Sr. Remote Sensing Analyst

Qualification:

Master Degree in Remote Sensing or Geo-informatics or other related discipline with at least 4 years’ relevant work experience of application of Remote Sensing and GIS in agriculture

Key Responsibilities:

· Contribute to developing, testing and validating innovative remote sensing-based methods (using SAR, thermal, multispectral remote sensing sensors) to identify rice-based cropping systems and management practices.

· Support activities for, identifying and characterizing rice fallow and stress prone areas (flood, drought and salinity)

· Support in design and coordinate/implement strategies for ground data collection, data analysis and validation of geospatial outputs.

· Contribute to the writing of reports, and other communication material.

· Support multiple experiments/surveys and research projects as instructed by the supervision team.

· Integrate remote sensing data with other relevant data sources, such as weather data, soil information, and crop management records

· Evaluate quality of input data, integration of different kinds of spatial and non-spatial datasets; manage and maintain database

· Support in timely proximal data collection from in-house experiments plots using relevant devices (including drone) on regular intervals.

· Able to travel at the project and other required sites, whenever required.

· Inform regularly the immediate supervisor on the progress achieved of satellite image processing, analysis and GIS based activities

· Work closely with project team members to ensure full understanding of the scope, priorities, and deadlines of the activities.

· Prioritise tasks, meet deadlines and manage multiple outputs simultaneously.

· Assist project leaders and/or collaborating partners to harmonise the undertakings of the team(s).

· Ability to collaborate with interdisciplinary teams, including field technicians, agronomists, and researchers.

· In conjunction with the team leads, support planning, surveying and coordinating the materials and resources required to meet the research objectives of the group.

· Collect and store data generated from the analytics

· Support in the development work plans, milestones and implementation of research

· Support in preparing and assuring project reports and research publications.

Skills Required:

· Technical proficiency in remote sensing and GIS with proven skills mainly in vegetation phenology, crop type mapping, land use and land cover change, crop management and characterization, and database management.

· Proficiency in remote sensing image processing, Google Earth Engine, R, GIS software’s (e.g., ArcGIS, QGIS), and data analysis tools (e.g., ENVI, ERDAS, SNAP and Geomatics)

· Strong understanding of agricultural practices, crop physiology, plant health, and relevant agricultural parameters.

· Able to handle, process, and visualise large spatial vector and gridded, datasets (e.g., Weather datasets and climate forecasts)