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#! /usr/bin/env python
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#################################################################
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### This program is part of PyINT v2.1 ###
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### Copy Right (c): 2017-2019, Yunmeng Cao ###
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### Author: Yunmeng Cao ###
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### Contact : ymcmrs@gmail.com ###
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#################################################################
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import numpy as np
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import os
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import sys
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import time
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import glob
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import argparse
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import subprocess
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from pyint import _utils as ut
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def work(data0):
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"""Worker function for parallel processing"""
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cmd = data0[0]
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err_file = data0[1]
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p = subprocess.run(cmd, shell=False, stderr=subprocess.PIPE, stdout=subprocess.PIPE)
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stdout = p.stdout
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stderr = p.stderr
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if type(stderr) == bytes:
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aa = stderr.decode("utf-8")
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else:
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aa = stderr
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if aa:
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print(aa)
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str0 = cmd[0] + ' ' + cmd[1] + ' ' + cmd[2] + '\n'
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with open(err_file, 'a') as f:
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f.write(str0)
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f.write(aa)
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f.write('\n')
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return
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INTRODUCTION = '''
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-------------------------------------------------------------------
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Apply GACOS atmospheric correction to all interferograms
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for one project using GAMMA.
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This script processes all interferogram pairs listed in
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ifgram_list.txt and applies GACOS tropospheric correction.
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-------------------------------------------------------------------
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'''
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EXAMPLE = '''
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Usage:
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gacos_gamma_all.py projectName
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gacos_gamma_all.py projectName --parallel 4
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gacos_gamma_all.py projectName --parallel 4 --ztd-dir /path/to/gacos
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gacos_gamma_all.py projectName --parallel 4 --ifgramList-txt /test/ifgram_list.txt
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-------------------------------------------------------------------
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'''
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def cmdLineParse():
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parser = argparse.ArgumentParser(description='Apply GACOS atmospheric correction to all interferograms for one project.',
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formatter_class=argparse.RawTextHelpFormatter,
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epilog=INTRODUCTION + '\n' + EXAMPLE)
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parser.add_argument('projectName', help='projectName for processing.')
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parser.add_argument('--parallel', dest='parallelNumb', type=int, default=1,
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help='Enable parallel processing and Specify the number of processors.')
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parser.add_argument('--ifgarmList-txt', dest='ifgarmListTxt',
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help='provided ifgram_list_txt. default: using ifgram_list.txt under projectName folder.')
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parser.add_argument('--ztd-dir', dest='ztdDir',
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help='Directory containing GACOS ZTD files. Default: projectName/GACOS')
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parser.add_argument('--email', dest='email',
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help='Email for GACOS auto-download.')
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parser.add_argument('--auto-download', dest='autoDownload', action='store_true',
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help='Automatically submit and download missing GACOS data.')
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parser.add_argument('--email-user', dest='emailUser', help='Email username for IMAP download.')
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parser.add_argument('--email-pass', dest='emailPass', help='Email password for IMAP download.')
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parser.add_argument('--email-host', dest='emailHost', default='imap.gmail.com', help='IMAP host.')
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parser.add_argument('--email-port', dest='emailPort', type=int, default=None, help='IMAP port.')
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parser.add_argument('--email-ssl', dest='emailSsl', action='store_true', default=True, help='Use SSL.')
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parser.add_argument('--wait-hours', dest='waitHours', type=int, default=24,
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help='Max hours to wait for GACOS email.')
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parser.add_argument('--skip-existing', dest='skipExisting', action='store_true',
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help='Skip pairs that already have corrected output.')
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inps = parser.parse_args()
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return inps
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def check_gacos_data_availability(dates, gacos_dir, bounds):
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"""
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Check if GACOS ZTD data is available for all dates.
