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

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

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

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

General

Imagery to thematic layers

Imagery to thematic layers