support LAT/LON_REF1/2/3/4 in UTM coordinates

.circleci/config.yml

@@ -61,13 +61,19 @@ jobs:
             ${MINTPY_HOME}/tests/smallbaselineApp.py --dir ${HOME}/data --dset SanFranSenDT42
 
       - run:
-          name: Integration Test 3/4 - WellsEnvD2T399 (Gamma)
+          name: Integration Test 3/5 - RidgecrestSenDT71 (HyP3)
+          command: |
+            mkdir -p ${HOME}/data
+            ${MINTPY_HOME}/tests/smallbaselineApp.py --dir ${HOME}/data --dset RidgecrestSenDT71
+
+      - run:
+          name: Integration Test 4/5 - WellsEnvD2T399 (Gamma)
           command: |
             mkdir -p ${HOME}/data
             ${MINTPY_HOME}/tests/smallbaselineApp.py --dir ${HOME}/data --dset WellsEnvD2T399
 
       - run:
-          name: Integration Test 4/4 - WCapeSenAT29 (SNAP)
+          name: Integration Test 5/5 - WCapeSenAT29 (SNAP)
           command: |
             mkdir -p ${HOME}/data
             ${MINTPY_HOME}/tests/smallbaselineApp.py --dir ${HOME}/data --dset WCapeSenAT29

docs/api/attributes.md

@@ -9,7 +9,7 @@ If using ROI_PAC as the InSAR processor, both **baseline parameter RSC** file (i
 +  X/Y_FIRST = (for geocoded product) Longitude/easting/X and latitude/northing/Y coordinate in degrees/meters of the upper left corner of the first pixel.
 +  X/Y_STEP = (for geocoded product) Ground resolution in degrees/meters in X/Y direction.
 +  X/Y_UNIT = (for geocoded product) Coordinate unit in X/Y direction: degrees or meters.
-+  LAT/LON_REF1/2/3/4 = Latitude/longitude at corner 1/2/3/4 (degree), used in save_unavco, PyAPS (DEM file in radar coord), not accurate; number named in order of first line near/far range, last line near/far range.
++  LAT/LON_REF1/2/3/4 = Latitude/northing and longitude/easting at corner 1/2/3/4 (in degrees or meters), used in save_unavco, PyAPS (DEM file in radar coord), not accurate; number named in order of first line near/far range, last line near/far range.
 +  WAVELENGTH = Radar wavelength in meters.
 +  RANGE_PIXEL_SIZE = Slant range pixel size (search for pixel_ratio to convert to ground size, in m), used in dem_error, incidence_angle, multilook, transect.
 +  EARTH_RADIUS = Best fitting spheroid radius in meters, used in dem_error, incidence_angle, convert2mat.
@@ -30,7 +30,7 @@ The following attributes vary for each interferogram:
 
 +  ANTENNA_SIDE = -1 for right looking radar, used in save_unavco
 +  AZIMUTH_PIXEL_SIZE = Azimuth pixel size at orbital altitude (multiply by Re/(Re+h) for ground size (m), where Re is the local earth radius), used in baseline_error/trop and multilook.
-+  HEADING = Spacecraft heading at peg point (degree), measured from the north with clock-wise as positive, used in asc_desc
++  HEADING = Spacecraft heading at peg point (degrees), measured from the north with clock-wise as positive, used in asc_desc
 +  PRF = Pulse repetition frequency (Hz), used in save_unavco
 
 ### Self-generated attributes ###
@@ -47,7 +47,8 @@ The following attributes vary for each interferogram:
 +  NO_DATA_VALUE = No data value, value that should be ignored.
 +  UNIT = data unit, i.e. m, m/yr, radian, and 1 for file without unit, such as coherence [[source]](https://github.com/insarlab/MintPy/blob/main/src/mintpy/objects/stack.py#L75)
 +  REF_DATE = reference date
-+  REF_X/Y/LAT/LON = column/row/latitude/longitude of reference point
++  REF_X/Y = column/row of the reference point
++  REF_LAT/LON = latitude/northing and longitude/easting of the reference point (in degrees or meters)
 +  SUBSET_XMIN/XMAX/YMIN/YMAX = start/end column/row number of subset in the original coverage
 +  MODIFICATION_TIME = dataset modification time, exists in ifgramStack.h5 file for 3D dataset, used for "--update" option of unwrap error corrections.
 +  NCORRLOOKS = number of independent looks, as explained in [SNAPHU](https://web.stanford.edu/group/radar/softwareandlinks/sw/snaphu/snaphu.conf.full)

src/mintpy/prep_hyp3.py

@@ -67,10 +67,6 @@ def add_hyp3_metadata(fname, meta, is_ifg=True):
     S = N + float(meta['Y_STEP']) * int(meta['LENGTH'])
     E = W + float(meta['X_STEP']) * int(meta['WIDTH'])
 
