379 lines
13 KiB
Python
Executable File
379 lines
13 KiB
Python
Executable File
#!/usr/bin/env python3
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# Generate grossOffsets (pixel) based on velocity field
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# Author: Minyan Zhong
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import numpy as np
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import pyproj
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import subprocess
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import isce
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import isceobj
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from iscesys.Component.ProductManager import ProductManager as PM
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import numpy as np
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from netCDF4 import Dataset
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import gdal
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from scipy.interpolate import interp2d, griddata
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import matplotlib.pyplot as plt
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class grossOffsets:
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def __init__(self):
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self.nfig = 1
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self.figsize = (10,10)
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## Antarctica Velocity File
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self.vel_file = '/net/jokull/nobak/mzzhong/Ant_Plot/Data/antarctica_ice_velocity_900m.nc'
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self.vProj = pyproj.Proj('+init=EPSG:3031')
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def setMode(self,mode):
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if mode == 'interior' or mode == 'exterior':
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self.mode = mode
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else:
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raise Exception('Wrong gross offset mode')
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def setLatFile(self,val):
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self.latfile = val
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def setLonFile(self,val):
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self.lonfile = val
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def setLosFile(self,val):
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self.losfile = val
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def setXSize(self,val):
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self.XSize = val
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def setYize(self,val):
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self.YSize = val
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def setMargin(self,val):
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self.margin = val
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def setWinSizeHgt(self,val):
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self.winSizeHgt = val
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def setWinSizeWidth(self,val):
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self.winSizeWidth = val
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def setSearchSizeHgt(self,val):
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self.searchSizeHgt = val
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def setSearchSizeWidth(self,val):
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self.searchSizeWidth = val
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def setSkipSizeHgt(self,val):
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self.skipSizeHgt = val
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def setSkipSizeWidth(self,val):
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self.skipSizeWidth = val
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# exterior mode
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def setOffsetLat(self,lat):
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self.lat = lat
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def setOffsetLon(self,lon):
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self.lon = lon
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def setOffsetInc(self,inc):
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self.inc = inc
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def setOffsetAzi(self,azi):
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self.azi = azi
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def setNumWinDown(self,numWinDown):
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self.numWinDown = numWinDown
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def setNumWinAcross(self,numWinAcross):
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self.numWinAcross = numWinAcross
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def setbTemp(self,val):
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self.bTemp = val
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def setPixelSize(self,azPixelSize,rngPixelSize):
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self.azPixelSize = azPixelSize
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self.rngPixelSize = rngPixelSize
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def get_veloData(self):
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print("getting velocity data...")
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fh=Dataset(self.vel_file,mode='r')
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self.vx = fh.variables['vx'][:]
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self.vy = fh.variables['vy'][:]
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self.vx = np.flipud(self.vx)
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self.vy = np.flipud(self.vy)
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self.v = np.sqrt(np.multiply(self.vx,self.vx)+np.multiply(self.vy,self.vy))
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print(self.v.shape)
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self.x0 = np.arange(-2800000,2800000,step=900)
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self.y0 = np.arange(-2800000,2800000,step=900)+200
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#x,y = np.meshgrid(self.x0,self.y0)
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#from mpl_toolkits.basemap import Basemap
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#self.AntVeloDataMap = Basemap(width=5600000,height=5600000,\
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# resolution='l',projection='stere',\
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# lat_ts=-71,lat_0=-90,lon_0=0)
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#self.vel_lon, self.vel_lat= self.vProj(x,y,inverse="true")
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def runGrossOffsets(self):
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###Pieces of information needed
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###These pieces of information come from the output of "topo" module from ISCE
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### llh - size(3) - lat,lon,hgt of pixel under consideration
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### los - size(2) - inc, azi LOS angles
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###These pieces of information come from an external velocity product, e.g from NSIDC
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### vx - scalar - Velocity in x direction at pixel under consideration
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### vy - scalar - Velocity in y direction at pixel under consideration
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### vproj - string - Projection system of the velocity field
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### - EPSG:3031 for Antarctica
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### - EPSG:3413 for Greenland
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#### The equations below describe the operations needed for a single pixel
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#### I will use Greenland as an example. Easy to change for Antarctica by changing the coordinate system.
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### Step 0: Set up projection transformers for ease of use
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self.llhProj = pyproj.Proj('+init=EPSG:4326') ##Standard lat,lon, hgt
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self.xyzProj = pyproj.Proj('+init=EPSG:4978') ##Standard xyz (ECEF)
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refPt = self.vProj(0.0, 0.0, inverse=True)
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print(refPt)
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### Step 1: Set up radar image information
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azPixelSize = self.azPixelSize
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rngPixelSize = self.rngPixelSize
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### Step 2: Cut the data
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print('Obtain the velocity data...')
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self.get_veloData()
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print('Extract the data to this radar scene...')
