add i.satskred

src/imagery/i.satskred/Makefile

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+MODULE_TOPDIR = ../../
+
+PGM = i.satskred
+
+include $(MODULE_TOPDIR)/include/Make/Script.make
+
+default: script $(TEST_DST)

src/imagery/i.satskred/i.satskred.html

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+<h2>DESCRIPTION</h2>
+
+<em>i.satkred</em> runs avalanche detection from Sentinel-1 imagery using the
+<a href=https://github.com/NVE/satskred_dev>satskred</a> library. Main <b>input</b> is a directory
+containing a tme series of Sentinel-1 GRD imagery. In addition, a Digital Elevation Model (DEM)
+is required in the <b>elevation</b> option.
+
+<p>
+<em>i.satkred</em> creates configuration files for satskred, initializes the area to process and
+executes the satskred command line utility to run avalance detection. All results (geocoded Sentinel-1
+images, RGB-change images, shape files of detected avalanches) are stored in the <b>output_directory</b>.
+
+<p>
+Further required input are a directory containing runout masks given in the <b>mask_directory</b> option,
+together with mask settings like <b>mask_suffix</b>, describing the suffix used for files with runout masks,
+a comma separated list of category values in the masks to exclude from avalanche detection given in the
+<b>mask_exclude</b> option and finally the minimum valid category value in the mask files <b>mask_min_valid</b>
+(values >= mask_min_valid are incuded in avalanche detection). Default settings for the mask options are
+chosen to match current settings for satskred production at NVE.
+
+<p>
+The user can choose to process only a specific time span defined by the <b>start</b> and <b>stop</b> option.
+The extent to process is taken from the computational region (set with <em>g.region</em>), and relevant
+images in the <b>input</b> directory are selected according to the user-provided spatial and temporal
+extent to process.
+
+<h2>NOTES</h2>
+Currently, the module expects the input Digital Elevation Model to be in UTM 33N Coordinate
+Reference System, and all output is generated in that CRS (EPSG:25833) as well.
+
+<h2>EXAMPLES</h2>
+
+<div class="code"><pre>
+i.satskred input="./Sentinel_1_raw" elevation="./dtm20m.tif" mask_directory="./runoutmasks/" \
+  start="2019-11-24" end="2020-06-06" output_directory="./satskred_results"
+</pre></div>
+
+<h2>REQUIREMENTS</h2>
+<em>i.satskred</em> uses the following non-standard Python libraries:
+<ul>
+  <li>The non-open <em>satskred</em> Python library</li>
+  <li>The proprietary <em>GDAR</em> Python library developed by NORCE (coming with own dependencies)</li>
+  <li>Python bindings for <a href="https://pypi.org/project/GDAL/">GDAL</a></li>
+</ul>
+
+
+<h2>AUTHOR</h2>
+
+Stefan Blumentrath

