TerraWatch Essentials · · 4 min read

Last Week in Earth Observation: April 29, 2024

Adoption Problems in Earth Observation, Global Tree Canopy Height Data and Estimating Precipitation from Space

Welcome to a new edition of ‘Last Week in Earth Observation’, containing a summary of major developments in EO from the last week and some exclusive analysis and insights from TerraWatch.


Four Curated Things

Major developments in EO from the past week


1. Contractual Stuff: Funding, Contracts and Deals 💰

Contracts


2. Strategic Stuff: Partnerships and Announcements 📈

Announcements

Partnerships


3. Interesting Stuff: More News 🗞️


4. Click-Worthy Stuff: Check These Out 🔗

A map of the world’s canopy height obtained from AI models analyzing high resolution satellite imagery.
Credit: Meta/World Resources Institute

EO Summit: Keynote Speaker Announcement

I am very excited to announce that Beth Greenaway, the Head of Earth Observations and Climate at the UK Space Agency will be joining us as a keynote speaker at EO Summit. Beth will discuss the power of EO for climate action and how the UKSA is leading the global efforts in EO.

Reserve your place now!

💸 Tip: Save €100 and book your tickets for €299 now - extended until May 5! only until April 28! 💸

One Discussion Point

Exclusive analysis and insights from TerraWatch


5. Adoption Problems in Earth Observation

This is a slide I presented in a recent keynote talk listing a few challenges in the adoption of EO across the commercial sector. They are categorised into three: Usual, Black Box and Boring.

Usual Problems include some of the most talked-about challenges in the EO sector and mostly involve EO data. The good news is that some of these are already in the process of being solved, thanks to the emergence of marketplaces and platforms that enable easier access, while newer EO satellite constellations are expected to make EO data more affordable and scalable. Reliability is still, a challenge, as not all captured data is actually available for commercial users. Usability and what that really means (aka analysis-ready data) is an ongoing discussion for which the theoretical and practical definitions may vary.

BlackBox Problems are mostly related to EO applications (products derived from EO) and their methodologies. As much as we focus on the role of EO in providing insights to solve a particular  problem, it is equally, if not more, important to be able to fully understand how the insights were derived. Whether it is through continued peer-reviewed publications, complete transparency through an open-source model or simply letting the market decide, that remains to be seen. But, discussing uncertainties and limitations of what EO can and cannot do is an inevitable requirement to gain the trust of end-users.

Boring Problems are yes, really boring. Nobody wants to talk about them. Yet, unless we solve them, EO is less likely to go mainstream. Whether it is making EO data interoperable or standardising data formats, a lot has to be figured out. Licensing is another challenge that applies to both EO data and EO applications. Whether an EO application seamlessly  integrates with existing enterprise software and how that integration is managed is yet another boring problem, which can hinder the procurement of an EO product in a large organisation.

Bottom line: It is not all about designing the sensors and launching the satellites - in fact, that might really just be the easy part.

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Scene from Space

One visual leveraging EO


6. Estimating Precipitation from Space

Southern Africa received half or less than half of their typical rainfall in early 2024, leading to food security concerns for the millions of people living in Zambia, Zimbabwe, Angola, Botswana and South Africa. The map below shows the amount of rainfall in February, as a percentage of rainfall received each year between 1980 and 2024.

Since the African continent has the lowest number of in-situ weather stations and rain gauges, satellite data plays a major role in producing rainfall maps. CHIRPS is an initiative from the USAID, NASA, and NOAA that combines satellite imagery with in-situ data to create reliable, up-to-date climate data sets.

Credit: NASA

Until next time,

Aravind

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