I’ve been writting a lot recently about STAC, COG and Python. These are some of my recent posts: COG and Landsat in QGIS COG and Landsat with Python STAC, COG, Python and QGIS Smiley Face, STAC and COG I am very much aware that the majority of work with Earth Observation data is still within… Read More »Building virtual rasters from STAC
This is a light hearted post which hopefully you find fun. Let’s take a png of a (hand drawn!) smiley face and hide it in Satellite images that I have streamed as a Cloud Optimized Geotiff and found via a SpatioTemporal Asset Catalog (STAC). We are going to be using this 2kb png and hiding… Read More »Smiley Face, STAC and Cloud Optimised Geotiffs
Alastair and I reviewed the year on the #scenefromabove podcast, you can listen to it below. Jump to the 12minute mark if you want to listen instead. This is my attempt at capturing 2020 in 3minutes. Start your clocks! Here comes 2020, (a Shapefile is more than one file). Earth Observation 2.0, the Analytical Earth… Read More »2020 in 3mins
I don’t think I have come across a GitHub repo any code while looking for more resources to add for awesome-eo-code that is related to evaluating training data for Satellite imagery. I have often wondered how someone new to the industry could make their mark. In a sector that has focused a great deal of… Read More »Training data and Satellite data
Plotting raster data can be done in a few lines of code with Matplotlib. Adding a colour bar (color bar) associated to your data can be as simple as plt.colorbar() for example: This is a nice quick way of displaying a scale for your data. I’ve often wanted to plot discrete (and not continuous) colour… Read More »Colour bar for discrete rasters with Matplotlib
During lockdown in April and May 2020, the #scenefromabove podcast held a series of lunchtime networking chats with people all over the world. Alastair wrote about them here. We weren’t sure how they were going to go, but they introduced some really interesting ideas and themes. Two really stayed with me. From our first chat… Read More »awesome-earthobservation-code
This is the firstly EO quarterly news of 2020. I try and use these posts to record what happen in the general sphere of Earth Observation / Geospatial across each quarter. If you want a more regular news please check out the #scenefromabove podcast which gets a new episode approximately once every 3 weeks. If… Read More »Earth Observation Q1 2020 review
Last time I wrote about how Cloud Optimized Geotiffs (COGs) are a great way to save you from having to download data and that they can be be easily streamed into QGIS (3.4 and later). If you would like to read that post it is available here. This time though I want to look in… Read More »Using Cloud Optimized Geotiff part 2 – Python
The Cloud Optimized Geotiff (COG). Is it helping you to stop unnecessarily downloading data? It should. One of the biggest Earth Observation ‘things’ in 2019 was that USGS is delivering Landsat 8 as COGs (that have a SpatioTemoral Asset Catalog – STAC as well) But old practices die hard and sometimes, despite the knowledge of… Read More »Using Cloud Optimized Geotiff part 1
I spent a large chunk of 2019 working on a project looking at measuring Natural Capital using Earth Observation. I thought I would share some thoughts on this interesting topic. First off, a definition: Natural capital can be defined as the world’s stocks of natural assets which include geology, soil, air, water and all living… Read More »Natural Capital and Earth Observation
Another quarter has flown by. So welcome to EO news Q3 2019! If you are interested in the major EO related events in Q1 and Q2 2019, please visit the links below: Earth Observation Q1 2019 review Q3 2019 Launches Have small sats reached maturity? Analysis | Are smallsats entering the maturity stage?… Read More »Earth Observation Q3 2019 review
I started writing these reviews two years ago, really to get a feel of the pace of change in Earth Observation / Geospatial today. If you are interested in the major EO related events in Q1 2019 please visit the link below: Earth Observation Q1 2019 review Q2 2019 Launches Asia continues to be a… Read More »Earth Observation Q2 2019 review
I’ve written about Sentinel-5P several times in the past. You can check these posts out below: Why is Sentinel-5P important? Sentinel-5P and Python The Sentinel-5P and Python post is an outline on how to read in a Sentinel-5P netcdf file and plot it. The notebook (code) is available here. I wanted to expand on this… Read More »Sentinel-5P and xarray
There are so many ways to download Sentinel 2 data. I am not going to list them all here, but most involve an interaction with a website that contains a map. This is fine for many users. Sometimes though it is preferable to access via the command line or a script and again there are… Read More »sentinelsat – using Python to search and download Sentinel 2 data
I started writing these reviews two years ago, really to get a feel of the pace of change in Earth Observation / Geospatial today. If you are interested in the major EO related events in 2017 and 2018, please go to the links below: Earth Observation Q4 2018 review and Q4 2017 Earth Observation Q1… Read More »Earth Observation Q1 2019 review