Import Packages¶
In [1]:
import warnings
warnings.filterwarnings("ignore") # suppress warnings
In [2]:
import sliderule
from sliderule import icesat2
import matplotlib
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import pyproj
import re
import os
Initialize Python Client¶
In [3]:
icesat2.init("slideruleearth.io", verbose=True)
Build Region of Interest¶
In [4]:
xy0=np.array([ -73000., -2683000.])
transformer = pyproj.Transformer.from_crs(3413, 4326)
xyB=[xy0[0]+np.array([-1, 1, 1, -1, -1])*1.e4, xy0[1]+np.array([-1, -1, 1, 1, -1])*1.e4]
llB=transformer.transform(*xyB)
poly=[{'lat':lat,'lon':lon} for lat, lon in zip(*llB)]
plist = []
for p in poly:
plist += p["lat"],
plist += p["lon"],
region_of_interest = sliderule.toregion(plist)
region_of_interest["gdf"].plot()
Out[4]:
<Axes: >
Make Processing Request¶
ATL06-SR request includes the samples parameter to specify that ArcticDEM Strips dataset should be sampled at each generated ATL06 elevation.
In [5]:
parms = { "poly": region_of_interest["poly"],
"cnf": "atl03_high",
"ats": 10.0,
"cnt": 5,
"len": 40.0,
"res": 120.0,
"rgt": 658,
"time_start":'2020-01-01',
"time_end":'2021-01-01',
"samples": {"strips": {"asset": "arcticdem-strips", "with_flags": True}} }
gdf = icesat2.atl06p(parms)
Print Out File Directory¶
When a GeoDataFrame includes samples from rasters, each sample value has a file id that is used to look up the file name of the source raster for that value.
In [6]:
gdf
Out[6]:
| n_fit_photons | gt | y_atc | x_atc | rgt | rms_misfit | region | spot | w_surface_window_final | h_mean | cycle | pflags | dh_fit_dx | h_sigma | segment_id | geometry | strips.value | strips.file_id | strips.time | strips.flags | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| time | ||||||||||||||||||||
| 2018-11-10 17:05:42.211258624 | 11 | 30 | -1364.037598 | 7303654.0 | 658 | 0.107745 | 3 | 4 | 3.0 | 2275.533651 | 1 | 0 | -0.012619 | 0.109261 | 364370 | POINT (-46.65997 65.51029) | [2277.453125, 2272.9453125, 2271.671875, 2274.... | [1, 3, 5, 29, 7, 13, 15, 31, 17, 19, 21] | [1017414743.0, 1126629403.0, 1158946234.0, 117... | [0, 4, 0, 0, 0, 4, 0, 0, 0, 0, 0] |
| 2018-11-10 17:05:42.368041216 | 227 | 20 | 1790.479004 | 7302232.5 | 658 | 0.121384 | 3 | 5 | 3.0 | 2263.052227 | 1 | 0 | -0.000610 | 0.008063 | 364299 | POINT (-46.72430 65.49448) | [2265.4140625, 2260.1484375, 2259.328125, 2264... | [1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21] | [1017414743.0, 1126629403.0, 1158946234.0, 118... | [0, 4, 0, 4, 0, 0, 4, 0, 0, 0, 0] |
| 2018-11-10 17:05:42.380253952 | 12 | 30 | -1362.035522 | 7304855.0 | 658 | 0.090217 | 3 | 4 | 3.0 | 2272.956743 | 1 | 0 | -0.008033 | 0.052065 | 364430 | POINT (-46.66288 65.52099) | [2275.21875, 2269.796875, 2269.0703125, 2271.6... | [1, 3, 5, 29, 7, 13, 15, 31, 17, 19, 21] | [1017414743.0, 1126629403.0, 1158946234.0, 117... | [0, 4, 0, 0, 0, 4, 0, 0, 0, 0, 0] |
| 2018-11-10 17:05:42.383788032 | 81 | 20 | 1790.565308 | 7302352.5 | 658 | 0.129675 | 3 | 5 | 3.0 | 2262.851026 | 1 | 0 | -0.000366 | 0.018742 | 364305 | POINT (-46.72457 65.49547) | [2265.21875, 2260.3125, 2258.9453125, 2264.015... | [1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21] | [1017414743.0, 1126629403.0, 1158946234.0, 118... | [0, 4, 0, 4, 0, 0, 4, 0, 0, 0, 0] |
| 2018-11-10 17:05:42.397236480 | 63 | 30 | -1361.838745 | 7304975.0 | 658 | 0.148493 | 3 | 4 | 3.0 | 2272.678267 | 1 | 0 | 0.000223 | 0.018720 | 364436 | POINT (-46.66318 65.52206) | [2274.5546875, 2269.8359375, 2268.7578125, 227... | [1, 3, 5, 29, 7, 13, 15, 31, 17, 19, 21] | [1017414743.0, 1126629403.0, 1158946234.0, 117... | [0, 4, 0, 0, 0, 4, 0, 0, 0, 0, 0] |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 2023-05-03 11:02:23.800296960 | 289 | 50 | -3174.091064 | 7321509.5 | 658 | 0.127017 | 3 | 5 | 3.0 | 2247.423257 | 19 | 0 | -0.000460 | 0.007477 | 365262 | POINT (-46.66367 65.67123) | [2249.7734375, 2245.1171875, 2243.515625, 2245... | [77309411329, 77309411331, 77309411333, 773094... | [1017414743.0, 1126629403.0, 1158946234.0, 117... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] |
