-
Notifications
You must be signed in to change notification settings - Fork 2
/
Copy pathbase.py
186 lines (173 loc) · 8.28 KB
/
base.py
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
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
import os
from osgeo import gdal
import numpy as np
def MeanDEM(pointUL, pointDR):
'''
计算影像所在区域的平均高程.
'''
script_path = os.path.split(os.path.realpath(__file__))[0]
dem_path = os.path.join(script_path,"GMTED2km.tif")
try:
DEMIDataSet = gdal.Open(dem_path)
except Exception as e:
pass
DEMBand = DEMIDataSet.GetRasterBand(1)
geotransform = DEMIDataSet.GetGeoTransform()
# DEM分辨率
pixelWidth = geotransform[1]
pixelHight = geotransform[5]
# DEM起始点：左上角，X：经度，Y：纬度
originX = geotransform[0]
originY = geotransform[3]
# 研究区左上角在DEM矩阵中的位置
yoffset1 = int((originY - pointUL['lat']) / pixelWidth)
xoffset1 = int((pointUL['lon'] - originX) / (-pixelHight))
# 研究区右下角在DEM矩阵中的位置
yoffset2 = int((originY - pointDR['lat']) / pixelWidth)
xoffset2 = int((pointDR['lon'] - originX) / (-pixelHight))
# 研究区矩阵行列数
xx = xoffset2 - xoffset1
yy = yoffset2 - yoffset1
# 读取研究区内的数据，并计算高程
DEMRasterData = DEMBand.ReadAsArray(xoffset1, yoffset1, xx, yy)
MeanAltitude = np.mean(DEMRasterData)
return MeanAltitude
class PredefinedWavelength:
MAX_ALLOWABLE_WAVELENGTH = 4
MIN_ALLOWABLE_WAVELENGTH = 0.2
# New predefined wavelengths that I've added to Py6S
# CONSTANT_NAME = (ID, Start Wavelength, End Wavelength, Filter Function)
# Note: IDs must be > 1 for new predefined wavelengths
# Himawari8
# Interpolated to 2.5nm intervals, as required by 6S
Himawari_640 = (
1,
0.555185432,
0.720185432000000,
np.array(
[2.61000000e-05, 1.73255547e-05, 1.58768198e-05, 3.25161714e-05,
4.93541130e-05, 1.05453599e-04, 1.12674113e-04, 1.98055338e-04,
4.62539240e-04, 9.11719760e-04, 2.16878010e-03, 9.19555465e-03,
3.43291024e-02, 6.63384806e-02, 1.44663949e-01, 2.23297273e-01,
3.06302515e-01, 4.26839721e-01, 5.71982358e-01, 7.54295338e-01,
8.73643886e-01, 8.99100527e-01, 9.06371918e-01, 9.33349043e-01,
9.46849683e-01, 9.34504761e-01, 9.47755185e-01, 9.70563937e-01,
9.53331648e-01, 9.36214060e-01, 9.61574287e-01, 9.77890490e-01,
9.62427788e-01, 9.81450166e-01, 9.98420051e-01, 9.83229272e-01,
9.85030364e-01, 9.98216881e-01, 9.98789094e-01, 9.93100356e-01,
9.91816680e-01, 9.94517056e-01, 9.86160301e-01, 9.84987178e-01,
9.88093977e-01, 9.60604877e-01, 8.89217283e-01, 8.13384175e-01,
7.15941060e-01, 6.19861039e-01, 5.23217765e-01, 3.84034543e-01,
2.09031884e-01, 8.41427824e-02, 3.18039946e-02, 1.25337577e-02,
5.36552073e-03, 2.28879763e-03, 9.78327642e-04, 5.29034786e-04,
3.13544430e-04, 2.04984489e-04, 1.44426061e-04, 9.66000000e-05,
7.36775462e-05, 7.09130950e-05, 3.92061466e-05]
),
)
Himawari_860 = (
2,
0.805217811,
0.912717811,
np.array(
[-2.23000000e-05, 1.76277344e-04, -1.23024190e-04, 1.32248508e-04,
1.24002474e-04, 8.48884472e-05, 4.36389161e-04, 2.20245019e-03,
5.01912191e-03, 9.12187477e-03, 2.48402819e-02, 9.09182022e-02,
2.32509392e-01, 4.05330728e-01, 5.76703635e-01, 7.35222279e-01,
8.69092510e-01, 9.28789513e-01, 9.13958016e-01, 8.72718200e-01,
8.71065365e-01, 8.88066044e-01, 9.28791391e-01, 9.79790149e-01,
9.97733339e-01, 8.62180903e-01, 7.09591782e-01, 5.49797065e-01,
4.05099841e-01, 2.59128316e-01, 1.25608767e-01, 5.20061369e-02,
2.32136948e-02, 7.31315232e-03, 2.81041176e-03, 4.72544889e-04,
3.08706842e-04, 8.98819813e-05, 1.73604401e-04, 1.84642246e-04,
5.38149802e-05, 1.69894797e-04, 1.08178297e-05, 4.09020326e-04]
),
)
Himawari_1600 = (
3,
1.545833977,
1.675833977,
np.array(
[4.40009000e-04, 4.67372179e-04, 6.89620247e-04, 9.24639485e-04,
1.01346030e-03, 1.60304207e-03, 2.59425033e-03, 3.99954613e-03,
6.55986823e-03, 1.12734452e-02, 2.01827708e-02, 3.75369579e-02,
