Ground-truthing refers to the process of calibration and validation of Remote-Sensing data, and it aids in the interpretation and analysis of said data. Subjecting raw remotely-sensed imagery to analysis tools produces different kinds of products, including band indices, land cover classification maps and time series. Some of the outputs from the image data interpretation and analysis are the land cover classification images or maps which enable decision makers to monitor land use and make decisions based on the products.
The Land cover classification process requires validation and accuracy assessment. This process entails, a team visiting the area of study with data collection to perform a ground-truthing exercise to assess the accuracy of the classification done and also improve the classification as well as the products. There is need for a means by which this data will be easily collected by the officers carrying out the data collection exercise, such as a data collection mobile application. The mobile application is expected to provide an appropriate classification for a given area of land based on how the questionnaire is filled in.
In this financial year 2021/2022 the KSA has set aside Ksh2 Million for four local universities (each receiving Ksh500,000) for the development of a Land Cover Data Collection Application for the Android and iOS mobile platforms to enable Ground–Truthing exercises to be carried out through the use of questionnaires.