src/imagery/i.satskred/i.satskred.py

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+#!/usr/bin/env python3
+
+"""
+ MODULE:       i.satskred
+ AUTHOR(S):    Stefan Blumentrath
+ PURPOSE:      Run avalanche detection from Sentinel-1 imagery using satskred
+ COPYRIGHT:    (C) 2023 by Stefan Blumentrath
+
+  This program is free software; you can redistribute it and/or modify
+  it under the terms of the GNU General Public License as published by
+  the Free Software Foundation; either version 2 of the License, or
+  (at your option) any later version.
+
+  This program is distributed in the hope that it will be useful,
+  but WITHOUT ANY WARRANTY; without even the implied warranty of
+  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+  GNU General Public License for more details.
+
+ ToDo:
+ - unclear parallelization (ask NORCE)
+ - Handle CRS (don't hard-code, may require adjustment in satskred code)
+ - allow only geocoding
+ - support zipped S1 archives
+
+ time satskred init \
+  --config /hdata/SatSkredTestArea/.satskredconf.json \
+  --woodpecker-config /hdata/SatSkredTestArea/.woodpeckerconf.json \
+  --avaldet-config /hdata/SatSkredTestArea/.avaldet.json \
+  --projname UTM33N \
+  /hdata/SatSkredTestArea/lavangsdalen \
+  660179.462 7718470.946 671390.957 7705610.702
+
+time satskred run \
+  --config /hdata/SatSkredTestArea/.satskredconf.json \
+  --woodpecker-config /hdata/SatSkredTestArea/.woodpeckerconf.json \
+  --avaldet-config /hdata/SatSkredTestArea/.avaldet.json \
+  --logfile /tmp/satskred.log --loglevel 20 \
+  /hdata/SatSkredTestArea/lavangsdalen
+
+"""
+
+# %module
+# % description: Run avalanche detection from Sentinel-1 imagery using satskred
+# % keyword: raster
+# % keyword: imagery
+# % keyword: copernicus
+# % keyword: sentinel
+# % keyword: satellite
+# % keyword: radar
+# % keyword: satskred
+# % keyword: avalanche
+# % keyword: snow
+# %end
+
+# %option G_OPT_M_DIR
+# %key: input
+# % description: Input directory with Sentinel-1 imagery
+# %end
+
+# %option
+# %key: elevation
+# % type: string
+# % required: yes
+# % multiple: no
+# % description: Digital elevation model to use for geocoding (either a path to a GeoTiff or a linked raster map)
+# %end
+
+# %option G_OPT_M_DIR
+# % key: output_directory
+# % required: no
+# % answer: ./
+# % description: Name for output directory where satskred results are stored (default: ./)
+# % label: Directory where satskred results are stored
+# %end
+
+# %option G_OPT_M_DIR
+# % key: mask_directory
+# % required: yes
+# % description: Name for output directory where masks for avalanche detection are stored
+# % label: Directory where masks for avalanche detection are stored
+# %end
+
+# %option
+# % key: mask_suffix
+# % type: string
+# % required: no
+# % answer: tif
+# % description: Name for output directory where masks for avalanche detection are stored
+# % label: Directory where masks for avalanche detection are stored
+# %end
+
+# %option
+# % key: mask_exclude
+# % type: integer
+# % required: yes
+# % multiple: yes
+# % description: Comma separated list of category values in mask to exclude from avalanche detection
+# %end
+
+# %option
+# % key: mask_min_valid
+# % type: integer
+# % required: yes
+# % multiple: no
+# % description: Minimum valid category value in mask (values >= mask_min_valid are incuded in avalanche detection)
+# %end
+
+# %option
+# % key: start
+# % type: string
+# % required: no
+# % description: Name for output directory where masks for avalanche detection are stored
+# % label: Directory where masks for avalanche detection are stored
+# %end
+
+# %option
+# % key: end
+# % type: string
+# % required: no
+# % description: Name for output directory where masks for avalanche detection are stored
+# % label: Directory where masks for avalanche detection are stored
+# %end
+
+
+import json
+import shutil
+import sys
+
+from datetime import datetime
+from multiprocessing import Pool
+from pathlib import Path
+from subprocess import PIPE
+
+import grass.script as gs
+
+
+# Configuration
+def write_config(
+    directory=Path("./"),
+    logfile="satskred.log",
+    loglevel=20,
+    sar="/hdata/SatSkredTestArea/S1/*.SAFE",
+    reporting="./",
+    dem=None,
+    reference_height="geoid",
+    masks=None,
+    mask_name=None,
+    mask_hard=True,
+    mask_excluded_values=[0, 3],
+):
+    config = {
+        "satskredconf": directory / ".satskredconf.json",
+        "woodpeckerconf": directory / ".woodpeckerconf.json",
+        "avaldetconf": directory / ".avaldetconf.json",
+    }
+
+    python_bin = shutil.which("python") or shutil.which("python3")
+    if not python_bin:
+        gs.fatal(_("python / python3 not found on PATH"))
+
+    # Write satskred configuration
+    config["satskredconf"].write_text(
+        json.dumps(
+            {
+                "python": python_bin,
+                "condaenv": "",
+                "processor": "woodpecker",
+                "logfile": logfile,
+                "loglevel": loglevel,
+                "projectdir": "",
+                "datadir": "",
+                "node": "",
