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Automated Detection of Reservoirs and Dam Bodies Tender - 35854822

The WORLD BANK GROUP has issued a Tender notice for the procurement of a Automated Detection of Reservoirs and Dam Bodies Using Satellite Images and Estimation of Dam Deformations with Interferometry Synthetic Aperture Radar (Insar) in Angola in the Angola. This Tender notice was published on 03 Sep 2019 and is scheduled to close on 18 Sep 2019, with an estimated Tender value of Refer Document. Interested bidders can access detailed Tender information, eligibility criteria, and complete bidding documents by referencing TOT Ref No. 35854822, while the tender notice number is 1264334 and Registering on the platform.

Expired Tender

Procurement Summary

Country: Angola

Summary: Automated Detection of Reservoirs and Dam Bodies Using Satellite Images and Estimation of Dam Deformations with Interferometry Synthetic Aperture Radar (Insar) in Angola

Deadline: 18 Sep 2019

Posting Date: 03 Sep 2019

Other Information

Notice Type: Tender

TOT Ref.No.: 35854822

Document Ref. No.: 1264334

Competition: ICB

Financier: World Bank (WB)

Purchaser Ownership: -

Tender Value: Refer Document

CPV Classification

31642000 - Electronic detection apparatus

Purchaser's Detail

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Tender Details

Expression of Interest are invited for Automated Detection of Reservoirs and Dam Bodies Using Satellite Images and Estimation of Dam Deformations with Interferometry Synthetic Aperture Radar (Insar) in Angola.
Expression of Interest Deadline
18-Sep-2019 at 11:59:59 PM (Eastern Time – Washington D.C.)
Language of Notice
English
Selection Notice
Assignment Country
· AO - Angola
Funding Sources
The World Bank Group intends to finance the assignment/services under:
· BB - BANK BUDGET
· TF022314 - PHRD-JAPAN/BANK PARTNERSHIPS.
Individual/Firm
The consultant will be a firm.
Assignment Description
REQUEST FOR EXPRESSIONS OF INTEREST

The World Bank

Disruptive Technologies for Detecting Dams and Determining Deformations
Consultancy Services for

Automated Detection of Reservoirs and Dam Bodies Using Satellite Images and Estimation of Dam Deformations with Interferometry Synthetic Aperture Radar (InSAR) in Angola
The Disruptive Technologies for Development (DT4D) initiative of the World Bank aims to provide innovative solutions to development agenda through the use of state-of-art technologies. Disruptive Technologies for Detecting Dams and Determining Deformations is one of the pilot projects implemented under DT4D.

Given the situation that there are more than 300 dams in Angola and that most of the small- and medium-sized dams are not registered nor properly managed by the government, the objective of this consultancy services is to develop and validate open-source semi-automated algorithms to: (1) Detect artificial reservoirs, and identify basic dam properties (geometry, size, type of dam) and delineate the dam bodies attached to the reservoirs as shape file using satellite remote sensing and GIS; and (2) Test and systematize the use of Interferometry Synthetic Aperture Radar (InSAR) to detect millimeter-scale deformations in dams in Angola. The scope of the consultancy services shall include but not limited to the following:

1-1: Preparation of training data

1-2: Selection of analytical algorithms

1-3: Elaboration of selected method using the pilot sites

1-4: Full implementation for the entire Angola

2-1: Test InSAR technology on Angolan Dams

2-2: Systematize the approach

2-3: Operationalize the approach

The consultancy contract period is expected to be about 5 months.

The World Bank now invites eligible consulting firms (Consultants) to indicate their interest in providing the services. Interested Consultants should provide information demonstrating that they have the required qualification and relevant experience to perform the services through World Bank Group eConsultant2: https://wbgeconsult2.worldbank.org/wbgec/index.html.

Consultants are requested to limit the number of full CVs included in their EOI documents to no more than 3 key individuals who will be likely to feature prominently in any potential subsequent offer during the RfP stage.

The short list criteria are:

Experience in water body mapping and monitoring using remote sensing, and in developing and applying low-cost methodologies to use remotely sensed data for earth observation;

Experience in the use of InSAR to detect deformations in built infrastructure, preferably dams;

Experience in working in sub-Sahara Africa region or similar developing country context is an added advantage

Consultants should provide information such as their roles in executing the above services whether as a sole provider or a partner in a joint venture indicating percentage by value of its share of services provided; provide details of scope of services of each assignment to demonstrate suitability for this assignment. Statements of related assignments completed in the last five years. Consultants may associate with other firms in the form of a joint venture or a sub-consultancy to enhance their qualification.
Attachments
· Optional TOR File
Qualification Criteria
· 1. Provide information showing that they are qualified in the field of the assignment. *
· 2. Provide information on the technical and managerial capabilities of the firm. *
· 3. Provide information on their core business and years in business. *
· 4. Provide information on the qualifications of key staff. *
* - Mandatory
Shortlisted consultants will be invited to respond to a Request for Proposal. Contract awards will be made in accordance with the World Bank Group Procurement Policies and Procedures.

Documents

 Tender Notice


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