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Parameters:
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-----------
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dates : list
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List of acquisition dates (YYYYMMDD format)
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gacos_dir : str
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Directory containing GACOS data
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bounds : tuple
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Bounding box (West, South, East, North)
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Returns:
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--------
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missing_dates : list
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List of dates that don't have GACOS data
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"""
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missing_dates = []
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for date in dates:
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# Check for ZTD files
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ztd_pattern = os.path.join(gacos_dir, date + "*.ztd.tif")
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ztd_files = glob.glob(ztd_pattern)
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if not ztd_files:
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# Also check for .ztd format
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ztd_pattern = os.path.join(gacos_dir, date + "*.ztd")
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ztd_files = glob.glob(ztd_pattern)
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if not ztd_files:
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missing_dates.append(date)
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return missing_dates
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def get_project_dates(projectName, scratchDir):
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"""
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Get all acquisition dates from the project.
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Returns:
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--------
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dates : list
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List of unique acquisition dates
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"""
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slcDir = scratchDir + '/' + projectName + "/SLC"
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rslcDir = scratchDir + '/' + projectName + "/RSLC"
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dates = set()
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# Check SLC directory
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if os.path.exists(slcDir):
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for item in os.listdir(slcDir):
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if os.path.isdir(os.path.join(slcDir, item)):
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if len(item) == 8 and item.isdigit():
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dates.add(item)
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# Check RSLC directory
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if os.path.exists(rslcDir):
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for item in os.listdir(rslcDir):
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if os.path.isdir(os.path.join(rslcDir, item)):
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if len(item) == 8 and item.isdigit():
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dates.add(item)
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return sorted(list(dates))
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def main(argv):
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start_time = time.time()
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inps = cmdLineParse()
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projectName = inps.projectName
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scratchDir = os.getenv('SCRATCHDIR')
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templateDir = os.getenv('TEMPLATEDIR')
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templateFile = templateDir + "/" + projectName + ".template"
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projectDir = scratchDir + '/' + projectName
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ifgDir = scratchDir + '/' + projectName + '/ifgrams'
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templateDict = ut.update_template(templateFile)
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rlks = templateDict['range_looks']
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azlks = templateDict['azimuth_looks']
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masterDate = templateDict['masterDate']
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# GACOS data directory (CLI > template > default)
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if inps.ztdDir:
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gacosDir = inps.ztdDir
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elif templateDict.get('gacos_dir', '').strip():
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gacosDir = templateDict['gacos_dir'].strip()
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else:
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gacosDir = projectDir + '/GACOS'
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if not os.path.exists(gacosDir):
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os.makedirs(gacosDir)
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print(f"Created GACOS directory: {gacosDir}")
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# 从模板读取邮箱配置（CLI 优先于模板）
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gacos_email = (inps.email or templateDict.get('gacos_email', '').strip()) or None
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gacos_email_user = (getattr(inps, 'emailUser', None) or templateDict.get('gacos_email_user', '').strip()) or None
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gacos_email_pass = (getattr(inps, 'emailPass', None) or templateDict.get('gacos_email_pass', '').strip()) or None
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gacos_email_host = (getattr(inps, 'emailHost', None) or templateDict.get('gacos_email_host', 'imap.163.com').strip())
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gacos_email_port = getattr(inps, 'emailPort', None) or int(templateDict.get('gacos_email_port', '993').strip())
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gacos_email_ssl = templateDict.get('gacos_email_ssl', '1').strip() == '1'
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gacos_check_interval = int(templateDict.get('gacos_check_interval', '60').strip())
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# 如果有用户名和密码，自动启用 auto-download
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auto_download = getattr(inps, 'autoDownload', False) or (gacos_email_user and gacos_email_pass)
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# Key files
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demDir = projectDir + '/DEM'
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slcDir = projectDir + '/SLC'
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dempar = demDir + '/' + masterDate + '_' + rlks + 'rlks.utm.dem.par'
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slcpar = slcDir + '/' + masterDate + '/' + masterDate + '.slc.par'
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figdir = projectDir + '/figure'
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# Import pure Python correction functions from gacos_gamma
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from pyint.gacos_gamma import (parse_dem_par, resample_ztd_to_dem,
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find_existing_ztd, apply_gacos_correction_python,
