The need to customize and configure geospatial applications to meet project or user needs, including automating geospatial workflows and creating custom tools for data processing, management, analysis, modeling, visualization, and product generation.
Requirements
- Demonstrated experience in creating scripts (e.g., Python, JavaScript, ERDAS SML and EML, R, , etc.) for automated processing and analysis/modeling of geospatial data, including remote sensing datasets.
- Demonstrated expertise in preparing technical reports, technology transfer and geospatial training materials for technology evaluation, development, and production/operational projects.
- Demonstrated experience working with standard and disparate sources of airborne/satellite imagery types to assess, map, monitor, and inventory natural resources.
- Demonstrated ability to process, analyze, and model in enterprise geospatial software applications (e.g., ERDAS Imagine and Esri ArcGIS Pro) as well as open-source software packages.
Responsibilities
- Provide expert-level support to customize and configure geospatial applications to meet project or user needs.
- Applies scripting/programming languages within the application programming interfaces (APIs) native to commercial and/or open-source remote sensing/geospatial software applications to create automated/semi-automated geospatial workflows or custom tools for data processing and management, analysis, modeling, visualization and product generation.
Other
- Bachelor’s degree related to computer science, geography, GIS, remote sensing, or physical / biological / environment / natural resource discipline with substantive coursework in geospatial analysis and modeling, and five (5) years of work experience in geospatial analysis and programming.
- Graduate degree related to computer science, geography, GIS, remote sensing, or physical / biological / environment / natural resource discipline with substantive coursework in geospatial analysis and modeling, and three (3) years of work experience in geospatial analysis and programming.
- PhD degree related to computer science, geography, GIS, remote sensing, or physical / biological / environmental discipline, including emphasis or coursework in geospatial analysis and modeling, and one (1) year of relevant professional work experience in geospatial analysis and programming.
