Friday, July 13th, Background Literature
Lena Pernkopf (PLUS):
Lab session: Landscape metrics in habitat monitoring
Several guided exercises will contribute to a better understanding of landscape metrics and their use in habitat monitoring. In a first exercise, basic descriptors of patch area and patch form are calculated on habitat class level (number of patches, class area, mean patch size, mean shape index). Then we will introduce core area analysis rendering the interior of a patch (core area) based on a user-specified buffer distance, forming the effectively useable habitat for certain species. Part of the lab session will also be a proximity analysis that quantifies the spatial context of a habitat patch in relation to its neighbours. Finally, the potential of subdivision analysis (including the ‘effective mesh size’) to quantify fragmentation effects is shown. All examples are based on possible, partly fictitious scenarios. They illustrate the spectrum of application areas without claiming completeness. The exercises are designed for ArcGIS 10 and the use of V-LATE (Vector-based Landscape Analysis Tools Extension). This extension complements ArcGIS in its functional range for analysing the mentioned aspects of landscape structure. The participants shall practise a critical-constructive application of landscape metrics in the assessment and monitoring of habitat status.
Gustafson, J. et al. (1994): Using an index of habitat patch proximity for landscape design. Landscape and Urban Plannig 29: 117-130
Jaeger, J (2000): Landscape division, splitting index, and effective mesh size: new measures of landscape fragmentation. Landscape Ecology 15: 115-130
V-LATE 2.0 beta (vector-based landscape analysis tools extension) for ArcGIS 10 provides a selected set of the most common metrics to cover basic ecological and structure-related investigations. They are organized according to the main aspects of structural pattern analysis and therefore employ metrics of seven different categories (area-, form-, interior-, edge-, proximity-, diversity- and subdivision analysis). These groups of metrics in general describe form, configuration, and composition of the landscape pattern and are considered to cover principal aspects of structural landscape assessment of crucial ecological meaningfulness. Note that V-LATE also offers a short help file, which briefly describes the implemented metrics.
http://arcscripts.esri.com/details.asp?dbid=13898 (ArcGIS 9.x)
Simon Nieland (TUB):
Towards an ontology based description model for remote sensing habitat monitoring
Gruber, T.R. (1995): Toward principles for the design of ontologies used for knowledge sharing. In international Journal of Human-Computer Studies : 43, 907 - 928 (Issues 4-5)
Guarino, N.: (1998): Formal Ontology in Information Systems. Proceedings of FOIS’98, Trento, Italy
B. Haest et al (2010): An object-based approach to quantity and quality assessment of heathland habitats in the framework of NATURA 2000 using hyperspectral airborne ahs images. Third international conference on all aspects of Geographic Object-Based Image Analysis. Gent, Belgium
Thoonen, G. et al. (2010): Habitat mapping and quality assessment of heathlands using a modified kernel-based reclassification technique. Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International, 2707 - 2710
Holsten A. et al. (2012).P.: An integrated and transferable climate change vulnerability assessment for regional application, Natural Hazards. http://dx.doi.org/10.1007/s11069-012-0147-z
Kian Pakzad (Eftas):
Knowledge based interpretation of habitat areas.