Environment

Ludvision

LudVision is a proof of concept project for Remote Detection of an Invasive Aquatic Floral Species using Drone-Captured Multispectral Data. The main targeted species was Ludwigia peploides, which is an invasive species that raises concern at the European level, due to its negative impact on the natural balance native ecosystems.

The project fits under the Remote Sensing umbrella, and relies on heavily modified state-of-the-art semantic segmentation models, to detect the presence of the invasive species in drone-captured multispectral images. The model is able to detect the species with high accuracy in a wide range of altitudes, and it is tolerant to variability in both atmospheric and light conditions.

This project was developed in partnership with UBI (Universidade da Beira Interior) and co-funded by NOVA LINCS (UIDB/04516/2020) with the financial support of FCT – Fundação para a Ciência e a Tecnologia, through portuguese national funds.

Specific Page  ->

ForestVISION

The ForestVISION project aims to develop an innovative online platform for intelligent forest monitoring, analysis, and sustainable management using artificial intelligence (AI) and computer vision. The platform employs AI to classify flora (the species and their deviations from optimal status) in a forest ecosystem, and analyse observable conditions. It offers early warnings on various aspects like size, composition, health, and potential risks such as illegal deforestation. The project focuses primarily on the Beiras and Serra da Estrela area, Beira Baixa in Portugal.

Utilizing data captured by satellites and drones, including RGB and hyper/multi-spectral imagery, as well as ground sensors like temperature and humidity sensors.

The platform aims to facilitate sustainable forest management by comparing reforestation methods, tree varieties, and monitoring factors that may lead to disasters. It contributes to scientific-technological cooperation between cross-border entities and aims to enhance local resources. ForestVISION helps to prevent natural hazards, adapt to climate changes, and efficiently manage ecosystem services in a more sustainable way, promoting social, environmental, and economic regeneration.

Specific Page  ->

    Fill the form to submit your application

    Experiences *

    Attach your CV *

    Field marked with * are mandatory.
    By clicking "Send" you accept our terms and conditions. Find out how we collect, use and share your data in our Privacy and Cookie Policy.

    Dimostra di essere umano selezionando auto.

      Fill the form to submit your application

      Experiences *

      Attach your CV *

      Field marked with * are mandatory.
      By clicking "Send" you accept our terms and conditions. Find out how we collect, use and share your data in our Privacy and Cookie Policy.

      Dimostra di essere umano selezionando albero.

        Fill the form to submit your application

        Experiences *

        Attach your CV *

        Field marked with * are mandatory.
        By clicking "Send" you accept our terms and conditions. Find out how we collect, use and share your data in our Privacy and Cookie Policy.

        Dimostra di essere umano selezionando tazza.

          Fill the form to submit your application

          Experiences *

          Attach your CV *

          Field marked with * are mandatory.
          By clicking "Send" you accept our terms and conditions. Find out how we collect, use and share your data in our Privacy and Cookie Policy.

          Dimostra di essere umano selezionando tazza.

            Fill the form to submit your application

            Experiences *

            Attach your CV *

            Field marked with * are mandatory.
            By clicking "Send" you accept our terms and conditions. Find out how we collect, use and share your data in our Privacy and Cookie Policy.

            Dimostra di essere umano selezionando bandiera.