Driver for ENVI binary
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Description
A common format for imaging spectroscopy (a.k.a., hyperspectral) data is so-called "ENVI binary" (GDAL Driver; Library of Congress description . The format is super simple — just a plain text header file (see "Details" below; the most important fields for reading the values are the dimensions — "samples", "lines", "bands"; the interleave, a.k.a., dimension order; the data type, and the header offset; everything else is just metadata) and an uncompressed binary data cube (just a binary array of numbers).
The simplicity of the format makes it super easy to read. Locally, the binary can be loaded directly into a Numpy memmap. Alternatively, for actual reading, here is an example of some pretty simple code I wrote once to manually do HTTP range-gets to read parts of one of these files from an S3 bucket; most of this is just arithmetic to figure out exactly which bytes I want given the structure of the file:
def get_pixel(s3path, line, sample):
bucket, key = s3path.split("/", 1)
# From hdr file
nsamples = 13739
nlines = 12023
nbands = 425
# Retrieve the complete lines
linestart = line * nsamples * nbands
istart = linestart + sample
iend = istart + nsamples*nbands
resp = s3.get_object(Bucket=bucket, Key=key, Range=f'bytes={istart*4}-{iend*4-1}')
barray_all = resp["Body"].read()
# For each line, skip all but the exact pixel I want
barray = b''.join([barray_all[(i*4*nsamples):(i*4*nsamples+4)] for i in range(nbands)])
result = np.frombuffer(barray, np.float32).copy()
return result
It seems like it should be relatively straightforward to get this format to work with Kerchunk. I can take a stab at this myself, but I wanted to open this issue for your awareness and in case this is something that has a trivial and/or already existing implementation. If not, any advice you can give for doing this efficiently would be very helpful!
You can grab some test ENVI binary data here: https://avng.jpl.nasa.gov/pub/PBrodrick/isofit/test_data.zip (~1 GB uncompressed).
ENVI
description = {
AVIRIS-NG Measured Radiances in uW nm-1 cm-2 sr-1}
samples = 648
lines = 3609
bands = 425
header offset = 0
file type = ENVI Standard
data type = 4
interleave = bil
sensor type = Unknown
byte order = 0
map info = {UTM, 1.000, 1.000, 581226.667, 7916192.564, 5.2000000000e+000, 5.2000000000e+000, 4, North, WGS-84, units=Meters, rotation=42.00000000}
coordinate system string = {PROJCS["UTM_Zone_4N",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-159.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]]}
wavelength units = Nanometers
data ignore value = -9.99900000e+003
wavelength = {
376.859985, 381.869995, 386.880005, 391.890015, 396.890015, 401.899994,
406.910004, 411.920013, 416.929993, 421.940002, 426.950012, 431.959991,
436.959991, 441.970001, 446.980011, 451.989990, 457.000000, 462.010010,
467.019989, 472.019989, 477.029999, 482.040009, 487.049988, 492.059998,
497.070007, 502.079987, 507.089996, 512.090027, 517.099976, 522.109985,
527.119995, 532.130005, 537.140015, 542.150024, 547.150024, 552.159973,
557.169983, 562.179993, 567.190002, 572.200012, 577.210022, 582.219971,
587.219971, 592.229980, 597.239990, 602.250000, 607.260010, 612.270020,
617.280029, 622.280029, 627.289978, 632.299988, 637.309998, 642.320007,
