#27 Weekly Remote Sensing and Geoscience news! 🛰️🌍

NASA's SWOT satellite suffers instrument shutdown; ESA added a band-dependent offset to all new imager; fully funded PhD position in spatial data science and crime; Merapi volcano eruption and more!

These are the topics of our #27 newsletter issue:

🛰 NASA's SWOT satellite suffers instrument shutdown

🛰 ESA added a band-dependent offset to all new imager

🛰 Fully funded PhD position in spatial data science and crime

🛰 Merapi volcano eruption

🛰 ESA data cube to monitor forest loss in the Amazon

If you are not a subscriber, please, consider it. You are very welcome.

---

This is a free newsletter in order to make science more accessible to all of you.

Would you like to support me? You can easily buy me a coffee (or a book) at the bottom below. :)

If you can't do it, don't worry. You are always very welcome. 💚

I wish you a good read! :)

---

NASA's SWOT satellite suffers instrument shutdown

⚠️The Surface Water and Ocean Topography (SWOT) satellite's main science instrument, called KARIN (Ka-band Radar Interferometer), "unexpectedly shut down" due to a problem with the high-power amplifier subsystem.

📰 NASA blog post: Engineers Check SWOT Science Instrument During Commissioning Activities

📰 Space post: NASA's SWOT water satellite suffers instrument shutdown in orbit

SPACE.com @SPACEdotcom

NASA's SWOT water satellite suffers instrument shutdown in orbit trib.al/TDksY43

---

ESA added a band-dependent offset to all new imager

🛰️ The Sentinel Level-1C and Level-2A data products shown here have a harmonized time series. The "harmonized" designation means that the band-dependent offset added to reflectance bands in the 04.00 processing baseline has been removed.

🛰️ The offset affects data after January 24th 2022; removing the offset puts these data in spectral alignment with pre-04.00 baseline data.

⚠️ If you are using COPERNICUS/S2 or COPERNICUS/S2_SR, it is recommended that you switch to COPERNICUS/S2_HARMONIZED and COPERNICUS/S2_SR_HARMONIZED.

📰 Google Earth Engine alert: Sentinel-2 datasets

Special thanks to Fiona Gregory who shared this information with me in order to spread it to more people in the community. Thank you so much, Fiona!

📰 Here you can access her post on LinkedIn and understand more about: Fiona Gregory's post on LinkedIn

Fiona Gregory @fionag111

This needs to be retweeted everywhere. I can confirm this makes a difference. If you make a image composite in GEE with pre and post 2022 S2_SR data and don't use the HARMONIZED collection you will have artifacts #EarthEngine

Ciprian Tomoiagă @cipri_tom

PSA: If you have an analysis on @GoogleEE #EarthEngine that uses Sentinel2 data, make sure you update to use S2_HARMONIZED collection. The processing has changed recently and this new collection ensures compatibility with older data. @giswqs

---

Fully funded PhD position in spatial data science and crime

👩🏾‍💻 The first step of the project includes identifying potential biases of the mobility dataset and exploring its representativeness in relation to recent Census data.

👩🏾‍💻 They are especially interested in developing metrics that enable detection of potential hotspots of illegal activities in residential areas and that can be operationalized by law enforcement partners.

Dr Vanessa Brum-Bastos @VanessaBBastos

If you love data, coding and are keen on learning new things: JOIN OUR RESEARCH TEAM as a PhD student in Spatial Data Science and Crime at the University of Canterbury, Christchurch – New Zealand. Details here: linkedin.com/jobs/view/3510… #AcademicTwitter #AcademicChatter

---

Merapi volcano eruption

🌋 Indonesia's Merapi volcano erupted spewing hot cloud up to seven kilometers.

🌋 The volcano located in Indonesia erupted around 12 p.m local time and a lava flow of 1.5 km was observed.

📰 Reuters news: Indonesia's Merapi volcano erupts, spews hot cloud

Iban Ameztoy @i_ameztoy

Impressive eruption of #Merapi #volcano 🌋 2023-03-12 #Indonesia | via @CarolynnePries1

---

ESA data cube to monitor forest loss in the Amazon

🌳 An ESA-led project, Sentinel-1 for Science: Amazonas, has processed billions of radar images over the entire Amazon basin and converted it into a data cube – helping detect forest loss.

🌳 The Sentinel-1 for Science: Amazonas project presents a simple and transparent approach to using Sentinel-1 satellite radar imagery to estimate forest loss.

🌳 The project uses a space-time data cube design (also known as StatCubes), where statistical information relevant to identify deforestation is extracted at each point in the radar time-series.

📰 ESA’s post: Using a data cube to monitor forest loss in the Amazon

Forest loss across the Amazon (via ESA)

---

Week's recommended reading

In this paper, they examine differences in the way these approaches use the temporal and spectral domains and compare model specifications and outputs. This review highlights previous work and applications, current limitations, ongoing challenges, and opportunities for future integration and comparison of methods and map products, and is expected to benefit both user and developer communities.

📰 Demystifying LandTrendr and CCDC temporal segmentation

📰 You can check all my recommended papers at the bottom below:

---

Thanks for reading! See you next week!

Don't forget to like it and comment.

I appreciate it and I love to hear from you.

With love,

— Rafaela Tiengo