Knowledge generation using satellite earth observations to support sustainable development goals (SDG): A use case on Land degradation
Land degradation is a critical issue globally requiring immediate actions for protecting biodiversity and associated services provided by ecosystems that are supporting human quality of life. The latest Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services Landmark Assessm...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-06-01
|
| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0303243419311869 |
| _version_ | 1818232994579611648 |
|---|---|
| author | Gregory Giuliani Paolo Mazzetti Mattia Santoro Stefano Nativi Joost Van Bemmelen Guido Colangeli Anthony Lehmann |
| author_facet | Gregory Giuliani Paolo Mazzetti Mattia Santoro Stefano Nativi Joost Van Bemmelen Guido Colangeli Anthony Lehmann |
| author_sort | Gregory Giuliani |
| collection | DOAJ |
| description | Land degradation is a critical issue globally requiring immediate actions for protecting biodiversity and associated services provided by ecosystems that are supporting human quality of life. The latest Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services Landmark Assessment Report highlighted that human activities are considerably degrading land and threating the well-being of approximately 3.2 billion people.In order to reduce and ideally reverse this prevailing situation, national capacities should be strengthened to enable effective assessments and mapping of their degraded lands as recommended by the United Nations Sustainable Development Goals (SDGs). The indicator 15.3.1 (“proportion of land that is degraded over total land area”) requires regular data production by countries to inform and assess it through space and time. Earth Observations (EO) can play an important role both for generating the indicator in countries where it is missing, as well complementing or enhancing national official data sources.In response to this issue, this paper presents an innovative, scalable and flexible approach to monitor land degradation at various scales (e.g., national, regional, global) using various components of the Global Earth Observation System of Systems (GEOSS) platform to leverage EO resources for informing SDG 15.3.1. The proposed approach follows the Data-Information-Knowledge pattern using the Trends.Earth model (http://trends.earth) and various data sources to generate the indicator. It also implements additional components for model execution and orchestration, knowledge management, and visualization.The proposed approach has been successfully applied at global, regional and national scales and advances the vision of (1) establishing data analytics platforms that can potentially support countries to discover, access and use the necessary datasets to assess land degradation; and (2) developing new capacities to effectively and efficiently use EO-based resources. |
| first_indexed | 2024-12-12T11:15:08Z |
| format | Article |
| id | doaj.art-ad85b5b16b5a49c4a38212b36a2e4f30 |
| institution | Directory Open Access Journal |
| issn | 1569-8432 |
| language | English |
| last_indexed | 2024-12-12T11:15:08Z |
| publishDate | 2020-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Applied Earth Observations and Geoinformation |
| spelling | doaj.art-ad85b5b16b5a49c4a38212b36a2e4f302022-12-22T00:26:10ZengElsevierInternational Journal of Applied Earth Observations and Geoinformation1569-84322020-06-0188102068Knowledge generation using satellite earth observations to support sustainable development goals (SDG): A use case on Land degradationGregory Giuliani0Paolo Mazzetti1Mattia Santoro2Stefano Nativi3Joost Van Bemmelen4Guido Colangeli5Anthony Lehmann6University of Geneva, Institute for Environmental Sciences, EnviroSPACE lab, 66 Boulevard Carl-Vogt, 1205, Geneva, Switzerland; University of Geneva, Institute for Environmental Sciences, GRID-Geneva, 66 Boulevard Carl-Vogt, 1205, Geneva, Switzerland; Corresponding author at: University of Geneva, Institute for Environmental Sciences, EnviroSPACE lab, 66 Boulevard Carl-Vogt, 1205, Geneva, Switzerland.National Research Council of Italy (CNR) – Institute of Atmospheric Pollution Research, Via Madonna del Piano 10, 50019, Sesto Fiorentino, ItalyNational Research Council of Italy (CNR) – Institute of Atmospheric Pollution Research, Via Madonna del Piano 10, 50019, Sesto Fiorentino, ItalyEuropean Commission – Joint Reseach Center, Via Enrico Fermi 2749, 21027 Ispra, ItalyEuropean Space Agency/European Space Research Institute, Largo Galileo Galilei, 1, 00044, Frascati, ItalyEuropean Space Agency/European Space Research Institute, Largo Galileo Galilei, 1, 00044, Frascati, ItalyUniversity of Geneva, Institute for Environmental Sciences, EnviroSPACE lab, 66 Boulevard Carl-Vogt, 1205, Geneva, Switzerland; University of Geneva, Dpt. F.