x','y']).from_file(tile,field_dict={None:['x','y']}))
return D, X
def make_queue(top_dir, cycle, hemisphere, queue_file):
out_dir=top_dir+'/xovers/cycle_'+cycle
if not os.path.isdir(out_dir):
os.mkdir(out_dir)
with open(queue_file,'w') as qf:
cycle_dirs=glob.glob(top_dir+'/cycle_'+cycle)
for cycle_dir in cycle_dirs:
files=glob.glob(cycle_dir+'/E*.h5')
for file in files:
if not os.path.isfile(out_dir+'/'+os.path.basename(file)):
qf.write('python3 ~/git_repos/PointDatabase/cross_ATL06_tile.py %s %d %s %s\n' % ( cycle_dir, hemisphere, out_dir, os.path.basename(file)))
def calc_slope(xovers, hemisphere=-1):
if hemisphere==-1:
mask_file='/Volumes/ice1/ben/Quantarctica/Quantarctica2/Scientific/Glaciology/ALBMAP/ALBMAP_Mask.tif'
dx=1.e4
else:
mask_file='/Volumes/ice2/ben/ATL14_test/GimpIceMask_100m_edited.tif'
dx=200
xy=np.c_[[item['xyC'] for item in xovers]]
mask=mapData().from_geotif(mask_file, \
bounds=[[np.min(xy[:,0].ravel())-dx, np.max(xy[:,0].ravel()+dx)], [np.min(xy[:,1].ravel())-dx, np.max(xy[:,1].ravel()+dx)]])
grounded=np.abs(mask.interp(xy[:,0], xy[:,1])-1)<.01
G=np.zeros((4,4))
G[:,2]=np.array([1, 1, 0, 0])
G[:,3]=np.array([0, 0, 1, 1])
for ii, xo in enumerate(xovers):
x1=np.r_[xo['data_0'].x, xo['data_1'].x]
y1=np.r_[xo['data_0'].y, xo['data_1'].y]
G[:,0]=x1-x1.mean()
G[:,1]=y1-y1.mean()
m=np.linalg.solve(G, np.r_[xo['data_0'].h_li, xo['data_1'].h_li])
xo['slope_x'] = m[0]
xo['slope_y'] = m[1]
xo['grounded'] = grounded[ii]
def main():
tile_dir=sys.argv[1]
hemisphere=int(sys.argv[2])
out_dir=sys.argv[3]
if not os.path.isdir(out_dir):
os.mkdir(out_dir)
if len(sys.argv)<4:
files=glob.glob(tile_dir+'/*.h5')
else:
files=sys.argv[4:]
for file in files:
print(file)
#if os.path.isfile(out_dir+'/'+os.path.basename(file)):
# continue
g=re.compile('E(.*)_N(.*).h5').search(file)
xy0=(np.int(g.group(1))*1000, np.int(g.group(2))*1000)
print(xy0)
xover_list=ATL06_crossovers(xy0, tile_dir)
if len(xover_list) > 0:
calc_slope(xover_list, hemisphere=hemisphere)
write_xovers(xover_list, xy0, out_dir)
if __name__=='__main__':
main()