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I’m looking to work with a tutor who can walk me through the practical side of remote sensing. My main focus is on: • Image analysis • Satellite data interpretation • GIS and mapping I’d like our sessions to be interactive and project-oriented, using real datasets wherever possible so that I can immediately apply what I learn. Screen-sharing, step-by-step demonstrations, and short assignments between meetings will help me solidify the concepts, so please be comfortable structuring the lessons that way. You’re free to recommend the most suitable software—whether it’s QGIS, ArcGIS, ENVI, Google Earth Engine, or Python libraries such as rasterio and GDAL—as long as you can guide me through installation, workflow, and best practices. Clear explanations, recorded sessions (if possible), and concise hand-outs or code snippets after each lesson will be greatly appreciated. We can discuss the pace, schedule, and total number of hours once we connect. If you have teaching experience or can share examples of past student successes, let me know—I’m eager to get started.
Project ID: 40403604
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Active 5 days ago
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5 freelancers are bidding on average ₹27,850 INR for this job

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₹35,000 INR in 15 days
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Week 1: Getting You Comfortable with Tools & Data Setup and guided walkthrough of QGIS and Google Earth Engine Understanding satellite data (Sentinel, Landsat) in a simple, practical way Downloading and visualizing real datasets Basic preprocessing (band combinations, clipping your area of interest) Outcome: You’ll be able to open, explore, and prepare satellite data independently. Week 2: Building Strong Analysis Skills Creating useful indices like NDVI (vegetation) and NDWI (water) Raster calculations and data extraction Step-by-step land use/land cover classification Outcome: You’ll start analyzing satellite imagery and extracting meaningful insights. Week 3: GIS Mapping & Advanced Workflows Creating clean, professional maps (legend, layout, styling) Spatial analysis (buffer, overlay, queries) Introduction to cloud-based analysis using Google Earth Engine Outcome: You’ll be able to create maps and perform real-world GIS analysis. Week 4: Real Project + Automation Complete end-to-end project (data → analysis → final map) Introduction to Python for basic automation (rasterio/GDAL) Final project + review and feedback Outcome: You’ll complete a real project you can showcase in your portfolio. What You Can Expect from Me Live, interactive sessions with screen sharing Step-by-step guidance (no assumptions about prior experience) Short assignments to reinforce learning Recorded sessions (if needed) Notes + code snippets after each class
₹20,000 INR in 30 days
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Meerut, India
Member since Apr 28, 2026
$10-30 USD
₹600-1500 INR
₹12500-37500 INR
$30-250 USD
$25-50 USD / hour
$10-30 USD
£10-11 GBP
$30-250 NZD
₹600-800 INR