Remote Sensing

Remote sensing involves acquiring information about Earth’s surface using satellites, UAVs, and airborne sensors.

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🛰️ Types of Remote Sensing

1. Optical Remote Sensing

Visible, NIR, SWIR imaging.

2. Microwave Remote Sensing

SAR, radiometers.

3. Thermal Remote Sensing

Heat emissions, temperature mapping.

4. Hyperspectral

High-resolution spectral analysis.

5. LiDAR

Light detection for 3D terrain mapping.

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🔧 Open-Source Remote Sensing Tools

Google Earth Engine (GEE)

Cloud-based satellite data processing platform.
🔗 https://earthengine.google.com

ESA SNAP Toolbox

Optical, radar, & atmospheric processing.
🔗 https://github.com/senbox-org/snap-engine

QGIS

Open-source GIS + plugins for RS.
🔗 https://qgis.org

Rasterio

Python raster processing.
🔗 https://github.com/rasterio/rasterio

RSGISLib

Remote sensing library for Python.
🔗 https://github.com/remotesensinginfo/rsgislib

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🌐 Remote Sensing Data Sources

USGS EarthExplorer

Landsat, DEMs, aerial data.
🔗 https://earthexplorer.usgs.gov

NASA EarthData

MODIS, VIIRS, ASTER, SMAP.
🔗 https://earthdata.nasa.gov

ESA Copernicus Hub (Sentinel 1–5)

Optical + radar datasets.
🔗 https://scihub.copernicus.eu

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🎥 YouTube Playlists

• Remote Sensing Tutorials
  🔗 https://www.youtube.com/results?search_query=remote+sensing+tutorial

• Earth Engine Data Analysis
  🔗 https://www.youtube.com/results?search_query=google+earth+engine+tutorial

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📘 Courses

• NASA ARSET Remote Sensing Training
  🔗 https://appliedsciences.nasa.gov/arset