-A. Forel for Environmental and Aquatic Sciences, 66 Boulevard Carl-Vogt, 1205, Geneva, SwitzerlandLand degradation is a critical issue globally requiring immediate actions for protecting biodiversity and associated services provided by ecosystems that are supporting human quality of life. The latest Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services Landmark Assessment Report highlighted that human activities are considerably degrading land and threating the well-being of approximately 3.2 billion people.In order to reduce and ideally reverse this prevailing situation, national capacities should be strengthened to enable effective assessments and mapping of their degraded lands as recommended by the United Nations Sustainable Development Goals (SDGs). The indicator 15.3.1 (“proportion of land that is degraded over total land area”) requires regular data production by countries to inform and assess it through space and time. Earth Observations (EO) can play an important role both for generating the indicator in countries where it is missing, as well complementing or enhancing national official data sources.In response to this issue, this paper presents an innovative, scalable and flexible approach to monitor land degradation at various scales (e.g., national, regional, global) using various components of the Global Earth Observation System of Systems (GEOSS) platform to leverage EO resources for informing SDG 15.3.1. The proposed approach follows the Data-Information-Knowledge pattern using the Trends.Earth model (http://trends.earth) and various data sources to generate the indicator. It also implements additional components for model execution and orchestration, knowledge management, and visualization.The proposed approach has been successfully applied at global, regional and national scales and advances the vision of (1) establishing data analytics platforms that can potentially support countries to discover, access and use the necessary datasets to assess land degradation; and (2) developing new capacities to effectively and efficiently use EO-based resources.http://www.sciencedirect.com/science/article/pii/S0303243419311869Land degradationSustainable development goalKnowledgeEarth observationsVLabGEOSS |
| spellingShingle | Gregory Giuliani Paolo Mazzetti Mattia Santoro Stefano Nativi Joost Van Bemmelen Guido Colangeli Anthony Lehmann Knowledge generation using satellite earth observations to support sustainable development goals (SDG): A use case on Land degradation International Journal of Applied Earth Observations and Geoinformation Land degradation Sustainable development goal Knowledge Earth observations VLab GEOSS |
| title | Knowledge generation using satellite earth observations to support sustainable development goals (SDG): A use case on Land degradation |
| title_full | Knowledge generation using satellite earth observations to support sustainable development goals (SDG): A use case on Land degradation |
| title_fullStr | Knowledge generation using satellite earth observations to support sustainable development goals (SDG): A use case on Land degradation |
| title_full_unstemmed | Knowledge generation using satellite earth observations to support sustainable development goals (SDG): A use case on Land degradation |
| title_short | Knowledge generation using satellite earth observations to support sustainable development goals (SDG): A use case on Land degradation |
| title_sort | knowledge generation using satellite earth observations to support sustainable development goals sdg a use case on land degradation |
| topic | Land degradation Sustainable development goal Knowledge Earth observations VLab GEOSS |
| url | http://www.sciencedirect.com/science/article/pii/S0303243419311869 |
| work_keys_str_mv | AT gregorygiuliani knowledgegenerationusingsatelliteearthobservationstosupportsustainabledevelopmentgoalssdgausecaseonlanddegradation AT paolomazzetti knowledgegenerationusingsatelliteearthobservationstosupportsustainabledevelopmentgoalssdgausecaseonlanddegradation AT mattiasantoro knowledgegenerationusingsatelliteearthobservationstosupportsustainabledevelopmentgoalssdgausecaseonlanddegradation AT stefanonativi knowledgegenerationusingsatelliteearthobservationstosupportsustainabledevelopmentgoalssdgausecaseonlanddegradation AT joostvanbemmelen knowledgegenerationusingsatelliteearthobservationstosupportsustainabledevelopmentgoalssdgausecaseonlanddegradation AT guidocolangeli knowledgegenerationusingsatelliteearthobservationstosupportsustainabledevelopmentgoalssdgausecaseonlanddegradation AT anthonylehmann knowledgegenerationusingsatelliteearthobservationstosupportsustainabledevelopmentgoalssdgausecaseonlanddegradation |