Search Results - Engineering Management.

  1. A machine learning algorithm for mapping small reservoirs using Sentinel-2 satellite imagery in Google Earth Engine by Siabi, Ebenezer K., Akpoti, Komlavi, Zwart, Sander J.

    Published 2023
    “…This methodology supports effective water resource management and the CGIAR Initiative on Aquatic Foods’ goals for food security and sustainable aquaculture in Northern Ghana.…”
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    Informe técnico
  2. Cover and land use changes in the dry forest of Tumbes (Peru) using sentinel-2 and google earth engine data by Barboza Castillo, Elgar, Salazar Coronel, Wilian, Gálvez Paucar, David, Valqui Valqui, Lamberto, Saravia Navarro, David, Gonzales, Jhony, Aldana, Wiliam, Vásquez Pérez, Héctor Vladimir, Arbizu Berrocal, Carlos Irvin

    Published 2023
    “…The application of GEE allowed for an evaluation of the changes in forest cover and land use in the dry forest, and from this, it provided important information for the sustainable management of this ecosystem…”
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    Objeto de conferencia
  3. GEE Training Manual on Use of Earth Observation data and Google Earth Engine monitoring and early warning of floods and droughts in Zambia by Ghosh, Surajit, Alahacoon, Niranga, Amarnath, Giriraj

    Published 2022
    “…This training manual supported participants in learning the pre-processing tool to provide the user with enhanced time-series processing capabilities and access to various open-source satellite data, learning basic scripts in Google Earth Engine for activities related to floods and drought in showcasing the application of water resource management. …”
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    Informe técnico
  4. An analysis of the rice-cultivation dynamics in the lower Utcubamba river basin using SAR and optical imagery in Google Earth Engine (GEE) by Medina Medina, Angel James, Salas López, Rolando, Zabaleta Santisteban, Jhon Antony, Tuesta Trauco, Katerin Meliza, Turpo Cayo, Efrain Yury, Huaman Haro, Nixon, Oliva Cruz, Manuel, Gómez Fernández, Darwin

    Published 2024
    “…Thus, optical and SAR data offer excellent integration to address the information gaps between them, are of great importance to obtaining more robust products, and can be applied to improving agricultural production planning and management.…”
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    Artículo
  5. Risk assessment of gene flow from genetically engineered virus resistant cassava to wild relatives in Africa: an expert panel report by Hokanson, K.E., Ellstrand, N.C., Dixon, A., Kulembeka, H.P., Olsen, K.M., Raybould, A.

    Published 2016
    “…The probability and consequences of gene flow to wild relatives is typically considered in the environmental risk assessment of genetically engineered crops. This is a report from a discussion by a group of experts who used a problem formulation approach to consider existing information for risk assessment of gene flow from cassava (Manihot esculenta) genetically engineered for virus resistance to the ‘wild’ (naturalized) relative M. glaziovii in East Africa. …”
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    Journal Article

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