| 2023-05-03 11:02:23.805416448 | 206 | 30 | 60.575111 | 7321429.5 | 658 | 0.092648 | 3 | 3 | 3.0 | 2231.346165 | 19 | 0 | -0.002332 | 0.006456 | 365258 | POINT (-46.73338 65.66730) | [2233.734375, 2228.8671875, 2227.265625, 2231.... | [77309411329, 77309411331, 77309411333, 773094... | [1017414743.0, 1126629403.0, 1158946234.0, 118... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4] |
| 2023-05-03 11:02:23.822418176 | 209 | 30 | 60.906044 | 7321549.5 | 658 | 0.123678 | 3 | 3 | 3.0 | 2230.992015 | 19 | 0 | -0.000408 | 0.008562 | 365264 | POINT (-46.73368 65.66837) | [2233.5546875, 2228.46875, 2227.0390625, 2231.... | [77309411329, 77309411331, 77309411333, 773094... | [1017414743.0, 1126629403.0, 1158946234.0, 118... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4] |
| 2023-05-03 11:02:23.839176704 | 195 | 30 | 60.734127 | 7321669.5 | 658 | 0.104834 | 3 | 3 | 3.0 | 2230.727999 | 19 | 0 | -0.002432 | 0.007513 | 365270 | POINT (-46.73396 65.66944) | [2233.0390625, 2228.25, 2226.453125, 2231.2812... | [77309411329, 77309411331, 77309411333, 773094... | [1017414743.0, 1126629403.0, 1158946234.0, 118... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4] |
| 2023-05-03 11:02:23.856234496 | 229 | 30 | 60.667919 | 7321789.5 | 658 | 0.132601 | 3 | 3 | 3.0 | 2230.316261 | 19 | 0 | -0.002620 | 0.008819 | 365276 | POINT (-46.73425 65.67052) | [2232.5390625, 2227.75, 2226.3984375, 2230.914... | [77309411329, 77309411331, 77309411333, 773094... | [1017414743.0, 1126629403.0, 1158946234.0, 118... | [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4] |
7816 rows × 20 columns
In [7]:
gdf.attrs['file_directory']
Out[7]:
{30064771086: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20170729_103001006EAACB00_103001006D208B00_2m_lsf_seg1_bitmask.tif',
30064771072: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20120402_102001001A8F1B00_102001001A93FB00_2m_lsf_seg1_bitmask.tif',
30064771093: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV03_20151020_10400100125F0F00_104001001298F100_2m_lsf_seg1_dem.tif',
30064771085: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20170724_103001006D472600_103001006E241A00_2m_lsf_seg2_dem.tif',
30064771078: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20160926_102001005377FC00_10200100569CB700_2m_lsf_seg1_bitmask.tif',
30064771076: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20151018_1020010045B22800_10200100479AFE00_2m_lsf_seg1_bitmask.tif',
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30064771096: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV03_20170806_104001003148F400_104001002FC8AD00_2m_lsf_seg1_bitmask.tif',
30064771097: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV03_20170806_104001003148F400_104001002FC8AD00_2m_lsf_seg1_dem.tif',
30064771075: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20150918_1020010042926D00_10200100438AAA00_2m_lsf_seg2_dem.tif',
30064771073: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20120402_102001001A8F1B00_102001001A93FB00_2m_lsf_seg1_dem.tif',
30064771095: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV03_20210315_1040010066A5D200_104001006770A700_2m_lsf_seg11_dem.tif',
30064771079: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20160926_102001005377FC00_10200100569CB700_2m_lsf_seg1_dem.tif',
30064771091: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20191026_103001009C22C400_103001009CC8F200_2m_lsf_seg1_dem.tif',
30064771088: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20191026_103001009B931A00_103001009CA1C200_2m_lsf_seg1_bitmask.tif',
30064771077: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20151018_1020010045B22800_10200100479AFE00_2m_lsf_seg1_dem.tif',
30064771082: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20170612_10200100618B7200_10200100612AED00_2m_lsf_seg1_bitmask.tif',
30064771092: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV03_20151020_10400100125F0F00_104001001298F100_2m_lsf_seg1_bitmask.tif',
30064771094: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV03_20210315_1040010066A5D200_104001006770A700_2m_lsf_seg11_bitmask.tif',
30064771090: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20191026_103001009C22C400_103001009CC8F200_2m_lsf_seg1_bitmask.tif',
30064771087: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20170729_103001006EAACB00_103001006D208B00_2m_lsf_seg1_dem.tif',
30064771084: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20170724_103001006D472600_103001006E241A00_2m_lsf_seg2_bitmask.tif',
