Rainfall data validation using remote sensing and in-situ weather station data
Data validation is an essential tool of representing accuracy of data in a given interval of time.
Rainfall data vary periodically and also from place to place.
Rainfall data were collected from various weather stations and space (satellite).
Potiskum received the highest rainfall over the years.
In-situ weather station’s rainfall data is more reliable than remotely sensed data.
Data validation is a technique that helps to ensure the value stored is reliable and the best possible representation of the accurate value of variable at the measurement site at a given period or in a given interval of time. This study was carried out to compare and validate remotely sensed data and in-situ weather station’s data. Rainfall data were collected from various weather stations from the Nigerian Meteorological Agency (NIMET) of three local government areas which are Maiduguri, Potiskum and Nguru. It also extracts rainfall data on remotely sensed data collected from GEONET Cast Unit, Department of Geography, University of Maiduguri, Nigeria. The study was on environmental data validation which focused on rainfall data from in-situ weather station and remotely sensed data for the duration of four (4) years (2011-2014). The study compared the data collected from three locations; Maiduguri local government area (LGA), Potiskum LGA, and Nguru LGA. It revealed that Potiskum received the highest rainfall over the years. It was also observed that the month received the highest rainfall was August. Hence, each season has its own light, temperature, and weather patterns that repeat yearly. Graphs shown that they all fitted with some discrepancies. The highest rainfall intensity was found in Potiskum and then in Nguru and Maiduguri respectively. In conclusion, space (satellite) data are not reliable compared to the ground weather station data.