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GIS & Remote Sensing Projects
This is a series of GIS and Remote Sensing projects designed to build foundational-to-advanced geospatial analysis skills. These projects replicate real-world applications in urban planning, agriculture, environmental monitoring, and climate science.
Learners gain experience in satellite data processing, spatial analytics, land surface temperature computation, vegetation indices, and climate impact modeling.
These projects prepare learners for roles in geospatial analytics, GIS development, environmental monitoring, sustainable planning, and climate research.

GIS & Remote Sensing Projects

₹2,000.00Price

  • Foundation Level Projects: Urban Heat Island (UHI) Analysis

    Project Summary

    The Urban Heat Island Analysis Project focuses on understanding how built-up areas experience higher temperatures compared to rural surroundings.
    Learners use satellite data (Landsat, MODIS) to compute land surface temperature (LST), classify land cover, and analyze temperature variations across urban zones.

    Medium Level Project:  Precision Agriculture Monitoring System

    Project Summary

    The Precision Agriculture Monitoring System project focuses on using remote sensing datasets to monitor crop health, soil moisture, and vegetation stress.
    Learners build a GIS-based platform that integrates multispectral satellite imagery, NDVI/EVI indices, and field boundaries to assist farmers in making data-driven agricultural decisions.

    Advanced Level Project: Climate Change Impact Assessment Platform

    Project Summary

    The Climate Change Impact Assessment Platform integrates multiple environmental datasets to analyze climate-driven changes in temperature, precipitation, land cover, and hydrological systems.
    Learners build a GIS-based analysis platform that supports long-term climate modeling, vulnerability assessment, and impact forecasting.

    The project includes processing historical climate datasets, performing change detection, integrating hazard maps, and generating decision-support outputs for policymakers.

     

    Ideal for GIS Analyst, Remote Sensing Specialist, Environmental Data Scientist, and Climate Research positions.

     

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