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Deep Learning for Environmental Segmentation
Essentially, what we’re talking about is using a computer to look at images of the environment (like forests or cities) and figure out which…
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Deep Learning for Rapid Landslide Detection using Synthetic Aperture Radar (SAR) Datacubes
Well, let me explain it to you like I’m talking to my grandma who just got her first smartphone. First off, “Deep Learning” is…
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Deep Learning for Wildfire Detection using Sentinel-2 and ResNet-50
First, we have these satellites called Sentinel-2 that take pictures of the earth from space with a resolution of 10 meters per pixel! These…
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Satellite Flood Detection using Machine Learning
That’s where machine learning comes in! We use this fancy technology called “deep learning” to teach computers how to look at satellite images and…
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UNet for Deforestation Mapping using Sentinel-2 Level 2A Images
To do this, we’re going to train a neural network called UNet (short for “Upsampling Network”) on some labeled training data. This means feeding…
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Deep Learning for Forest Management
You could just go around and look at each tree individually, but that would take forever! Instead, what if we used Deep Learning? Deep…
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Deep Learning for Satellite Image Segmentation
Now, let me explain how this works in more detail with an example. Let’s say you have a satellite image of a city that…
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Satellite Image Semantic Segmentation using U-Net Deep Learning Model
First, what is semantic segmentation? It involves assigning each pixel of an input image with a specific label that represents an object or category…
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Semantic Segmentation for Land Use & Land Cover
This can be useful for all sorts of things like urban planning, agriculture management, and environmental monitoring. So how do we go about doing…