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submit_gacos_request, auto_gacos_workflow)
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# Get interferogram list
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if inps.ifgarmListTxt:
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ifgramList_txt = inps.ifgarmListTxt
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else:
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ifgramList_txt = projectDir + '/ifgram_list.txt'
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if not os.path.isfile(ifgramList_txt):
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print(f"Error: Interferogram list not found: {ifgramList_txt}")
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sys.exit(1)
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ifgList0 = ut.read_txt2array(ifgramList_txt)
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import numpy as np
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ifgList0 = np.atleast_2d(np.array(ifgList0))
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ifgList = list(ifgList0[:, 0])
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# Collect all unique dates
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all_dates = set()
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for ifg in ifgList:
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mdate = ut.yyyymmdd(ifg.split('-')[0])
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sdate = ut.yyyymmdd(ifg.split('-')[1])
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all_dates.add(mdate)
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all_dates.add(sdate)
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all_dates = sorted(list(all_dates))
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# Read DEM parameters
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dem_info = parse_dem_par(dempar)
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print("="*60)
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print("GACOS Atmospheric Correction (Pure Python, ZTD Pre-cache)")
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print(f"Project: {projectName}")
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print(f"Interferograms: {len(ifgList)}, Dates: {len(all_dates)}")
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print(f"DEM: {dem_info['width']}×{dem_info['nlines']}")
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print(f"GACOS dir: {gacosDir}")
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print("="*60)
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# Check GACOS data availability using updated find_existing_ztd
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print("\nChecking GACOS data availability...")
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missing_dates = []
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ztd_paths = {} # {date: ztd_file_path}
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for d in all_dates:
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ztd = find_existing_ztd(d, gacosDir)
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if ztd:
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ztd_paths[d] = ztd
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else:
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missing_dates.append(d)
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if missing_dates:
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print(f"\n⚠ GACOS data missing for {len(missing_dates)} dates: {missing_dates[:5]}...")
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print(f"ZTD available: {len(ztd_paths)}/{len(all_dates)} dates")
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# 自动提交/下载缺失的 GACOS 数据
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if gacos_email:
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# 从 DEM 参数计算研究区边界框
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North = dem_info['corner_lat']
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West = dem_info['corner_lon']
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South = North + (dem_info['nlines'] - 1) * dem_info['post_lat']
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East = West + (dem_info['width'] - 1) * dem_info['post_lon']
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bounds = (West, South, East, North)
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# 获取 SAR 采集时间（GACOS 要求非零）
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acq_time = templateDict.get('gacos_acq_time', '').strip()
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if not acq_time and os.path.isfile(slcpar):
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try:
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with open(slcpar) as f:
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for line in f:
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if line.startswith('center_time:'):
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secs = float(line.split()[1])
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h = int(secs // 3600)
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m = int((secs % 3600) // 60)
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acq_time = f"{h:02d}:{m:02d}"
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print(f"从 SLC par 读取采集时间: {acq_time} UTC")
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break
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except Exception:
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pass
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if not acq_time:
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acq_time = '10:00'
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print(f"使用默认采集时间: {acq_time} UTC")
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if auto_download and gacos_email_user and gacos_email_pass:
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# 完整自动流程：提交 → 等待邮件 → 下载
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email_config = {
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'username': gacos_email_user, 'password': gacos_email_pass,
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'host': gacos_email_host, 'port': gacos_email_port, 'ssl': gacos_email_ssl
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}
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wait_hours = getattr(inps, 'waitHours', 24)
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ztd_files = auto_gacos_workflow(
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dates=missing_dates, bounds=bounds, gacos_dir=gacosDir,
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email=gacos_email, email_config=email_config,
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acquisition_time=acq_time,
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wait_for_email=True, max_wait_hours=wait_hours,
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check_interval=gacos_check_interval
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)
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# 重新检查已下载的日期
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for d in missing_dates[:]:
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ztd = find_existing_ztd(d, gacosDir)
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if ztd:
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ztd_paths[d] = ztd
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missing_dates.remove(d)
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else:
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# 仅提交请求，不等待下载
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submit_gacos_request(
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dates=missing_dates, bounds=bounds,
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email=gacos_email, gacos_dir=gacosDir,
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acquisition_time=acq_time
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)
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print(f"\nGACOS request submitted for {len(missing_dates)} dates.")
