@inproceedings{1f3ab05cc9e54a66942c7a1481faa717,
title = "Terrestrial Connectivity Based on Landsat/Sentinel Land Cover Classes as a Biodiversity Indicator for the European Green Deal Data Space",
abstract = "Terrestrial connectivity and integrity of natural ecosystems is a main concern in most of the current European and Global Green Policies, i.e., the European Green Deal. Thus, public administration managers need reliable and long-term information for a better monitoring and decision making. Data Spaces are intended to become the EC comprehensive solution to integrate data from different sources and natures with the aim to generate and provide a more ready to use knowledge.This paper describes two approaches for estimating and evaluating habitat terrestrial connectivity from a pixel and a vector basis and using data coming from different sources. Terrestrial connectivity is analyzed for the whole Catalonia area in 8 quinquennial periods from 1987 to 2022. In the framework of the Green Deal Dataspace, this paper also focuses on new technical approaches for storing and distributing data such as the use of Open Data Cube, Cloud Optimized GeoTiff and OGC Web Services.",
keywords = "Connectivity, Green Deal, Habitats, Land cover",
author = "Ivette Serral and Vitalii Kriukov and Oscar Gonzalez and Xavier Pons and Mario Padial and Lucy Bastin and Joan Mas{\'o} and Joan Pino",
year = "2024",
month = sep,
day = "5",
doi = "10.1109/igarss53475.2024.10640524",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "IEEE",
pages = "2328--2331",
booktitle = "IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium",
address = "United States",
note = "2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024 ; Conference date: 07-07-2024 Through 12-07-2024",
}