Terrestrial Connectivity Based on Landsat/Sentinel Land Cover Classes as a Biodiversity Indicator for the European Green Deal Data Space

Ivette Serral; Vitalii Kriukov; Oscar Gonzalez; Xavier Pons; Mario Padial; Lucy Bastin; Joan Masó; Joan Pino

doi:10.1109/igarss53475.2024.10640524

Terrestrial Connectivity Based on Landsat/Sentinel Land Cover Classes as a Biodiversity Indicator for the European Green Deal Data Space

Ivette Serral
, Vitalii Kriukov
, Oscar Gonzalez
, Xavier Pons
, Mario Padial
, Lucy Bastin
, Joan Masó
, Joan Pino

Aston University

Research output: Chapter in Book/Published conference output › Conference publication

1 Citation (Scopus)

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.

Original language	English
Title of host publication	IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
Publisher	IEEE
Pages	2328-2331
Number of pages	4
ISBN (Electronic)	9798350360325
DOIs	https://doi.org/10.1109/igarss53475.2024.10640524
Publication status	Published - 5 Sept 2024
Event	2024 IEEE International Geoscience and Remote Sensing Symposium - Athens, Greece Duration: 7 Jul 2024 → 12 Jul 2024

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference	2024 IEEE International Geoscience and Remote Sensing Symposium
Abbreviated title	IGARSS 2024
Country/Territory	Greece
City	Athens
Period	7/07/24 → 12/07/24

Funding

This work has been co-funded by the European Union, Switzerland, and the United Kingdom under the AD4GD project (HORIZON-CL6-2021-101061001), the Spanish MCIU under the NEWFORLAND project (RTI2018-099397-B-C21 MCIU/AEI/ERDF, EU), and the Generalitat de Catalunya. X. Pons is the recipient of an ICREA Academia 2023 -2027 Excellence Research Grant.

Funders
Institució Catalana de Recerca i Estudis Avançats
Generalitat de Catalunya
European Commission

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 15 Life on Land

Keywords

Connectivity
Green Deal
Habitats
Land cover

Access to Document

10.1109/igarss53475.2024.10640524

Cite this

Serral, I., Kriukov, V., Gonzalez, O., Pons, X., Padial, M., Bastin, L., Masó, J., & Pino, J. (2024). Terrestrial Connectivity Based on Landsat/Sentinel Land Cover Classes as a Biodiversity Indicator for the European Green Deal Data Space. In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium (pp. 2328-2331). (International Geoscience and Remote Sensing Symposium (IGARSS)). IEEE. https://doi.org/10.1109/igarss53475.2024.10640524

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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",

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doi = "10.1109/igarss53475.2024.10640524",

language = "English",

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booktitle = "IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium",

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Serral, I, Kriukov, V, Gonzalez, O, Pons, X, Padial, M, Bastin, L, Masó, J & Pino, J 2024, Terrestrial Connectivity Based on Landsat/Sentinel Land Cover Classes as a Biodiversity Indicator for the European Green Deal Data Space. in IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. International Geoscience and Remote Sensing Symposium (IGARSS), IEEE, pp. 2328-2331, 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, 7/07/24. https://doi.org/10.1109/igarss53475.2024.10640524

Terrestrial Connectivity Based on Landsat/Sentinel Land Cover Classes as a Biodiversity Indicator for the European Green Deal Data Space. / Serral, Ivette; Kriukov, Vitalii; Gonzalez, Oscar et al.
IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. p. 2328-2331 (International Geoscience and Remote Sensing Symposium (IGARSS)).

Research output: Chapter in Book/Published conference output › Conference publication

TY - GEN

T1 - Terrestrial Connectivity Based on Landsat/Sentinel Land Cover Classes as a Biodiversity Indicator for the European Green Deal Data Space

AU - Serral, Ivette

AU - Kriukov, Vitalii

AU - Gonzalez, Oscar

AU - Pons, Xavier

AU - Padial, Mario

AU - Bastin, Lucy

AU - Masó, Joan

AU - Pino, Joan

PY - 2024/9/5

Y1 - 2024/9/5

N2 - 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.

AB - 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.

KW - Connectivity

KW - Green Deal

KW - Habitats

KW - Land cover

UR - https://ieeexplore.ieee.org/document/10640524/

UR - https://www.scopus.com/pages/publications/85204872210

U2 - 10.1109/igarss53475.2024.10640524

DO - 10.1109/igarss53475.2024.10640524

M3 - Conference publication

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 2328

EP - 2331

BT - IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium

PB - IEEE

T2 - 2024 IEEE International Geoscience and Remote Sensing Symposium

Y2 - 7 July 2024 through 12 July 2024

ER -

Serral I, Kriukov V, Gonzalez O, Pons X, Padial M, Bastin L et al. Terrestrial Connectivity Based on Landsat/Sentinel Land Cover Classes as a Biodiversity Indicator for the European Green Deal Data Space. In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE. 2024. p. 2328-2331. (International Geoscience and Remote Sensing Symposium (IGARSS)). Epub 2024 Jul 7. doi: 10.1109/igarss53475.2024.10640524

Terrestrial Connectivity Based on Landsat/Sentinel Land Cover Classes as a Biodiversity Indicator for the European Green Deal Data Space

Abstract

Publication series

Conference

Funding

UN SDGs

Keywords

Access to Document

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Cite this