Deadline: 02-Oct-2018 at 11:59:59 PM (Eastern Time – Washington D.C.)
Assignment Description: This assignment is to develop an operational multi-country flood monitoring platform allowing near real-time assessment of water extent and population affected. The loss estimation data produced will inform disaster risk management decisions as well as support the definition of insurance products for a quick response financing mechanism. The platform will be built on an architecture developed under an existing project led by the World Bank. It will re-use existing deliverables and will specifically aim at automating the processing and integration of satellite data into global hydromet models, as well as test assumptions and outputs against real life scenarios through intensive verification and validation work. All operational aspects will have to be addressed in order to produce a robust, automated and fully operational web-based system with a strong focus on risk transfer applications.
See full tender here:
Tender notification: # 1258863
Deadline: 04-Jun-2018 at 11:59:59 PM (Eastern Time – Washington D.C.)
- Identification of preliminary classification of land cover, development of list of spectral characteristics and a rout for field data collection for typical representatives of each class, in order to develop training data. Assess the learning and validation sample and data collection report for Kyiv oblast for Summer 2017. Preprocessing of available satellite imagery (radiometric calibration and correction, noise filtering, etc.) for the territory of Kyiv oblast for summer 2017 and 2018.
- Collection of training data and validation sample; establish spectral library for the categories of land cover in Kyiv oblast.
- Processing of satellite imagery (Sentinel-1, Sentinel-2, Landsat-8) for recognition of information on actual land use, development of descriptive statistics for the categories of land cover in Kyiv oblast, estimation of NDVI, identification of irrigated land.
Deadline: 14-Jun-2017 at 11:59:59 PM (Eastern Time – Washington D.C.)
IFC is looking for Consultant(s) that will combine remote sensing data and satellite imagery data with CDR/mobile phone data to develop computational models for poverty mapping and welfare estimation in small areas and at the household level. The assignment will start with exploring poverty mapping and welfare estimation with big data sets of mobile phone data (call detail records and mobile money transactions) in Uganda; followed by replication in another country context, possibly Ghana. Analysis will also incorporate survey data, where applicable, including household surveys conducted through other research activities