Course: Remote Sensing and Image Analysis | Z_GIS

  • General

    • Introduction Forum
    • Development feedback Forum

      Please post all suggestions and corrections for this module. Refer to specific sections whenever your posting applies to content of a specific section.

    • Learning objectives (module level):

      • appreciate the value of remote sensing imagery as a core element for a(ny) Digital Earth
      • explain and communicate the fundamentals of remote sensing including physical principles and characteristics of platforms and sensors
      • gain experience with at least two different cloud platforms for remore sensing image analysis - e.g. Sentinel Hub and ArcGIS Image for ArcGIS Online
      • modify multi-band image display according to information needs and application domains
      • visually integrate imagery with geospatial displays, products and apps
      • access, manage, explore and integrate remote sensing imagery into geospatial workflows and products
      • understand and adequately apply simple classification methods, starting from indices
      • work with raster analysis methods, including pre- and post-processing 
      • implement simple change detection and monitoring tools 
      • be aware of advanced topics of remote sensing data management and analysis in general terms 

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    • Learning objectives:

      • develop and demonstrate skills in visual image interpretation
      • understand and explain the importance of remote sensing image display and analytics in Digital Earth contexts 
      • continue to build experience in visual rs image interpretation and explanation of underlying factors and processes
      • decide when and where to apply remote sensing imagery for visual interpretation, enhancement and as data source for geospatial workflows 

    • Section overview 

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    • Glossaries and Dictionaries URL

    • ArcGIS Earth URL

      Get started with downloading and installing ArcGIS Earth - a virtual globe based on a satellite image view of Earth, enabling 'all' your ArcGIS Online data to be superimposed and interpreted in a global image map context.

      Set a bookmark on your hometown and your favourite holiday spot, explore the area around and then share your bookmarks (right click on My Data / Bookmarks) with your module folder in ArcGIS Online.

      Learn how to use ArcGIS Earth ...

    • Getting started with ArcGIS Image for ArcGIS Online Page

      As one element of the ArcGIS Online 'ecosystem', this extension supports fundamental (as well as advanced) methods of image management, visualisation, analysis and feature extraction. Make sure you build a basic understanding and skills in working with this functionality.

    • Sentinel Hub EO Browser Page

      This is an openly available cloud (online) platform for working with (not only) Sentinel data. Make sure you build a basic familiarity with its capabilities, as it will be used across the following sections in this course. 

    • The New Age of Imagery (eBook) File

      Collection of case studies illustrating the scope of remote sensing imagery application domains

    • The ArcGIS Imagery Book URL

      Explore how imagery and remote sensing power modern GIS. Use this web site and the companion Instructional Guide for The ArcGIS Imagery Book and Learn ArcGIS lessons to quickly begin putting imagery to smarter, more skillful use with your GIS. Get an overview of the content of this eBook, we will focus on specific chapters later in this module.

    • MOOC: Imagery in Action URL

      Make sure you complete this MOOC before, during or after taking this course, the sooner the better! Be aware that this MOOC is offered on a fixed schedule 1 or 2 times a year and not synchronized with academic years or semester schedules.

    • Activities: Page

      Tasks to complete this section

    • Assessment: Page

      Check out these questions and exercises

    • Learning objectives: 

      • navigate the path from the spectral to semantic dimensions
      • understand the logic behind spectral image indices
      • gain an overview of indices such as MSAVI, NDVI, PVI, and SAVI; select and use index indices appropriate for specific needs
      • identify semantic categories using simple techniques like thresholding

    • Section overview 

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    • Note: include task for survey123 ground truth app

    • Analyzing imagery with ArcGIS Image for ArcGIS Online URL

      This document provides a concise overview of image analysis across the AGO platform, offering links to resources for further exploration.

    • Sentinel Hub Index Tool File

      Follow this guide (>link) to creating and visualizing satellite image indices by choosing your individual topic and study area. 

    • Sentinel-2 data and vegetation indices URL

      EO4GEO Lecture on the principles and applications of spectral indices in optical remote sensing. >Presentation  

    • Preprocessing of EO data URL

      EO4GEO Lecture providing a brief overview across some typical pre-processing steps. >Presentation  

    • Unlock Earth's Secrets - explore satellite imagery collections URL

      EO Explorer - Sentinel Explorer - Landsat Explorer  

    • Landsat Lens - imagery in time and space URL

    • From image interpretation to image classification

      ... >full window

    • Activities: Page

      Tasks to complete this section

    • Sentinel Explorer - Index Based Selection Page

      Use this simple tool to explore the extraction of single feature classes based on spectral indices

    • Assessment: Page

      Check out these questions and exercises

    • Learning objectives: 

      • know the basics of image classification, understand and apply multivariate image classification models, i.e. unsupervised vs. supervised classification
      • assess the quality and accuracy of image classification results
      • visualize and share thematic image processing outputs
      • understand and apply (pre-configured) basic machine learning approaches
      • interpret results from object-based image analysis (OBIA) feature extraction

    • Section overview 

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    • Image Classification using ArcGIS URL

      Learning path based on ArcGIS Pro - recommended if this platform is readily available. 

    • Esri Academy: Introduction to Image Classification (Web Course) URL

      Supervised pixel classification - Unsupervised pixel classification - OBIA 

    • Classification: Decision Trees URL

      EO4GEO Lecture on this popular non-parametric classifier (advanced topic). >Presentation 

    • Classification: Random Forests URL

      EO4GEO Lecture introducing a machine learning classifier with a capability to obtain good classification results with a relatively low number of training samples and reliance on a reduced number of user-defined parameters (advanced topic). >Presentation

    • Object-based Image Analysis – An Introduction URL

      EO4GEO Lecture providíng an introduction to concepts and methods of Object-based image analysis. >Presentation

    • Artificial Intelligence for Earth Observation URL

      A webinar addressing the use of AI algorithms in EO applications. Introducing AI concepts, from machine to deep learning, from unsupervised to supervised methods. Furthermore, applications in object detection, semantic segmentation, classification, clustering, and data augmentation will be showed.

    • Activities: Page

      Tasks to complete this section

    • Assessment: Page

      Check out these questions and exercises