Geog136 Lecture 11.1 Remote sensing basics

[@abhinavchitturi7421]

🎯 Key Takeaways for quick navigation:
00:00 🌍 Remote sensing basics and image classification will be discussed in this lecture.
02:54 🌐 Remote sensing relies on the electromagnetic spectrum, including visible and infrared wavelengths.
05:27 📷 Remote sensing uses sensors, which are like cameras, to measure radiation in specific wavelength bands.
07:03 📊 Sensor data is converted into digital numbers, creating raster images with brightness values.
09:08 🛰️ Landsat satellites have multiple bands to capture reflectance in various parts of the electromagnetic spectrum.
13:45 🔵 Combining different bands in remote sensing software creates various types of color composites for visualization.
18:43 🌿 Band combinations and indices help highlight specific features and phenomena in remote sensing imagery.
23:12 🌱 NDVI (Normalized Difference Vegetation Index) is a commonly used index in remote sensing that ranges from -1 to 1, indicating the presence and health of vegetation.
24:05 📊 NDVI is calculated by comparing the reflectance in the near-infrared (NIR) and red bands, emphasizing differences in vegetation health and density.
26:21 💧 Other indices, like NWI (Normalized Difference Water Index) and MSAVI (Modified Soil Adjusted Vegetation Index), are used to assess water and soil characteristics in remote sensing.

[@aswajiths952]

Well explained and interesting to hear.

[@vistorinaamputu4682]

So clear and well explained. Thank you 🤓

[@hm.91]

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[@shreyanmaharaj7057]

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[@santikaia]

Well explained. This was such a great help
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[@steeldoorsentrepreneurs.196]

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[@oumarjaffar4605]

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[@kotelonkunyane8438]

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[@micheleboulogne7912]

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[@ragavendra77]

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[@Divine_QVerses]

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[@ImranAli-nm8fc]

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