ESRI Dashboard / Light pollution

Sun, 01 Jan 2023 00:00:00 +0000

Description du projet

This project aims to develop an interactive dashboard using the ESRI platform to visualize and analyze environmental interest zones under pressure (gestion de l’eau , erosion, light pollution ..). Theses dashboards will integrate many detailed spatial data from plenty of data sources.

Compétences exploitées et livrables

ArcGIS Online ArcGIS Data Visualisation Data Management

Galerie d’images

ESRI Dashboard / Water management

Sat, 01 Jan 2022 00:00:00 +0000

📝 Drinking water resource monitoring project in New Caledonia

Context: As part of my role within an environmental association, I was responsible for the information systems and geomatics projects division. I was given a simple mission: to design a territorial dashboard for monitoring the drinking water resource across New Caledonia, for a public institution (DAVAR).

Objectives:

Identify, formalize and produce around ten relevant geographic indicators for monitoring the resource.
Build a sustainable and reproducible technical solution, scalable in the long term.
Automate the processing and aggregation of vector geographic data (provided by the contracting authority).

Role and actions:

Design and development of a scripted geospatial processing framework (Python/GDAL, YAML), with geometric intersection, filtering, aggregation steps, etc.
Structuring data according to a bronze / silver / gold logic (Data Lakehouse model adapted to geographic data).
Setting up a data catalog and standardized models to facilitate multi-scale analysis.
Explicit refusal of manual processing (QGIS-type), in favor of an industrialized, reproducible and documented system.
Constant dialogue with public partners to refine indicators and anticipate future uses, applying an agile approach.

Results and impacts:

Successful delivery of the first version of the dashboard and indicators.
Adoption of the framework as the technical foundation for all future environmental projects of the observatory.
Significant time savings in subsequent projects and greater reliability of processing.
Building a culture of automated and maintainable processing within the team.

Lessons learned:

The importance of imposing a clear and robust technical vision, even when it diverges from existing practices.
Training and pedagogy are key factors in getting teams to adopt more advanced technical tools.
A well-considered methodological choice can generate a lasting leverage effect at the scale of an organization.

Skills used

Data Visualisation

Data Management

Python Development

Data Automation

Data Lakehouse

Data Processing

Data Analysis

Data Engineering

Technologies used

Python

GDAL

YAML

DBT

ArcGIS Online

ArcGIS

Bibliothèques Python

Pandas
Library for data manipulation and analysis.
rasterio
Reading and writing geospatial raster data.
geopandas
Pandas extension for working with geospatial data.
intake
Data discovery, management and access.
Dask
Parallel processing of large-scale data.

ESRI Dashboard / Wildfires

Fri, 01 Jan 2021 00:00:00 +0000

Description du projet

This project aims to develop an interactive dashboard using the ESRI platform to visualize and analyze environmental interest zones under pressure (wildfire , erosion, light pollution ..). Theses dashboards will integrate many detailed spatial data from plenty of data sources.

Compétences exploitées et livrables

ArcGIS Online ArcGIS Data Visualisation Data Management

Dashboard | Hugo Roussaffa a remote geomatic expert

ESRI Dashboard / Light pollution

Description du projet

Compétences exploitées et livrables

Galerie d’images

ESRI Dashboard / Water management

📝 Drinking water resource monitoring project in New Caledonia

Skills used

Technologies used

Python

GDAL

YAML

DBT

ArcGIS Online

ArcGIS

Bibliothèques Python

ESRI Dashboard / Wildfires

Description du projet

Compétences exploitées et livrables

Galerie d’images