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if self.mode == 'interior':
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numWinDown = (self.YSize - self.margin*2 - self.searchSizeHgt*2 - self.winSizeHgt) // self.skipSizeHgt
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numWinAcross = (self.XSize - self.margin*2 - self.searchSizeWidth*2 - self.winSizeWidth) // self.skipSizeWidth
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lat = np.zeros(shape=(numWinDown,numWinAcross))
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lon = np.zeros(shape=(numWinDown,numWinAcross))
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inc = np.zeros(shape=(numWinDown,numWinAcross))
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azi = np.zeros(shape=(numWinDown,numWinAcross))
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self.centerOffsetHgt = self.searchSizeHgt+self.skipSizeHgt//2-1
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self.centerOffsetWidth = self.searchSizeWidth+self.skipSizeWidth//2-1
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elif self.mode == 'exterior':
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numWinDown = self.numWinDown
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numWinAcross = self.numWinAcross
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lat = self.lat
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lon = self.lon
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inc = self.inc
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azi = self.azi
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print(numWinDown)
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print(numWinAcross)
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cut_vx = np.zeros(shape=(numWinDown,numWinAcross))
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cut_vy = np.zeros(shape=(numWinDown,numWinAcross))
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cut_v = np.zeros(shape=(numWinDown,numWinAcross))
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pixel = np.zeros(shape=(numWinDown,numWinAcross))
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line = np.zeros(shape=(numWinDown,numWinAcross))
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for iwin in range(numWinDown):
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if self.mode == 'interior':
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print('Processing line: ',iwin)
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down = self.margin + self.skipSizeHgt * iwin + self.centerOffsetHgt
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off = down*self.XSize
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# Warning: depend on the ENVI format. This is for BSQ
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off2 = self.YSize * self.XSize + down*self.XSize
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start = self.margin + self.centerOffsetWidth
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end = self.margin + self.skipSizeWidth * numWinAcross
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latline = np.memmap(filename=self.latfile,dtype='float64',offset=8*off,shape=(self.XSize))
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lonline = np.memmap(filename=self.lonfile,dtype='float64',offset=8*off,shape=(self.XSize))
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incline = np.memmap(filename=self.losfile,dtype='float32',offset=4*off,shape=(self.XSize))
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aziline = np.memmap(filename=self.losfile,dtype='float32',offset=4*off2,shape=(self.XSize))
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lat[iwin,:] = latline[start:end:self.skipSizeWidth]
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lon[iwin,:] = lonline[start:end:self.skipSizeWidth]
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inc[iwin,:] = incline[start:end:self.skipSizeWidth]
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azi[iwin,:] = aziline[start:end:self.skipSizeWidth]
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#print(iwin,': ',lon[iwin,:])
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#print(iwin,': ',lat[iwin,:])
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#print(iwin,': ',inc[iwin,:])
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#print(iwin,': ',azi[iwin,:])
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#### Look up in MEaSUREs InSAR-Based Antarctica Ice Velocity Map
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xyMap = pyproj.transform(self.llhProj, self.vProj, lon[iwin,:], lat[iwin,:])
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#xyMap = self.vProj(lon[iwin,:],lat[iwin,:])
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pixel[iwin,:] = np.clip((xyMap[0]-self.x0[0])/900, 0, self.vx.shape[1]-1)
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line[iwin,:] = np.clip((xyMap[1]-self.y0[0])/900, 0, self.vx.shape[0]-1)
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pixel_int = pixel[iwin,:].astype(int)
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line_int = line[iwin,:].astype(int)
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# For Debug
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#print(iwin,': ', 'location: ', xyMap[0],xyMap[1])
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#print(iwin,': ', 'location: ', lon[iwin,:],lat[iwin,:])
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cut_vx[iwin,:] = self.vx[line_int,pixel_int]
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cut_vy[iwin,:] = self.vy[line_int,pixel_int]
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cut_v[iwin,:] = np.sqrt(np.multiply(cut_vx[iwin,:],cut_vx[iwin,:]),np.multiply(cut_vy[iwin,:],cut_vy[iwin,:]))
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## Interpolate offsetfield
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# Mask out invalid value based on the value of lat (or lon) (only work for polar region)
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# Mask out zero velocity
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print('Interpolating velocity field...')
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valid = np.logical_and(lat!=0,cut_v!=0)
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x0=np.arange(numWinAcross)
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y0=np.arange(numWinDown)
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xx,yy=np.meshgrid(x0,y0)
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grid_x,grid_y=[grid.ravel() for grid in np.meshgrid(x0,y0)]
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points = np.column_stack((xx[valid],yy[valid]))
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print(points.shape)
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in_dat = cut_vx[valid]
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cut_vx_new = griddata(points, in_dat, (grid_x, grid_y), method='linear')
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in_dat = cut_vy[valid]
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cut_vy_new = griddata(points, in_dat, (grid_x, grid_y), method='linear')
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cut_vx_new = cut_vx_new.reshape(numWinDown,numWinAcross)
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cut_vy_new = cut_vy_new.reshape(numWinDown,numWinAcross)
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# mask out invalid values at margin
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cut_vx_new[lat==0] = np.nan
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cut_vy_new[lat==0] = np.nan
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cut_v_new = np.sqrt(np.multiply(cut_vx_new,cut_vx_new),np.multiply(cut_vy_new,cut_vy_new))
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print(cut_v_new)
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print(cut_v_new.shape)
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##########
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#fig=plt.figure(10,figsize=(10,10))
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#ax = fig.add_subplot(111)
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#print(cut_v.shape)
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#ax.imshow(np.clip(cut_v_new,0,1000),cmap=plt.cm.viridis)
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#fig.savefig('10.png',format='png')
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### Step 3: Convert XY velocity to EN velocity (clockwise rotation)
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print('Coverting XY to EN...')
