Ellen Gomes

B.Sc. International Forest Ecosystem Management

M.Sc. Forest Information Technology

See my work Portrait of Ellen Gomes

Work

Understanding how different ecosystems interact and translating this information from raw data to geospatial visualization is fascinating. The importance of environmental analyses for current and future research in nature conservation is my motivation. To reach a project's goals I use tools such as ArcGIS, QGIS, Python, R, Jupyter Notebook and more. Here are some project outcomes (click an image to see it in full size):

LiDAR sun exposure simulation on roofs in Warsaw

Which Roofs Are Best for Solar Panels?

Using a LiDAR point cloud, sun exposure was simulated over 24 hours. The roofs that receive the most hours of light are the best candidates for installing solar panels.

Data: Geoportal Poland, Warsaw (private project) · Tools: ArcGIS, CloudCompare

Map of CO2 emissions from forest fires in northern Brazil

CO₂ Emissions from Forest Fires in Brazil

How much CO₂ did forest fires release in Brazil in 2018, and where? This map shows the emissions in the northern region, revealing where fires had the biggest climate impact.

Data: Global Forest Watch (GFW) · Tools: Python, NumPy, Pandas,Jupyter Notebook, Folium

Drone photogrammetry map of a forest regeneration area in Poland

Counting Young Trees from the Air

Photogrammetry from DJI Phantom 4 drone images of a forest regeneration area. The result supports counting the newly planted nursery trees.

Private project, Poland · Tools: Pix4D, ArcGIS

Map of Ibirapuera Park with location, scale and 3D views

Ibirapuera Park Map Project

Map generated based on Google Map image. Goal was to create a map for walkers to navate trought the park. This map combines coordinates and distance scale. The 3D view was creaded based on the 2D map.

Data: Google Maps, Google Earth · Tools: ArcGIS

NDVI map of a university campus from drone images, Thailand

Finding the Cool Spots on Campus

Drone photogrammetry and NDVI analysis of a university campus, comparing green areas with non-vegetated surfaces. The goal is to identify cooling areas and heat zones across the campus.

Private project, Thailand · Tools: DJI Phantom 4, DJI flight planning, Pix4D

Analysis mask built in Google Earth Engine

What Is Around? Custom Analysis Masks

How do you find out what is around an area? By building an analysis mask from exactly the information you want to know, the result shows only what matters.

Data and tools: Google Earth Engine

Terrain elevation prediction grid created in R

Modelling Terrain Change with R

How can the elevation or terrain of an area change? A prediction grid in R helps to understand and visualize how the area changes.

Private project · Tools: R with multiple packages

GPS tracks of wolves around a nature reserve and a city

Tracking Wolves Around a Nature Reserve

How do wolves move around a nature reserve? GPS tracks carried by some of the animals show where they spend most of their time. The nature reserve is shown in red and the city in blue.

Data: Movebank · Tools: Python, NumPy, Pandas, Jupyter Notebook, Folium

Image composite and mosaic in Google Earth Engine

Image Compositing and Mosaicking

How do different images come together? Same projection? Different days or years? An example of image compositing and mosaicking in Google Earth Engine.

Data: open data in Google Earth Engine · Tools: Google Earth Engine, Google Maps

LiDAR point cloud of city trees near buildings, visualized in R

Where Are the Trees? LiDAR for Urban Tree Safety

A LiDAR point cloud visualized in R to measure the distance between trees and nearby buildings in the city, supporting safety assessments of tree condition.

Data: Geoportal Poland · Tools: CloudCompare, R (lidR package)