I am primarily involved with a post graduate level course on GIS and remote sensing as it is my specialization. The course code is AFE 523 GIS and Remote sensing for NRM. The course is offered in the winter term. Recently I am also offering a 600 level course, AFE 618 Biodiversity Conservation and Management. Occasionally, I participated in seminar course for graduate students (multidisciplinary course for MS and Ph.D. students).
The course content of AFE 523
| Sl # | Lecture | Sl # | Lab | |
| Lect 1 | Welcome – Discussion -Course format – Question & Answer | |||
| Lect 2 | Introduction to GIS – basic principles and terminology of GIS | Lab 1 | Download and Installation of QGIS & an Overview Interface of QGIS | |
| Lec 3 | Introduction to Spatial data | Lab 2 | Loading Spatial Data and Visualization in QGIS | |
| Lec 4 | Coordinate Reference Systems and Map Projections | Lab 3 | Coordinate Reference Systems in QGIS | |
| Lec 5 | Global Positioning System (GPS) | Lab 4 | Working with GPS data | |
| Lec 6 | Tabular data | Lab 5 | Working with Tabular data | |
| Lec 7 | Vector data | Lab 6 | Working with Vector Data | |
| Lec 8 | Raster data | Lab 7 | Working with Raster Data | |
| Lec 9 | Terrain analysis | Lab 8 | Terrain Analysis in QGIS | |
| Lec 10 | Spatial analysis | Lab 9 | Spatial Analysis in QGIS | |
| Lec 11 | Map elements | Lab10 | Map Production in QGIS | |
| 1st mid term exam | 25% | |||
| Lec 12 | Introduction to Remote Sensing – basic principles and terminology of remote sensing | |||
| Lec 13 | Radiation principles, EM spectrum, blackbody (MD) | Lab11 | Download/Installation of R and basic data management with R | |
| Lec14 | Overview of various remote sensing satellites and their orbits, common imaging sensor and their technical principles, technical performance and data formats | Lab12 | Basic statistical plotting and data analysis in R | |
| Lec 15 | Image processing- radiometric and geometrical correction | Lab 13 | Spatial data management in R: working with vector data | |
| Lec 16 | Spectral Indices – Ground cover, NDVI, NDWI, etc | . | Lab 14 | Spatial data management in R: working with raster data |
| Lec 17 | Image Classification: Unsupervised classifiaction | Lab 15 | Pre-processing of Landsat 8 images, layer stacking, visualization (RGB, natural color etc, pan Sharpening) using QGIS and R | |
| Lec 18 | Image Classification: Supervised classifiaction | Lab 16 | Radiometric Calibration and Correction of Landsat 8 images in R | |
| 2nd mid term exam | 25% | Lab 17 | Calculation of Spectral Indices in R | |
| Lec 19 | Multispectral data: Introduction of Spectroradiometer | Lab 18 | Image Classification: Unsupervised classification in R | |
| Lec 20 | Multispectral data: Introduction of Multispectral Camera UAVs | Lab 19 | Image Classification: Supervised classification in R | |
| Lec 21 | Status and prospect of GIS and Remote sensing applications for NRM in Bangladesh | Lab 20 | Working with Spectroradiometer- Field and Lab work (Guest Lecture – CIMMYT/BARI) | |
| Lec 22 | Project Presentation | Lab 21 | Demonestration of UAV in BARI/BSMRAU (Guest Lecture- CIMMYT) | |
| Final | 30% | |||
| Quize and field visit: SPARSO and or BARI | 10% | |||
| Student Project | 10% |