Course Content

Basic Level Training Course on
"Geospatial Data Analysis and Management"

Institute of Remote Sensing and GIS, Jahangirnagar University

Program Contents

●      Day 1: Welcome to GIS

○      What is GIS?

○      Components of GIS

○      Exploring GIS capabilities

○      Applications in Bangladesh

●      Day 2: GIS data

○      Different types of data in GIS

○      Exploring data collection

●      Day 3: Managing GIS data

○      Data management with geodatabases

○      Metadata

○      Exploring data management

○      Sharing data

●      Day 4: Exploring coordinate systems

○      Relative versus absolute location

○      Coordinate systems

○      Map projections and distortion

○      Local projected coordinate systems

●      Day 5-6: Mapping and visualization

○      Configuring a map

○      Change symbology

○      Create layouts

●      Day 7: Mid Assessment

●      Day 8-9: Spatial Analysis

○      Spatial analysis workflow

○      Answering questions with spatial analysis

○      Identifying types of analysis

○      Performing analysis

●      Day 10-11: Field Data Collection with Survey123

○      ArcGIS Survey123 basics

○      Prepare a survey and collect data

●      Day 12-13: Introduction to Imagery and Remote Sensing

○      Basic of Remote Sensing: Principles, History, and Applications

○       Sources of Geospatial Data: Satellite Imagery, GPS, and Open Data Repositories

○      Exploring Satellite Data: Sentinel and Landsat

○      Image properties, band properties, layer stack and FCC, mosaic, extracting

●      Day 14-15: Putting GIS to use & StoryMaps

○      The geographic approach

○      Sharing analysis results

○      Solving a real-world problem with GIS

●      Day 16: Final Assessment

 

Intermediate Level Training Course on
"Geospatial Data Analysis and Management"

Institute of Remote Sensing and GIS, Jahangirnagar University

 Program Contents

●        Day 1: Introduction to Geospatial Software

○       Putting GIS skills to work (practical application)

○       Introduction ArcGIS Pro

○       Open-source software: QGIS, GRASS GIS

○       Remote sensing (ArcGIS Pro, Google Earth Engine, ENVI, Erdas Imagine)

●       Day 2: Working with GIS data

○       Coordinate systems

○       Geodatabase

○       Join/relate

●       Day 3: Creating and editing data in ArcGIS Pro

○       Creating features

○       Modifying features and attributes

○       Deleting features

●       Day 4: Advanced editing and data management

○       Data selection by attribute/location

○       Managing attributes (domain/subtype/attribute rule)

○       Data validation with topology

●        Day 5: Visualization

○       Controlling feature display

○       Symbolizing layers

○       Labeling (label class)

○       Layout

●       Day 6: Share your maps for the Decision-maker and end user

○       Sharing web maps with ArcGIS Pro

○       Sharing with apps (Instant app, StoryMaps, Dashboards)

●       Day 7: Mid Assessment

●       Day 8: Advanced Data Collection with web apps

○       Survey123

○       FieldMaps

●       Day 9: Interactive Visualization

○       Dashboard and widgets

●       Day 10-11: Imagery Products & Raster Data Analysis

○       Sentinel and Landsat Explorer

○       Copernicus Hub

○       USGS, ASF Data Search

○       Raster functions

○       Classification (supervised, unsupervised)

○       Change detection

●       Day 12-13: Spatial Analysis for Planning and Decision-making

○       Hydrological analysis

○       Suitability analysis

●       Day 14-15: Geospatial Analysis with Python and GeoAI

○       Geoprocessing with Python

○       Processing SAR data with ArcGIS Notebook

●       Day 16: Final Assessment