1 to 10 of 12 Results
Sep 19, 2024
Novoa Sheppard, Sidney; Becerra Zambrano, Milagros; Quispe Sedano, Marvin, 2024, "Monitoring of Gold Mining in the Peruvian Amazon – RAMI Alerts", https://doi.org/10.7910/DVN/UUM6IH, Harvard Dataverse, V1
Deforestation caused by gold mining in Peru has resulted in the loss of more than 100,000 hectares of primary forest in the last three decades. We estimate that, in the southern Peruvian Amazon, more than 30,000 hectares of forest will be lost to mining activities between 2021 and 2024. Those directly affected include mainly people living in indige... |
Dec 14, 2023
Becerra, Milagros; Rivera, Ovidio; Pawlak, Camila; Crocker, Alexandra; Pinto, Naiara, 2022, "Base de datos de cobertura de cultivos de cacao en la Amazonia Peruana", https://doi.org/10.7910/DVN/XMQNC2, Harvard Dataverse, V3
Polígonos de cacao en Perú, delineados con base en la interpretación de imágenes satelitales a partir de 2020. El enfoque está en zonas de producción de cacao como la provincia de Padre Abad en Ucayali. Los polígonos están clasificados de acuerdo con la composición (cacao puro o asociado con otras especies) y organización espacial (cacao abierto o... |
Dec 14, 2023
Fricker, Geoffrey; Nielsen, Kylee; Clark, Isabella; Davis, Jaxson; Bates, Sarah; Davis, Isabella; Pinto, Naira, 2022, "Palm Oil Polygons for Ucayali Province, Peru (2019-2020)", https://doi.org/10.7910/DVN/BSC9EI, Harvard Dataverse, V3
This is a feature class outlining Palm Oil Plantations in Ucayali Province in Peru. A small team of faculty and student researchers hand digitized polygons delineating palm oil plantations in Ucayali, Peru in support of SERVIR Amazonia goals. GIS experts used high-resolution (< 1 m) optical observations to identify areas of oil palm presence across... |
Dec 14, 2023
Caiza Morales,Lorena, 2023, "Monitoring of the mangrove ecosystem on the coastal of Ecuador during the period 2018-2022", https://doi.org/10.7910/DVN/RDTUZC, Harvard Dataverse, V1
SERVIR AMAZONIA is part of SERVIR Global, a joint development initiative between the National Aeronautics and Space Administration (NASA) and the United States Agency for International Development (USAID). As part of the SERVIR-Amazonia program, the EcoCiencia Foundation, as a local partner in Ecuador, signed a memorandum of understanding with the... |
Oct 31, 2023
Irigoyen, Marina, 2023, "Minería Ilegal, Pueblos Indígenas e Inequidades de Género en Madre de Dios (Perú)", https://doi.org/10.7910/DVN/8AN1PL, Harvard Dataverse, V2
(English below) El estudio Minería ilegal, pueblos indígenas e inequidades de género en Madre de Dios, a cargo de la Mag. Marina Irigoyen Alvizuri, socióloga, asesora en género del Programa SERVIR-Amazonia, ha llevado a cabo un análisis de género que busca identificar, comprender y explicar los diferentes roles, carencias y oportunidades de hombres... |
Jun 2, 2023
Caiza Morales,Lorena, 2023, "Monitoring of the mangrove ecosystem in the province of Guayas-Ecuador during the period 2018-2022", https://doi.org/10.7910/DVN/FJDJSY, Harvard Dataverse, V1
Mangroves are highly productive ecosystems that provide important ecosystem services, are strategic allies in carbon capture and storage, conserve different plant and wildlife species, are producers of aquatic species such as crabs and shrimp, and local communities have developed strong economic, cultural and identity ties. Despite their great ecol... |
Mar 31, 2023
Martín-López, Javier M.; Jimenez, Wilmer; Calahorrano, Oscar; Caicedo Flaker, Juan D.; Mayesse, Da Silva, 2023, "Digital map of chemical fertility of soils of continental Ecuador", https://doi.org/10.7910/DVN/PHIQXV, Harvard Dataverse, V1
Digital tools are transforming and accelerating innovation in agriculture. Digital soil maps are important tools for better-informed decision-making supported by data and science. The maps permit addressing site-specific strategies needed by fertile and healthy soils to minimize the impacts of land use change, increase productivity without generati... |
Aug 12, 2022
Cooley, Savannah; Pinto, Naiara; White, Bella; Fricker, Andrew, 2022, "May the forest be with you: leveraging GEDI’s spaceborne lidar data for tropical ecosystem applications", https://doi.org/10.7910/DVN/7CBBAT, Harvard Dataverse, V1
Here, we provide an overview of the use of light detection and ranging (lidar) for tropical ecosystem applications, with a particular focus on the Global Ecosystem Dynamics Investigation (GEDI). We summarize how data from GEDI measures vegetation vertical structure and give a step-by-step description of how to obtain spatially-subset GEDI Level 2A... |
Jun 29, 2022
Twyman, Jennifer; Acosta, Mariola; Irigoyen, Marina, 2022, "Género en la Amazonía potencial de los sistemas geoespaciales para enfrentar las inequidades de género: Un estudio en el marco del Programa SERVIR-Amazonia", https://doi.org/10.7910/DVN/NHVNB7, Harvard Dataverse, V1
Examinar las dinámicas de género en cada región y contexto es importante para asegurar que los procesos y proyectos de desarrollo que utilizan servicios geoespaciales sean inclusivos, alcancen y beneficien con éxito a mujeres y hombres de diferentes orígenes. En particular, es fundamental revisar los roles y las diferencias de género en el acceso y... |
Mar 8, 2022 - Harvard Dataverse
Reygadas, Yunuen, 2022, "Annual forest cover conditions across the Southwestern Amazon, 2003-2021", https://doi.org/10.7910/DVN/ZONVWJ, Harvard Dataverse, V2
A Landsat-based machine learning algorithm (Reygadas et al. 2021, Environmental Research Communications) adapted from Wang et al. (2019, Remote Sensing of Environment) to the Southwestern Amazon was used to map intact forest, degradation, and deforestation in this region on a yearly basis during the 2003-2021 period. Degradation is defined as a lon... |