GIS and RS Training
GrIDS takes a step forward in their course offerings for Small Group Training by upgrading the Land Cover Classification course into Land Cover Change Analysis. While the former’s goal is only to classify different vegetation cover, the latter incorporates additional steps in performing Change Detection Analysis (CDA). This training was participated by an instructor from Lyceum of the Philippines Manila and two groups of government employees: eight (8) representatives from Cagayan Economic Zone Authority and four (4) from LGU Tayabas City. The participants are all working in the planning unit in their respective offices, with their task having a particular focus on land use and land-use change. Hence, this training is within their field of interest. The morning session had been allotted to the lecture part (Introduction to Remote Sensing) which was provided by For. Jayson Arizapa. His discussion covers the basic concepts and theories in remote sensing, the software to use, and sources of basic remote sensing data. In the afternoon, the participants were given an introduction to the data preparation procedures by EnP Lester Ryan Mojica. Hands-on exercises were administered on the second day, providing a step-by-step guide in carrying out land cover classification using supervised classification algorithms built-in in the Semi-Automated Classification Plugin (SCP) of QGIS. This session had been an interactive one as the participants raised questions to the team regarding the process and relate it with what they do in their offices. As they approach the end of the exercise on change detection analysis, more questions had been raised on the possible application of the whole process to other government operations that concerns the use of land and its allocation, as well as development impacts—an indication for the team that the participants were able to understand the significance of GIS and RS in the land use planning process.