This Chrome extension logs the web services used by mapping applications and allows users to copy and paste them into QGIS or ArcGIS Pro.
Its still a work in progress ...
ICYMI: The second NASA ICESat-2 data training webinar, "Laser Altimetry Applications for a Changing World: Working with ICESat-2 Land and Vegetation Height Data" is available for viewing online.
Watch it here: go.nasa.gov/3QmR3k7@NASA_Ice#NASA#EarthData
😬Almost 40% of glaciers in Central Europe were lost between 2000 and 2023.
A new study, using data from various satellite🛰️observations -including @esa_cryosat mission- reveals alarming insights about the declining rate of glaciers.
Read the full study🔗 esa.int/Applications/Observi…
Submit your presentation proposal for #CesiumDevCon!
- Advancing 3D geospatial
- Infrastructure & AECO
- Aerospace, national security, & critical infrastructure
- Gaming and simulation
- Climate and sustainability
- Openness
Submissions due February 21: hubs.li/Q034pxM30
We are excited to host the 3rd Machine Learning for Remote Sensing workshop 🛰️ at #ICLR2025 in Singapore!
📄 Submit your 4-page research papers or Tiny Papers by February 3 (<3 weeks away)!
See the website for submission details and other info: ml-for-rs.github.io/iclr2025…
Taylor Geospatial Engine just published a blog post I wrote about a demo we put together to show the potential of using a custom LLM interface to explore interoperable field boundary data. Check it out at: tgengine.org/exploring-field…
Registration is still open: NASA Earth data training webinar Wed. 1/29, 2PM EST (-05:00 UTC).
Topic: Learn how to work with TROPICS, MERRA-2, and LDAS datasets to investigate the record-setting Hurricane Milton. #GESDISC
To register: go.nasa.gov/3E1vjag
Just published our latest blog on Geospatial Foundation Models - powerful tools that are making satellite imagery more accessible and actionable.
We share our learnings on how these models can accelerate your geospatial applications, from rapid similarity search to streamlined change detection.
Practical insights and implementation guidance:
🛰️ds.io/geofm
“We used to say 80 percent of a data scientist’s job is data cleaning. I feel like that’s gone up to 90 plus percent.”
– @dpatil how much of your data science job is cleaning up messy data ... (in my experience 90+ percent feels right)