647.330017, 652.340027, 657.349976, 662.349976, 667.359985, 672.369995,
677.380005, 682.390015, 687.400024, 692.409973, 697.409973, 702.419983,
707.429993, 712.440002, 717.450012, 722.460022, 727.469971, 732.479980,
737.479980, 742.489990, 747.500000, 752.510010, 757.520020, 762.530029,
767.539978, 772.539978, 777.549988, 782.559998, 787.570007, 792.580017,
797.590027, 802.599976, 807.609985, 812.609985, 817.619995, 822.630005,
827.640015, 832.650024, 837.659973, 842.669983, 847.669983, 852.679993,
857.690002, 862.700012, 867.710022, 872.719971, 877.729980, 882.739990,
887.739990, 892.750000, 897.760010, 902.770020, 907.780029, 912.789978,
917.799988, 922.809998, 927.809998, 932.820007, 937.830017, 942.840027,
947.849976, 952.859985, 957.869995, 962.869995, 967.880005, 972.890015,
977.900024, 982.909973, 987.919983, 992.929993, 997.940002, 1002.940002,
1007.950012, 1012.960022, 1017.969971, 1022.979980, 1027.989990, 1033.000000,
1038.000000, 1043.010010, 1048.020020, 1053.030029, 1058.040039, 1063.050049,
1068.060059, 1073.069946, 1078.069946, 1083.079956, 1088.089966, 1093.099976,
1098.109985, 1103.119995, 1108.130005, 1113.130005, 1118.140015, 1123.150024,
1128.160034, 1133.170044, 1138.180054, 1143.189941, 1148.199951, 1153.199951,
1158.209961, 1163.219971, 1168.229980, 1173.239990, 1178.250000, 1183.260010,
1188.260010, 1193.270020, 1198.280029, 1203.290039, 1208.300049, 1213.310059,
1218.319946, 1223.329956, 1228.329956, 1233.339966, 1238.349976, 1243.359985,
1248.369995, 1253.380005, 1258.390015, 1263.390015, 1268.400024, 1273.410034,
1278.420044, 1283.430054, 1288.439941, 1293.449951, 1298.459961, 1303.459961,
1308.469971, 1313.479980, 1318.489990, 1323.500000, 1328.510010, 1333.520020,
1338.520020, 1343.530029, 1348.540039, 1353.550049, 1358.560059, 1363.569946,
1368.579956, 1373.589966, 1378.589966, 1383.599976, 1388.609985, 1393.619995,
1398.630005, 1403.640015, 1408.650024, 1413.650024, 1418.660034, 1423.670044,
1428.680054, 1433.689941, 1438.699951, 1443.709961, 1448.719971, 1453.719971,
1458.729980, 1463.739990, 1468.750000, 1473.760010, 1478.770020, 1483.780029,
1488.780029, 1493.790039, 1498.800049, 1503.810059, 1508.819946, 1513.829956,
1518.839966, 1523.849976, 1528.849976, 1533.859985, 1538.869995, 1543.880005,
1548.890015, 1553.900024, 1558.910034, 1563.910034, 1568.920044, 1573.930054,
1578.939941, 1583.949951, 1588.959961, 1593.969971, 1598.979980, 1603.979980,
1608.989990, 1614.000000, 1619.010010, 1624.020020, 1629.030029, 1634.040039,
1639.040039, 1644.050049, 1649.060059, 1654.069946, 1659.079956, 1664.089966,
1669.099976, 1674.109985, 1679.109985, 1684.119995, 1689.130005, 1694.140015,
1699.150024, 1704.160034, 1709.170044, 1714.170044, 1719.180054, 1724.189941,
1729.199951, 1734.209961, 1739.219971, 1744.229980, 1749.239990, 1754.239990,
1759.250000, 1764.260010, 1769.270020, 1774.280029, 1779.290039, 1784.300049,
1789.300049, 1794.310059, 1799.319946, 1804.329956, 1809.339966, 1814.349976,
1819.359985, 1824.369995, 1829.369995, 1834.380005, 1839.390015, 1844.400024,
1849.410034, 1854.420044, 1859.430054, 1864.439941, 1869.439941, 1874.449951,
1879.459961, 1884.469971, 1889.479980, 1894.489990, 1899.500000, 1904.500000,
1909.510010, 1914.520020, 1919.530029, 1924.540039, 1929.550049, 1934.560059,
1939.569946, 1944.569946, 1949.579956, 1954.589966, 1959.599976, 1964.609985,
