Digital Geography

Using the Google Earth Engine (GEE) for Detection of Burned Areas

Google Earth Engine ( GEE ) is a cloud platform for processing satellite imageries. This service includes images of Landsat 5, 7,8, Sentinel 1 and Sentinel 2. You can process them directly on Google servers and don’t need download the images. This opportunity does processing of satellite imageries faster then on a limited desktop PC. However, you should have programming skills, because this is based on JavaScript code and the Google Earth Engine API.

SMAP – “Soil Moisture Active Passive” generates high resolution soil data

Since we are still in the International of Year of Soils , another Digital Soil Science post is ready. Some of you might already know that I’m addicted to soil. As a guy who works in the field of soil erosion modelling, any kind of soil data is interesting for me and some are quite relevant. Especially soil texture and soil moisture are very crucial values about predicting soil stabilization. I showed a global soil database in a previous post, which contains many high resolution soil data. But guess what: Some more soil data is coming. This time the datasource is…

A great visualization of InSAR data by the ESA – ups and downs at the East African Rift

InSAR (Interferometric Synthetic Aperture Radar) is one of the greatest remote sensing tools for everyone interested in crustal movements. The principle is simple: A satellite equipped with a radar device is constantly measuring the topography of the Earth while orbiting. When it crosses the same area a second time, the two datasets can be compared and the changes in altitude can be measured. The fascinating thing is that these changes may be as small as < 1 cm, using the interferometric effect! Repeated measurements allow creating time series and monitoring areas with crustal deformation. Such deformation can be caused by…