LULC Satellite Image Classification Using Deep Learning: How to Train a Deep Learning Model in Colab

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In this video, we will learn together how to train a deep learning model for land use land cover classification using Sentinel-2 satellite data.

The code examples are available on our GitHub page:

The EuroSat dataset can be found in the following link:

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Please watch: "GeoSpatial Tutorial: What is Remote Sensing? Active and Passive Remote Sansing Sensors "
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Your videos are always so unique and creative. Keep up the great work!

Nightmare.
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Your videos are always a joy to watch. Thanks for the great content!

TomBiensia
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Your channel is truly a treasure trove of amazing content. Keep up the great work!

هاديهادي-وعم
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Your positive energy always shines through in your videos. Keep up the amazing work!

vloghung
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The information in this video is so helpful. Thank you for sharing!

amjedmehmood
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I love the way you explain things in your videos. So clear and easy to understand!

peruvian
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Felicidades por su video y muchas gracias por la enseñanza, saludos desde Perú

AlexAnticona
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Thank you for the insights.

Suppose I want to perform x-class classification using my own data, such as Sentinel-2. How do I modify this for my case?

explorethebeautyofnature
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I am a little confused here as to why you use binary cross entropy as the loss function because you are working on a multi-class classification dataset.

saleemullahbaig
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i don't really get it with this deep learning. so where is the result of classification? like the classification result that i saw in conventional software (arcmap, arcgis pro, qgis, etc)

CarnaFlower
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