Projects
Website 4 Elements Link to heading
Minimal Clean Website
Description: A minimalistic, clean website designed entirely from scratch, emphasizing simplicity and ease of navigation.
Technologies Used: ReactJS, Styled Components
Role: Sole developer, responsible for both front-end design and implementation.
Key Highlights:
- Crafted a streamlined user interface with a focus on modern design principles.
- Used Styled Components for modular and reusable styles, enhancing code maintainability.
- Built with ReactJS, allowing for dynamic and efficient rendering.
Wind Trek Link to heading
Trajectory Particle Simulator
Description: A particle simulator developed using a Lagrangian algorithm to track trajectory paths, providing insights into particle dynamics and behavior.
Technologies Used: Qt Framework, C++, MySQL
Role: Lead developer, responsible for the entire UI/UX using QGraphicsView and backend integration with MySQL.
Key Highlights:
- Built a custom Qt-based interface using QGraphicsView components, enabling interactive and responsive visualization of particle trajectories.
- Implemented a Lagrangian algorithm for accurate particle tracking and simulation.
- Integrated MySQL for storing and retrieving simulation data, enhancing data persistence and analysis.
Wind Trek Link to heading
Wind Trek Link to heading
Project Description Link to heading
The goal of this project is to estimate wind trajectories (forward and backward) from any chosen point on the globe using global meteorological data.
In its initial study, Wind Trek utilized average climatological wind trajectories for two locations in Mato Grosso, Brazil: Lucas do Rio Verde and Querência. The results highlighted a fascinating finding: although these municipalities are geographically close, nearly on the same latitude and at similar distances from the Amazon rainforest, they experience significantly different agricultural conditions. This difference is due to the origin of the winds affecting each region. During critical planting and harvest months—September, October, March, and April—Lucas do Rio Verde receives moist winds from the lush Xingu Indian Reservation, supporting two crop cycles per year, while Querência experiences winds from arid, deforested areas, resulting in only one crop cycle annually.
Project Details Link to heading
Currently, the application utilizes ERA-Interim input meteorological data, a global atmospheric reanalysis dataset spanning from 1979 to the present day. This dataset is a 4-dimensional NetCDF (*.nc) file that compresses essential meteorological data such as horizontal and vertical wind speed, humidity, and temperature.
The application reads the input file and computes wind trajectories (forward or backward) based on user-specified location and date-time. Outputs include either an image displaying the mapped trajectories or a CSV file detailing trajectory time, location, and additional parameters.
Process Flow Diagram Link to heading
This diagram illustrates the Wind Trek workflow: input files in NetCDF format (*.nc) are processed through the Wind Trek application, producing outputs in PNG (image) and CSV (data table) formats.
Video Demonstration Link to heading
A brief demonstration video showing Wind Trek in action, highlighting its capabilities and output.
Screenshot Link to heading
A screenshot displaying the application interface and a sample wind trajectory output.
HAND Model Link to heading
Hydrological Numerical Terrain Descriptor
Description: The HAND (Height Above the Nearest Drainage) Model is a hydrological tool developed to generate numerical terrain descriptors, utilizing satellite imagery for terrain analysis. This model supports environmental and geographical studies by processing raster data with high precision.
Technologies Used: Qt Framework, C++, GDAL, EigenC++, MySQL
Role: Sole developer, responsible for the UI using Qt Framework and data processing with GDAL.
Key Highlights:
- Developed a custom Qt-based interface for seamless user interaction, facilitating efficient terrain analysis and data visualization.
- Utilized GDAL to manipulate raster satellite images, enabling complex terrain modeling and accurate drainage mapping.
- Integrated EigenC++ for advanced matrix operations, improving computational performance in hydrological calculations.
- Connected with MySQL for efficient storage and retrieval of processed data, supporting large datasets and streamlined data access.
HAND Model Link to heading
HAND Model Link to heading
Project Description Link to heading
The HAND (Height Above the Nearest Drainage) model is a widely used hydrological descriptor that utilizes Digital Elevation Models (DEMs) as input to provide a detailed spatial representation of soil water environments. This model has shown a strong correlation with water table depth, allowing for the classification of soil-water environments based on normalized drainage potentials and relative vertical flow paths to nearby drainages.
