Comprehensive, reliable and timely information is very much necessary for effective planning, development and management of environment and associated issues. A geographic information system (GIS) integrates hardware, software, and data for capturing, managing, analyzing, and displaying all forms of geographically referenced information. GIS allows us to view, understand, question, interpret, and visualize data in many ways that reveal relationships, patterns, and trends in the form of maps, globes, reports, and charts. A GIS helps you answer questions and solve problems by looking at your data in a way that is quickly understood and easily shared. It introduces the fundamental principles and basic concepts of remote sensing and GIS to the professional planners, manager and decision makers who do not have enough exposure to these spatial tools and techniques for effective planning and management.
The twin techniques of Remote Sensing (RS) and GIS have been widely accepted as the most versatile decision making tools in all types of geospatial activities. Integrated application of these two techniques have been universally used for planners and decision makers on the environmental issues with incredible speed and reasonable accuracy, even from inaccessible areas, to help the process of planning the integrated development of a region. They are widely used in planning, management and monitoring diverse fields of activities, such as, spatial analysis, land administration, environmental monitoring & assessment, disaster management, sustainable development, etc. Remotely sensed data, acquired from airborne and space borne platforms, combined with primary and secondary data forms the basic database in GIS for multi-criteria decision making.
This course is intended for the planners, manager and decision makers to provide knowledge and tools to implemented in Open Source Free Geographic Information System (GIS), Quantum GIS (QGIS) software package for planning, generating and management of spatial data. It introduces the fundamental principles and basic concepts of remote sensing and GIS to the professionals who do not have enough exposure to these spatial tools and techniques for effective planning and management.
The training course is designed for the two professionals from Department of Geology and Mines, Ministry of Economic Affairs, Bhutan. The course is going to provide tremendous benefits to the professionals involved in GIS and RS application programs/projects.
The training course will be conducted in for one week, from 27th March to 2nd April 2017. If the dates are not suitable, then a mutually convenient date can be finalized through consultations.
The main objective of the training course is to provide the basic knowledge and skills to use QGIS software package. The course concentrates on enhancing the knowledge and skills of the participants through practical examples to have a clear understanding and subsequent use of GIS and RS technology.
The mode of delivery for this program is a combination of both lectures and hands-on practical sessions.
Module 1: Setting up QGIS Environment: 1/2 day
This module will cover setting up the QGIS working environment through following topics;
a) How to download QGIS software/OSGeoLive and installation
b) Setting-up the interface, toolbars, toolboxes
c) QGIS Plugins and plugin manager
d) Install useful plugins
e) QGIS Browser
Module 2: Data Visualization and Map Composition: 1 day
This module will focus on visualization, symbolization, and completed up to map output.
a) Projection and coordinate systems
b) Vector data symbolizations
c) Data labelling
d) Map composer/ map grids
e) Map layouts and templates
f) Map elements
g) Map printing capabilities and output
Module 3: Vector Analysis: 1.5 days
This module will include essential attribute table operations and a small case study to understand advantages of vector operations.
a) Attribute table management
b) Import tabular data and table operation
c) Calculating Indicators (Population density, Gender Ratio etc.)
d) Data conversion (ex: .kml file into .shp file, etc.)
e) Proximity analysis
f) A case study: identification of suitable location for a public facility
Module 4: Digital Terrain Modelling: 1.5 days
This module will cover basic digital terrain modelling tools and a small case study.
a) Exploring freely available DEMs data and downland, and import to QGIS
b) Mosaic DEMs, clipping and visualization
c) Generate terrain features
o Understand slope algorithm
o Reclassify slope
d) A case study
Module 5: Introduction to Satellite Image Classification: 1/2 day
This module will try to introduce Semi-Automatic Classification plugin for satellite images classification.
a) Landsat data downloading guide
b) Satellite data visualization
c) Unsupervised satellite image classification