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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Posts about spatial analysis and manipulation of satellite imageries
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
We all know .aoi is quite helpful in various cases, like defining an area, extent, points and many more. It is also essential when you geometrically correct an image. .shp on the otherhand is a very well known vector file system around the globe. Just like many other GIS software, you can open .shp in Erdas. But Erdas wont let you doing .aoi things with .shp easily. This post describes the classic technique to convert .shp to .aoi easily. You’ll be surprised how easy it is with Erdas Imagine. Continue reading
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