30064771083: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20170612_10200100618B7200_10200100612AED00_2m_lsf_seg1_dem.tif',
30064771089: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20191026_103001009B931A00_103001009CA1C200_2m_lsf_seg1_dem.tif',
30064771081: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20170505_102001006213BD00_1020010060D46800_2m_lsf_seg1_dem.tif',
30064771074: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20150918_1020010042926D00_10200100438AAA00_2m_lsf_seg2_bitmask.tif',
4294967312: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20170729_103001006EAACB00_103001006D208B00_2m_lsf_seg1_bitmask.tif',
4294967296: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20120402_102001001A8F1B00_102001001A93FB00_2m_lsf_seg1_bitmask.tif',
4294967305: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20190818_102001008EBDEE00_102001008B650400_2m_lsf_seg1_dem.tif',
4294967311: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20170724_103001006D472600_103001006E241A00_2m_lsf_seg2_dem.tif',
4294967300: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20160926_102001005377FC00_10200100569CB700_2m_lsf_seg1_bitmask.tif',
4294967320: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20170505_102001006213BD00_1020010060D46800_2m_lsf_seg1_bitmask.tif',
4294967326: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV03_20210315_1040010066A5D200_104001006770A700_2m_lsf_seg13_bitmask.tif',
4294967319: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV03_20210315_1040010066A5D200_104001006770A700_2m_lsf_seg14_dem.tif',
4294967316: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV03_20170806_104001003148F400_104001002FC8AD00_2m_lsf_seg1_bitmask.tif',
4294967317: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV03_20170806_104001003148F400_104001002FC8AD00_2m_lsf_seg1_dem.tif',
4294967299: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20150918_1020010042926D00_10200100438AAA00_2m_lsf_seg2_dem.tif',
4294967297: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20120402_102001001A8F1B00_102001001A93FB00_2m_lsf_seg1_dem.tif',
4294967325: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV03_20210315_1040010066A5D200_104001006770A700_2m_lsf_seg11_dem.tif',
4294967301: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20160926_102001005377FC00_10200100569CB700_2m_lsf_seg1_dem.tif',
4294967315: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20191026_103001009C22C400_103001009CC8F200_2m_lsf_seg1_dem.tif',
4294967322: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20191026_103001009B931A00_103001009CA1C200_2m_lsf_seg1_bitmask.tif',
4294967318: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV03_20210315_1040010066A5D200_104001006770A700_2m_lsf_seg14_bitmask.tif',
4294967304: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20190818_102001008EBDEE00_102001008B650400_2m_lsf_seg1_bitmask.tif',
4294967302: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20170612_10200100618B7200_10200100612AED00_2m_lsf_seg1_bitmask.tif',
4294967309: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20170214_1030010064C30800_1030010064567600_2m_lsf_seg1_dem.tif',
4294967324: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV03_20210315_1040010066A5D200_104001006770A700_2m_lsf_seg11_bitmask.tif',
4294967314: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20191026_103001009C22C400_103001009CC8F200_2m_lsf_seg1_bitmask.tif',
4294967313: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20170729_103001006EAACB00_103001006D208B00_2m_lsf_seg1_dem.tif',
4294967310: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20170724_103001006D472600_103001006E241A00_2m_lsf_seg2_bitmask.tif',
4294967327: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV03_20210315_1040010066A5D200_104001006770A700_2m_lsf_seg13_dem.tif',
4294967308: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20170214_1030010064C30800_1030010064567600_2m_lsf_seg1_bitmask.tif',
4294967307: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20211006_10200100B8BA0100_10200100B9218100_2m_lsf_seg1_dem.tif',
4294967303: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20170612_10200100618B7200_10200100612AED00_2m_lsf_seg1_dem.tif',
