Resultados

Publicações científicas

Coleção de artigos de investigação, revistos por pares, e atas de conferências do projeto OVERWATCH.

IGARSS 23 - A Published paper: A multimodal supervised machine learning approach for satellite-based wildfire identification in Europe. IGARSS 23 - B Published paper: Land cover segmentation with sparse annotations from Sentinel-2 imagery. ECML PKDD 2023 (MACLEAN Workshop) Robust Burned Area Delineation through Multitask Learning.

Networking & Promotion

O nosso consórcio realiza atividades de colaboração com outras iniciativas europeias de investigação e desenvolvimento tecnológico. Nesta secção, encontrará as nossas ligações e parceiros.

SIRESP Bootcamp From 29 to 31 March OVERWATCH team attended the SIRESP bootcamp. The event was a great opportunity to network with other professionals in the field and learn about the latest advancements in public safety and emergency response technology. ISQ at CEMTEx "Innovation and Technological Modernization in the Army" was the theme for the second edition of CEMTEx, an event promoted by the Army, which took place on November 22 and 23 at Taguspark in Oeiras, and once again featured the participation of ISQ. Overwatch in the 2nd EO and GNSS Market Report by EUSPA We are so proud to have Overwatch Project quoted in the 2nd EUSPA - EU Agency for the Space Programme EO and GNSS Market Report! The project is highlighted (page 89) as one of the main interesting currently focused on emergency management and humanitarian aid.

Entregáveis

Os entregáveis públicos do projecto OVERWATCH podem ser descarregados aqui, enquanto que os que possuem algum grau de confidencialidade apenas conterão uma breve descrição do seu conteúdo.

D1.1 End-users requirements The deliverable focuses on the project's objectives, scope, and expected outcomes for managing wildfires and floods, emphasizing innovative technologies. The report discusses the requirements for the OVERWATCH technologies and serves as a roadmap for further development of the OVERWATCH technologies. D1.2 FunctionalTechnical requirements and System architecture The deliverable focuses on the System Architecture, highlighting the alignment of functional requirements with end-user needs across the constituent modules. Detailed descriptions of each module encompass their functional requirements, technical specifications, and the anticipated data exchange interfaces with expected users. D2.4 Report fallback communications system V1 D4.1 Integration and validation methodology and plan D4.2 Iterative system integration and fine-tunings second issue V2 D4.2 Iterative system integration and fine-tunings V2.1 D4.3 Report on system demonstration, feedback workshops and training activities D5.1 Dissemination and Communication Plan Dissemination and communication plan is the main guideline for the execution of the D&C activities that will be carried out within the OVERWATCH project. It gives an overview of the whole D&C activities foreseen throughout the project with indicators to evaluate the effectiveness. D5.2 Report on dissemination and communication D5.2 Report on Dissemination and Communication activities D5.2 Report on Dissemination and Communication activities Issue 2 D5.4 International cooperations and synergies D6.1 Project Management plan The Project Management Plan defines how the OVERWATCH project will be managed, excluded, and controlled. D6.1 Issue 2 D6.2 Issue 2 D6.2 Data Management Plan The Data Management Plan defines how the different types of data will be managed within the 6 WPs of the OVERWATCH project. D6.3 Privacy ethics and security report D6.3 Privacy Security Ethics requirements UPDATE for M42 final v1

Open data packages

Burned area delineation Wildfire CEMS - The dataset includes annotations for burned area delineation and land cover segmentation, with a focus on European soil. The dataset is curated from various sources, including the Copernicus European Monitoring System (EMS) and Sentinel-2 feeds. Multimodal wildfire hotspot detection This is a dataset for rapid wildfire hotspot detection using self-supervised learning on temporal remote sensing data. MMFlood - flood delineation dataset This is a Multi-Modal dataset for Flood delineation from satellite Imagery. FMARS: Foundation Model Annotations for Remote Sensing Images FMARS is a large-scale dataset of Very High Resolution (VHR) remote sensing images with annotations generated using Vision Foundation Models. The dataset focuses on disaster management applications and provides pre-event imagery and annotations for major crisis events worldwide from 2021 to 2023.