dc.contributor.author | Smail, Emily | |
dc.contributor.author | VanGraafeiland, Keith | |
dc.contributor.author | Ghafari, Dany | |
dc.coverage.spatial | Global | en_US |
dc.date.accessioned | 2021-02-07T21:18:44Z | |
dc.date.available | 2021-02-07T21:18:44Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Smail, E.; VanGraafeiland, K. and Ghafari, D. (2020) Methodology, processing and application development in support of Sustainable Development Goal 14.1. GEO Blue Planet. [Available: https://chlorophyll-esrioceans.hub.arcgis.com]. DOI: http://dx.doi.org/10.25607/OBP-1008 | en_US |
dc.identifier.uri | http://hdl.handle.net/11329/1508 | |
dc.identifier.uri | http://dx.doi.org/10.25607/OBP-1008 | |
dc.description.abstract | Addressing the global nature of marine pollution needs tools to monitor and measure its extent in the ocean. With Sustainable Development Goal (SDG) 14 target 14.1, the United Nations established a charge for countries to "by 2025, prevent and significantly reduce marine pollution of all kinds, in particular from land-based activities, including marine debris and nutrient pollution". While In-situ measures of nutrient pollution would provide high-resolution data, not all countries have the capacity to provide this information. To address this gap, GEO Blue Planet, Esri and the UN Environment Programme have developed a GIS software methodology to report on SDG 14.1.1a - Index of Coastal Eutrophication. This collaboration includes the production of statistics for the global indicators for eutrophication so the data can be included in the 2021 SDG Progress report. Additionally, this collaboration is developing application dashboards on satellite-derived chlorophyll-a for countries to assist with the identification of potential eutrophication hot spots. | en_US |
dc.language.iso | en | en_US |
dc.rights | CC0 1.0 Universal | * |
dc.rights.uri | http://creativecommons.org/publicdomain/zero/1.0/ | * |
dc.title | Methodology, Processing, and Application Development in Support of Sustainable Development Goal 14.1: Chlorophyll Global Analysis and Metrices | en_US |
dc.title.alternative | Monitoring for SDG Indicator 14.1.1: Coastal Eutrophication | en_US |
dc.type | Web Based Content | en_US |
dc.contributor.corpauthor | GEO Blue Planet | en_US |
dc.description.notes | GEO Blue Planet is the coastal and ocean arm of GEO, connecting ocean and coastal information with society. This initiative delivers usable data and information services to support informed decision-making toward reaching Sustainable Development Goal (SDG) 14, which in part is aimed at reducing the impacts of ocean pollution, particularly from land-based activities such as agricultural runoff. This over-enriches coastal waters with nitrogen or phosphorus (a process called eutrophication), which in turn leads to increased growth and biomass of algae, which in turn adversely affects ecosystem balance and water quality. Not all countries have the capacity to map and monitor this kind of “nutrient pollution” in their coastal waters. To address this gap, GEO Blue Planet partnered with a team from Esri, and the United Nations Environment Programme, to develop a new statistical approach and GIS workflow using what data developing nations have, coupled with satellite observations to report on eutrophication in their waters and identify potential eutrophication hot spots. The 2020 GEO Sustainable Development Goals (SDGs) Awards Program, led by the Earth Observation for SDG (EO4SDG) initiative, recognized this collaboration with a Special Category award for its productivity and novelty of results in support of SDG indicator 14.1.1 on coastal eutrophication. Initial results, workflows, dashboards, and other products are at chlorophyll-esrioceans.hub.arcgis.com. This partnership’s methodology is now also included in the UN’s Global Manual for Ocean Statistics (UN Environment, 2020, Global Manual on Ocean Statistics, Towards a definition of indicator methodologies, Nairobi, Kenya, UN Environment, 42 pp., https://geoblueplanet.org/wp-content/uploads/2020/01/Global_Manual_Ocean_Statistics_New.pdf). Thus, it can also be applied in other environments where it is needed and modified to work on many geographic scales. See a video at https://youtu.be/K0fir9T95cw . | en_US |
dc.subject.parameterDiscipline | Parameter Discipline::Biological oceanography::Phytoplankton | en_US |
dc.subject.parameterDiscipline | Parameter Discipline::Biological oceanography::Pigments | en_US |
dc.subject.parameterDiscipline | Parameter Discipline::Environment::Anthropogenic contamination | en_US |
dc.subject.dmProcesses | Data Management Practices::Data analysis | en_US |
dc.subject.dmProcesses | Data Management Practices::Data delivery | en_US |
dc.subject.dmProcesses | Data Management Practices::Data management planning and strategy development | en_US |
dc.subject.dmProcesses | Data Management Practices::Data visualization | en_US |
dc.description.sdg | 14.1.1 | en_US |
dc.description.eov | Phytoplankton biomass and diversity | en_US |
dc.description.eov | Nutrients | en_US |
dc.description.maturitylevel | TRL 8 Actual system completed and "mission qualified" through test and demonstration in an operational environment (ground or space) | en_US |
dc.description.bptype | Best Practice | en_US |
dc.description.bptype | Manual (incl. handbook, guide, cookbook etc) | en_US |
obps.contact.contactemail | KVanGraafeiland@esri.com | |
obps.resourceurl.publisher | https://chlorophyll-esrioceans.hub.arcgis.com | en_US |