4294967323: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20191026_103001009B931A00_103001009CA1C200_2m_lsf_seg1_dem.tif',
4294967306: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20211006_10200100B8BA0100_10200100B9218100_2m_lsf_seg1_bitmask.tif',
4294967321: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20170505_102001006213BD00_1020010060D46800_2m_lsf_seg1_dem.tif',
4294967298: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20150918_1020010042926D00_10200100438AAA00_2m_lsf_seg2_bitmask.tif',
51539607568: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20170729_103001006EAACB00_103001006D208B00_2m_lsf_seg1_bitmask.tif',
51539607552: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20120402_102001001A8F1B00_102001001A93FB00_2m_lsf_seg1_bitmask.tif',
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68719476769: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20191026_103001009B931A00_103001009CA1C200_2m_lsf_seg1_dem.tif',
68719476746: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20211006_10200100B8BA0100_10200100B9218100_2m_lsf_seg1_bitmask.tif',
68719476743: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20170505_102001006213BD00_1020010060D46800_2m_lsf_seg1_dem.tif',
68719476738: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20150918_1020010042926D00_10200100438AAA00_2m_lsf_seg2_bitmask.tif',
34359738382: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20170729_103001006EAACB00_103001006D208B00_2m_lsf_seg1_bitmask.tif',
34359738368: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20120402_102001001A8F1B00_102001001A93FB00_2m_lsf_seg1_bitmask.tif',
34359738391: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20190818_102001008EBDEE00_102001008B650400_2m_lsf_seg1_dem.tif',
34359738401: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV03_20151020_10400100125F0F00_104001001298F100_2m_lsf_seg1_dem.tif',
34359738381: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20170724_103001006D472600_103001006E241A00_2m_lsf_seg2_dem.tif',
34359738372: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20160926_102001005377FC00_10200100569CB700_2m_lsf_seg1_bitmask.tif',
34359738396: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20151018_1020010045B22800_10200100479AFE00_2m_lsf_seg1_bitmask.tif',
34359738374: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20170505_102001006213BD00_1020010060D46800_2m_lsf_seg1_bitmask.tif',
34359738392: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV03_20210315_1040010066A5D200_104001006770A700_2m_lsf_seg13_bitmask.tif',
34359738395: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV03_20210315_1040010066A5D200_104001006770A700_2m_lsf_seg14_dem.tif',
34359738386: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV03_20170806_104001003148F400_104001002FC8AD00_2m_lsf_seg1_bitmask.tif',
34359738387: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV03_20170806_104001003148F400_104001002FC8AD00_2m_lsf_seg1_dem.tif',
34359738371: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20150918_1020010042926D00_10200100438AAA00_2m_lsf_seg2_dem.tif',
34359738369: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20120402_102001001A8F1B00_102001001A93FB00_2m_lsf_seg1_dem.tif',
34359738389: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV03_20210315_1040010066A5D200_104001006770A700_2m_lsf_seg11_dem.tif',
34359738373: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20160926_102001005377FC00_10200100569CB700_2m_lsf_seg1_dem.tif',
34359738385: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20191026_103001009C22C400_103001009CC8F200_2m_lsf_seg1_dem.tif',
34359738398: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20191026_103001009B931A00_103001009CA1C200_2m_lsf_seg1_bitmask.tif',
34359738394: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV03_20210315_1040010066A5D200_104001006770A700_2m_lsf_seg14_bitmask.tif',
34359738390: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20190818_102001008EBDEE00_102001008B650400_2m_lsf_seg1_bitmask.tif',
34359738397: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20151018_1020010045B22800_10200100479AFE00_2m_lsf_seg1_dem.tif',
34359738376: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20170612_10200100618B7200_10200100612AED00_2m_lsf_seg1_bitmask.tif',
