TerraWatch Essentials · · 6 min read

Last Week in Earth Observation: May 30, 2023

Defence contracts, SAR satellites, global flood forecasting, greenhouse gas emissions reporting, how early warnings save lives and more!

Hey! Hope you had a nice, long weekend (Monday was a public holiday in over 50 countries).

Welcome to a new edition of ‘Last Week in Earth Observation, containing a summary of major developments in EO from last week and some thoughts on the sector that I have come to love.

This is a jam-packed edition, today we are looking at - defence contracts, SAR satellites, global flood forecasting, greenhouse gas emissions reporting, how early warnings save lives and more.


Four Curated Things

Major developments in EO from the past week


1. Contractual Stuff: Funding, Contracts and Deals 💰

Some funding news from SatelliteVu, SkyFi and Fleet Space…

And wins for Umbra, PredaSAR, Northrop Grumman, Jacobs and NUVIEW …


2. Strategic Stuff: Partnerships and Announcements 📈

Some partnerships …

And some announcements …

satellite imagery of the province of Segovia in Spain 1/3
Credit: EOS Data Analytics

3. Interesting Stuff: More News 🗞️

Some launch-related news …

In other news …


4. Click-Worthy Stuff: Check These Out 🔗

The greenest country: a dataviz to illustrate the difference in vegetation between countries, and the evolution of vegetation over time
Methodology
The degree of vegetation was estimated from the Normalized Difference Vegetation Index (NDVI), calculated from MODIS multispectral satellite images
The NDVI reflects the share of photosynthetically active red radiation absorbed by the soil (in particular by plants)
iI varies between -1 and 1 (high values indicating well-developed vegetation cover)
Credit: Benjamin Nowak (on Twitter)

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One Discussion Point

Analysis, thoughts, and insights on developments in EO


5. Where are we with the adoption of commercial EO data?

While the Gartner Hype Cycle is most suited for analysing technologies, and the Technology Adoption Curve by Geoffrey Moore is most suited for analysing the adoption of technologies, I decided to change things a little bit. I asked myself:

How would some use cases of EO fare if they were analysed through the same framework as the technology itself? More specifically, for which use cases of EO is the use of commercial EO data crucial, making it become mainstream?

I used the two following criteria to analyse and position the selected EO-driven use cases across sectors on the Hype Cycle:

From Aravind’s EO Hype Cycle 2023

Mainstream applications of EO that are, partially, or in most cases, entirely enabled by data from governmental EO satellites including air quality, disaster response, mapping and weather forecasting are likely to benefit from commercial EO data, especially when used complementarily to open data sources. It would be fair to say that these are the low-hanging fruits that commercial EO companies would hope to capture as they move through the technology hype cycle.

Climate change (an umbrella term for several applications in the figure) is accelerating the demand for EO, whether it is to complement data from public EO missions or directly enable use cases that were not possible before. I have written about this subject in detail before, but what I am excited to see is how much commercial EO will play a role in areas where governmental EO missions have been the benchmark (think emissions, weather, climate science, carbon stock takes and the like).

It is important to acknowledge that adoption of EO within some use cases is most likely going to fall into the trough of disillusionment, simply because alternative data sources (remotely sensed or otherwise) solve the problem more effectively and cost-efficiently. Wherever possible, I hope EO takes a seat in the background, and show its value on-demand.


One Podcast Episode

From the TerraWatch Space podcast


6. Translating Climate Science into Quantifiable Climate Risk Analytics

If you have wondered how we can translate all the complex science associated with climate change into useful information for financial institutions, governments, insurance firms etc., then this week’s episode might interest you. I had Dr Claire Burke on the podcast. Dr Burke is the Director of Science at Climate X, a UK-based startup building a global climate risk analytics platform to support organisations in their climate adaptation efforts.

In this episode, we talk about what Climate X does, their tech stack and how they use satellite data, how they convert scientific results into climate risk analytics, the "black-box problem" challenges in educating end-users and more.


Until next time,

Aravind.

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