-    # convert UTM to lat/lon
-    N, W = ut.utm2latlon(meta, W, N)
-    S, E = ut.utm2latlon(meta, E, S)
-
     if meta['ORBIT_DIRECTION'] == 'ASCENDING':
         meta['LAT_REF1'] = str(S)
         meta['LAT_REF2'] = str(S)
@@ -110,6 +106,11 @@ def add_hyp3_metadata(fname, meta, is_ifg=True):
         meta['P_BASELINE_TOP_HDR'] = hyp3_meta['Baseline']
         meta['P_BASELINE_BOTTOM_HDR'] = hyp3_meta['Baseline']
 
+    # HDF-EOS5 metadata
+    if hyp3_meta['ReferenceGranule'].startswith('S1'):
+        meta['beam_mode'] = 'IW'
+    meta['unwrap_method'] = hyp3_meta['Unwrappingtype']
+
     return(meta)
 
 

src/mintpy/save_hdfeos5.py

@@ -115,20 +115,24 @@ def metadata_mintpy2unavco(meta_in, dateList, geom_file):
     unavco_meta['last_date'] = dt.datetime.strptime(dateList[-1], '%Y%m%d').isoformat()[0:10]
 
     # footprint
-    lons = [meta['LON_REF1'],
-            meta['LON_REF3'],
-            meta['LON_REF4'],
-            meta['LON_REF2'],
-            meta['LON_REF1']]
-
-    lats = [meta['LAT_REF1'],
-            meta['LAT_REF3'],
-            meta['LAT_REF4'],
-            meta['LAT_REF2'],
-            meta['LAT_REF1']]
+    lons = [float(meta['LON_REF1']),
+            float(meta['LON_REF3']),
+            float(meta['LON_REF4']),
+            float(meta['LON_REF2']),
+            float(meta['LON_REF1'])]
+
+    lats = [float(meta['LAT_REF1']),
+            float(meta['LAT_REF3']),
+            float(meta['LAT_REF4']),
+            float(meta['LAT_REF2']),
+            float(meta['LAT_REF1'])]
+
+    # convert UTM to lat/lon
+    if not meta_in.get('Y_UNIT', 'degrees').lower().startswith('deg'):
+        lats, lons = ut.utm2latlon(meta_in, easting=lons, northing=lats)
 
     unavco_meta['scene_footprint'] = "POLYGON((" + ",".join(
-        [lon+' '+lat for lon, lat in zip(lons, lats)]) + "))"
+        [f'{lon} {lat}' for lon, lat in zip(lons, lats)]) + "))"
 
     unavco_meta['history'] = dt.datetime.utcnow().isoformat()[0:10]
 
@@ -239,6 +243,10 @@ def get_output_filename(metadata, suffix=None, update_mode=False, subset_mode=Fa
         lat0 = lat1 + float(metadata['Y_STEP']) * int(metadata['LENGTH'])
         lon1 = lon0 + float(metadata['X_STEP']) * int(metadata['WIDTH'])
 
+        # convert UTM to lat/lon
+        if not metadata.get('Y_UNIT', 'degrees').lower().startswith('deg'):
+            [lat0, lat1], [lon0, lon1] = ut.utm2latlon(metadata, easting=[lon0, lon1], northing=[lat0, lat1])
+
         lat0Str = f'N{round(lat0*1e3):05d}'
         lat1Str = f'N{round(lat1*1e3):05d}'
         lon0Str = f'E{round(lon0*1e3):06d}'

src/mintpy/tropo_pyaps3.py

@@ -275,10 +275,8 @@ def get_bounding_box(meta, geom_file=None):
         lat1 = lat0 + lat_step * (length - 1)
         lon1 = lon0 + lon_step * (width - 1)
 
-        # 'Y_FIRST' not in 'degree'
-        # e.g. meters for UTM projection from ASF HyP3
-        y_unit = meta.get('Y_UNIT', 'degrees').lower()
-        if not y_unit.startswith('deg'):
+        # for UTM projection, e.g. ASF HyP3
+        if not meta.get('Y_UNIT', 'degrees').lower().startswith('deg'):
             lat0, lon0 = ut.utm2latlon(meta, easting=lon0, northing=lat0)
             lat1, lon1 = ut.utm2latlon(meta, easting=lon1, northing=lat1)
 
