This article is also available on Youtube / Slide Share Data is the most important parameter of success in hydrological research. But measuring or collecting hydrologic data is complex due to its inaccessibility and financial requirements. For example, real-time stream level detection can help in the early warning of floods which can prevent/avoid “during” or post-flood disasters. Real-time dataloggers for stream-level detection are available but they are expensive. That is why low-cost alternatives like stream gauges are used. However, the installation of such gauges in every location of a watershed is not possible as many places within a watershed are completely inaccessible. Again, the data collected by stream gauges are not real-time and not readily available to the researchers. One must pay or take permission from the regulating authorities to collect such data. Such requirements delay the project completion time and attract extra...
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