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Sajad Sayadi

@sajadsayadi.bsky.social

48 followers 150 following 12 posts

M.Sc. Graduate, KNT University Photogrammetry | Remote Sensing Remote Sensing → Environmental Monitoring, Forest Ecology, Wildfire Photogrammetry → Bundle Adjustment, UAV, Canopy Cover #RemoteSensing #Photogrammetry #UAV #Drone #DeepLearning #GIS

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Sajad Sayadi @sajadsayadi.bsky.social · 2d

Comparison of Global Shutter (full sensor exposure) vs. Rolling Shutter (sequential line-by-line exposure).

#Photogrammetry #Imaging #Shutter #UAVphotogrammetry
#3DModeling #RemoteSensing #CameraTech

Sajad Sayadi @sajadsayadi.bsky.social · 2d

No matter what camera you use to capture images, you need to understand how rolling shutter and global shutter work and what sets them apart.

#Photogrammetry #Imaging #Shutter #UAVphotogrammetry
#3DModeling #RemoteSensing #CameraTech

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Sajad Sayadi @sajadsayadi.bsky.social · 15d

Great read. I map vegetation & wildfire in semi-arid mountains with RS/UAV. I’m testing co-produced maps with local NGOs—what NSW format (workshop, field dialogue, media brief) scaled best after the event?

Reposted by Sajad Sayadi

3DForEcoTech @3dforecotech.bsky.social · Nov 27

More than 20k individual 3D trees are now gathered in one place to benchmark deep-learning models to classify tree species.

Amazing initiative led by @stefanopuliti!
The data and codes are open, and a preprint is ready! 👏

@3DForEcoTech data calls: https://t.co/Tf5m1eZ7Ub https://t.co/qSBI3bhMlC

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Sajad Sayadi @sajadsayadi.bsky.social · 16d

This is wonderful!
I’m also working on a fire risk project, and once I have results, I’d be happy to share them with you.

Sajad Sayadi @sajadsayadi.bsky.social · 16d

Hello, good luck!
I’m also working on a fire risk project, and once I have results, I’d be happy to share some of them with you.

Sajad Sayadi @sajadsayadi.bsky.social · 16d

Its really nice

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Sajad Sayadi @sajadsayadi.bsky.social · 16d

Agree with you...

Sajad Sayadi @sajadsayadi.bsky.social · 17d

Looking for something better than NDVI as a vegetation index?
Follow the flowchart below.

#RemoteSensing #Vegetationindex #NDVI #EVI #Sentinel2 #Workflow

See more details here👉 doi.org/10.1109/Metr...

Flowchart for moving beyond NDVI: Sentinel-2 multispectral data feeds two paths: (a) Generation of NDVI; (b) Calculate EVI coefficients with PSO → Classification with EVI. In parallel, Google Earth imagery → Manual classification (veg/non-veg).

Sajad Sayadi @sajadsayadi.bsky.social · 20d

Fantastic work and what a view! It's always great to see meteorological data collection in action. This is precisely the kind of valuable data that helps us understand, analyze, and act on weather conditions.

Sajad Sayadi @sajadsayadi.bsky.social · 20d

I'm glad you found the research interesting. I'd love to hear your thoughts, or the thoughts of others in this field. Do you have any experience with scene-specific tuning of EVI parameters?

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Sajad Sayadi @sajadsayadi.bsky.social · 20d

We conducted a binary visual comparison of EVI vegetation maps (traditional vs optimized) over a semi-arid mountain site.

#RemoteSensing #EVI #SemiArid #VegetationIndex #Optimization #Binarymap

See more details here👇 doi.org/10.1109/Metr...

Red: vegetation by tuned EVI but non-vegetation by traditional EVI; Blue: the opposite

Sajad Sayadi @sajadsayadi.bsky.social · 22d

‪Sajad Sayadi‬
Classic NDVI can be fuzzy over bright soils and sparse canopies. We re-parameterized EVI with PSO for semi-arid mountains on Sentinel-2.
Have you tried scene-specific EVI tuning?

#RemoteSensing #EVI #Vegetation #Indexes #PSO #Sentinel2

See more details here👇 doi.org/10.1109/Metr...

NDVI (left) vs PSO-tuned EVI (right) in semi-arid mountains; the optimized EVI produced a wider vegetation value range, higher variance, and mapped more vegetation pixels than NDVI and the conventional EVI.