1969.619995, 1974.630005, 1979.630005, 1984.640015, 1989.650024, 1994.660034,
1999.670044, 2004.680054, 2009.689941, 2014.699951, 2019.699951, 2024.709961,
2029.719971, 2034.729980, 2039.739990, 2044.750000, 2049.760010, 2054.760010,
2059.770020, 2064.780029, 2069.790039, 2074.800049, 2079.810059, 2084.820068,
2089.830078, 2094.830078, 2099.840088, 2104.850098, 2109.860107, 2114.870117,
2119.879883, 2124.889893, 2129.889893, 2134.899902, 2139.909912, 2144.919922,
2149.929932, 2154.939941, 2159.949951, 2164.959961, 2169.959961, 2174.969971,
2179.979980, 2184.989990, 2190.000000, 2195.010010, 2200.020020, 2205.020020,
2210.030029, 2215.040039, 2220.050049, 2225.060059, 2230.070068, 2235.080078,
2240.090088, 2245.090088, 2250.100098, 2255.110107, 2260.120117, 2265.129883,
2270.139893, 2275.149902, 2280.149902, 2285.159912, 2290.169922, 2295.179932,
2300.189941, 2305.199951, 2310.209961, 2315.219971, 2320.219971, 2325.229980,
2330.239990, 2335.250000, 2340.260010, 2345.270020, 2350.280029, 2355.280029,
2360.290039, 2365.300049, 2370.310059, 2375.320068, 2380.330078, 2385.340088,
2390.350098, 2395.350098, 2400.360107, 2405.370117, 2410.379883, 2415.389893,
2420.399902, 2425.409912, 2430.409912, 2435.419922, 2440.429932, 2445.439941,
2450.449951, 2455.459961, 2460.469971, 2465.479980, 2470.479980, 2475.489990,
2480.500000, 2485.510010, 2490.520020, 2495.530029, 2500.540039}
bbl = {
0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1}
crosstrack scatter file = /home/winstono/isat-ang2017/ang/cal/data/20170125_via_ang20160925t182412_crf
flat field file = /home/winstono/isat-ang2017/ang/cal/data/20170320_ang20170313_BLUSS_avg_rows300-340_ff
spectral scatter file = /home/winstono/isat-ang2017/ang/cal/data/20170125_via_ang20160925t182412_srf
wavelength file = /home/winstono/isat-ang2017/ang/cal/data/20170320_ang20170228_wavelength_fit_full.txt
radiance version = v2.0
rcc file = /home/winstono/isat-ang2017/ang/cal/data/20170508_ang20170327_avg_rows300-340_UVCorr2_Ivanpah.rcc
smoothing factors = {
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0}
bad pixel map = /home/winstono/isat-ang2017/ang/cal/data/ANGv5_bad
correction factors = {
1.026544, 0.975609, 0.969727, 1.029656, 0.988967, 1.018973, 1.017577,
1.004838, 1.00897, 1.016186, 1.018273, 0.9931, 1.005246, 0.99209, 0.991851,
0.997428, 1.003766, 0.983309, 1.00745, 1.008428, 1.015393, 1.001143,
0.99794, 1.005876, 1.004355, 0.996202, 1.013719, 1.01524, 0.992923,
1.008044, 1.001407, 1.001327, 1.004922, 1.004549, 1.003052, 0.995904,
0.99239, 0.996899, 0.995087, 1.011138, 1.015578, 1.000515, 0.983446,
0.980761, 0.988457, 0.995277, 1.001243, 0.992967, 0.995833, 1.000739,
1.007824, 1.01108, 1.004426, 1.000608, 0.995232, 0.996956, 0.996814,
1.000766, 0.997363, 0.998798, 0.998295, 1.000719, 1.000319, 0.999109,
0.998789, 1.001744, 1.002922, 0.999334, 0.992669, 0.999882, 0.999448,
0.998319, 0.998913, 0.997763, 0.999898, 1.001954, 1.002668, 0.999585,
0.997927, 0.996933, 1.000254, 0.997913, 0.997695, 0.997922, 1.000295,
1.001383, 0.999606, 0.999615, 0.997771, 0.996955, 0.998591, 0.999429,
1.000634, 0.99842, 0.999864, 0.997419, 1.002974, 1.002455, 0.99388,
1.005576, 1.007569, 1.002015, 1.00082, 1.001783, 0.994083, 0.999588,
1.001613, 1.000794, 1.007976, 1.017154, 1.011573, 0.959617, 0.99013,
1.016944, 1.005255, 0.99956, 0.993014, 0.995478, 1.004184, 1.004365,
