Nooshin Mashhadi

Environmental Science, Earth observation and Forest ecology.

[GEDI @GEDI_Knights]

Drum roll please... #gedih3 is officially released!🎉

gedih3 turn billions of NASA GEDI LiDAR footprints into analysis-ready spatial datasets — from the command line or Python.

Learn more here https://t.co/0wiuGR0bSl and access the source code at https://t.co/mDH76sigF1 !

[Inacio Bueno @inaciotbueno]

📢 Silva et al. present “Beyond Ice: NASA’s ICESat-2 spaceborne lidar mission for land and vegetation applications”

A must-read review highlighting how @NASAEarth ICESat-2 is transforming our ability to map Earth’s surface!

Read it here: https://t.co/10xK6HZoUu

[Nooshin Mashhadi @NooshinMashhad1]

@AmericaViews 4.100%

[GEDI @GEDI_Knights]

Version 2.0 of the #GEDI L4C Global Waveform Structural Complexity Index (WSCI) Fusion Product has been released via the @ORNLDAAC !

https://t.co/htuUpA5CO0

[Milos @milos_gis]

🌍 Ever wished QGIS could live in your browser, collaborate in real-time like Google Docs, and supercharge your geospatial workflows with Python notebooks? Meet JupyterGIS – the game-changer that's leveling up GIS for everyone!

Link in the replies 👇

[GEDI @GEDI_Knights]

Interested in ✨Spaceborne Lidar for Monitoring Vegetation Structure and Biomass using #GEDI✨?
Join the upcoming @NASAEarth ARSET training!

🌳English session: Oct. 23-Nov. 6, 2025, 11am-1pm EDT
🌳Spanish session: Oct. 23-Nov. 6, 2025, 2-4pm EDT

https://t.co/8aeFNRvqdA

[Qiusheng Wu @giswqs]

🚀 Exciting update! The GeoAI Python package is getting even smarter — soon it will support AI agents.

That means you’ll be able to use natural language to effortlessly download, analyze, and visualize geospatial data without coding 🌍🤖

Stay tuned for the upcoming release!
🔗 GitHub: https://t.co/TBxio7H3jw

#geospatial #GeoAI #Python #AI

[Google Earth @googleearth]

Introducing a new way to see our planet! 🌍 🛰️ Using Google DeepMind’s new geospatial AI model, AlphaEarth Foundations, we’re making satellite data more analysis-ready, packing a year of info into each pixel. https://t.co/bxqV7bnXkG #EarthEngine #AIforGood

[Nooshin Mashhadi @NooshinMashhad1]

@rubenvalpue @TropiDry @RalfLudwig_LMU @UAlberta Appreciate it! Thank you for all the support.

[Nooshin Mashhadi @NooshinMashhad1]

Officially defended my PhD thesis. it’s been a long journey of growth, challenges, and discovery. Grateful for everyone who supported me along the way. 🦋
Onward to the next chapter!

[Nooshin Mashhadi @NooshinMashhad1]

@TropiDry @rubenvalpue @RalfLudwig_LMU @UAlberta Thank you very much that means a lot to me.

[Nooshin Mashhadi @NooshinMashhad1]

Just published! Our latest study explores using the Lorenz-Entropy index to discriminate tropical forest types with GEDI LiDAR data. Findings revealed LE enhances accuracy in these forest types classification. https://t.co/Fbj69E8FhI. #GEDI #LiDAR #Lorenz_entropy #MachineLearning

[Nooshin Mashhadi @NooshinMashhad1]

Excited to share that my PhD research on a new entropy-based index for forest ecosystems is now published in Remote Sensing of Environment (RSE)! 🌳✨
Grateful for all the support along the way! 🙏🏻💡@TropiDry @rubenvalpue
#PhD-Research #LiDAR#Full_waveform#EntropyIndex

[Tropi-Dry @TropiDry]

Our new paper presenting a new #forest #entropy-index was published by #RSE. Here we developed the #Lorenz #Entropy-Index to study changes in forest vertical structure as a function of ecological succession using #LiDAR @rubenvalpue @NooshinMashhad1

https://t.co/9TOSD1HWjF

[NASAEarthdata @NASAEarthData]

NASA's Application for Extracting and Exploring Analysis Ready Samples (AρρEEARS) now provides a “Spectral Comparison” tab allowing visualization of point samples from the Earth Surface Mineral Dust Source Investigation (EMIT) mission. #LPDAAC
Learn more: https://t.co/BMLhcHHL08

[Faheem Ullah @Faheem_uh]

PhD Students - 8 tools to help you in your literature review.

