Scott Staniewicz scottstanie

## export_to_qgis.py
#!/usr/bin/env python3
# /// script
# dependencies = ["geopandas", "rioxarray", "tyro", "opera_utils"]
# ///

"""Create a GeoParquet file from multi-date InSAR displacement GeoTIFFs.

Optionally mask by similarity and coherence thresholds.

Example CLI usage (with tyro):

## validate_pysolid_conversion.py
#!/usr/bin/env python3
"""
Validation script to compare Python and Fortran implementations
of solid earth tide calculations across different times and locations.
"""

import datetime as dt
import numpy as np
import pandas as pd
from pathlib import Path

## midas.py
"""Python conversion of MIDAS velocity calculation.


Original code: http://geodesy.unr.edu/MIDAS_release.tar
Original author: Geoff Blewitt.  Copyright (C) 2015.

When using these velocities in publications please cite:

Blewitt, G., C. Kreemer, W.C. Hammond, and J. Gazeaux (2016). MIDAS robust trend
estimator for accurate GPS station velocities without step detection, Journal

## disp-s1-frame-temporal-gaps.ipynb

      
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                scottstanie
                / disp-s1-frame-temporal-gaps.ipynb
            
            
              Created
              October 21, 2024 21:58
            
              
                Plot the maximum gap in time of DISP-S1 frames
              
          
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## download_coherence_mosaics.sh
for item in COH12 COH24 COH36 rho tau; do
    s5cmd --numworkers 10 --no-sign-request cp "s3://sentinel-1-global-coherence-earthbigdata/data/mosaics/*vv*${item}*" .
done

## view-changelog.sh
git tag --list | sort --version-sort | xargs -n1 gh release view

## tau-uklg.py
import requests
import re
import random
from rich.console import Console
from rich.panel import Panel
from rich.text import Text

url = "https://raw.githubusercontent.com/nrrb/tao-te-ching/master/Ursula%20K%20Le%20Guin.md"

def get_random_chapter():

## app.py
from starlette import responses
from titiler.core.algorithm import algorithms as default_algorithms
from titiler.core.errors import DEFAULT_STATUS_CODES, add_exception_handlers
from titiler.core.factory import TilerFactory
from fastapi import FastAPI

from .titiler_algorithms import Phase


app = FastAPI(title="Bowser")

## boi.py
from os import fspath
import numpy as np
from osgeo import gdal
from dolphin import io, stitching, utils


def compute_boi(ifg_file1: str, ifg_file2: str, looks: tuple[int, int] = (1, 1)) -> np.ndarray:
    assert io.get_raster_crs(ifg_file1) == io.get_raster_crs(ifg_file2)
    (left, bottom, right, top), nodata = stitching.get_combined_bounds_nodata(
        ifg_file1, ifg_file2

## demo_cache_locality.py
#!/usr/bin/env python3
from numba import njit


@njit
def f(arr):
    s = 0
    i = 0
    while i < len(arr):
        s += arr[i]
	#!/usr/bin/env python3
	# /// script
	# dependencies = ["geopandas", "rioxarray", "tyro", "opera_utils"]
	# ///

	"""Create a GeoParquet file from multi-date InSAR displacement GeoTIFFs.

	Optionally mask by similarity and coherence thresholds.

	Example CLI usage (with tyro):
	#!/usr/bin/env python3
	"""
	Validation script to compare Python and Fortran implementations
	of solid earth tide calculations across different times and locations.
	"""

	import datetime as dt
	import numpy as np
	import pandas as pd
	from pathlib import Path
	"""Python conversion of MIDAS velocity calculation.


	Original code: http://geodesy.unr.edu/MIDAS_release.tar
	Original author: Geoff Blewitt. Copyright (C) 2015.

	When using these velocities in publications please cite:

	Blewitt, G., C. Kreemer, W.C. Hammond, and J. Gazeaux (2016). MIDAS robust trend
	estimator for accurate GPS station velocities without step detection, Journal
	for item in COH12 COH24 COH36 rho tau; do
	s5cmd --numworkers 10 --no-sign-request cp "s3://sentinel-1-global-coherence-earthbigdata/data/mosaics/vv${item}*" .
	done
	import requests
	import re
	import random
	from rich.console import Console
	from rich.panel import Panel
	from rich.text import Text

	url = "https://raw.githubusercontent.com/nrrb/tao-te-ching/master/Ursula%20K%20Le%20Guin.md"

	def get_random_chapter():
	from starlette import responses
	from titiler.core.algorithm import algorithms as default_algorithms
	from titiler.core.errors import DEFAULT_STATUS_CODES, add_exception_handlers
	from titiler.core.factory import TilerFactory
	from fastapi import FastAPI

	from .titiler_algorithms import Phase


	app = FastAPI(title="Bowser")
	from os import fspath
	import numpy as np
	from osgeo import gdal
	from dolphin import io, stitching, utils


	def compute_boi(ifg_file1: str, ifg_file2: str, looks: tuple[int, int] = (1, 1)) -> np.ndarray:
	assert io.get_raster_crs(ifg_file1) == io.get_raster_crs(ifg_file2)
	(left, bottom, right, top), nodata = stitching.get_combined_bounds_nodata(
	ifg_file1, ifg_file2
	#!/usr/bin/env python3
	from numba import njit


	@njit
	def f(arr):
	s = 0
	i = 0
	while i < len(arr):
	s += arr[i]