GIS tutorials + more
Posts about spatial analysis and manipulation of satellite imageries
Hello everyone ! This is a quick Python code which I wrote to batch download and preprocess Sentinel-1 images of a given time. Sentinel images have very good resolution and makes it obvious that they are huge in size. Since I didn’t want to waste all day preparing them for my research, I decided to write this code which runs all night and gives a nice image-set in following morning.
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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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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
Typical method of classification of remote sensing imagery has been pixel based. Normally, multispectral data are used to perform the classification and, indeed the spectral pattern present within the data for each pixel is used as the numerical basis for categorization. Continue reading