Detursat Project: Satellite-based Tourist Detection

by | Jan 31, 2024 | 0 comments

Summary and Actions

The DETURSAT project arises within the “Heritage for Development” working group of the Efficient Habitat Cluster AEICE and focuses on investigating the use of artificial intelligence (AI) to interpret satellite images and detect human pressure in natural environments affected by tourism, through the indicator of the presence of vehicles.

The research focuses on the interpretation of remotely sensed images with the aim of developing predictive models using AI.

These models aim to create tools for managing tourist flows in natural environments, adapting to the carrying capacity of these spaces and reducing environmental impacts.

These tools will be useful for rural tourism and natural areas, offering managers and companies the capacity to adjust their offers to the real foreseeable demand each year.

Caso de éxito Detursat

General objective

The main objective is to explore the capacity of satellite remote sensing to generate predictive models of tourist pressure on specific elements of the natural environment.

This will allow mitigating negative impacts and moving towards sustainability, adjusting demand to actual supply and providing effective management systems for pressure flows and their burden on the environment.

SDGs impacted

9. Industry, innovation and infrastructure
11. Sustainable cities and communities
13. Climate action
17. Partnerships to achieve new goals

Granting Body, Financing and Application

Call for proposals: Order of 11 April 2023, of the Ministry of Industry, Trade and Tourism, in the framework of the Recovery, Transformation and Resilience Plan, co-financed by the Next Generation funds of the European Union.

  • File number: AEI-010500-2023-106
  • Total Budget: 200.746,00 €.
  • Total subsidy: 160.594,00 €.

See more about the Detursat project

Pablo Quesada Molina

Pablo Quesada Molina

CTO & Co-Founder Agforest

Geospatial Developer (Python/JS) Data Scientist I+D project Manager