tsview: bugfix for cartopy feature (#767)

+ tsview.py: bugfix for cartopy feature while initializing projection

+ timeseries2velocity.read_inps2model(): add print_msg

+ objects/sensor.SEN: fix antenna and PRF parameters

+ smallbaselineApp.py:_read_template(): align the print out "copy for backup" msg

mintpy/objects/sensor.py

@@ -297,14 +297,15 @@ def get_unavco_mission_name(meta_dict):
 # azfact = azResolution / azPixelSize = 1.46
 # rgfact = rgResolution / rgPixelSize = 1.33
 # reference:
-#   1. Table 2 and Fig. 5d in Jung et al. (2014)
-#   2. Table 7-5 in https://sentinel.esa.int/documents/247904/1877131/Sentinel-1-Product-Definition
+#   1. Table 2 & Fig. 5d in Jung et al. (2014)
+#   2. Table 3-1 & 7-5 in https://sentinel.esa.int/documents/247904/1877131/Sentinel-1-Product-Definition
 SEN = {
     'carrier_frequency'          : 5.405e9,   # Hz
     'altitude'                   : 705e3,     # m, mean value
-    'antenna_length'             : 45.0,      # m
+    'antenna_length'             : 12.3,      # m
+    'antenna_width'              : 0.82,      # m
     'doppler_bandwidth'          : 380,       # Hz
-    'pulse_repetition_frequency' : 522,       # Hz
+    'pulse_repetition_frequency' : 1717.13,   # Hz, based on real data; 1000-3000 (programmable)
     'chirp_bandwidth'            : 56.50e6,   # Hz
     'sampling_frequency'         : 64.35e6,   # Hz
     'azimuth_pixel_size'         : 14.1,      # m

mintpy/smallbaselineApp.py

@@ -294,6 +294,10 @@ def _read_template(self):
             self.templateFile = ut.update_template_file(self.templateFile, self.customTemplate)
 
         # 2) backup custome/default template file in inputs/pic folder
+        flen = len(os.path.basename(self.templateFile))
+        if self.customTemplateFile:
+            flen = max(flen, len(os.path.basename(self.customTemplateFile)))
+
         for backup_dirname in ['inputs', 'pic']:
             backup_dir = os.path.join(self.workDir, backup_dirname)
             # create directory
@@ -306,8 +310,9 @@ def _read_template(self):
                                              check_readable=False,
                                              print_msg=False) == 'run':
                     shutil.copy2(tfile, backup_dir)
-                    print('copy {} to {:<8} directory for backup.'.format(os.path.basename(tfile),
-                                                                          os.path.basename(backup_dir)))
+                    print('copy {f:<{l}} to {d:<8} directory for backup.'.format(f=os.path.basename(tfile),
+                                                                                 l=flen,
+                                                                                 d=os.path.basename(backup_dir)))
 
         # 3) read default template file
         print('read default template file:', self.templateFile)

mintpy/timeseries2velocity.py

@@ -373,7 +373,7 @@ def read_date_info(inps):
     return inps
 
 
-def read_inps2model(inps, date_list=None):
+def read_inps2model(inps, date_list=None, print_msg=True):
     """get model info from inps"""
     # check model date limits
     if not date_list:
@@ -408,9 +408,10 @@ def read_inps2model(inps, date_list=None):
     model['log']        = inps.logDict
 
     # msg
-    print('estimate deformation model with the following assumed time functions:')
-    for key, value in model.items():
-        print('    {:<10} : {}'.format(key, value))
+    if print_msg:
+        print('estimate deformation model with the following assumed time functions:')
+        for key, value in model.items():
+            print('    {:<10} : {}'.format(key, value))
 
     if 'polynomial' not in model.keys():
         raise ValueError('linear/polynomial model is NOT included! Are you sure?!')

mintpy/tsview.py

@@ -350,7 +350,7 @@ def read_init_info(inps):
     inps.cbar_label += '[{}]'.format(inps.disp_unit_img)
 
     ## fit a suite of time func to the time series
-    inps.model, inps.num_param = ts2vel.read_inps2model(inps, date_list=inps.date_list)
+    inps.model, inps.num_param = ts2vel.read_inps2model(inps, date_list=inps.date_list, print_msg=inps.print_msg)
 
     # dense TS for plotting
     inps.date_list_fit = ptime.get_date_range(inps.date_list[0], inps.date_list[-1])
@@ -788,7 +788,7 @@ def plot(self):
                 disp_slider=True,
                 print_msg=self.print_msg)
         subplot_kw = dict(projection=self.map_proj_obj) if self.map_proj_obj is not None else {}
-        self.fig_img, self.ax_img = plt.subplots(figsize=self.figsize_img, **subplot_kw)
+        self.fig_img, self.ax_img = plt.subplots(figsize=self.figsize_img, subplot_kw=subplot_kw)
 
         # Figure 1 - Axes 1 - Displacement Map
         img_data = np.array(self.ts_data[0][self.idx, :, :])