Remote Sensing, QGIS and Data Import
Learn about remote sensing, quantum geographic information systems, and data importation in this free online course.
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CertificationView course modules
This course will begin by introducing you to remote sensing in GIS, spatial analysis, basic spatial analysis with examples, and also advanced spatial analysis. You will learn about the limitations of having a geographical information system in place, and the problems encountered in establishing a GIS. You will also learn about report generation from attribute data, complex operations on attribute data, and the overall procedure for a polygon overlay.
Next, you will study the points on a polygon, buffer zones, and the procedures in integrated data analysis. This will lead you to network operations, proximity operations; spatial interpolations, and extrapolation. You will then become familiar with bilinear interpolations, GIS analysis models, cartographic algebra, and digital terrain models. This will further introduce you to the interface of QGIS, importing vector data, tabular data, and raster data into the QGIS interface.
Lastly, you will gain an understanding of the properties, identification of features; the attribute table followed by metadata inspection and properties viewing in QGIS. You will then further your knowledge on the process of downloading a topography map from the survey of the Indian portal, exploring the georeference tool and window. You will also familiarize yourself with the georeferenced plugin, georeferencing an image, and transformation settings. This will then bring you up to speed with how to dissolve various polygons into one single polygon, and joining tables. You will also master how to merge two different industry layers and then extraction of the road layers.Start Course Now
Basic and Advanced Spatial Analysis of Data
Basic and Advanced Spatial Analysis of Data - Learning Outcomes
Introduction to Remote Sensing
Basic Spatial Analysis
Report Generation: Overlay and Buffers
Points in Polygon Analysis
Advanced Spatial Analysis
Basic and Advanced Spatial Analysis of Data- Lesson Summary
Introduction to QGIS and Data Import
Introduction to QGIS and Data Import - Learning Outcomes
Introduction to QGIS and Data Importing
Georeferencing an Image
Creating Vector Features
Vector Functions and Querying
Introduction to QGIS and Data Import - Lesson Summary
By the end of this course, you should be able to:
- Describe the basics of remote sensing in geographic information system
- Explain the concept of electromagnetic radiation in GIS
- Describe the basic principles of remote sensing in GIS
- Describe the analysis of spatial data in GIS
- Discuss the relationship between SQL statements and spatial analysis
- Explain the concept of overlap polygons in spatial analysis
- Describe the quantum geographic information system (QGIS) interface
- Explain the process of importing vector, tabular, and raster data to QGIS
- Describe the properties and identifying features of a QGIS
- Describe the quantum geographic information system (QGIS) plugins
- Explain the process of downloading and installing plugins in QGIS
- Discuss the concept of the open street map as used in GIS
All Alison courses are free to enrol, study and complete. To successfully complete this Certificate course and become an Alison Graduate, you need to achieve 80% or higher in each course assessment. Once you have completed this Certificate course, you have the option to acquire an official Certificate, which is a great way to share your achievement with the world. Your Alison Certificate is:
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