FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3005093060> ?p ?o ?g. }

• W3005093060 endingPage "102068" @default.
• W3005093060 startingPage "102068" @default.
• W3005093060 abstract "Abstract 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." @default.
• W3005093060 created "2020-02-14" @default.
• W3005093060 creator A5018599588 @default.
• W3005093060 creator A5022058073 @default.
• W3005093060 creator A5037411886 @default.
• W3005093060 creator A5049421531 @default.
• W3005093060 creator A5065402497 @default.
• W3005093060 creator A5077713973 @default.
• W3005093060 creator A5086837091 @default.
• W3005093060 date "2020-06-01" @default.
• W3005093060 modified "2023-10-16" @default.
• W3005093060 title "Knowledge generation using satellite earth observations to support sustainable development goals (SDG): A use case on Land degradation" @default.
• W3005093060 cites W1024888659 @default.
• W3005093060 cites W1815391834 @default.
• W3005093060 cites W1988032609 @default.
• W3005093060 cites W2014336370 @default.
• W3005093060 cites W2046206266 @default.
• W3005093060 cites W2058947207 @default.
• W3005093060 cites W2061920292 @default.
• W3005093060 cites W2073122003 @default.
• W3005093060 cites W2092189547 @default.
• W3005093060 cites W2095848001 @default.
• W3005093060 cites W2100846025 @default.
• W3005093060 cites W2138083531 @default.
• W3005093060 cites W2153989276 @default.
• W3005093060 cites W2163337568 @default.
• W3005093060 cites W2302501749 @default.
• W3005093060 cites W2405037235 @default.
• W3005093060 cites W2469974077 @default.
• W3005093060 cites W2480349008 @default.
• W3005093060 cites W2482854865 @default.
• W3005093060 cites W2509112857 @default.
• W3005093060 cites W2588003345 @default.
• W3005093060 cites W2616288859 @default.
• W3005093060 cites W2620927607 @default.
• W3005093060 cites W2725897987 @default.
• W3005093060 cites W2742424758 @default.
• W3005093060 cites W2743298634 @default.
• W3005093060 cites W2750735368 @default.
• W3005093060 cites W2755078453 @default.
• W3005093060 cites W2765368320 @default.
• W3005093060 cites W2771758945 @default.
• W3005093060 cites W2790572352 @default.
• W3005093060 cites W2792773398 @default.
• W3005093060 cites W2884685419 @default.
• W3005093060 cites W2888961749 @default.
• W3005093060 cites W2893600956 @default.
• W3005093060 cites W2897285410 @default.
• W3005093060 cites W2899142524 @default.
• W3005093060 cites W2900943213 @default.
• W3005093060 cites W2901614490 @default.
• W3005093060 cites W2904292592 @default.
• W3005093060 cites W2904435173 @default.
• W3005093060 cites W2917624890 @default.
• W3005093060 cites W2945973719 @default.
• W3005093060 cites W2949033096 @default.
• W3005093060 cites W2953497047 @default.
• W3005093060 cites W2957930526 @default.
• W3005093060 cites W2963141437 @default.
• W3005093060 cites W2965352904 @default.
• W3005093060 cites W2990067979 @default.
• W3005093060 doi "https://doi.org/10.1016/j.jag.2020.102068" @default.
• W3005093060 hasPublicationYear "2020" @default.
• W3005093060 type Work @default.
• W3005093060 sameAs 3005093060 @default.
• W3005093060 citedByCount "58" @default.
• W3005093060 countsByYear W30050930602020 @default.
• W3005093060 countsByYear W30050930602021 @default.
• W3005093060 countsByYear W30050930602022 @default.
• W3005093060 countsByYear W30050930602023 @default.
• W3005093060 crossrefType "journal-article" @default.
• W3005093060 hasAuthorship W3005093060A5018599588 @default.
• W3005093060 hasAuthorship W3005093060A5022058073 @default.
• W3005093060 hasAuthorship W3005093060A5037411886 @default.
• W3005093060 hasAuthorship W3005093060A5049421531 @default.
• W3005093060 hasAuthorship W3005093060A5065402497 @default.
• W3005093060 hasAuthorship W3005093060A5077713973 @default.
• W3005093060 hasAuthorship W3005093060A5086837091 @default.
• W3005093060 hasBestOaLocation W30050930601 @default.
• W3005093060 hasConcept C107826830 @default.
• W3005093060 hasConcept C113052830 @default.
• W3005093060 hasConcept C127313418 @default.
• W3005093060 hasConcept C127413603 @default.
• W3005093060 hasConcept C146978453 @default.
• W3005093060 hasConcept C147176958 @default.
• W3005093060 hasConcept C17744445 @default.
• W3005093060 hasConcept C19269812 @default.
• W3005093060 hasConcept C1965285 @default.
• W3005093060 hasConcept C199539241 @default.
• W3005093060 hasConcept C205649164 @default.
• W3005093060 hasConcept C26148502 @default.
• W3005093060 hasConcept C33923547 @default.
• W3005093060 hasConcept C37914503 @default.
• W3005093060 hasConcept C39399123 @default.
• W3005093060 hasConcept C39432304 @default.
• W3005093060 hasConcept C4792198 @default.
• W3005093060 hasConcept C552854447 @default.
• W3005093060 hasConcept C62649853 @default.

• next