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Monitoring peatland from Earth and space

Date:
January 26, 2010
Source:
American Society of Agronomy
Summary:
Scientists have developed a technique for monitoring the condition of peatlands by capturing images from Earth and space to measure spatial patterning. This method could help monitor peatland damage. Such disruption is contributing to global warming, as peatlands can release the carbon they absorb and store if they are damaged by drainage or peat extraction processes.

A team of UK scientists led by Dr. Karen Anderson (University of Exeter) has developed a new technique for monitoring the condition of peatlands. The team used a combination of images captured from Earth and space to measure spatial patterning in peatland surfaces as an indicator of their condition. This new method uses a novel coupled approach, using satellite images from space and airborne laser scanning data, and has resulted in improved peatland mapping products.

This new method could help monitor the damage that is being done to peatlands through human activity. Such disruption is contributing to global warming, as peatlands can release the carbon they absorb and store if they are damaged by drainage or peat extraction processes. This research, which appears in the January-February 2010 issue of Journal of Environmental Quality, reports that airborne laser scanning instruments are capable of measuring fine-scale peatland structures such as hummocks and hollows that typically measure less than four meters in size.

Lowland rainfed peatlands are recognized as being a globally important environmental resource because they absorb and store carbon. Their unique plant communities and their inherent wetness control their ability to act as carbon stores, but when human disturbance disrupts their surface structure, greenhouse gases are released instead. Many peatlands across the world are affected by drainage, peat removal and ecological disturbance so scientists have been working to develop a robust spatial method for monitoring peatland condition. Remote sensing techniques (where images from satellites in space are analyzed) provide a likely route for this.

The research team used data from an airborne "LiDAR," a laser-scanning instrument, alongside data from the IKONOS satellite. They showed that when LiDAR data were combined with optical images collected from satellites, a powerful method for spatial mapping of peatland quality could be achieved. The paper shows how use of a structural-based approach improved capabilities for mapping and monitoring peatland condition with an improvement in accuracy from 71.8% (without structural estimates) to 88.0% when airborne LiDAR data (which had been spatially preprocessed using a technique called semivariogram analysis) were used. This new approach offers an improved, physically based method for automated peatland condition mapping.

As Dr. Anderson, who led the study, noted, "This work is the first to demonstrate that peatland structures, which are linked to hydrological status and condition, can be measured using remote sensing techniques. Our approach enabled us to draw out the differences in surface pattern across the peatland and resulted in an improved mapping product which is useful for scientists, peatland managers, statutory conservation agencies, and for policy makers."

Research is ongoing at the University of Exeter to investigate broader application of the method to other peatland sites, including an assessment of spaceborne imaging capabilities for global peatland monitoring. The ongoing work will also look at other types of peatlands, including upland peats, which show similar spatial patterning. This work was funded through a UK Natural Environment Research Council research grant to Karen Anderson (2008) and involved scientists from the University of Exeter, University of Southampton, University of East London, and Natural England.


Story Source:

The above story is based on materials provided by American Society of Agronomy. Note: Materials may be edited for content and length.


Journal Reference:

  1. Anderson, K., Bennie, J. J., Milton, E. J., Hughes, P. D. M., Lindsay, R., Meade, R. Combining LiDAR and IKONOS Data for Eco-Hydrological Classification of an Ombrotrophic Peatland. Journal of Environmental Quality, 2009; 39 (1): 260 DOI: 10.2134/jeq2009.0093

Cite This Page:

American Society of Agronomy. "Monitoring peatland from Earth and space." ScienceDaily. ScienceDaily, 26 January 2010. <www.sciencedaily.com/releases/2010/01/100125173456.htm>.
American Society of Agronomy. (2010, January 26). Monitoring peatland from Earth and space. ScienceDaily. Retrieved August 23, 2014 from www.sciencedaily.com/releases/2010/01/100125173456.htm
American Society of Agronomy. "Monitoring peatland from Earth and space." ScienceDaily. www.sciencedaily.com/releases/2010/01/100125173456.htm (accessed August 23, 2014).

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