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lonr = np.radians(lon - refPt[0])
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cut_ve = np.multiply(cut_vx_new, np.cos(lonr)) - np.multiply(cut_vy_new, np.sin(lonr))
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cut_vn = np.multiply(cut_vy_new, np.cos(lonr)) + np.multiply(cut_vx_new, np.sin(lonr))
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print('Polar stereographic velocity: ', [cut_vx, cut_vy])
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print('Local ENU velocity: ', [cut_ve, cut_vn])
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####Step 4: Convert EN velocity to rng and azimuth
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#Local los and azi vector in ENU coordinate
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print(' Coverting EN to rdr...')
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incr = np.radians(inc)
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azir = np.radians(azi)
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losr = np.radians(azi-90.0)
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losenu=[ np.multiply(np.sin(incr),np.cos(losr)),
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np.multiply(np.sin(incr),np.sin(losr)),
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-np.cos(incr) ]
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azienu=[ np.cos(azir),
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np.sin(azir),
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0.0 ]
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grossRangeOffset = (self.bTemp/365.25) * (cut_ve * losenu[0] + cut_vn * losenu[1])/ rngPixelSize
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grossAzimuthOffset = (self.bTemp/365.25) * (cut_ve * azienu[0] + cut_vn * azienu[1]) / azPixelSize
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print('Gross azimuth offset: ', grossAzimuthOffset)
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print('Gross range offset: ', grossRangeOffset)
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# Float
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fig=plt.figure(21,figsize=(16,9))
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#ax = fig.add_subplot(121)
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ax = fig.add_axes([0.05,0.05,0.4,0.9])
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ax.set_title('gross azimuth offset',fontsize=15)
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print(grossRangeOffset.shape)
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cax = ax.imshow(grossAzimuthOffset,cmap=plt.cm.coolwarm)
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cbar = fig.colorbar(cax,fraction=0.035,pad=0.04,ticks=np.arange(np.rint(np.nanmin(grossAzimuthOffset)),np.rint(np.nanmax(grossAzimuthOffset))+0.1))
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cbar.set_label("pixel",fontsize=15)
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#ax = fig.add_subplot(122)
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ax = fig.add_axes([0.55,0.05,0.4,0.9])
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ax.set_title('gross range offset',fontsize=15)
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print(grossRangeOffset.shape)
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cax = ax.imshow(grossRangeOffset,cmap=plt.cm.coolwarm)
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cbar = fig.colorbar(cax,fraction=0.035,pad=0.04,ticks=np.arange(np.rint(np.nanmin(grossRangeOffset)),np.rint(np.nanmax(grossRangeOffset))+0.1))
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cbar.set_label("pixel",fontsize=15)
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#fig.subplots_adjust(left=0.1, right=0.9, top=0.9, bottom=0.1)
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#fig.tight_layout()
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fig.savefig('21.png',format='png')
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## Round to integer
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fig=plt.figure(22,figsize=(16,9))
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#ax = fig.add_subplot(121)
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ax = fig.add_axes([0.05,0.05,0.4,0.9])
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ax.set_title('gross azimuth offset',fontsize=15)
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print(grossRangeOffset.shape)
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cax = ax.imshow(np.rint(grossAzimuthOffset),cmap=plt.cm.coolwarm)
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cbar = fig.colorbar(cax,fraction=0.035,pad=0.04,ticks=np.arange(np.rint(np.nanmin(grossAzimuthOffset)),np.rint(np.nanmax(grossAzimuthOffset))+0.1))
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cbar.set_label("pixel",fontsize=15)
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#ax = fig.add_subplot(122)
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ax = fig.add_axes([0.55,0.05,0.4,0.9])
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ax.set_title('gross range offset',fontsize=15)
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print(grossRangeOffset.shape)
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cax = ax.imshow(np.rint(grossRangeOffset),cmap=plt.cm.coolwarm)
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print("Before plotting the gross offsets (min and max): ", np.rint(np.nanmin(grossAzimuthOffset)),np.rint(np.nanmax(grossAzimuthOffset)))
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cbar = fig.colorbar(cax,fraction=0.035,pad=0.04,ticks=np.arange(np.rint(np.nanmin(grossRangeOffset)),np.rint(np.nanmax(grossRangeOffset))+0.1))
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cbar.set_label("pixel",fontsize=15)
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#fig.subplots_adjust(left=0.1, right=0.9, top=0.9, bottom=0.1)
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#fig.tight_layout()
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fig.savefig('22.png',format='png')
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return grossAzimuthOffset, grossRangeOffset
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def main():
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grossObj = grossOffsets()
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grossObj.runGrossOffsets()
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if __name__=='__main__':
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main()
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