Behzad Valipour Sh.

Welcome to our newest member of the team Dr Behzad Valipour Shokouhi @ShValipour👋 Behzad has just completed his PhD in Environmental epidemiology @SwissTPH @UniBasel_en 🔬He is joining the team as our new Geographic Information System (GIS) Data Scientist for @MAGENTA_proj_uk

🤧High levels of #Pollen trigger seasonal allergies & possibly respiratory & cardiovascular health events. A new model by @SwissTPH estimates daily pollen exposure in #Switzerland, enabling future research. @ShValipour @MEeftens @meteoschweiz 👉 bit.ly/3PEHZWP

🆕We are hiring a #PhD student in #epidemiology. Excellent opportunity to collect experiences in all aspects of complex #environmental epidemiological research including field work, exposure assessment, data analysis. Join our team😊 👇 jobs.swisstph.ch/Vacancies/897/…

GeoPandas 0.13 is out! This new version comes with a couple of new features like a method to sample random points, sorting along a Hilbert curve or better support of GeoJSON specification. See more in the 🧵 below 👇 (or above 👆).

🌍Ready to learn about the latest Machine Learning techniques for #RemoteSensing? Join our tutorials at #igarss2023!🚀 🗓️Four sessions covering ML fundamentals, explainable AI, and more. Don't miss out! 👉More information here: bit.ly/igarss2023tuto #IEEE #GRSS

@neutin_kwazi @evelynuuemaa @LGeoinformatics Congratulations!

@evelynuuemaa @LGeoinformatics Congratulations!

Super lucky to finally receive a 1 million euro team grant for 5 years from Estonian Research Agency🥳 @LGeoinformatics continues research in #geospatial #bigdata #NBS #water #ML However, the road to success was quite rocky and I had to endure several failures. A thread 🧵👇

Early morning presentation in @sciCORE_Basel breakfast on how #artificialintelligence can be used to help people with #pollen #allergies, and how we can use #parallelprogramming for time-saving, and also decrease #carbonfootprint #airpollution #publichealth #GIS #machinelearning

I started to implement my #deeplearning skills in #remotesensing datasets which are available in #kaggle. 🛰️ 💻 At first, I implemented image classification to classify patches with or without #windturbine #data #geospatialintelligence #DeepLearning link.medium.com/Jj7owAu1bsb

This is an important stepping stone for the Geo-Data Science community 🎉🎉🎉 Boosting geopandas with Dask makes analysis at planetary scale not only possible but on very mainstream hardware. Big spatial data for the masses!!!

We introduce TorchGeo, a Python library for integrating geospatial data into the PyTorch deep learning PsyNetecosystem. 📄 arxiv.org/abs/2111.08872…

Guess where is this country? October was busy with generating 10m #sentinel2 data for #Estonia for both summer & spring using @sentinel_hub Batch API #remotesensing #geospatial #GIS #dataengineering 🛰️💻😀💪

As a practice used #sentinel2 imagery to train #xgboost model for #imageclassification and predict out_of_sample data. Overall accuracy was 90% #geospatialdata #satelliteimagery #datascience #machinelearning #remotesensing

@sentinel_hub Great news 🎉

🔴 #SentinelHub now offers the Lee speckle filter for your use! Window sizes up to 7x7 are supported. See our forum post for details! ➡️ forum.sentinel-hub.com/t/sentinel-1-s… Visit our docs for more on how to use it! ➡️ #speckle-filtering" target="_blank" rel="nofollow noopener">docs.sentinel-hub.com/api/latest/dat… 👇Lee filtered data with a window size of 5x5.

Today, we're thrilled to accept nominations and proposals for the Microsoft Research PhD Fellowship across Asia-Pacific, Canada and the United States, EMEA, and Latin America. Program details vary by region. Review your region's tab for info and key dates: aka.ms/phd-fellowship

Difference between COG and GeoTIFF basically (but not only) is, that COG uses internal index. To speedup work (e.g. in @QGIS) with raster data, use gdaladdo script to create overviews. GeoTIFF will store overviews internally. gdal.org/programs/gdala…

📣The @opengeohub Summer School 2021 goes online! Join us for free live presentations & workshops by leading #R, #OSGeo, and #R-Spatial developers! Deadline for registration: 15 July - no registration fees! Register here: bit.ly/3gm5EuL 🌐 #ifgi #opendata #opensource

The full programme of the GEO Virtual Symposium 2021 is now available online. From Climate to Health to Urban topics, join us to learn about & share successful practices across the @GEOSEC2025 work programme. 📌21-24 June 2021 #EO4Inclusion #EO4Impact earthobservations.org/symposium2021.…

5 courses in Coursera to become a Machine Learning engineer: 1. Machine Learning 2. Deep Learning Specialization 3. TensorFlow Developer Professional Certificate 4. TensorFlow: Advanced Techniques 5. Introduction to Machine Learning In Production Take them in that order.

Machine learning pipeline: 1. Project scoping 2. Data definition 3. Data preparation 4. Model training 5. Error analysis 6. Deployment 7. Monitoring 8. Maintenance If you are an aspiring Machine Learning Engineer, this is a good blueprint to guide your learning.

Discover high-quality, open geospatial training data from @Stanford @GFDRR @Spacenet_AI @Microsoft @BigEarthERC & more on #RadiantMLHub. Download an entire archived training dataset with a single click & start building your #MachineLearning applications: registry.mlhub.earth