34359738400: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV03_20151020_10400100125F0F00_104001001298F100_2m_lsf_seg1_bitmask.tif',
34359738388: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV03_20210315_1040010066A5D200_104001006770A700_2m_lsf_seg11_bitmask.tif',
34359738403: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20170214_1030010064C30800_1030010064567600_2m_lsf_seg1_dem.tif',
34359738384: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20191026_103001009C22C400_103001009CC8F200_2m_lsf_seg1_bitmask.tif',
34359738383: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20170729_103001006EAACB00_103001006D208B00_2m_lsf_seg1_dem.tif',
34359738380: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20170724_103001006D472600_103001006E241A00_2m_lsf_seg2_bitmask.tif',
34359738393: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV03_20210315_1040010066A5D200_104001006770A700_2m_lsf_seg13_dem.tif',
34359738402: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20170214_1030010064C30800_1030010064567600_2m_lsf_seg1_bitmask.tif',
34359738379: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20211006_10200100B8BA0100_10200100B9218100_2m_lsf_seg1_dem.tif',
34359738377: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20170612_10200100618B7200_10200100612AED00_2m_lsf_seg1_dem.tif',
34359738399: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20191026_103001009B931A00_103001009CA1C200_2m_lsf_seg1_dem.tif',
34359738378: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20211006_10200100B8BA0100_10200100B9218100_2m_lsf_seg1_bitmask.tif',
34359738375: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20170505_102001006213BD00_1020010060D46800_2m_lsf_seg1_dem.tif',
34359738370: '/vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20150918_1020010042926D00_10200100438AAA00_2m_lsf_seg2_bitmask.tif'}
Pull Out Bounding Box of Raster¶
This step requires AWS credentials to be able to access S3 and gdalinfo be installed on the host machine to read the bounding box for each raster sampled by SlideRule.
In [8]:
# helper functions
def getXY(line):
line = line.replace("(","$")
line = line.replace(")","$")
point = line.split("$")[1]
coord = point.split(",")
x = float(coord[0].strip())
y = float(coord[1].strip())
return x, y
def getLonLat(line):
line = line.replace("(","$")
line = line.replace(")","$")
point = line.split("$")[3]
coord = point.split(",")
deg, minutes, seconds, direction = re.split('[d\'"]', coord[1].strip())
lon = (float(deg) + float(minutes)/60 + float(seconds)/(60*60)) * (-1 if direction in ['W', 'S'] else 1)
deg, minutes, seconds, direction = re.split('[d\'"]', coord[0].strip())
lat = (float(deg) + float(minutes)/60 + float(seconds)/(60*60)) * (-1 if direction in ['W', 'S'] else 1)
return [lon, lat]
def getBB(dem):
os.system("gdalinfo {} > /tmp/r.txt".format(dem))
with open("/tmp/r.txt", "r") as file:
lines = file.readlines()
for line in lines:
if "Upper Left" in line:
ul = getLonLat(line)
elif "Lower Left" in line:
ll = getLonLat(line)
elif "Upper Right" in line:
ur = getLonLat(line)
elif "Lower Right" in line:
lr = getLonLat(line)
return ul + ll + lr + ur + ul
In [9]:
file_dict = {}
for file_id, file_name in gdf.attrs['file_directory'].items():
if "bitmask" in file_name:
continue
if file_name not in file_dict:
file_dict[file_name] = {"ids": []}
file_dict[file_name]["ids"].append(file_id)
In [10]:
# get boundaries for each raster
for file_name in file_dict:
print("Retrieving raster info for:", file_name)
rlist = getBB(file_name)
file_dict[file_name]["region"] = sliderule.toregion(rlist)
Retrieving raster info for: /vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV03_20151020_10400100125F0F00_104001001298F100_2m_lsf_seg1_dem.tif Retrieving raster info for: /vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20170724_103001006D472600_103001006E241A00_2m_lsf_seg2_dem.tif Retrieving raster info for: /vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV03_20170806_104001003148F400_104001002FC8AD00_2m_lsf_seg1_dem.tif Retrieving raster info for: /vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20150918_1020010042926D00_10200100438AAA00_2m_lsf_seg2_dem.tif Retrieving raster info for: /vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20120402_102001001A8F1B00_102001001A93FB00_2m_lsf_seg1_dem.tif