2017
DOI: 10.1186/s13021-017-0075-z
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Detecting peatland drains with Object Based Image Analysis and Geoeye-1 imagery

Abstract: BackgroundPeatlands play an important role in the global carbon cycle. They provide important ecosystem services including carbon sequestration and storage. Drainage disturbs peatland ecosystem services. Mapping drains is difficult and expensive and their spatial extent is, in many cases, unknown. An object based image analysis (OBIA) was performed on a very high resolution satellite image (Geoeye-1) to extract information about drain location and extent on a blanket peatland in Ireland. Two accuracy assessmen… Show more

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Cited by 22 publications
(14 citation statements)
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“…Experimental design to estimate areas of cropland change followed well-established recommended practices (Stehman, 2013;Olofsson et al, 2014). Multi-temporal multi-spectral satellite data at 30-m spatial resolution were used to classify the territory of Donetsk and Luhansk regions into cropland and non-cropland areas for 2013 and 2018.…”
Section: Experimental Designmentioning
confidence: 99%
See 1 more Smart Citation
“…Experimental design to estimate areas of cropland change followed well-established recommended practices (Stehman, 2013;Olofsson et al, 2014). Multi-temporal multi-spectral satellite data at 30-m spatial resolution were used to classify the territory of Donetsk and Luhansk regions into cropland and non-cropland areas for 2013 and 2018.…”
Section: Experimental Designmentioning
confidence: 99%
“…We use the definition of "cropland, " adopted within the Joint Experiment for Crop Assessment and Monitoring (JECAM) network, which defines cropland a piece of land that is sown/planted and harvestable at least once within the 12 months after the sowing/planting date (Waldner et al, 2016). Since satellitederived maps have errors and provide biased estimates of areas, we combine those maps with sample-based reference data to derive unbiased area estimates along with uncertainties (Stehman, 2013;Olofsson et al, 2014). The derived LCLU maps allow us not only to quantify overall changes of cropland areas in the regions, but also analyze regional patterns and transitions with other LCLU classes.…”
Section: Introductionmentioning
confidence: 99%
“…Satellite earth observation provides synoptic and repeating views of the Earth’s surface and is therefore well-recognized as a key data source for the large-scale mapping and monitoring of a wide-range of ecosystem functions and services [16, 31, 32]. Optical sensors offer information on vegetation cover and community type, which can be used to identify and differentiate wetlands and vegetation zones and have shown potential for mapping peatlands at cold-temperate and subarctic latitudes [3335]. However, optical sensors are limited to daytime image acquisition and by their inability to penetrate through cloud and atmospheric haze or dense vegetation canopies [36].…”
Section: Introductionmentioning
confidence: 99%
“…Mehner et al, 2004), or features such as drains (e.g. Connolly and Holden, 2017) in smaller scale, site-level or regional studies. In addition, even higher resolution visible range data from unmanned aerial vehicles (UAV), manned helicopter flights or airborne hyperspectral monitoring flights have been successfully used to monitor restoration progress in peatlands (e.g.…”
Section: Remote Sensing Methods Have Been Successfully Utilised To Mamentioning
confidence: 99%