Google Earth Engine and Dynamic World

Let me please introduce you this “new” LULC source I have come across with recently. The potential of this 10m “clutter” source is being able to acquire data from a few days ago instead of using outdated “very old” 2020 vintage datasets. I know if these days something 2020 is very old then myself, born in 1972 then i’m older than the riverside, older than peeing in a wall, even older than Methuselah. Yes, that’s the way it is nowadays.

Google Earth Engine is a geospatial processing service where you can perform geospatial processing at scale, powered by Google Cloud Platform. The purpose of Earth Engine is to:

Provide an interactive platform for geospatial algorithm development at scale
Enable high-impact, data-driven science
Make substantive progress on global challenges that involve large geospatial datasets

Supervised Classification using the Google Earth Engine, analysis by Mijanur Raman

What I like the most from Google Earth Engine is how powerful can be. You can take i.e all images from the whole Sentinel 2 series over certain spot and measure NDVI throughout time or you can take an analysis you first thought it was ideal over India and then you can use it anywhere else in the world.

Visualizing Telco datasets using SpaceEyes 3D

Hi again, I have started using this visualization engine to overlay standard ortho imagery, DTM datasets and telecomunication specific datasets… All i can say so far is that it works pretty well!!!. Being able to understand the scope of land use dataset while we swipe different types of images… it works!! In this particular case a landContinue reading “Visualizing Telco datasets using SpaceEyes 3D”