Publication:
Assessing Technologies to Accelerate the Process of Monitoring, Reporting, and Verifying Emission Reductions Programs

Simple item page
dc.contributor.authorAguilar-Amuchastegui, Naikoa
dc.contributor.authorBelenky, Lucas Gregory
dc.contributor.authorBurt, Andrew
dc.contributor.authorBecerra Leal, Catalina
dc.contributor.authorGalindo, Gustavo
dc.contributor.authorBotero, Maria Fernanda Jaramillo
dc.contributor.authorKiesslich, Norman
dc.contributor.authorMatteson, Ryan
dc.contributor.authorMichel Fuentes, Jose Maria
dc.contributor.authorPeneva-Reed, Ellie
dc.contributor.authorVilca, Beisit Luz Puma
dc.contributor.authorSanchez, Natalie
dc.contributor.authorSoares, Muri
dc.contributor.authorOdorico, Hercilo
dc.contributor.authorOsterbur, Nicholas
dc.contributor.authorPerez Lara, Martin
dc.contributor.authorTurriago, Juan
dc.contributor.authorEspejo, Andres B.
dc.date.accessioned2025-02-11T16:13:21Z
dc.date.available2025-02-11T16:13:21Z
dc.date.issued2025-02-11
dc.description.abstractThis study explored the use of a state-of-the-art collection of high-quality in situ datasets, following best practices13 to inform biomass estimates derived through remote sensing. The intention was to circumvent (1) the challenge of extrapolating data coverage from plot-level to satellite-level (for example, for the entire ERP area) and (2) the limitations of using allometric equations to estimate biomass from national forest inventories. The ASA also explored a novel method of creating data synergies within a 50,000-hectare (ha) region of interest. It was expected that these processes would improve the accuracy and bias of estimates so they could be extrapolated to the larger ERP area with the support of colleagues from Sylvera.en
dc.identifierhttp://documents.worldbank.org/curated/en/099012825214032620/P1787351e3ff9c00218b511df5e92e9bc75
dc.identifier.doi10.1596/42789
dc.identifier.doihttps://doi.org/10.1596/42789
dc.identifier.urihttps://hdl.handle.net/10986/42789
dc.languageEnglish
dc.language.isoen_US
dc.publisherWashington, DC: World Bank
dc.rightsCC BY-NC 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttps://creativecommons.org/licenses/by-nc/3.0/igo
dc.subjectBIOMASS ESTIMATES
dc.subjectEXTRAPOLATING DATA COVERAGE
dc.subjectNATIONAL FOREST INVENTORIES
dc.subjectLIFE ON LAND
dc.subjectCLIMATE ACTION
dc.titleAssessing Technologies to Accelerate the Process of Monitoring, Reporting, and Verifying Emission Reductions Programsen
dc.typeReport
dspace.entity.typePublication
okr.date.disclosure2025-02-11
okr.date.doiregistration2025-04-14T11:57:49.704379Z
okr.date.lastmodified2025-01-29T00:00:00Zen
okr.doctypeEconomic & Sector Work
okr.docurlhttp://documents.worldbank.org/curated/en/099012825214032620/P1787351e3ff9c00218b511df5e92e9bc75
okr.guid099012825214032620
okr.identifier.docmidP178735-e3ff9c20-6997-4b02-8b51-df5e92e9bc75
okr.identifier.externaldocumentum34450732
okr.identifier.internaldocumentum34450732
okr.identifier.report196911
okr.import.id6547
okr.importedtrueen
okr.language.supporteden
okr.pdfurlhttp://documents.worldbank.org/curated/en/099012825214032620/pdf/P1787351e3ff9c00218b511df5e92e9bc75.pdfen
okr.region.geographicalWorld
okr.sectorFY17 - Other Public Administration
okr.themeForests Policies and institutions,Mitigation,Data Development and Capacity Building,ICT,ICT Solutions,Rural Development,Environment and Natural Resource Management,Private Sector Development,Public Sector Management,Climate change,Urban and Rural Development,Landscape Management,Adaptation,Geospatial Services,Data production, accessibility and use,Renewable Natural Resources Asset Management
okr.topicEnvironment::Climate Change and Environment
okr.topicEnvironment::Forests and Forestry
okr.topicRural Development::Rural Development Strategy & Policy
okr.topicRural Development::Natural Resources Management and Rural Issues
okr.unitPlanet -CCG-Finance Mobilization (SCCFM)
Files
Original bundle
Now showing 1 - 2 of 2
Thumbnail Image
Name:
P1787351e3ff9c00218b511df5e92e9bc75.pdf
Size:
5.03 MB
Format:
Adobe Portable Document Format
Download
No Thumbnail Available
Name:
P1787351e3ff9c00218b511df5e92e9bc75.txt
Size:
163.13 KB
Format:
Plain Text
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Plain Text
Description:
Download
Collections
Other ESW Reports