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H-GAC - Houston, TX

posted 7 days ago

Remote - Houston, TX
Social Assistance

About the position

We are seeking a skilled Remote Sensing Analyst to join our dynamic team. This role focuses on image processing, data analysis, and modeling from aerial, satellite, and radar imageries, as well as LiDAR data. The ideal candidate will have a strong background in remote sensing and be proficient in LiDAR processing and deep-learning image analysis.

Responsibilities

  • Develop methodologies for data development, analysis and modeling from remote sensing and geospatial data, including land cover classification, vegetation analysis, hydrology, and urban planning applications.
  • Process and analyze large area aerial, satellite, and radar imagery to extract relevant features and information.
  • Handle and process regionwide LiDAR data to classify point clouds, create detailed 3D models and extract meaningful spatial information.
  • Integrate remote sensing data with GIS platforms to create comprehensive spatial datasets.
  • Collaborate with a diverse team of experts in a supportive and dynamic work environment.

Requirements

  • Degree in Geography, Remote Sensing, GIS, Geoinformatics, Environmental Science, or a related field.
  • Proficient in remote sensing software such as ENVI, ERDAS Imagine, TerrSet, LP360 and LiDAR processing tools.
  • Strong skills in GIS software such as ArcGIS Pro.
  • Experience with programming languages such as Python and R for automating data processing and analysis workflows.
  • Experience in remote sensing analysis, including experience with aerial imagery, satellite imagery, radar and LiDAR data.
  • Strong analytical and problem-solving skills.
  • Excellent verbal and written communication skills.
  • Meticulous attention to detail.

Nice-to-haves

  • Master's degree in Geography, Remote Sensing, GIS, Environmental Science, or a related field.
  • Experience with advanced machine learning techniques for remote sensing data analysis.
  • Certification in remote sensing or GIS.
  • Familiarity with scripting languages such as Python or R for automating data processing tasks.
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