Remote sensing data & Data Analysis in Tableau

Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object and thus is in contrast to on-site observation. The term is applied especially to acquiring information about the Earth. Remote sensing is used in numerous fields, including geography, land surveying and most Earth science disciplines (for example, hydrology, ecology, meteorology, oceanography, glaciology, geology); it also has military, intelligence, commercial, economic, planning, and humanitarian applications, among others.

Remote sensing makes it possible to collect data of dangerous or inaccessible areas. Remote sensing applications include monitoring deforestation in areas such as the Amazon Basin, glacial features in Arctic and Antarctic regions, and depth sounding of coastal and ocean depths. Military collection during the Cold War made use of stand-off collection of data about dangerous border areas. Remote sensing also replaces costly and slow data collection on the ground, ensuring in the process that areas or objects are not disturbed.
Orbital platforms collect and transmit data from different parts of the electromagnetic spectrum, which in conjunction with larger scale aerial or ground-based sensing and analysis, provides researchers with enough information to monitor trends such as El Niño and other natural long and short term phenomena. Other uses include different areas of the earth sciences such as natural resource management, agricultural fields such as land usage and conservation, oil spill detection and monitoring, and national security and overhead, ground-based and stand-off collection on border areas.

I will be focused on Modern Remote Sensing for Environmental Monitoring and its application to environmental protection and vegetation analysis.
This is my new challenge for this year and I will try to merge remote sensing and Tableau into one functional platform for strategic decision making.

It will be new way to implement spatial dana in Tableu.

I look forward to your support, comments and suggestions.

The road is difficult, but every time it starts with the first steps!

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