Expression of Interest For Earth Observation Fundamentals For Resilience In The Caribbean

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77915895
0002007552
International Bank for Reconstruction and Development (IBRD)
Expression of Interest For Earth Observation Fundamentals For Resilience In The Caribbean
ICB
Caribbean
21-03-2024

Work Detail

Expression of Interest are invited for Earth Observation Fundamentals for Resilience in the Caribbean ISSUE DATE AND TIME: Mar 07,2024 20:36 CLOSING DATE AND TIME: Mar 21,2024 22:59 PROJECT BACKGROUND: The Caribbean faces increasing frequency and severity of natural disasters; causing significant damage to infrastructure and hindering recovery efforts. Limited government capacity in utilizing geospatial data exacerbates challenges in decision-making for resilient infrastructure and land allocation post-disaster. Theres a recognized need for improved data maintenance and training in advanced analytical models for better decision-making. This consultancy aims to address these issues by training government staff in GIS; remote sensing; and geospatial data science. This activity is part of the Digital Earth for a Resilient Caribbean Technical Assistance Project.2. OBJECTIVESThe firm will be responsible for designing and delivering a training program on the following topics:Remote Sensing (1.5 day training)Understand the applications of various types of remotely sensed data; based on the sensor; resolution; platform and other attributes.Learn how to access existing free global Earth Observation datasets including LANDSAT; MODIS and Sentinelperform basic analyses related to a problems or issues using freely available remote sensing data and applications; including: Perform analysis and visualization using QGIS.Data Science/Machine Learning (1.5 day training)Understand how Machine Learning can be used for feature analysis; identification; and classification. Understand how to use Python and Interactive notebooks to simplify and document processes and tools (such as this example) Perform basic analysis and visualisation of EO data using Python and Jupyter NotebooksApply Machine Learning models (in workshop practical sessions) developed by the World Bank / GFDRR team for the CaribbeanLiDAR (2 day training)Understand how LiDAR technology works and how it can be used to capture topographic and bathymetric information; including use cases and limitationsUnderstand how point clouds obtained from LiDAR and photogrammetry (e.g. drones) compare and how that relates to different usesUnderstand how to use common data products such as DTM; DSM; and contours to perform spatial analysis and support decision making with a focus on disaster risk reduction and risk assessmentUnderstand how LiDAR datasets can be made more accessible to different types of users The World Bank Group reserves the right to publicly disclose contract award information, including but not limited to, name of company receiving the award, brief description of services, and contract award amount, for any contract award valued over US$250,000. Offerors proposal and contractual documents will remain confidential and therefore not subject to disclosure. The World Bank Group values supplier diversity and encourages businesses owned by women, minorities, lesbian, gay, bisexual and transgender (LGBT) individuals, and people with disabilities to participate in this opportunity. Please indicate in the response if you meet one of these diverse categories and specify the certification body you utilize. Tender Link : http://www.worldbank.org/en/about/corporate-procurement/business-opportunities/administrative-procurement?order=desc

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