Toward a More Representative Monitoring of Land-Use and Land-Cover Dynamics: The Use of a Sample-Based Assessment through Augmented Visual Interpretation Using Open Foris Collect Earth

High-quality data for REDD+ monitoring, measurement, and reporting are critical for the continued success of REDD+ implementation and Results-Based Payments. Collect Earth is a free, user-friendly, and open-source software for land monitoring developed by the Food and Agriculture Organization of the...

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Autores principales:	Danae Maniatis, Daniel Dionisio, Laura Guarnieri, Giulio Marchi, Danilo Mollicone, Carmen Morales, Alfonso Sanchez-Paus Díaz
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	UNFCCC REDD+ land monitoring Activity Data Sentinel 2 Google Earth Engine sample-based approach Science Q
Acceso en línea:	https://doaj.org/article/4bccd78a23e444ad83fc3076cf87105a
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spelling	oai:doaj.org-article:4bccd78a23e444ad83fc3076cf87105a2021-11-11T18:49:37ZToward a More Representative Monitoring of Land-Use and Land-Cover Dynamics: The Use of a Sample-Based Assessment through Augmented Visual Interpretation Using Open Foris Collect Earth10.3390/rs132141972072-4292https://doaj.org/article/4bccd78a23e444ad83fc3076cf87105a2021-10-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/21/4197https://doaj.org/toc/2072-4292High-quality data for REDD+ monitoring, measurement, and reporting are critical for the continued success of REDD+ implementation and Results-Based Payments. Collect Earth is a free, user-friendly, and open-source software for land monitoring developed by the Food and Agriculture Organization of the United Nations (FAO). The tool allows countries to undertake land monitoring easily and rapidly through a sample-based approach and generate Activity Data (data on the magnitude of human activity resulting in emissions or removals during a given period of time) through augmented visual interpretation with low costs. Under the Paris Agreement, countries will have to update the greenhouse gas inventories that they report to the United Nations Framework Convention on Climate Change every two years through the Biennial Update Reports. One of the important benefits of using sample-based approaches such as the one proposed by Collect Earth is the possibility to achieve a detailed classification of the land-use sub-categories with high accuracy of the estimates for land-use changes occurring since 2000. However, most guidance documents developed for capacity building in developing countries for REDD+ reporting only advocate developing land-cover and land-cover change maps using remote sensing. As several countries already use Collect Earth and the sample-based methodology to report on REDD+, this commentary advocates for a more representative approach and a methodological debate on the potential of sample-based approaches using remote sensing, and when possible combined with ground truthing, to estimate Activity Data for REDD+ and countries’ greenhouse gas inventories for the Agriculture, Forestry and Other Land Use sector in general.Danae ManiatisDaniel DionisioLaura GuarnieriGiulio MarchiDanilo MolliconeCarmen MoralesAlfonso Sanchez-Paus DíazMDPI AGarticleUNFCCC REDD+land monitoringActivity DataSentinel 2Google Earth Enginesample-based approachScienceQENRemote Sensing, Vol 13, Iss 4197, p 4197 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	UNFCCC REDD+ land monitoring Activity Data Sentinel 2 Google Earth Engine sample-based approach Science Q
spellingShingle	UNFCCC REDD+ land monitoring Activity Data Sentinel 2 Google Earth Engine sample-based approach Science Q Danae Maniatis Daniel Dionisio Laura Guarnieri Giulio Marchi Danilo Mollicone Carmen Morales Alfonso Sanchez-Paus Díaz Toward a More Representative Monitoring of Land-Use and Land-Cover Dynamics: The Use of a Sample-Based Assessment through Augmented Visual Interpretation Using Open Foris Collect Earth
description	High-quality data for REDD+ monitoring, measurement, and reporting are critical for the continued success of REDD+ implementation and Results-Based Payments. Collect Earth is a free, user-friendly, and open-source software for land monitoring developed by the Food and Agriculture Organization of the United Nations (FAO). The tool allows countries to undertake land monitoring easily and rapidly through a sample-based approach and generate Activity Data (data on the magnitude of human activity resulting in emissions or removals during a given period of time) through augmented visual interpretation with low costs. Under the Paris Agreement, countries will have to update the greenhouse gas inventories that they report to the United Nations Framework Convention on Climate Change every two years through the Biennial Update Reports. One of the important benefits of using sample-based approaches such as the one proposed by Collect Earth is the possibility to achieve a detailed classification of the land-use sub-categories with high accuracy of the estimates for land-use changes occurring since 2000. However, most guidance documents developed for capacity building in developing countries for REDD+ reporting only advocate developing land-cover and land-cover change maps using remote sensing. As several countries already use Collect Earth and the sample-based methodology to report on REDD+, this commentary advocates for a more representative approach and a methodological debate on the potential of sample-based approaches using remote sensing, and when possible combined with ground truthing, to estimate Activity Data for REDD+ and countries’ greenhouse gas inventories for the Agriculture, Forestry and Other Land Use sector in general.
format	article
author	Danae Maniatis Daniel Dionisio Laura Guarnieri Giulio Marchi Danilo Mollicone Carmen Morales Alfonso Sanchez-Paus Díaz
author_facet	Danae Maniatis Daniel Dionisio Laura Guarnieri Giulio Marchi Danilo Mollicone Carmen Morales Alfonso Sanchez-Paus Díaz
author_sort	Danae Maniatis
title	Toward a More Representative Monitoring of Land-Use and Land-Cover Dynamics: The Use of a Sample-Based Assessment through Augmented Visual Interpretation Using Open Foris Collect Earth
title_short	Toward a More Representative Monitoring of Land-Use and Land-Cover Dynamics: The Use of a Sample-Based Assessment through Augmented Visual Interpretation Using Open Foris Collect Earth
title_full	Toward a More Representative Monitoring of Land-Use and Land-Cover Dynamics: The Use of a Sample-Based Assessment through Augmented Visual Interpretation Using Open Foris Collect Earth
title_fullStr	Toward a More Representative Monitoring of Land-Use and Land-Cover Dynamics: The Use of a Sample-Based Assessment through Augmented Visual Interpretation Using Open Foris Collect Earth
title_full_unstemmed	Toward a More Representative Monitoring of Land-Use and Land-Cover Dynamics: The Use of a Sample-Based Assessment through Augmented Visual Interpretation Using Open Foris Collect Earth
title_sort	toward a more representative monitoring of land-use and land-cover dynamics: the use of a sample-based assessment through augmented visual interpretation using open foris collect earth
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/4bccd78a23e444ad83fc3076cf87105a
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Toward a More Representative Monitoring of Land-Use and Land-Cover Dynamics: The Use of a Sample-Based Assessment through Augmented Visual Interpretation Using Open Foris Collect Earth

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