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print("Please wait for email notification, then re-run this script.")
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if not ztd_paths:
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print("No ZTD data available yet. Exiting.")
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sys.exit(0)
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else:
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print("\nTip: 在模板中配置 gacos_email 可自动提交 GACOS 请求")
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print(" 配置 gacos_email_user + gacos_email_pass 可自动轮询下载")
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if missing_dates:
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print(f"\n仍有 {len(missing_dates)} 个日期缺失 ZTD，相关干涉对将被跳过")
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print(f"\nZTD available: {len(ztd_paths)}/{len(all_dates)} dates")
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# Pre-cache all ZTD resampled to DEM grid (each date only once)
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print(f"\nPre-loading {len(ztd_paths)} ZTD files to DEM grid...")
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t0 = time.time()
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ztd_cache = {}
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for i, (d, ztd_file) in enumerate(sorted(ztd_paths.items())):
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ztd_rsc = ztd_file + '.rsc'
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ztd_cache[d] = resample_ztd_to_dem(ztd_file, ztd_rsc, dem_info)
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if (i + 1) % 10 == 0 or i == 0:
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print(f" [{i+1}/{len(ztd_paths)}] {d}")
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t_cache = time.time() - t0
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mem_gb = sum(v.nbytes for v in ztd_cache.values()) / 1024**3
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print(f" Pre-load done: {t_cache:.1f}s, ~{mem_gb:.2f} GB")
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# Read incidence angle and wavelength from SLC par
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import numpy as np
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inc_angle_deg = 39.0
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wavelength = 0.0554657595
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if os.path.isfile(slcpar):
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with open(slcpar) as f:
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for line in f:
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if line.startswith('incidence_angle:'):
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inc_angle_deg = float(line.split(':')[1].strip().split()[0])
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if line.startswith('radar_frequency:'):
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freq = float(line.split(':')[1].strip().split()[0])
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wavelength = 299792458.0 / freq
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cos_inc = np.cos(np.radians(inc_angle_deg))
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ztd_to_phase = 4.0 * np.pi / wavelength
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print(f"\n入射角: {inc_angle_deg:.4f}°, 波长: {wavelength:.10f} m")
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# Process each pair
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print(f"\nProcessing {len(ifgList)} interferograms...\n")
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ok_count = 0
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skip_count = 0
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err_count = 0
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errors = []
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plot_count = 0
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MAX_PLOTS = 5 # only plot first 5 pairs
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for i, ifg in enumerate(ifgList):
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mdate = ut.yyyymmdd(ifg.split('-')[0])
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sdate = ut.yyyymmdd(ifg.split('-')[1])
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pair = mdate + '-' + sdate
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workDir = ifgDir + '/' + pair
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unw_file = workDir + '/geo_' + pair + '_' + rlks + 'rlks.diff_filt.unw'
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out_file = workDir + '/geo_' + pair + '_' + rlks + 'rlks.diff_filt.unw.gacos'
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# Skip if already exists
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if inps.skipExisting and os.path.isfile(out_file) and os.path.getsize(out_file) > 0:
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skip_count += 1