0.998866, 0.997478, 0.998864, 1.000198, 1.001026, 1.012818, 1.00887,
1.002622, 0.991704, 0.99439, 0.994025, 0.993853, 0.993512, 0.992114,
0.994353, 0.997018, 1.00731, 1.016144, 1.021373, 1.008439, 1.001351,
1.003774, 1.006404, 1.007656, 1.003898, 0.988812, 0.977122, 0.976738,
0.970548, 0.992323, 1.002309, 1.021262, 1.040737, 1.030007, 0.994501,
0.983827, 0.986601, 0.992799, 0.989428, 0.990848, 0.994948, 1.003233,
1.000544, 1.002387, 1.002951, 1.008943, 1.001937, 1.0, 1.000199, 0.99942,
1.000686, 0.996346, 0.999698, 1.004726, 1.013203, 1.031735, 1.070986,
1.124351, 1.124366, 1.071024, 1.032369, 1.0, 0.978471, 0.961271, 0.951125,
0.94224, 0.948668, 0.945691, 0.949896, 0.94118, 0.942367, 0.937963,
0.933965, 0.940542, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.049066, 0.998691, 1.004708, 1.022777, 1.032565, 1.019317,
1.008745, 1.016784, 0.996097, 1.00895, 1.015296, 1.015971, 0.997986,
1.003107, 0.989448, 0.982836, 0.992775, 1.006434, 1.011912, 0.996632,
0.993527, 0.993835, 1.001602, 0.999094, 1.001361, 1.002821, 1.0, 0.996195,
0.998547, 1.005623, 1.009702, 1.019359, 1.03181, 1.026902, 1.02219,
1.021165, 1.021439, 1.019507, 1.011553, 1.007719, 0.997928, 0.99925,
0.995913, 0.993325, 0.998542, 1.004434, 1.001799, 1.002388, 1.002471,
0.989743, 0.999623, 1.001244, 1.005697, 0.996956, 0.997879, 1.000352,
0.999578, 0.998633, 0.995279, 0.995565, 0.995618, 0.994672, 0.995092,
1.013101, 1.005043, 0.999838, 1.005662, 0.997329, 1.000979, 0.997206,
0.997364, 0.99712, 1.013492, 0.99689, 0.994616, 1.001993, 0.975311,
1.023498, 1.0, 1.017604, 1.005243, 0.998621, 1.201321, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.008026, 0.930517, 1.130575, 1.04995, 1.100582, 1.107349, 1.104479,
0.976991, 0.98455, 1.0213, 1.003581, 0.987331, 0.986703, 0.986082,
1.003758, 1.04593, 1.053078, 1.075534, 1.07393, 0.956494, 0.944168,
0.957104, 0.973998, 0.977388, 0.992751, 1.011782, 1.010359, 1.001183,
1.014152, 0.999397, 0.98972, 0.986854, 0.98902, 0.988449, 0.982488,
0.986148, 1.008809, 1.006432, 1.005187, 0.998986, 0.990348, 0.98851,
0.995412, 0.999075, 1.006345, 1.010067, 0.998997, 1.002425, 0.998917,
0.999995, 0.999388, 1.000087, 0.998517, 0.998554, 0.997518, 1.007376,
1.000557, 1.002869, 0.999265, 0.999976, 0.998917, 0.999386, 1.000019,
0.999052, 1.000542, 1.000959, 0.9996, 1.013352, 1.009027, 0.992849,
0.991391, 0.994493, 0.989809, 1.002201, 1.003178, 1.005953, 0.999522,
0.984077, 1.012673, 1.005727, 0.985077, 0.99504, 1.007871, 1.013276,
1.018331, 1.010026, 0.997215, 0.989224, 1.000441, 1.003543, 0.994868,
0.993009, 0.983359, 0.988463, 0.9938, 0.996888, 0.991734, 0.988354,
0.971664, 0.976911, 1.008247, 1.034915, 0.977875, 1.032142, 1.018619,
0.961711, 1.00908, 1.060654, 1.047971, 1.037051, 1.058743, 1.028421,
0.992166, 0.928429, 0.926041, 1.0}
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the ENVI header details and the get_pixel Python example, then inspect the supplied test_data.zip sample to understand the binary layout. Done should mean Kerchunk can represent the header-defined dimensions, interleave, data type, offset, and metadata for efficient access, with behavior validated against the sample data.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, numpy, python
- Domain
- cloud, data-engineering
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100