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All of the ArcGIS user may be has been known about arcgis desktop software and right now ArcGIS pro has been coming to replace all the good old days doing GIS in the 2000's and 2010's. But lesser known to common GIS users is that ESRI also develops the webGIS system as the complementer product for the desktop. They are ArcIMS, then they are evolved to ArcGIS Server, evolving again to Portal for ArcGIS and the rise up to the complete GIS system of ArcGIS Enterprise.  ArcGIS enterprise is such a superpower GIS system that they are not only offers seamless integration between Desktop GID and WebGIS, but also its API. ESRI API consist of several API system that dedicated to particular tasks inside a GIS workflow. One of them is ArcGIS API for Python. Just like its name ArcGIS python API is dedicated to handle python based spatial analysis and Portal management thru a python notebook interface. Its python notebook interface is similar to wellknown jupyter notebook. They offers fancy

The availability of multiple processing levels of satellite imagery products, either in the free or commercialized domain, by multi-national government agencies or private companies has made imagery utilization for many applications easier than ever.  Take Sentinel-2 imagery as an example, it is been delivered to the public as multi-level data products. You can get L1c products that only radiometric and geometrically corrected, or higher level L2a which the data has been processed to reflectance unit, furthermore it is already atmospherically corrected. So we don't talk about Top of Atmosphere reflectance anymore, we talk about surface reflectance.  However, all this easiness should not make us became lazy person alright?. It is important that remote sensing users know how to do atmospheric correction either in the practical or theoretical domain. Without deep knowledge of remote sensing theories, all of your image processing and analysis skills cant be trusted in order to get the