Retrieving raster info for: /vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV03_20210315_1040010066A5D200_104001006770A700_2m_lsf_seg11_dem.tif Retrieving raster info for: /vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20160926_102001005377FC00_10200100569CB700_2m_lsf_seg1_dem.tif Retrieving raster info for: /vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20191026_103001009C22C400_103001009CC8F200_2m_lsf_seg1_dem.tif Retrieving raster info for: /vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20151018_1020010045B22800_10200100479AFE00_2m_lsf_seg1_dem.tif Retrieving raster info for: /vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20170729_103001006EAACB00_103001006D208B00_2m_lsf_seg1_dem.tif Retrieving raster info for: /vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20170612_10200100618B7200_10200100612AED00_2m_lsf_seg1_dem.tif Retrieving raster info for: /vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20191026_103001009B931A00_103001009CA1C200_2m_lsf_seg1_dem.tif Retrieving raster info for: /vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20170505_102001006213BD00_1020010060D46800_2m_lsf_seg1_dem.tif Retrieving raster info for: /vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20190818_102001008EBDEE00_102001008B650400_2m_lsf_seg1_dem.tif Retrieving raster info for: /vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV03_20210315_1040010066A5D200_104001006770A700_2m_lsf_seg14_dem.tif Retrieving raster info for: /vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV02_20170214_1030010064C30800_1030010064567600_2m_lsf_seg1_dem.tif Retrieving raster info for: /vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV03_20210315_1040010066A5D200_104001006770A700_2m_lsf_seg13_dem.tif Retrieving raster info for: /vsis3/pgc-opendata-dems/arcticdem/strips/s2s041/2m/n65w047/SETSM_s2s041_WV01_20211006_10200100B8BA0100_10200100B9218100_2m_lsf_seg1_dem.tif
Pull Out Individual DEM Values and Put in Separate Columns¶
In [11]:
def getValue(x, file_ids):
for file_id in file_ids:
l = np.where(x['strips.file_id'] == file_id)[0]
if len(l) == 1:
return x['strips.value'][l[0]]
return None
sampled_data = gdf[gdf['strips.time'].notnull()]
for file_name in file_dict:
sampled_data[file_name] = sampled_data.apply(lambda x: getValue(x, file_dict[file_name]["ids"]), axis=1)
Plot Overlays of Boundaries and Returns¶
In [12]:
import warnings
with warnings.catch_warnings():
warnings.simplefilter("ignore")
fig = plt.figure(num=None, figsize=(24, 24))
region_lons = [p["lon"] for p in region_of_interest["poly"]]
region_lats = [p["lat"] for p in region_of_interest["poly"]]
ax = {}
k = 0
for file_name in file_dict:
raster = file_dict[file_name]
raster_lons = [p["lon"] for p in raster["region"]["poly"]]
raster_lats = [p["lat"] for p in raster["region"]["poly"]]
plot_data = sampled_data[sampled_data[file_name].notnull()]
ax[k] = plt.subplot(5,4,k+1)
gdf.plot(ax=ax[k], column='h_mean', color='y', markersize=0.5)
plot_data.plot(ax=ax[k], column='h_mean', color='b', markersize=0.5)
ax[k].plot(region_lons, region_lats, linewidth=1.5, color='r', zorder=2)
ax[k].plot(raster_lons, raster_lats, linewidth=1.5, color='g', zorder=2)
k += 1
plt.tight_layout()
Plot the Different ArcticDEM Values against the SlideRule ATL06-SR Values¶
In [13]:
# Select DEM File ID
file_name = list(file_dict.keys())[0]
# Setup Plot
fig,ax = plt.subplots(num=None, figsize=(10, 8))
ax.set_title("SlideRule vs. ArcticDEM Elevations")
ax.set_xlabel('distance (m)')
ax.set_ylabel('height (m)')
legend_elements = []
# Filter Data to Plot
plot_data = sampled_data[sampled_data[file_name].notnull()]
# Set X Axis
x_axis = plot_data["x_atc"]
# Plot SlideRule ATL06 Elevations
sc1 = ax.scatter(x_axis, plot_data["h_mean"].values, c='red', s=2.5)
legend_elements.append(matplotlib.lines.Line2D([0], [0], color='red', lw=6, label='ATL06-SR'))
# Plot ArcticDEM Elevations
sc2 = ax.scatter(x_axis, plot_data[file_name].values, c='blue', s=2.5)
legend_elements.append(matplotlib.lines.Line2D([0], [0], color='blue', lw=6, label='ArcticDEM'))
# Display Legend
lgd = ax.legend(handles=legend_elements, loc=3, frameon=True)
lgd.get_frame().set_alpha(1.0)
lgd.get_frame().set_edgecolor('white')
# Show Plot
plt.show()
In [ ]: