Two (02) consultants: Remote sensing and Data analyst

  • Contract
  • Remote
  • TBD USD / Year
  • Salary: TBD

Asian Disaster Preparedness Center

Purpose and Objectives:

Asian Disaster Preparedness Center (ADPC) is an autonomous international organization that works to build the resilience of people and institutions to disasters and climate change impacts in Asia and the Pacific. ADPC currently implements the project “Myanmar Agricultural Crop Yield Estimation” to use remotely sensed data and statistics to estimate the yields of several crop types in Myanmar when access on the ground and to authentic data are limited. The agriculture sector has traditionally been Myanmar’s main industry, employing over half of the labor force. Rice is the most important agricultural commodity of Myanmar. The Ayeyawady, Bago and Yangon regions of Myanmar make up almost half of the country’s harvested rice area. Crop yield forecasting is important for assessing national food security and to provide timely information for the optimum management of growing crops. Accurate and real- time crop yield forecasting is becoming essential for planners, policymakers, and practitioners in decision-making. The conventional methods used for yield estimation are time-consuming, resource-intensive, labor-intensive, and prone to errors. State-of-the-art advanced technology such as, remote sensing, can help assess vegetation parameters, crop vigor and yield estimation based on vegetation status due to the availability of high quality spatial and temporal information about land surface features including environmental changes which impact crop growth conditions. Myanmar requires the rapid development of crop mapping and crop production estimates in 2022 for the country for food security planning and policy making, using methods that do not require field work.

Expected Outputs:

The following outputs are expected from the assignment:

1. Seasonal satellite image composite for 11 states in Myanmar (included Sentinel 1, Sentinel 2, Landsat 8 and Landsat 9)

2. Dataset for training and validate the rice and maize model

3. Map of monsoon rice 2022 at state level in Myanmar

4. Map of maize for Shan state in 2021 and 2022

Responsibilities and Tasks:

1. Analysis time series of climate variables which related to the crop growing condition in Myanmar

2. Collect training data and build model in Google Earth Engine for rice and other crop mapping in 2022

3. Collect validation data and conduct accuracy assessment for the crop map product

4. Estimate area of rice and crop with uncertainty assessment

5. Review and provide technical input for the reports

Working Principles:

The consultant will report to the Director of Climate Resilience. The contract will be managed by the Climate Resilience Department of ADPC.

Qualifications:

The consultant is expected to possess the following qualifications.

1. At least Bachelor degree in Geosciences, environmental management, agriculture development or related

2. Fluent English writing and communications skills

3. Strong programming skills, experience working with Google Earth Engine

4. Enthusiastic for research and a good collaborator

Duty Station:

Home-based

Duration:

This assignment will be for 5 months, from 01 November 2022 to 31 March 2023

Condition of payment:

Payment will be made monthly, as agreed by the consultant and ADPC.

How to apply

How to apply:

Interested Candidates can submit the completed ADPC application form, (downloadable from www.adpc.net or ADPC Website), resume, and copy of degrees/certificate(s) together with a cover letter, to: [email protected]

Female candidates are especially encouraged to apply.

ADPC encourage diversity in its workplace and support an inclusive work environment.

Note: Applicant who submits incomplete documents required as listed above will not be considered.


Closing date: 13-Oct-22