Remote Sensing Imagery Analysis & Processing

To prepare, process, and analyze remote sensing imagery for specific applications, ensuring data accuracy and quality visualization to support decision-making for a remote sensing platform. Scope of Work: The freelancer will be responsible for the following tasks: Data Collection and Preparation - Identify and acquire suitable remote sensing imagery from public or licensed sources (e.g., Sentinel, Landsat, MODIS, etc.). - Process raw satellite data into usable formats (e.g., orthorectification, georeferencing, radiometric corrections). - Apply spectral indices (e.g., NDVI, NDWI, NDBI, NDMI) for specific applications (e.g., crop health monitoring, urban sprawl detection, greenhouse gas tracking). Generate thematic maps, visualizations, and overlays for specific geographical and time scopes. - Annotate images to highlight key features (e.g., unauthorized activities, border monitoring). - Perform analysis to extract actionable insights based on provided objectives. - Compare findings with global benchmarks or historical data when applicable. Deliverables: - Pre-processed imagery for the agreed-upon scope and timeframe. - Geospatial data visualizations (e.g., heatmaps, concentration maps). - Analytical report summarizing key insights and recommendations. - Raw data files, processed images, and GIS project files. Project Specifications: Preferred Tools: QGIS, ArcGIS, or other mutually agreed-upon software. Communication and Updates Skills Required: - Proficiency in remote sensing and GIS tools. - Strong understanding of satellite data processing and analysis. - Familiarity with environmental, urban, or industrial monitoring use cases.