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A toy prototype to test the logic flow of the indicatively mapped proposal. |
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A toy script to replicate (somewhat) the functionality of the | |
[GMT Blockmedian](https://docs.generic-mapping-tools.org/latest/blockmedian.html) utility. | |
The main difference is that a grid is pre-determined, which avoided the grid edge "buffering" GMT does. |
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Documenting a potential issue when attempting to do TileDB versioning from GDAL and PDAL. | |
gdal_translate to an existng TileDB array but opening with a specific timestamp results in fail. | |
PDAL with a writers.gdal to an existing TileDB array, again with a specific timestamp results in a fail. | |
The general idea is to continually update the density grid as additional pointcloud datasets get | |
added to the centralised pointcloud. | |
The desired output can be generated by outputting independent grids, and pulling them |
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Sample code for tiledb data ingestion to be used as input into cellular density calcs. |
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This toy script was put together to assist in trawling some imagery and building a small catalog. |
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In the attached data table, you have a set of 12 differential InSAR observations ("obs" in units of millimetres) | |
for a single pixel observed over a patch of ground undergoing a periodic surface movement signal. | |
The InSAR observations are formed from 11 SAR images collected by the Sentinel-1A satellite at regular 12 day intervals. | |
First and second epochs for each InSAR observation are given in the attached table ("epoch1" and "epoch2"). | |
Write and submit some code (in the language of your choice) to re-construct the periodic ground surface movement signal | |
from the InSAR observations. | |
Answer the following questions: |
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A toy script to replicate the AWS costings summary that is done manually within Excel |
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A demo that uses Python to do a little query against a STAC catalogue. |
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Toy script for looking at average geometric accuracy of USGS Landsat Collection-1. | |
The geometric accuracy, whilst subjective, is retrieved from the metadata. | |
This example is only retrieving the CEP90 (Circular Error Probable) calculated by eugl, which itself is harvesting information | |
calculated by gverify (Tool developed by Pinkmatter). |
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# mypy | |
.mypy_cache/ | |
.dmypy.json | |
dmypy.json |
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