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Python for Geospatial work flows part 4: Updating from Python 3.6 to 3.7 with Anaconda

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18 months ago I wrote about setting up Anaconda for Python. The post is here I highly recommend using Anaconda. I have now come to a natural break in projects and I want to upgrade my version to Python 3.7 – which is the default version that Anaconda uses (3.7.7 as of the start of… Read More »Python for Geospatial work flows part 4: Updating from Python 3.6 to 3.7 with Anaconda

Earth Observation Q1 2020 review

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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

Using Cloud Optimized Geotiff part 1

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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

Natural Capital and Earth Observation

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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

Geospatial Python Course V1

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I started blogging on www.acgeospatial.co.uk in May 2016 and since then (at the time of writing in January 2020) I have gone on to write over 120 blog posts. I write loosely around the topic of Earth Observation and Satellite imagery but also more generally on Geospatial topics. GIS is my background. I am a… Read More »Geospatial Python Course V1

Earth Observation Q4 2019 review

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This is the last EO quarterly news of 2019. 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 Q4 2019 review

Earth Observation Q3 2019 review

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  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

8 tips using GeoPandas and Python for Geospatial People

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GeoPandas is great. If you are learning Geospatial Programming and work with vector data then you could do alot worse than giving GeoPandas a go. I’ve written a little about GeoPandas before; so first a couple of links. Installing a Python Geospatial work environment that includes GeoPandas: Python for Geospatial work flows part 1: Use… Read More »8 tips using GeoPandas and Python for Geospatial People

Earth Observation Q2 2019 review

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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