+                "data_sources": {
+                    "sar": {"source_spec": {"type": "dir", "source": sar}},
+                    "reporting": {"source_spec": {"type": "dir", "source": reporting}},
+                    "dem": {
+                        "source_spec": {"type": "dir", "source": dem},
+                        "reference_height": reference_height,
+                    },
+                    "masks": [
+                        {
+                            "source_spec": {
+                                "type": "dir",
+                                "source": masks,
+                            },
+                            "name": mask_name,
+                            "hard": mask_hard,
+                            "excluded_values": mask_excluded_values,
+                        }
+                    ],
+                },
+            },
+            indent=2,
+        )
+    )
+
+    # Write woodpecker configuration
+    config["woodpeckerconf"].write_text(
+        json.dumps(
+            {
+                "geocode": 1,
+                "output_rgb_tif": 1,
+                "output_rgb_jpg": 1,
+                "output_detection_tif": 1,
+                "output_detection_shp": 1,
+                "output_aggregation": 0,
+                "dask": {"enabled": False, "client_kwargs": {"n_workers": 10}},
+            },
+            indent=2,
+        )
+    )
+
+    # Write avaldet configuration
+    config["avaldetconf"].write_text(
+        json.dumps(
+            {
+                "edgefr": 0.3,
+                "anomthr": 4,
+                "classchfr": 0.5,
+                "min_size": 15,
+                "max_size": 400,
+                "min_backscatter": -40,
+                "min_valid_mask_pixels": 50,
+                "min_edge_segment_fraction": 0.001,
+                "dog_std_0": 1,
+                "dog_std_1": 18,
+                "n_slices": 10,
+                "block_size": [1500, 1500],
+                "border_size": [200, 200],
+            },
+            indent=2,
+        )
+    )
+
+    return config
+
+
+def main():
+    """Do the main work"""
+
+    # Check if satskred is available
+    if not shutil.which("satskred"):
+        gs.fatal(_("satskred commandline tool not found on current PATH"))
+
+    dem = options[
+        "elevation"
+    ]  # "/hdata/SatSkredTestArea/dtm/DTM10_20200629_Lavangsdalen.tif"
+
+    output_directory = Path(options["output_directory"])
+    input_directory = Path(options["input"])
+
+    if not input_directory.exists():
+        gs.fatal(_("Input directoy {} not found").format(str(input_directory)))
+    mask_directory = Path(options["mask_directory"])
+
+    if not mask_directory.exists():
+        gs.fatal(
+            _("Directoy {} with runout masks not found").format(str(mask_directory))
+        )
+
+    temp_dir = Path(gs.tempdir())
+    log_level = 20
+    log_file = str(
+        temp_dir / f"i_satskred_{datetime.now().strftime('%Y%m%d%H%M%S')}.log"
+    )
+
+    satskred_config = write_config(
+        directory=temp_dir,
+        logfile=log_file,
+        loglevel=log_level,
+        sar=str(input_directory / "*.zip")
+        if flags["z"]
+        else str(input_directory / "*.SAFE"),
+        reporting=str(temp_dir),
+        dem=dem,
+        reference_height="geoid",
+        masks=str(mask_directory / f"*.{options['mask_suffix']}"),
+        mask_name="runoutmask",
+        mask_hard=True,
+        mask_excluded_values=[0, 3],
+    )
+
+    region = gs.parse_command("g.region", flags="ug")
+    west, north, east, south = region["w"], region["n"], region["e"], region["s"]
+
+    config_list = [
+        "--config",
+        satskred_config["satskredconf"],
+        "--woodpecker-config",
+        satskred_config["woodpeckerconf"],
+        "--avaldet-config",
+        satskred_config["avaldetconf"],
+    ]
+    region_list = list(map(str, [west, north, east, south]))
+
+    if not output_directory.exists():
+        gs.info(_("Initializing input region {}").format(output_directory.name))
+        satskred_command = ["satskred", "init"] + config_list
+        gs.call(
+            ["satskred", "init"]
+            + config_list
+            + ["--projname", "UTM33N", str(output_directory)]
+            + region_list
+        )
+
+    satskred_command = ["satskred", "run"] + config_list
+    if options["start"]:
+        satskred_command.extend(["--starttime", options["start"]])
+    if options["end"]:
+        satskred_command.extend(["--stoptime", options["end"]])
+    satskred_command.extend(
+        ["--logfile", log_file, "--loglevel", str(log_level), str(output_directory)]
+    )
+    gs.call(satskred_command)
+
+
+if __name__ == "__main__":
+    options, flags = gs.parser()
+    # lazy imports
+    from grass.pygrass.modules.interface import Module
+
+    try:
+        from osgeo import gdal, ogr, osr
+    except ImportError:
+        gs.fatal(
+            _(
+                "Can not import GDAL python bindings. Please install it with 'pip install GDAL==${GDAL_VERSION}'"
+            )
+        )
+
+    sys.exit(main())