Provide course participants with necessary skills to process satellite imagery Acquire practical knowledge on interpretation of satellite imagery and generate land cover products Generate change detection maps from historical datasets.
Introduction to Remote Sensing software (Erdas/Envi/impact tool/QGIS)
❖ Basics of how RS works, image bands, band combinations and mosaics
❖ Geometric correction and spatial enhancement
❖ Image classification and generation of land cover products and area computation , segmentation and post classification.
❖ Vegetation indices (NDVI, NDWI, EVI)
❖ Change detection
❖ Climatic variables analysis
❖ Planning for remote sensing fieldwork
❖ Use of GPS for field verification
❖ Post field work analysis
❖ Student Projec
This component covers the basic physical principles and terminology of remote sensing and gives an overview of various remote sensing satellites and their orbits, common imaging sensor and their technical principles, technical performance and data formats. Computer processing and basic image processing methods in remote sensing are also covered, including radiometrical and geometrical correction, image enhancement, classification methods, image transformation integration of field data with remote sensing data for classification and accuracy assessment, and thematic map production using remotely sensed data.