Hello everyone. This is quick tour to create an app using Google Earth Engine. I have created a flood status map for Northeast Bangladesh using Sentinel-1 satellite image and then converted the code to an app so that anyone can play around with it without logging into their Gmail account.
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Today getting a good raster processing environment is not so difficult. The computers are cheaper, storage components are bigger and prices are lower than any time before. Internet is full of tutorials and tips for people who want to start building their own remote sensing lab. This post will reintroduce three most common open-source raster and vector processing libraries which anyone can use – GDAL, RSGISLib Python library and Orfeo Toolbox. Continue reading
We have all seen, downloaded and used Landsat satellite imageries. Landsat, starting from its journey on July 23, 1972 is the longest running enterprise for collecting satellite images of the earth. Researchers around the globe know Landsat for its vast pool of information zipped in an archive and free to download anytime from internet. In this post let me go through the contents inside a level 1 image archive when you download one. Continue reading
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