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continue
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# Skip if input missing
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if not os.path.isfile(unw_file):
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err_count += 1
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errors.append(f"{pair}: geo_unw not found")
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continue
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# Skip if ZTD missing
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if mdate not in ztd_cache or sdate not in ztd_cache:
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err_count += 1
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errors.append(f"{pair}: ZTD missing for {mdate if mdate not in ztd_cache else sdate}")
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continue
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try:
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# Read unwrapped phase
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unw_data = np.fromfile(unw_file, dtype=np.float32).reshape(
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dem_info['nlines'], dem_info['width'])
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# Compute phase correction from cached ZTD
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dztd = ztd_cache[sdate] - ztd_cache[mdate]
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phase_correction = dztd * ztd_to_phase / cos_inc
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# Valid pixel mask (exclude zeros, NaN, GAMMA artifacts/unwrap errors)
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PHASE_THRESH = 1000.0
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valid = ((unw_data != 0)
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& np.isfinite(unw_data)
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& (np.abs(unw_data) < PHASE_THRESH)
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& np.isfinite(phase_correction))
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n_valid = np.sum(valid)
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if n_valid == 0:
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err_count += 1
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errors.append(f"{pair}: no valid pixels")
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continue
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|
||||
std_before = float(np.std(unw_data[valid]))
|
||||
|
||||
# Apply correction (preserve original data, only modify valid pixels)
|
||||
corrected = unw_data.copy()
|
||||
corrected[valid] = unw_data[valid] - phase_correction[valid]
|
||||
|
||||
# Demean (only valid pixels)
|
||||
mean_val = np.mean(corrected[valid])
|
||||
corrected[valid] -= mean_val
|
||||
|
||||
std_after = float(np.std(corrected[valid]))
|
||||
|
||||
# Save
|
||||
corrected.astype(np.float32).tofile(out_file)
|
||||
|
||||
# Generate BMP preview using rasdt_pwr
|
||||
geo_amp = workDir + '/geo_' + masterDate + '_' + rlks + 'rlks.amp'
|
||||
if os.path.isfile(geo_amp):
|
||||
call_str = ('rasdt_pwr ' + out_file + ' ' + geo_amp + ' '
|
||||
+ str(dem_info['width'])
|
||||
+ ' - - - - -3.14 3.14 1 rmg.cm')
|
||||
os.system(call_str)
|
||||
|
||||
reduction = (1 - std_after / std_before) * 100 if std_before > 0 else 0
|
||||
ok_count += 1
|
||||
|
||||
# Plot first N pairs
|
||||
do_plot = (plot_count < MAX_PLOTS)
|
||||
if do_plot:
|
||||
from pyint.gacos_gamma import plot_gacos_comparison
|
||||
plot_gacos_comparison(unw_data, phase_correction, corrected,
|
||||
valid, dem_info, std_before, std_after,
|
||||
pair, figdir)
|
||||
plot_count += 1
|
||||
|
||||
if ok_count <= 5 or ok_count % 50 == 0:
|
||||
print(f" [{i+1}/{len(ifgList)}] {pair}: ✅ std {std_before:.2f}->{std_after:.2f} ({reduction:.1f}%)")
|
||||
|
||||
except Exception as e:
|
||||
err_count += 1
|
||||
errors.append(f"{pair}: {str(e)}")
|
||||
if err_count <= 3:
|
||||
print(f" [{i+1}/{len(ifgList)}] {pair}: ❌ {e}")
|
||||
|
||||
elapsed = time.time() - start_time
|
||||
|
||||
# Summary
|
||||
print("\n" + "="*60)
|
||||
print("GACOS Atmospheric Correction Summary")
|
||||
print("="*60)
|
||||
print(f" Total: {len(ifgList)}")
|
||||
print(f" Success: {ok_count}")
|
||||
print(f" Skipped: {skip_count}")
|
||||
print(f" Failed: {err_count}")
|
||||
|
||||
if errors:
|
||||
err_txt = projectDir + '/gacos_gamma_all.err'
|
||||
with open(err_txt, 'w') as f:
|
||||
for e in errors:
|
||||
f.write(e + '\n')
|
||||
print(f"\n Error log: {err_txt}")
|
||||
for e in errors[:5]:
|
||||
print(f" {e}")
|
||||
|
||||
print(f"\n Time: {elapsed/60:.1f} min")
|
||||
if plot_count > 0:
|
||||
print(f" Comparison plots: {figdir}/GACOS_comparison_*.png")
|
||||
print("="*60)
|
||||
|
||||
sys.exit(0)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
main(sys.argv[:])
|
||||
Reference in New Issue
Block a user