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sajadsayadi.bsky.social
Sajad Sayadi
@sajadsayadi.bsky.social
33 followers 130 following 10 posts
M.Sc. Graduate, KNTU Photogrammetry | Remote Sensing Remote Sensing → Environmental Monitoring, Vegetation Dynamics, Forest Ecology, Wildfire Photogrammetry → Bundle Adjustment, UAV, Canopy Cover #RemoteSensing #Photogrammetry #UAV #DeepLearning #GIS
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sajadsayadi.bsky.social
Sajad Sayadi @sajadsayadi.bsky.social · 16d
‪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.
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sajadsayadi.bsky.social
Sajad Sayadi @sajadsayadi.bsky.social · 9d
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?
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Reposted by Sajad Sayadi
3dforecotech.bsky.social
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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sajadsayadi.bsky.social
Sajad Sayadi @sajadsayadi.bsky.social · 9d
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.
sajadsayadi.bsky.social
Sajad Sayadi @sajadsayadi.bsky.social · 10d
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.
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sajadsayadi.bsky.social
Sajad Sayadi @sajadsayadi.bsky.social · 10d
Its really nice
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sajadsayadi.bsky.social
Sajad Sayadi @sajadsayadi.bsky.social · 10d
Agree with you...
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sajadsayadi.bsky.social
Sajad Sayadi @sajadsayadi.bsky.social · 11d
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).
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sajadsayadi.bsky.social
Sajad Sayadi @sajadsayadi.bsky.social · 13d
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.
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sajadsayadi.bsky.social
Sajad Sayadi @sajadsayadi.bsky.social · 13d
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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sajadsayadi.bsky.social
Sajad Sayadi @sajadsayadi.bsky.social · 14d
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
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sajadsayadi.bsky.social
Sajad Sayadi @sajadsayadi.bsky.social · 16d
‪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.
5