Transforming the Measurement of Greenhouse Gas Emissions in Rice Cultivation

In an innovative development for monitoring greenhouse gases in agriculture, the project "Satellite Monitoring of Methane in Latin American Rice Regions" is testing two technologies that will transform GHG measurement in rice cultivation.

Context of the story

Large-scale verification of inventories and mitigation strategies presents a challenge due to the wide spatial distribution and variety of agroecological factors that affect the methane emission footprint of rice cultivation. Verifications have mainly focused on methods based on closed chambers and the Eddy Covariance technique. These methodologies are laborious and can only be applied on a small scale, up to a few meters. Additionally, Eddy Covariance techniques are difficult to implement due to the cost and complexity of the instruments used.

The implemented initiative

The main objective of the project is to strengthen regional capacities for monitoring, reporting, and verification of methane emissions in rice ecosystems through a satellite tool that provides frequent, reliable, and free estimates to the rice community and governments. This project, in turn, has three specific objectives: i) to design AI models based on satellite information to estimate methane emissions in rice ecosystems, ii) to validate the models using field samples acquired in rice regions with contrasting ecosystems and iii) to develop a web platform with open access to the data and knowledge generated within the framework of this project.

The technological solution

The implemented technological solution is based on the use of satellite sensors to monitor methane (CH4) emissions in rice cultivation systems. Satellites have the potential to provide reliable and free data that can be used to analyze spatiotemporal changes at different spatial scales, including regions and countries. The project aims to strengthen regional capabilities for monitoring and verifying these emissions by integrating field data obtained from novel methane sensors with satellite data. The validation results will be presented on a freely accessible web platform, benefiting rice communities and governments by providing frequent, reliable, and free methane emission estimates. This technological solution will contribute to formulating policies to mitigate greenhouse gas emissions and enhance climate resilience among rice farmers in target countries.

"What is not measured, cannot be improve"
William Thomson Kelvin

Results

1. Standardization of two new methodologies for measuring methane data in rice ecosystems.
2. 260 users trained in new technologies for measuring methane in rice cultivation.
3. A web platform prtotype that will be open access for the entire rice-growing community and governments.

Technological solutions
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Technological solutions
Correlation with the traditional method
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Correlation with the traditional method
Time Reduction
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Time Reduction
Protocol
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Protocol
AI models
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AI models
Web platform
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Web platform
Workshops
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Workshops
Number of beneficiaries
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Number of beneficiaries

Participating Organizations

Instituto Nacional de Investigación Agropecuaria (INIA) - Uruguay
Universidad Nacional Agraria La Molina (UNALM) - Perú
Conagro Semillas, S.A. (CONAGRO) - Panamá
Fondo Latinoamericano para Arroz de Riego  (FLAR) - Colombia
Otago University (Otago University) - Nueva Zelanda
The United States Department of Agriculture  (USDA) - Estados Unidos
Instituto Interamericano de Cooperación para la Agricultura (IICA) - Costa Rica

Main donors

Global Methane Hub  (Global Methane Hub ) - Nueva Zelanda
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