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Guilherme M. Iablonovski
Guilherme M. Iablonovski

554 Followers

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Published in

Towards Data Science

·Jun 6, 2022

How to Download Uber’s Hexagonal Grid with Python

A short hands-on article on accessing Uber’s H3 hexagonal indexes using its python API — It’s now been four years since Uber open sourced its H3 grid. The company had initially developed the indexing system for ride optimization, but it turned out to be useful for all sorts of tasks that involve visualizing and exploring spatial data. While Uber had to come up with these…

Python

5 min read

How to Download Uber’s Hexagonal Grid with Python
How to Download Uber’s Hexagonal Grid with Python
Python

5 min read


Published in

Towards Data Science

·May 11, 2022

Looking for patterns in satellite image time series with python

A quick guide for handling time-varying imagery with open python libraries — A while ago I wrote an article here covering some of the basics of remote sensing using python. Last time we covered the basics of geopandas, rasterio and google earth engine to manipulate satellite imagery and geospatial data. This time around, we'll be expanding on the concept of calculating vegetation…

Python

6 min read

Looking for patterns in satellite image time series with python
Looking for patterns in satellite image time series with python
Python

6 min read


Published in

Towards Data Science

·Apr 9, 2022

Modeling urban heat wave risk with satellite imagery and lidar data

A method for modeling environmental risk with GIS, statistical techniques and open python libraries — Recently the World Resources Insitute office in Brazil tasked me with a consultancy under the Cities4Forests project on modeling the risk for several hazards linked to climate change such as floods, landslides and heat waves at urban scale for the municipality of Campinas, Brazil's most populous city outside of a…

Python

7 min read

Modeling urban heat wave risk with satellite imagery and lidar data
Modeling urban heat wave risk with satellite imagery and lidar data
Python

7 min read


Published in

Towards Data Science

·Feb 14, 2022

Bridging the Land-Use Gap in Carbon Inventories with Satellite Imagery

Using GIS techniques to include trees and forests in local GHG inventories — In a time when greenhouse gas (GHG) emissions are the main driver of climate change, recent IPCC reports state that removal of carbon dioxide (CO2) from the atmosphere is crucial in limiting the effects of global warming. …

Carbon Inventory

9 min read

Bridging the Land-Use Gap in Carbon Inventories with Satellite Imagery
Bridging the Land-Use Gap in Carbon Inventories with Satellite Imagery
Carbon Inventory

9 min read


Published in

Towards Data Science

·Sep 29, 2021

Running a dockerized CKAN Geospatial Open Data Portal on a Mac

A hands-on guide on how to make the best out of the world's leading OS Data Portal on OSX with docker-compose — CKAN is great. It's not only one of the most popular systems for open data portals around the globe: the plethora of plugins available and the thriving community make it a very flexible and powerful tool for different kinds of data and visualizations, including geospatial. When it comes to geospatial…

Geospatial

8 min read

Running a dockerized CKAN Geospatial Open Data Portal on a Mac
Running a dockerized CKAN Geospatial Open Data Portal on a Mac
Geospatial

8 min read


Published in

Analytics Vidhya

·Dec 17, 2020

The hitchhiker’s guide to GTFS with python

Don’t panic, it’s just public transit data — Since its release in 2004, the General Transit Feed Specification (GTFS) has revolutionized the way we work with public transit data. It defines a common format for public transportation schedules and associated geographic information. A GTFS feed is composed of a series of text files collected in a ZIP file…

Gtfs

9 min read

The hitchhiker’s guide to GTFS with python
The hitchhiker’s guide to GTFS with python
Gtfs

9 min read


Published in

Towards Data Science

·Aug 12, 2020

Automating the hunt for illegal dumpsites in Turkey with satellite imagery

Image classification with Google Earth Engine for the UN — For many years now, my experience as a GIS and remote sensing specialist has been marked by projects in the humanitarian sector: the UN, World Bank, Red Cross, WRI, Translators without Borders; you name it, I probably did some work for them. Back in 2018, when I worked for Urban…

Remote Sensing

9 min read

Automating the hunt for illegal dumpsites in Turkey with satellite imagery
Automating the hunt for illegal dumpsites in Turkey with satellite imagery
Remote Sensing

9 min read


Published in

UX Collective

·Aug 6, 2020

The place of nature in the city

A practical take on Ian McHarg's suitability analysis method. — The year of 2019 marked the 50 year anniversary of Ian McHarg's influential book, Design with Nature. I was first introduced to it back in 2013, and no book has made a deeper impression in me since. Back in 1969 when it was first published, the environmental movement was popping…

Ian Mcharg

7 min read

The place of nature in the city
The place of nature in the city
Ian Mcharg

7 min read


Published in

Towards Data Science

·Aug 3, 2020

Automating GIS and remote sensing workflows with open python libraries

A hands-on guide for implementing some of the most beloved tools in the spatial python community — Over my career I’ve worked on many geospatial related projects using the ArcGIS platform, which I absolutely love. That means I get to consult in projects with cutting-edge geospatial technologies, like Multidimensional Rasters, Deep Learning, and spatial IoT automation. With that in mind, I always try to keep track of…

Python

9 min read

Automating GIS and remote sensing workflows with open python libraries
Automating GIS and remote sensing workflows with open python libraries
Python

9 min read


Published in

Analytics Vidhya

·Jul 27, 2020

I built a geospatial ETL pipeline with python and this is what I learned

Recently I was faced with a new challenge when we at the Road Ecology Lab were asked to provide roadkill hotspots modeling for the State's Roads Company. They were looking for a tool for collecting on-site data and then visualizing it on a map. …

Etl

17 min read

I built a geospatial ETL from scratch with python and this is what I learned
I built a geospatial ETL from scratch with python and this is what I learned
Etl

17 min read

Guilherme M. Iablonovski

Guilherme M. Iablonovski

554 Followers

Geospatial Data Scientist and Developer. GIS , sustainable urban planning, environment, data science and software development. linkedin.com/in/guilhermeiablo

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