@inproceedings{45e5eee260724a54b52c4ca01e029d5c,
title = "Change detection in (semi-) natural grassland ecosystems for biodiversity monitoring using open data",
abstract = "A crucial challenge among remote sensing communities is the availability of open data. Several European and international programs address this aim offering a useful support to many applications. The detection of changes in ecosystems for the monitoring of biodiversity is one of the main goal for the commitments undertaken not only by the European Habitats Directive (92/43/EEC) and the Convention of Biological Diversity (CBD) but also the UN Sustainable Development Goals (SDG). This work aims to show the usefulness of free available data for the detecting of changes in (semi-) natural grasslands ecosystem for three different test site in Italy and Portugal. Due to its request for only one multispectral remote sensed image at time T2 and a land cover map at time T1, the Cross Correlation Analysis (CCA) algorithm was preferred for the detection of changes from (semi-) natural grasslands to other land cover. A Sentinel-2 image as T2 and the (semi-) natural grasslands Copernicus layer as T1 were considered. The accuracy assessment of the change maps was based on stratified random sampling weighting the Overall Accuracy (OA) by the proportions of the study area represented by the map classes. The reported finding for OA% of 94.21±0.10, is encouraging and promising as a support to policy makers.",
keywords = "(semi-) natural grasslands, Biodiversity, Change detection, Copernicus layer, Sentinel-2",
author = "Cristina Tarantino and Maria Adamo and Richard Lucas and Palma Blonda",
note = "Funding Information: This work was supported by the European Union's Horizon 2020 Research and Innovation Programme, within the project ECOPOTENTIAL: improving future ecosystem benefits through earth observations, grant agreement 641762 (www.ecopotential-project.eu). Publisher Copyright: {\textcopyright} 2018 IEEE.; 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 ; Conference date: 22-07-2018 Through 27-07-2018",
year = "2018",
month = oct,
day = "31",
doi = "10.1109/IGARSS.2018.8519148",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "IEEE Press",
pages = "8981--8984",
booktitle = "2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings",
address = "United States of America",
}
