Current Forestry Reports

, Volume 3, Issue 1, pp 32–45 | Cite as

Methods for Mapping Forest Disturbance and Degradation from Optical Earth Observation Data: a Review

  • Manuela Hirschmugl
  • Heinz Gallaun
  • Matthias Dees
  • Pawan Datta
  • Janik Deutscher
  • Nikos Koutsias
  • Mathias Schardt
Remote Sensing (P Bunting, Section Editor)
Part of the following topical collections:
  1. Topical Collection on Remote Sensing

Abstract

Purpose of Review

This paper presents a review of the current state of the art in remote sensing-based monitoring of forest disturbances and forest degradation from optical Earth Observation data. Part one comprises an overview and tabular description of currently available optical remote sensing sensors, which can be used for forest disturbance and degradation mapping. Part two reviews the two main categories of existing mapping approaches: first, classical image-to-image change detection and second, time series analysis.

Recent Findings

With the launch of the Sentinel-2a satellite and available Landsat imagery, time series analysis has become the most promising but also most demanding category of degradation mapping approaches. Four time series classification methods are distinguished. The methods are explained and their benefits and drawbacks are discussed. A separate chapter presents a number of recent forest degradation mapping studies for two different ecosystems: temperate forests with a geographical focus on Europe and tropical forests with a geographical focus on Africa.

Summary

The review revealed that a wide variety of methods for the detection of forest degradation is already available. Today, the main challenge is to transfer these approaches to high-resolution time series data from multiple sensors. Future research should also focus on the classification of disturbance types and the development of robust up-scalable methods to enable near real-time disturbance mapping in support of operational reactive measures.

Keywords

Forest degradation Disturbance mapping Remote sensing Time series Forest monitoring 

References

Papers of particular interest, published recently, have been highlighted as: • Of importance •• Of major importance

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Manuela Hirschmugl
    • 1
  • Heinz Gallaun
    • 1
  • Matthias Dees
    • 2
  • Pawan Datta
    • 2
  • Janik Deutscher
    • 1
  • Nikos Koutsias
    • 3
  • Mathias Schardt
    • 1
  1. 1.Remote Sensing and Geoinformation, JOANNEUM RESEARCHGrazAustria
  2. 2.Remote Sensing and Forest Information SystemsAlbert-Ludwigs-University FreiburgFreiburgGermany
  3. 3.Department of Environmental and Natural Resources ManagementUniversity of PatrasAgrinioGreece

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