Section: Imagery to thematic layers | Remote Sensing and Image Analysis | Z_GIS

Main course page

  • 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 

Platforms, sensors and data
Classification and Feature Extraction

Imagery to thematic layers

  • Imagery to thematic layers

    • 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 

      Pop out | Video

    • 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

Platforms, sensors and data
Classification and Feature Extraction