@@ -300,8 +298,12 @@ def get_bounding_box(meta, geom_file=None):
             lon1 = np.nanmax(lons)
 
         else:
+            # use the rough (not accurate) lat/lon info of the four corners
             lats = [float(meta[f'LAT_REF{i}']) for i in [1,2,3,4]]
             lons = [float(meta[f'LON_REF{i}']) for i in [1,2,3,4]]
+            # for UTM projection, e.g. ASF HyP3
+            if not meta.get('Y_UNIT', 'degrees').lower().startswith('deg'):
+                lats, lons = ut.utm2latlon(meta, easting=lons, northing=lats)
             lat0 = np.mean(lats[0:2])
             lat1 = np.mean(lats[2:4])
             lon0 = np.mean(lons[0:3:2])

src/mintpy/utils/utils0.py

@@ -345,10 +345,10 @@ def utm2latlon(meta, easting, northing):
 
     Parameters: meta     - dict, mintpy attributes that includes:
                            UTM_ZONE
-                easting  - scalar or 1/2D np.ndarray, UTM    coordinates in x direction
-                northing - scalar or 1/2D np.ndarray, UTM    coordinates in y direction
-    Returns:    lat      - scalar or 1/2D np.ndarray, WGS 84 coordinates in y direction
-                lon      - scalar or 1/2D np.ndarray, WGS 84 coordinates in x direction
+                easting  - scalar/list/tuple/1-2D np.ndarray, UTM    coordinates in x direction
+                northing - scalar/list/tuple/1-2D np.ndarray, UTM    coordinates in y direction
+    Returns:    lat      - scalar/list/tuple/1-2D np.ndarray, WGS 84 coordinates in y direction
+                lon      - scalar/list/tuple/1-2D np.ndarray, WGS 84 coordinates in x direction
     """
     import utm
     zone_num = int(meta['UTM_ZONE'][:-1])
@@ -357,20 +357,33 @@ def utm2latlon(meta, easting, northing):
     # which can be common for large area analysis, e.g. the Norwegian mapping authority
     # publishes a height data in UTM zone 33 coordinates for the whole country, even though
     # most of it is technically outside zone 33.
-    lat, lon = utm.to_latlon(easting, northing, zone_num, northern=northern, strict=False)
+    lat, lon = utm.to_latlon(np.array(easting), np.array(northing), zone_num,
+                             northern=northern, strict=False)
+
+    # output format
+    if any(isinstance(x, (list, tuple)) for x in [easting, northing]):
+        lat = lat.tolist()
+        lon = lon.tolist()
+
     return lat, lon
 
 
 def latlon2utm(lat, lon):
     """Convert latitude/longitude in degrees to UTM easting/northing in meters.
 
-    Parameters: lat      - scalar or 1/2D np.ndarray, WGS 84 coordinates in y direction
-                lon      - scalar or 1/2D np.ndarray, WGS 84 coordinates in x direction
-    Returns:    easting  - scalar or 1/2D np.ndarray, UTM    coordinates in x direction
-                northing - scalar or 1/2D np.ndarray, UTM    coordinates in y direction
+    Parameters: lat      - scalar/list/tuple/1-2D np.ndarray, WGS 84 coordinates in y direction
+                lon      - scalar/list/tuple/1-2D np.ndarray, WGS 84 coordinates in x direction
+    Returns:    easting  - scalar/list/tuple/1-2D np.ndarray, UTM    coordinates in x direction
+                northing - scalar/list/tuple/1-2D np.ndarray, UTM    coordinates in y direction
     """
     import utm
-    easting, northing = utm.from_latlon(lat, lon)[:2]
+    easting, northing = utm.from_latlon(np.array(lat), np.array(lon))[:2]
+
+    # output format
+    if any(isinstance(x, (list, tuple)) for x in [lat, lon]):
+        easting = easting.tolist()
+        northing = northing.tolist()
+
     return northing, easting
 
 

tests/configs/RidgecrestSenDT71.txt

@@ -19,4 +19,9 @@ mintpy.troposphericDelay.method     = pyaps
 mintpy.topographicResidual          = yes
 mintpy.topographicResidual.stepFuncDate         = 20190706T0320
 mintpy.topographicResidual.pixelwiseGeometry    = no
+mintpy.save.hdfEos5         = yes
+mintpy.save.hdfEos5.subset  = yes
 mintpy.plot.maxMemory       = 2
+
+##————————————————————————————— HDF-EOS5 Attributes -—————————————————————————##
+relative_orbit      = 71