Anton Biatov

Biodiversity | Nature Conservation | GIS | Remote sensing | WebGIS | Data science | Spatial distribution modelling | Python | R | Indie hacking

[Anton Biatov @GisNaturalist]

Solar feasibility in Portugal is often based on simplified assumptions.
Orientation ≠ real performance.
Trees, slope and hourly shading matter more than most proposals admit.

I’m building something to fix that ↓

[Anton Biatov @GisNaturalist]

In the article I cover:

- PDAL pipeline structure
- running pipelines from Python
- returning results as NumPy arrays
- clipping and merging point clouds
- creating a GeoTIFF DEM from a LAZ file

[Anton Biatov @GisNaturalist]

I published a practical guide to PDAL pipelines in Python for point cloud workflows.

Examples include clipping, merging, NumPy export, and DEM generation from LAZ

Curious what tools others use for point cloud processing in production or research.

https://t.co/yAamBQ8AwV

#gis

[Anton Biatov @GisNaturalist]

@won__sikkk Now that I’ve looked into outreach, I realize I made my first email way too complicated—I sent a demo report right in the first message. My current theory is that you shouldn’t include so much information in the first email.

[Anton Biatov @GisNaturalist]

Quick update:
- created a list of 80 potential clients
- started sending emails, sent over 30
- received one response - a request for pricing
- LinkedIn posts about technologies and products
- adding people from target companies as friends.

#SolarPower

[Anton Biatov @GisNaturalist]

@nuel_flow Thanks!

[Anton Biatov @GisNaturalist]

@won__sikkk I created an email template and customized each email slightly—changing the recipient's name and adding a call to action at the end of the email

[Anton Biatov @GisNaturalist]

@DanielKoren96 💯

[Anton Biatov @GisNaturalist]

How I launched my startup, Sun Potential 3D, using GIS and AI.

I started by listing every bit of my experience — work, volunteering, hobbies — and fed it into ChatGPT. I asked for 30 startup ideas with high potential. One of them became the core of Sun Potential 3D. ☀️

[Anton Biatov @GisNaturalist]

@DanielKoren96 The only thing left to do is to make sure that this is really necessary and find clients 😅

[Anton Biatov @GisNaturalist]

@yyatsiuk Very interesting and unexpected video!

[Anton Biatov @GisNaturalist]

This is a way to accurately assess solar energy potential before visiting a specific site.

- Less guesswork.
- Fewer unnecessary visits to unpromising sites.
- More engineering solutions.
- More realistic expectations.

I don't know how large-scale this will be.

Stay tuned.

[Anton Biatov @GisNaturalist]

I've been working in ecology and conservation for over 20 years.

And I've thought a lot about solar potential, which is often perceived as an abstraction.

But it's physics. Geometry. Shadows. Radiation intensity.

It can be measured.

More below ↓

#Solar #EnergyTransition

[Anton Biatov @GisNaturalist]

I always knew spatial data could change industries.

Across Europe, high-quality LiDAR datasets became open.

But open data without practical tools remains abstract.

LiDAR point clouds, DSM, irradiance models —
these are not just datasets.

I decided to build Sun Potential 3D

[Anton Biatov @GisNaturalist]

No hype.
Just disciplined iteration and solar geometry.

If you’re into solar, GIS or energy transition — welcome.

#SolarEnergy #RenewableEnergy

[Anton Biatov @GisNaturalist]

Solar feasibility in Portugal is often based on simplified assumptions.
Orientation ≠ real performance.
Trees, slope and hourly shading matter more than most proposals admit.

I’m building something to fix that ↓

[Anton Biatov @GisNaturalist]

I’m building this solo and sharing the process in public.

Expect:
– Real Portuguese roof case studies
– Data breakdowns
– Workflow details
– Pricing experiments
– Lessons from building a niche energy product

#BuildInPublic #SolarEnergy

[Anton Biatov @GisNaturalist]

Zonal Statistics in #Python + #EarthEngine: multi-raster template; unified reducer (mean/median/std/var/min/max, 1 pass); GeoDataFrame (#geopandas); export GPKG/CSV + Drive; maps: relief/NDVI/soil temp. Code 1:1+Colab.
https://t.co/m5bDxQvSa8

#GIS #Geospatial #ZonalStatistics