Every PhD student needs to conduct a literature review.

A solid literature review takes at least 2-3 months. Using tools, you can reduce this time by 50%.

𝐂𝐚𝐭𝐞𝐠𝐨𝐫𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐫𝐞𝐥𝐚𝐭𝐢𝐨𝐧𝐬𝐡𝐢𝐩 𝐚𝐦𝐨𝐧𝐠 𝐩𝐚𝐩𝐞𝐫𝐬

1. @LitmapsApp

- Helps you find relevant papers from just a single paper
- Helps you to categorize the papers
- Works with your reference managers (Zotero, etc.)
- Visualize the relationship between papers.
- Share papers via reference manager.
- Get alerts about new papers to add to your literature review.

Link: https://t.co/djhByzyg7M

2. @ConnectedPapers

- Figure out the forward and backward links to a research paper.
- Quantitatively shows the relevance index of papers.
- Visualize the relations between the papers in your literature review.

Link: https://t.co/6EWn5B0Lc2

𝐅𝐢𝐧𝐝𝐢𝐧𝐠 𝐩𝐚𝐩𝐞𝐫𝐬 𝐟𝐨𝐫 𝐲𝐨𝐮𝐫 𝐥𝐢𝐭𝐞𝐫𝐚𝐭𝐮𝐫𝐞 𝐫𝐞𝐯𝐢𝐞𝐰

3. @R_Discovery

- Notifies you as soon as a relevant paper is published.
- Audio stream paper for you to listen to instead of reading.
- Translate papers automatically to your native language.
- Offers automatic integration with Zotero and Mendeley.

Link: https://t.co/1WiEBSyShJ

4. @Scite

- Shows you the most relevant papers to a seed paper.
- Determines for you whether other papers agree/disagree to a paper.
- Helps you understand the holistic work done by a lab/organization.
- Notifies you about latest papers published in your research area.

Link: https://t.co/anbwtUpw6w

𝐋𝐢𝐭𝐞𝐫𝐚𝐭𝐮𝐫𝐞 𝐑𝐞𝐯𝐢𝐞𝐰 𝐖𝐫𝐢𝐭𝐢𝐧𝐠

5. @teampaperpal

- Specifically designed for assisting in scientific writing
- Rephrase confusing sentences
- Offers real-time suggestions for smooth writing
- Simple and very easy to use

Link: https://t.co/QesC1s57yz

6. 𝐆𝐫𝐚𝐦𝐦𝐚𝐫𝐥𝐲

- Ensures your writing is polished
- Clean up tangled and hard-to-read sentences.

𝐑𝐞𝐟𝐞𝐫𝐞𝐧𝐜𝐞𝐬 𝐦𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐟𝐨𝐫 𝐲𝐨𝐮𝐫 𝐥𝐢𝐭𝐞𝐫𝐚𝐭𝐮𝐫𝐞 𝐫𝐞𝐯𝐢𝐞𝐰

𝟕. @zotero

- Offers automatic citation capture from web pages, PDFS, and other sources.
- Organize and categorize references effortlessly

𝟖. @mendeley_com

- Integrates very easily with MS word
- Enables you to collaborate and share references with research teams.

[tut_ml @tut_ml]

Best Statistics Courses- https://t.co/MsCT41z18r

@KirkDBorne
@antgrasso
@ronald_vanloon
#MachineLearning #DeepLearning #BigData #Datascience #ML #HealthTech #DataVisualization #ArtificialInteligence #SoftwareEngineering #GenAI #deeplearning #ChatGPT #OpenAI #SQL #python #AI #ML

[MIT CSAIL @MIT_CSAIL]

All major neural networks, in one chart: https://t.co/F6da67oQc4

v/The Asimov Institute

[tut_ml @tut_ml]

Best ML Courses- https://t.co/O1XTVtagHq

@KirkDBorne
@antgrasso
@ronald_vanloon
#MachineLearning #DeepLearning #BigData #Datascience #ML #HealthTech #DataVisualization #ArtificialInteligence #SoftwareEngineering #GenAI #deeplearning #ChatGPT #OpenAI #SQL #python #AI #ML #GPT

[Eyo Eyo, PhD @Eyowhite3]

How to choose the right chart for analysis:

[Laura Duncanson @lauraduncanson]

Extremely exciting news for the future of Satellite #lidar! #EDGE has been selected to the next round by @NASA! What is EDGE? Led by the amazing PI @helenafricker🧊 and Deputy PI @ArmstonJohn 🌳 this would be the natural continuity of both @GEDI_Knights and @NASA_ICESat2