Understanding Forest Health with Remote Sensing-Part II—A Review of Approaches and Data Models
Lausch, Angela
Erasmi, Stefan
King, Douglas
Magdon, Paul
Heurich, Marco
9, 2: 129 -
DOI: https://doi.org/10.3390/rs9020129
Persistent URL: http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/6932
Persistent URL: http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/6932
Lausch, Angela; Erasmi, Stefan; King, Douglas; Magdon, Paul; Heurich, Marco, 2017: Understanding Forest Health with Remote Sensing-Part II—A Review of Approaches and Data Models. In: Remote Sensing, Band 9, 2: 129DOI: 10.3390/rs9020129.
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Stress in forest ecosystems (FES) occurs as a result of land-use intensification, disturbances,
resource limitations or unsustainable management, causing changes in forest health (FH) at various
scales from the local to the global scale. Reactions to such stress depend on the phylogeny of forest
species or communities and the characteristics of their impacting drivers and processes. There are
many approaches to monitor indicators of FH using in-situ forest inventory and experimental
studies, but they are generally limited to sample points or small areas, as well as being time- and
labour-intensive. Long-term monitoring based on forest inventories provides valuable information
about changes and trends of FH. However, abrupt short-term changes cannot sufficiently be
assessed through in-situ forest inventories as they usually have repetition periods of multiple years.
Furthermore, numerous FH indicators monitored in in-situ surveys are based on expert judgement.
Remote sensing (RS) technologies offer means to monitor FH indicators in an effective, repetitive and
comparative way. This paper reviews techniques that are currently used for monitoring, including
close-range RS, airborne and satellite approaches. The implementation of optical, RADAR and
LiDAR RS-techniques to assess spectral traits/spectral trait variations (ST/STV) is described in detail.
We found that ST/STV can be used to record indicators of FH based on RS. Therefore, the ST/STV
approach provides a framework to develop a standardized monitoring concept for FH indicators
using RS techniques that is applicable to future monitoring programs. It is only through linking
in-situ and RS approaches that we will be able to improve our understanding of the relationship
between stressors, and the associated spectral responses in order to develop robust FH indicators.
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