But i’ve been diving deeper into satellite imagery for my recent projects and I’m curious about your go-to tools. I primarily use QGIS with the Semi-Automatic Classification Plugin for land cover classification, but I’m eager to explore more. What software or techniques have you found invaluable for interpreting aerial data?
And have you tried using Google Earth Engine? It’s been a game-changer for me, especially for analyzing large datasets quickly. It allows for some cool time series analysis too.
I’ve found that combining QGIS with Google Earth Engine can really boost the capabilities for analysis, especially when dealing with large datasets. It’s like having a Swiss Army knife in your toolkit — you might think you’ve got everything, but then you realize there’s always a new tool to help! Have you had a chance to explore any time series analysis with it?
If you’re looking to enhance your land cover classification, you might want to explore ArcGIS Pro’s Image Analyst extension. It offers advanced tools for supervised and unsupervised classification that can be really useful. Have you considered that, or do you have a specific feature in mind that you’re hoping to find?
, I totally get it! Experimenting with satellite imagery can be frustrating when tools don’t meet our needs. I’ve had some luck with ENVI for hyperspectral analysis, especially when you need detailed spectral information.