Louis Reymondin
Biographic Data
| ID | 6320136 |
|---|---|
| NAME | Louis Reymondin |
| GIVEN NAMES | Louis |
| FAMILY NAME | Reymondin |
| SIGNATURE | REYMONDIN L |
| AFFILIATIONS | International Center for Tropical Agriculture |
| ORCID | 0000-0002-8022-9977 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Navigating the new EU deforestation regulation in the coffee industry
The coffee industry faces a critical juncture with the recent introduction of the European Union Deforestation Regulation (EUDR). This policy demands stringent traceability and reporting on deforestation risks associated with seven key globally traded commodities based on remote sensing. With a focus on coffee, this paper synthesizes insights from survey results, interviews, and engagement with operators placing coffee on the EU market, and an ex…
Assessing climate resilience in rice production
Satellite remote sensing (RS) and machine learning can be combined to develop methods for measuring the impacts of climate change on biomass and agricultural systems. From 2015 to 2023, we applied this approach in a critical earth observation-based evaluation of the Irrigation and Water Resources Management component of the Millennium Challenge Corporation’s Senegal Compact. This project, funded by the United States Agency for International Devel…
Looking beyond forest cover
While forest degradation rates and extent exceed deforestation in the Brazilian Amazon, less attention is given to the factors controlling its spatial distribution. No quantified correlation exists between changes of forest structure due to anthropogenic disturbances and dynamics of land use and cover change occurring at broader spatial levels. This study examines the influence of multi-scale landscape structure factors (i.e. spatial composition,…
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Looking beyond forest cover
While forest degradation rates and extent exceed deforestation in the Brazilian Amazon, less attention is given to the factors controlling its spatial distribution. No quantified correlation exists between changes of forest structure due to anthropogenic disturbances and dynamics of land use and cover change occurring at broader spatial levels. This study examines the influence of multi-scale landscape structure factors (i.e. spatial composition,…
Assessing climate resilience in rice production
Satellite remote sensing (RS) and machine learning can be combined to develop methods for measuring the impacts of climate change on biomass and agricultural systems. From 2015 to 2023, we applied this approach in a critical earth observation-based evaluation of the Irrigation and Water Resources Management component of the Millennium Challenge Corporation’s Senegal Compact. This project, funded by the United States Agency for International Devel…
Navigating the new EU deforestation regulation in the coffee industry
The coffee industry faces a critical juncture with the recent introduction of the European Union Deforestation Regulation (EUDR). This policy demands stringent traceability and reporting on deforestation risks associated with seven key globally traded commodities based on remote sensing. With a focus on coffee, this paper synthesizes insights from survey results, interviews, and engagement with operators placing coffee on the EU market, and an ex…
Deforestation (computer science (2 works) · Environmental Science (2 works) · Geography (2 works) · Production (economics (2 works) · Remote sensing (2 works) · African Botany and Ecology Studies (1 work) · Agriculture (1 work) · Agriculture and Rural Development Research (1 work) · Agroforestry (1 work) · Amazon rainforest (1 work)