Mama Information Technology and GIS Solutions have understood fully that remote sensing is different from GIS and the combination of the two gives a spectacular technology today our clients cannot resist is applying the technology for informed decision making. GIS Remote sensing technology gives abstracts of reality that is real. Remote sensing: – Is an act of surveying and data collection technique; a technique used to survey and collect data regarding an object or a phenomenon without any physical contact with the object or the phenomenon being observed. It is designed to collect and retrieve large amounts of data regarding an object or a phenomenon. The data could be about various aspects of the object including its position on the earth’s surface. It uses technical instruments (Sensors, Satellite Eyes, etc) to collect data over large areas which reduce the manual work that could otherwise have required a lot of people and financial inputs to do. Remote sensing can allow data to be retrieved in places where humans cannot access such as over volcanic mountains, the ocean depths and several other locations relatively within short period of time. The data collected can be used to analyze various aspects of the object or area being analyzed and more skilled personnel to interpret it using GIS tools.   If we can take a look into temperature issues on the globe today using January 1981 raster  below; is a demonstration of temperature Raster Data (it involves the value field which is in Kelvin temperature or (+273.15 degree Celcious )). A made ready raster comes as an integer value and the building of attribute table for the extraction to be accurate and successful temperature value using GIS tools:-  GIS Remote Sensing 1 GIS Remote Sensing 2 There are many type of remote sensing dataset we can  extract like:-
  1. Sensing for DEMS
  2. Sensing for Water bodies.
  3. Sensing for Agricultural Precision.
  4. Sensing for Minerals deposits like Gold (AU), Zink (Zn) , Copper (CU), e.t.c
  5. Sensing for Hydrocarbon.
  6. Sensing for Water Table.
  7. Sensing for 3D Buildings
  8. Sensing through Machine Learning through CNN (Convolution Neural Networks).
  9. Sensing for Atmospheric conditions.
  10. Sensing for Hurricane and flood.
  11. Sensing for Military Purposes.
  12. Sensing for all other natural phenomenon not listed above.
All those equipment deployed as the data collection machine remotely are designed differently for different purposes. Getting insight of the data collected required the use of GIS tools and an expert in a particular field of discipline to interpret to a level of informed decision making. A GIS system is designed to accept and analyze large amounts of data at any given time due to the large capacity of the software and an elaborate personnel system analyst to analyze the data. A GIS system is self-sufficient and achieves analysis goals within much less time, money and resources. A single person can analyze huge amounts of data to produce more complex information a hundred manual processors cannot achieve on the same scale. GIS has tools that pave way to the public understanding of a natural phenomenon and carried along with the interpreted information in their portable devices. Hence the remote sensing data non translation to humanity renders all efforts useless without using the tools required to analyze, interpret and present information in such a way  users can benefit and make decision out of it not only at Government level but the individual persons as well. GIS Remote Sensing 3