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How to perform measurement of spectral response pattern of multispectral satellite imagery like Sentinel 2 or Landsat using ESA-SNAP software and spreadsheet programs like Microsoft Excel or Google Sheets. Spectral Response Measurement is one of the most important analysis in remote sensing because it will tell use about the spectral response behavior of the earth surface object. Thus it will helps identify landcover type on the landcover classification and analysis 

Area and length measurement is very basic task in GIS. Almost every GIS software can do that. Things become harder if we want to calculate polygon volume in GIS. until few years ago, there is no simple and direct way to calculate polygon volume in GIS. Some GIS and Remote sensing software provide built in tool to do that, but these software usually have certain data format that is not easily converted into standard GIS format. Today the game has changed. Some developer has built a simple and intuitive plugin to calculate polygon volume using DEM as reference, and the most awesome aspect is, they made it in Quantum GIS / QGIS environment. This is a life saver because QGIS is a free software!. And here is my experience when I try those new developed plugin to calculate polygon volume in QGIS. ArcGIS doesnt have this luxury.  

Working in GIS using free software like QGIS is a something, but integrate it with the most popular data science language is something else. Almost all of Remote Sensing and GIS software have implemented Python integration these days, but sometimes those features hidden in the user interface. If you are familiar with python, you must be know that python has something GIS software cant provide. And this state we have an urge to why not use both of them?, here is how to install thid party python libraries to QGIS which is sometimes not all of available python libraries already installed in default QGIS python configuration. 

Google Earth Engine is a revolutionary Remote Sensing Analysis platform that changed the remote sensing data processing landscape in extreme way. This platform is powered by Cloud Computing hosted by Google and you know, by the means of cloud computing now you are enabled to process and analyze tons of satellite data without sacrificing your computer hardware. You dont have to procure high end computer to enabling the robust and sophisticated remote sensing and digital image analysis workflow. You just need a browser to run all the complex processing. You only needs a good knowledge of javascript programming to make google earth engine works for you. On the other side, may be you are asking about what if I didnt have enough knowledge of javascript. What I am doing all the time is python programming. Dont worry my friends, now Google Earth Engine is also provides Python engine for you to use. You can run Google Earth Engine in the Google Colaboratory Environment, or you can also do it i...