Assessment of Innovative Technologies and Their Readiness for Remote Sensing-Based Estimation of Forest Carbon Stocks and Dynamics
In 2005, the parties to the United Nations Framework Convention on Climate Change (UNFCCC) began to formally set up a framework for financially incentivizing emissions reduction due to deforestation and forest degradation through conservation, the...
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World Bank, Washington, DC
2021
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| Online Access: | http://documents.worldbank.org/curated/en/305171624007704483/Assessment-of-Innovative-Technologies-and-Their-Readiness-for-Remote-Sensing-Based-Estimation-of-Forest-Carbon-Stocks-and-Dynamics http://hdl.handle.net/10986/35806 |
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okr-10986-358062021-06-23T05:11:24Z Assessment of Innovative Technologies and Their Readiness for Remote Sensing-Based Estimation of Forest Carbon Stocks and Dynamics World Bank FOREST MANAGEMENT ENVIRONMENTAL SUSTAINABILITY GREENHOUSE GAS EMISSIONS CLIMATE CHANGE FOREST CARBON STOCKS REMOTE SENSING In 2005, the parties to the United Nations Framework Convention on Climate Change (UNFCCC) began to formally set up a framework for financially incentivizing emissions reduction due to deforestation and forest degradation through conservation, the sustainable management of forests, and enhancement of forest carbon (C) stocks in developing countries. Forest-related greenhouse gas (GHG) emissions, emission reductions, and enhanced removals (carbon sequestration) are estimated by measurement, reporting, and verification (MRV) systems, usually based on a combination of remote sensing data, field or in situ measurements, and modeling approaches. Under the UNFCCC, the lack of consistency limits the comparability between countries and makes the reconciliation of national reports and global estimates that are needed for the 2023 Global Stocktake under the Paris Agreements difficult. Moreover, the ongoing costs of MRV systems can be high, while the accuracy of the estimates is often low, and thus not able to unlock the full potential of climate finance. In this context, the World Bank launched a study to assess the readiness of various innovative technologies. The study began with a review of the current and potential innovative technologies in order to gain a comprehensive understanding of the readiness of these technologies, and the challenges to rolling out their implementation. As a result, a set of the main technological challenges, and recommendations for overcoming them, were identified. 2021-06-22T17:46:18Z 2021-06-22T17:46:18Z 2021-06 Report http://documents.worldbank.org/curated/en/305171624007704483/Assessment-of-Innovative-Technologies-and-Their-Readiness-for-Remote-Sensing-Based-Estimation-of-Forest-Carbon-Stocks-and-Dynamics http://hdl.handle.net/10986/35806 English CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Economic & Sector Work Economic & Sector Work :: Other Environmental Study |
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Digital Repository |
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Foreign Institution |
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Digital Repositories |
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World Bank Open Knowledge Repository |
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World Bank |
| language |
English |
| topic |
FOREST MANAGEMENT ENVIRONMENTAL SUSTAINABILITY GREENHOUSE GAS EMISSIONS CLIMATE CHANGE FOREST CARBON STOCKS REMOTE SENSING |
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FOREST MANAGEMENT ENVIRONMENTAL SUSTAINABILITY GREENHOUSE GAS EMISSIONS CLIMATE CHANGE FOREST CARBON STOCKS REMOTE SENSING World Bank Assessment of Innovative Technologies and Their Readiness for Remote Sensing-Based Estimation of Forest Carbon Stocks and Dynamics |
| description |
In 2005, the parties to the United
Nations Framework Convention on Climate Change (UNFCCC)
began to formally set up a framework for financially
incentivizing emissions reduction due to deforestation and
forest degradation through conservation, the sustainable
management of forests, and enhancement of forest carbon (C)
stocks in developing countries. Forest-related greenhouse
gas (GHG) emissions, emission reductions, and enhanced
removals (carbon sequestration) are estimated by
measurement, reporting, and verification (MRV) systems,
usually based on a combination of remote sensing data, field
or in situ measurements, and modeling approaches. Under the
UNFCCC, the lack of consistency limits the comparability
between countries and makes the reconciliation of national
reports and global estimates that are needed for the 2023
Global Stocktake under the Paris Agreements difficult.
Moreover, the ongoing costs of MRV systems can be high,
while the accuracy of the estimates is often low, and thus
not able to unlock the full potential of climate finance. In
this context, the World Bank launched a study to assess the
readiness of various innovative technologies. The study
began with a review of the current and potential innovative
technologies in order to gain a comprehensive understanding
of the readiness of these technologies, and the challenges
to rolling out their implementation. As a result, a set of
the main technological challenges, and recommendations for
overcoming them, were identified. |
| format |
Report |
| author |
World Bank |
| author_facet |
World Bank |
| author_sort |
World Bank |
| title |
Assessment of Innovative Technologies and Their Readiness for Remote Sensing-Based Estimation of Forest Carbon Stocks and Dynamics |
| title_short |
Assessment of Innovative Technologies and Their Readiness for Remote Sensing-Based Estimation of Forest Carbon Stocks and Dynamics |
| title_full |
Assessment of Innovative Technologies and Their Readiness for Remote Sensing-Based Estimation of Forest Carbon Stocks and Dynamics |
| title_fullStr |
Assessment of Innovative Technologies and Their Readiness for Remote Sensing-Based Estimation of Forest Carbon Stocks and Dynamics |
| title_full_unstemmed |
Assessment of Innovative Technologies and Their Readiness for Remote Sensing-Based Estimation of Forest Carbon Stocks and Dynamics |
| title_sort |
assessment of innovative technologies and their readiness for remote sensing-based estimation of forest carbon stocks and dynamics |
| publisher |
World Bank, Washington, DC |
| publishDate |
2021 |
| url |
http://documents.worldbank.org/curated/en/305171624007704483/Assessment-of-Innovative-Technologies-and-Their-Readiness-for-Remote-Sensing-Based-Estimation-of-Forest-Carbon-Stocks-and-Dynamics http://hdl.handle.net/10986/35806 |
| _version_ |
1764483814761955328 |