6.81263259e-02, 1.15209846e-01, 1.82129285e-01, 2.64462308e-01,
3.55372308e-01, 4.57377140e-01, 5.59941794e-01, 6.73109760e-01,
7.74188745e-01, 8.46856185e-01, 8.75470541e-01, 8.63914195e-01,
8.52089503e-01, 8.82743310e-01, 9.39960522e-01, 9.94055858e-01,
9.81514453e-01, 9.07411511e-01, 8.40205886e-01, 7.56977073e-01,
6.67030166e-01, 5.74413530e-01, 4.78740066e-01, 3.79476724e-01,
2.86045363e-01, 2.05021676e-01, 1.39568274e-01, 9.00124363e-02,
5.74843833e-02, 3.59094117e-02, 2.24146418e-02, 1.38841001e-02,
9.01341017e-03, 5.71941563e-03, 3.95072608e-03, 2.64594279e-03,
1.80157439e-03, 1.11443086e-03, 9.78255709e-04, 7.66931481e-04,
5.23778303e-04]
),)
## GK2A
## Almost Same SRF
GK2A_640 = (
4,
0.55,
0.71,
np.array(
[1.10000000e-05, 7.26491447e-06, 1.75767560e-05, 1.93124428e-05,
2.42000000e-05, 4.46842012e-05, 5.30607888e-05, 8.94374412e-05,
1.32668568e-04, 1.93098858e-04, 4.27405845e-04, 8.76395221e-04,
2.00828646e-03, 8.28501397e-03, 3.20606202e-02, 6.21480723e-02,
1.36771125e-01, 2.15219313e-01, 2.98843027e-01, 4.20027643e-01,
5.66829420e-01, 7.44997247e-01, 8.69246537e-01, 8.97689092e-01,
9.03964930e-01, 9.28132040e-01, 9.45146945e-01, 9.36092436e-01,
9.46571421e-01, 9.70767011e-01, 9.59991054e-01, 9.43032584e-01,
9.62471704e-01, 9.78432177e-01, 9.64480397e-01, 9.82103729e-01,
9.99144858e-01, 9.77639736e-01, 9.68841570e-01, 9.69028145e-01,
9.68670593e-01, 9.77936033e-01, 9.91516855e-01, 9.99645381e-01,
9.85291593e-01, 9.78328627e-01, 9.76483097e-01, 9.45311562e-01,
8.69211097e-01, 7.88850486e-01, 6.83200232e-01, 5.79509686e-01,
4.89050620e-01, 3.71255639e-01, 2.10940837e-01, 8.67355295e-02,
3.24484694e-02, 1.25035572e-02, 5.33732754e-03, 2.29928934e-03,
1.01078832e-03, 5.19925972e-04, 3.17088073e-04, 2.16771840e-04,
1.56169780e-04, 1.12625475e-04, 9.73566695e-05, 8.66641526e-05]
),
)
GK2A_856 = (
5,
0.8,
0.950000000000000,
np.array(
[-1.01971000e-04, -7.16802785e-05, -2.87222921e-05, -1.12412516e-04,
3.37864408e-05, -1.87816653e-05, 1.63322679e-05, -1.75776409e-06,
2.15933669e-04, 1.26945610e-04, 1.68284786e-04, 1.56249611e-03,
2.09580291e-03, 5.36611309e-03, 3.47127165e-02, 8.93614796e-02,
1.80807771e-01, 3.06330226e-01, 4.50901628e-01, 6.05110338e-01,
7.39848696e-01, 8.30242243e-01, 8.77902794e-01, 9.09298535e-01,
9.99998510e-01, 9.64133306e-01, 9.51997031e-01, 9.35228915e-01,
9.16581108e-01, 8.97281168e-01, 8.16224123e-01, 6.88127602e-01,
5.18839168e-01, 3.23188262e-01, 1.54008020e-01, 5.45305621e-02,
1.93682409e-02, 9.12994043e-03, 4.98331657e-03, 2.41586310e-03,
1.22502884e-03, 4.61231644e-04, 2.96543133e-04, 3.93587136e-04,
4.24439898e-05, 7.22353543e-05, 3.28028630e-04, 1.25743422e-04,
2.48235871e-04, 7.88601613e-06, -6.93080209e-05, -2.92799056e-05,
5.08215941e-05, -3.11861916e-05, -4.36042416e-05, -3.74852354e-05,
1.16001877e-05, -3.96000000e-05, 3.09004974e-05, 1.73381422e-05,
8.31897541e-05]
),
)
GK2A_1600 = (
6,
1.540120129,
1.667620129,
np.array(
[3.11400000e-04, 3.22604238e-04, 3.61177031e-04, 5.35708682e-04,
6.95253092e-04, 9.49834083e-04, 9.87768682e-04, 1.65749296e-03,
2.63813214e-03, 4.10261156e-03, 6.59021872e-03, 1.12856051e-02,
2.01452346e-02, 3.71132130e-02, 6.75384926e-02, 1.14102783e-01,
1.79731420e-01, 2.62298783e-01, 3.52234297e-01, 4.53276258e-01,
5.55733569e-01, 6.67324342e-01, 7.70668017e-01, 8.50862719e-01,
8.91954223e-01, 8.82822515e-01, 8.59509349e-01, 8.88211584e-01,
9.42201420e-01, 9.96944761e-01, 9.84169899e-01, 9.18060444e-01,
8.49783655e-01, 7.64543331e-01, 6.76071882e-01, 5.81324328e-01,
4.84424692e-01, 3.82699276e-01, 2.88344099e-01, 2.06028429e-01,
1.41014649e-01, 9.02575093e-02, 5.76516563e-02, 3.60625086e-02,
2.23794946e-02, 1.39641025e-02, 8.89070287e-03, 5.86333562e-03,
3.93536324e-03, 2.66335465e-03, 1.76874972e-03, 1.10682340e-03]
),
)