Cloud masking of Sentinel-2 product using SNAP

Sentinel-2 Cloud Cover Got You Down? SNAP to the Rescue! Sentinel-2 imagery is a game-changer for anyone working with Earth observation data. Seriously, the high-resolution and multi-spectral capabilities are incredible. But let’s be honest, clouds can be a real pain. They get in the way, obscure the surface, and basically throw a wrench in your

Regional random sampling

Regional Random Sampling: Getting the Lay of the Land Ever tried to figure out what a whole group of people thinks without actually talking to everyone? That’s where sampling comes in. And when you’re dealing with people or things spread out across a big area, regional random sampling can be a lifesaver. It’s all about

Converting from Lat/Lon (WGS84) to Mercator (UTM)

Cracking the Code: From GPS Coordinates to Real-World Maps (and Back Again!) Ever wondered how your phone knows exactly where you are, or how those fancy online maps pinpoint locations with such precision? A big part of the magic lies in understanding different ways of describing places on our planet. Two common systems you’ll stumble

Using Mapbox tiles with folium

Level Up Your Maps: Ditching the Default with Mapbox Tiles in Folium Okay, so you’re using Folium, right? Awesome! It’s a seriously cool Python library that lets you whip up interactive maps like a pro. You can take your data, throw it on a map, and bam, instant visualization. But let’s be honest, the default

A way to generate random/fake sensor data

Fake It Till You Make It: Generating Realistic Sensor Data Let’s face it: real-world sensor data isn’t always easy to come by. Maybe you’re building the next big IoT app, but your sensors are still on order. Or perhaps you need to stress-test your system with scenarios that are too rare (or too dangerous) to

Creating custom projection using provided Helmert Parameters and ArcMap?

Wrangling Coordinate Systems: A Human’s Guide to Custom Projections in ArcMap Ever feel like your geospatial data is speaking a different language? Like trying to fit a square peg in a round hole when you’re merging datasets? I’ve been there. A lot. Sometimes, the usual coordinate transformations just don’t cut it, especially when you’re dealing

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