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  • Provide an opportunity to understand the raster and vector data, spatial analysis and feature extraction through open-source data and QGIS software.
  • To make an expert in watershed modelling, land cover mapping, digital cartography and spectral indices.
  • To provide good hands to Land planners, GIS analysist, water managers, geospatial technicians, and student.

The course “QGIS for Earth Observation and Geospatial Applications” is designed for land planners, water managers, GIS community and hydrologists, professionals and students, and those who want to gain skills in Earth Observation (EO) and Geographic Information System (GIS) applications. The course structure provides QGIS software knowledge, especially digital cartography, spatial analysis, land cover mapping, and watershed delineation and allows one to understand the fundamentals of EO and GIS.

During the course, you will learn the fundamentals of EO, GIS, digital cartography, features of QGIS software, types of data, automated streams and watershed delineation, GIS data creation, spatial analysis, land cover mapping and spectral Indices mapping. This course can be used as independent study material and a geospatial instructor for professionals, experts and students, followed by course guidebooks and videos.

After this course, you will have an excessive understanding of geospatial data, including raster and vector data models, map composition, watershed development plans, watershed management, land use planning, and automated feature extraction (land use land cover mapping) of a large area from open-source satellite images. This course aims to provide real-time solutions for land planners, water managers, geospatial technicians, and students using open-source satellite data, GIS layers and QGIS software.

  • You will learn everything from scratch
  • Land planners, GIS analysist, water managers, geospatial technicians, and students.
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  • Section 1 : Fundamentals of Earth Observation and Geospatial Technologies 4 Lectures 00:00:04

    • Lecture 1 :
    • Basics of Earth Observation and types of satellite data Preview
    • Lecture 2 :
    • Fundamentals of GIS
    • Lecture 3 :
    • Digital Cartography: Elements of map, geodesy and projection system
    • Lecture 4 :
    • Introduction of QGIS software
  • Section 2 : Data Preparation and Spatial Analysis 6 Lectures 00:00:01

    • Lecture 1 :
    • Introduction of open-source data platforms
    • Lecture 2 :
    • Layer Stacking in SCP Plugin of Landsat 9 Satellite Data
    • Lecture 3 :
    • Pan-sharping the satellite data
    • Lecture 4 :
    • Georeferencing
    • Lecture 5 :
    • Preparation of the vector data (point, line and polygon) and digitisation
    • Lecture 6 :
    • Spatial analysis with vector data
  • Section 3 : Watershed Delineation 2 Lectures

    • Lecture 1 :
    • Digital Elevation Model (DEM)
    • Lecture 2 :
    • Streams and watershed delineation
  • Section 4 : Satellite Image Processing 6 Lectures 00:10:58

    • Lecture 1 :
    • Saving QGZ File
    • Lecture 2 :
    • Introduction of Satellite Data and SCP
    • Lecture 3 :
    • Landsat satellite data preparation using SCP
    • Lecture 4 :
    • Land Cover Classification using SCP
    • Lecture 5 :
    • NDVI
    • Lecture 6 :
    • NDWI
  • Section 5 : Digital Cartography in QGIS 1 Lectures

    • Lecture 1 :
    • Map Composition
  • Section 6 : Assignment 1 Lectures

    • Lecture 1 :
    • Assignment introduction with example
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Mr Amit Daiman is a scientific consultant in Remote Sensing and GIS, a young professional & commission member (expert) in CEM- IUCN, Switzerland, for the south Asia network and an honorary member in ICCAs, Switzerland. He has also worked as a senior researcher in Madhya Pradesh Resource Atlas (MPRA) Division, Remote Sensing Application Center (RSAC), Madhya Pradesh Council Of Science & Technology (MPCOST), Vigyan Bhawan, Bhopal- India, Jr. researcher/MPCOST, GIS assistant/MPCOST, research assistant/Centre for Policy Studies (CPS, New Delhi), project intern/MPCOST and college lecturer/UoR (University of Rajasthan, Jaipur). He has held good experience in the field of earth science, physical geography, remote sensing, digital cartography, remote sensing and machine learning, climate science, water science, digital image processing, geoinformatics, hydroinformatics, modelling and information systems development, project management, data analysis using quantitative & qualitative methods, database management and spatial analysis (8 Year Experience). He holds MS in Hydroinformatics from IHE Delft Institute for Water Education - the Netherlands, an MSc in Remote Sensing & Geoinformatics (school of space science) from MDS University Ajmer - India, an MSc in geography from the University of Rajasthan, Jaipur - India. He received several distinguished awards and honours. He has published 10+ peer-reviewed papers, including chapters and resource atlases. He is a part of many scientific organisations and societies like CEM-IUCN, the Indian Society of Geomatics, ICCAs etc. His prime interest is to take Remote Sensing and GIS technology to the grassroots level to help resolve many issues like climate change, desertification, land degradation, water resources, biodiversity, livelihood and conservation of nature.
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