Thanks for making your work open source. I saw the results, and they are amazing. I'm trying to do a little test on Mac using gdal 3.5.1. However, I have the error below. Could it be an error related to the gdal version?
2022-07-26 23:44:22,796 - SIAC-V2.3.6 - INFO - Preprocessing for S2B_MSIL1C_20181225T143749_N0207_R096_T19HCC_20181225T175914.SAFE
2022-07-26 23:44:22,797 - SIAC-V2.3.6 - INFO - Doing per pixel angle resampling.
2022-07-26 23:44:58,394 - SIAC-V2.3.6 - INFO - Getting cloud mask.
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
File <timed exec>:4, in <module>
File ~/anaconda3/envs/geospatial_3.8/lib/python3.8/site-packages/SIAC/SIAC_S2.py:44, in SIAC_S2(s2_t, send_back, mcd43, vrt_dir, aoi, global_dem, cams_dir, jasmin, Gee)
27 def SIAC_S2(s2_t, send_back = False, mcd43 = home + '/MCD43/', vrt_dir = home + '/MCD43_VRT/', aoi = None,
28 global_dem = None, cams_dir = None, jasmin = False, Gee = True):
29 '''
30 if not os.path.exists(file_path + '/emus/'):
31 os.mkdir(file_path + '/emus/')
(...)
42 parmap(f, to_down)
43 '''
---> 44 rets = s2_pre_processing(s2_t, cams_dir, global_dem)
45 aero_atmos = []
46 for ret in rets:
File ~/anaconda3/envs/geospatial_3.8/lib/python3.8/site-packages/SIAC/s2_preprocessing.py:226, in s2_pre_processing(s2_dir, cams_dir, dem)
223 off = off[[0,1,3,4,7,8,9,10,11,12], None, None]# (band, nx, ny)
225 logger.info('Getting cloud mask.')
--> 226 cloud = do_cloud(cloud_bands, cloud_name, ref_scale=scale, ref_offset=off)
227 cloud_mask = cloud > 0.6# 0.4 is the sentinel hub default
228 clean_pixel = ((cloud>=0).sum() - cloud_mask.sum()) / 3348900. * 100.
File ~/anaconda3/envs/geospatial_3.8/lib/python3.8/site-packages/SIAC/s2_preprocessing.py:44, in do_cloud(cloud_bands, cloud_name, ref_scale, ref_offset)
40 def do_cloud(cloud_bands, cloud_name = None, ref_scale = 1/10000., ref_offset = 0.):
42 cl = Booster(model_file=model_filename)
---> 44 toas = [reproject_data(str(band), cloud_bands[0], dstNodata=0, resample=5).data for band in cloud_bands]
45 # print(ref_scale, ref_offset)
46 toas = np.array(toas) * ref_scale + ref_offset
File ~/anaconda3/envs/geospatial_3.8/lib/python3.8/site-packages/SIAC/s2_preprocessing.py:44, in <listcomp>(.0)
40 def do_cloud(cloud_bands, cloud_name = None, ref_scale = 1/10000., ref_offset = 0.):
42 cl = Booster(model_file=model_filename)
---> 44 toas = [reproject_data(str(band), cloud_bands[0], dstNodata=0, resample=5).data for band in cloud_bands]
45 # print(ref_scale, ref_offset)
46 toas = np.array(toas) * ref_scale + ref_offset
File ~/anaconda3/envs/geospatial_3.8/lib/python3.8/site-packages/SIAC/reproject.py:79, in reproject_data.__init__(self, source_img, target_img, dstSRS, srcNodata, dstNodata, outputType, verbose, xmin, xmax, ymin, ymax, xRes, yRes, xSize, ySize, resample)
77 raster_wkt = g.GetProjection()
78 dstSRS.ImportFromWkt(raster_wkt)
---> 79 self.g = gdal.Warp('', self.source_img, format = 'MEM', outputBounds = [xmin, ymin, xmax, ymax], dstNodata=self.dstNodata, warpOptions = ['NUM_THREADS=ALL_CPUS'],\
80 xRes = self.xRes, yRes = self.yRes, dstSRS = dstSRS, outputType = self.outputType, srcNodata = self.srcNodata, resampleAlg = self.resample)
82 else:
83 self.g = gdal.Warp('', self.source_img, format = 'MEM', outputBounds = [self.xmin, self.ymin, \
84 self.xmax, self.ymax], xRes = self.xRes, yRes = self.yRes, dstSRS = self.dstSRS, warpOptions = ['NUM_THREADS=ALL_CPUS'],\
85 copyMetadata=True, outputType = self.outputType, dstNodata=self.dstNodata, srcNodata = self.srcNodata, resampleAlg = self.resample)
File ~/anaconda3/envs/geospatial_3.8/lib/python3.8/site-packages/osgeo/gdal.py:660, in Warp(destNameOrDestDS, srcDSOrSrcDSTab, **kwargs)
650 """ Warp one or several datasets.
651 Arguments are :
652 destNameOrDestDS --- Output dataset name or object
(...)
656 other keywords arguments of gdal.WarpOptions()
657 If options is provided as a gdal.WarpOptions() object, other keywords are ignored. """
659 if 'options' not in kwargs or isinstance(kwargs['options'], (list, str)):
--> 660 (opts, callback, callback_data) = WarpOptions(**kwargs)
661 else:
662 (opts, callback, callback_data) = kwargs['options']
File ~/anaconda3/envs/geospatial_3.8/lib/python3.8/site-packages/osgeo/gdal.py:647, in WarpOptions(options, format, outputBounds, outputBoundsSRS, xRes, yRes, targetAlignedPixels, width, height, srcSRS, dstSRS, coordinateOperation, srcAlpha, dstAlpha, warpOptions, errorThreshold, warpMemoryLimit, creationOptions, outputType, workingType, resampleAlg, srcNodata, dstNodata, multithread, tps, rpc, geoloc, polynomialOrder, transformerOptions, cutlineDSName, cutlineLayer, cutlineWhere, cutlineSQL, cutlineBlend, cropToCutline, copyMetadata, metadataConflictValue, setColorInterpretation, overviewLevel, callback, callback_data)
644 if return_option_list:
645 return new_options
--> 647 return (GDALWarpAppOptions(new_options), callback, callback_data)
File ~/anaconda3/envs/geospatial_3.8/lib/python3.8/site-packages/osgeo/gdal.py:4318, in GDALWarpAppOptions.__init__(self, *args)
4316 def __init__(self, *args):
4317 r"""__init__(GDALWarpAppOptions self, char ** options) -> GDALWarpAppOptions"""
-> 4318 _gdal.GDALWarpAppOptions_swiginit(self, _gdal.new_GDALWarpAppOptions(*args))
RuntimeError: Translating source or target SRS failed:
Hello,
Thanks for making your work open source. I saw the results, and they are amazing. I'm trying to do a little test on Mac using gdal 3.5.1. However, I have the error below. Could it be an error related to the gdal version?
Thanks a lot in advance,
Carlos