buildings classified

Identifying buildings on medium resolution Satellite data using Monteverdi software

This is the final part in a series on using Planet’s Open California dataset. I’ve summarised it all here. Detailed mapping of building footprints is fast becoming one of the key challenges/uses for very high spatial resolution Earth Observation data today. Being able to accurately acquire these footprints remotely and at speed is where the Read more about Identifying buildings on medium resolution Satellite data using Monteverdi software[…]

pan sharpening

Pan Sharpening Sentinel 2 with Planet data

Pan sharpening is the process of increasing the spatial resolution of an RGB (Red, Green, Blue) image. Both Landsat 8 and Landsat 7 have a 15m spatial resolution panchromatic band. The benefit of pan sharpening is clear; it allows the production of a significantly sharpened RGB image. There is plenty written about pan sharpening – Read more about Pan Sharpening Sentinel 2 with Planet data[…]

planet earth observation open california

Open California data & sensor comparison

I wrote recently about clipping data and shared an example in Beverly Hills. I wanted to use this data to explore and compare all the data sets available on Planet Explorer, but focusing on the terrific Open California data. I’ve been meaning for sometime to write a comparison between different sensors. My feeling is that Read more about Open California data & sensor comparison[…]

Image CLAHE Sentinel2

Contrast Limited Adaptive Histogram Equalization (CLAHE) with Sentinel 2a

This week I have been thinking about image stretching. I want to start with a quote taken from the concluding remarks of Image Processing and GIS for Remote Sensing. Image Processing can never increase the information provided in the original image data, but the use of appropriate image processing can improve visualisation, comprehension and analysis Read more about Contrast Limited Adaptive Histogram Equalization (CLAHE) with Sentinel 2a[…]