By integrating digital topography data with terrain modeling, the HAND model offers valuable insights into hydrology. A practical application is flood prediction, which aids in assessing potential risks to specific areas (see figure below).
HAND Model Process Overview Link to heading
A visual workflow showing terrain data collection, processing, risk prediction, and flood risk mapping.
Project Details Link to heading
This project aims to transform the original ENVI IDL script, which processes topographic images, into a streamlined GIS software using the Qt Framework. The application leverages the GDAL Geospatial Data Abstraction Library to handle georeferenced images, supporting various raster and vector formats and providing utilities for data extraction and projection conversion.
Currently, the project is a work-in-progress, focused on loading digital elevation files and converting them into a HAND descriptive model (see video demonstration below).
Video Demonstration Link to heading
A brief demonstration video showing HAND Model in action, highlighting its capabilities, file handling and output.
Remote TLE Observation Link to heading
Controlled Camera System for Capturing Transient Luminous Events
Description: A remotely controlled camera setup with pan-tilt functionality designed to capture TLEs (Transient Luminous Events). This project integrates hardware and software to create a responsive system capable of tracking and photographing atmospheric phenomena.
Technologies Used: C (PCB/Arduino), Python/PHP (Web API), Bash
Role: Developer and system integrator, handling both hardware and software components to enable remote control and image capture.
Key Highlights:
- Designed and programmed a PCB and Arduino-based system for controlling camera orientation and movement, allowing precise tracking of TLEs.
- Developed a Web API using Python and PHP to enable remote control of the camera system, allowing for real-time adjustments and monitoring.
- Used Bash scripting for automation and system maintenance tasks, enhancing operational efficiency.
Remote Observation System Link to heading
Project Description Link to heading
The goal of this project was to capture Transient Luminous Events (TLE) using a remote-controlled camera, with the ability to adjust the direction and angle of the recording device via internet commands.
Project Details Link to heading
The system centers on a desktop PC, which sends commands (azimuth and elevation angles) to a microcontroller. This microcontroller controls the pan-tilt unit to aim the camera, while also receiving data from the CCD camera and GPS antenna for time-stamping.
System Schematic Link to heading
This diagram shows the Arduino microcontroller controlling Solid State Relays (SSRs) to manage the pan-tilt axis of the camera, with terminal blocks organizing the wiring.
Pan-Tilt Unit: Enables precise camera positioning based on command inputs. Microcontroller: Manages the pan-tilt axis and supplies power to the CCD camera. Solid State Relays (SSR): Used to control the pan-tilt movement. Unlike mechanical relays, SSRs are highly durable due to their lack of moving parts. The Arduino microcontroller serves as the central control unit, chosen for its ease of use, reliability, and cost-effectiveness.
Microcontroller Casing Link to heading
A view of the Arduino microcontroller and Solid State Relays (SSRs) housed within a protective casing, organized for reliable control of the pan-tilt camera system.
Installation Link to heading
The remote observation system was installed at the SIMEPAR (Meteorological System of Paraná) site for real-time TLE observation.
The main objective of this project was to capture TLE (Transient Luminous Events)with a remote camera and also to control the direction and angle of any mounted record device through the internet.
Desktop PC, the core of the system, responsible for sending commands (azimut and elevation degrees) to the Microcontroller, receives all the CCD Camera output and GPS Antena time stamp.
The Pan-tilt unity only points the camera into the desired direction.
Microcontroller scheme to manage pan-tilt axis and camera power
Solid Stare Relays (SSR) was used to control the pan-tilt axis. SSR is an electronic switching device that switches on or off when a small external voltage is applied across its control terminals. SSR stands better than common relays because they have no mechanical parts and they are extreme durable.
To sum up, the microcontroller sends the command to the SSR, therefore controlling which axis of the pan-tilt will be moved. Also it is the power feed to the CCD Camera and pan-tilt itself.
Microcontroler inside casing.
Arduino microcontroller works as a central control unit, it is very simple to use, well documented, reliable hardware and presents the best cost-benefit against other brands.
Remote system installed in SIMEPAR (Meteorological System of Parana) site.
Contribution Link to heading
Solo Developer, Basic Electronic Technician, PCB designer and tester Institution: INPE - Institute for Space Research Date: July 2010 - Feb 2012