A Physically Based Terrain Morphology and Vegetation Structural Classification for Wetlands of the Boreal Plains, Alberta, Canada

Chasmer, L.; Hopkinson, C.; Montgomery, Joshua; Petrone, Richard M.

doi:10.1080/07038992.2016.1196583

Cited by 33 publications

(39 citation statements)

References 46 publications

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“…(a) Landcover classification (after Chasmer et al, ) and (b) thermal image of remote sensing area. Burned area is within the solid black lines in lower half of images.…”

Section: Resultsmentioning

confidence: 96%

“…While complex feedback mechanisms regulate near-surface soil temperatures (Kellner, 2001;Kettridge & Baird, 2010), only near-zero ET can induce the high surface temperatures observed (Kettridge et al, 2012). Where the remote sensing Geophysical Research Letters 10.1002/2017GL074186 was undertaken, wetlands accounted for 47% and 60% of the land surface area within the till moraine and clay plain hydrogeological settings, respectively (Chasmer et al, 2016). Therefore, low postfire ET within feather moss peatlands not only influences the ecohydrological function the individual wetlands but also has the potential to result in large-scale transitions in water conservation within the western boreal plain, with such peatlands acting as regional-scale headwater sources in the subhumid climate of the Boreal Plains (Devito et al, 2017).…”

Section: Cross-scale Postfire Subcanopy Evapotranspirationmentioning

confidence: 99%

See 1 more Smart Citation

Low Evapotranspiration Enhances the Resilience of Peatland Carbon Stocks to Fire

Kettridge

Lukenbach

Hokanson

et al. 2017

Geophysical Research Letters

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Boreal peatlands may be vulnerable to projected changes in the wildfire regime under future climates. Extreme drying during the sensitive postfire period may exceed peatland ecohydrological resilience, triggering long‐term degradation of these globally significant carbon stocks. Despite these concerns, we show low peatland evapotranspiration at both the plot‐ and landscape‐scale postfire, in water‐limited peatlands dominated by feather moss that are ubiquitous across continental western Canada. Low postfire evapotranspiration enhances the resilience of carbon stocks in such peatlands to wildfire disturbance and reinforces their function as a regional source of water. Near‐surface water repellency may provide an important, previously unexplored, regulator of peatland evapotranspiration that can induce low evapotranspiration in the initial postfire years by restricting the supply of water to the peat surface.

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“…(a) Landcover classification (after Chasmer et al, ) and (b) thermal image of remote sensing area. Burned area is within the solid black lines in lower half of images.…”

Section: Resultsmentioning

confidence: 96%

Section: Cross-scale Postfire Subcanopy Evapotranspirationmentioning

confidence: 99%

Low Evapotranspiration Enhances the Resilience of Peatland Carbon Stocks to Fire

Kettridge

Lukenbach

Hokanson

et al. 2017

Geophysical Research Letters

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“…For the classification, different scenarios were implemented aiming at assessing the added value of the different derivatives generated in the previous processing steps. All scenarios included NDVI, NDWI and elevation, as their contribution is considered to be effective in recent studies [52][53][54]. Initially (SB), only the original S2 channels were used.…”

Section: Post-classification Correctionsmentioning

confidence: 99%

Co-Orbital Sentinel 1 and 2 for LULC Mapping with Emphasis on Wetlands in a Mediterranean Setting Based on Machine Learning

2017

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Abstract:This study aimed at evaluating the synergistic use of Sentinel-1 and Sentinel-2 data combined with the Support Vector Machines (SVMs) machine learning classifier for mapping land use and land cover (LULC) with emphasis on wetlands. In this context, the added value of spectral information derived from the Principal Component Analysis (PCA), Minimum Noise Fraction (MNF) and Grey Level Co-occurrence Matrix (GLCM) to the classification accuracy was also evaluated. As a case study, the National Park of Koronia and Volvi Lakes (NPKV) located in Greece was selected. LULC accuracy assessment was based on the computation of the classification error statistics and kappa coefficient. Findings of our study exemplified the appropriateness of the spatial and spectral resolution of Sentinel data in obtaining a rapid and cost-effective LULC cartography, and for wetlands in particular. The most accurate classification results were obtained when the additional spectral information was included to assist the classification implementation, increasing overall accuracy from 90.83% to 93.85% and kappa from 0.894 to 0.928. A post-classification correction (PCC) using knowledge-based logic rules further improved the overall accuracy to 94.82% and kappa to 0.936. This study provides further supporting evidence on the suitability of the Sentinels 1 and 2 data for improving our ability to map a complex area containing wetland and non-wetland LULC classes.

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“…Producer's accuracy was used to determine the proportion of pixels that were incorrectly classified (errors of omission). User's and producer's accuracy per land cover type varied between 0.65 and 0.93, with greatest confusion between herb wetlands of the regenerating burn scar area of Red Earth Creek and recent harvest blocks, similarly observed in Wulder et al () and Chasmer, Hopkinson, Montgomery, and Petrone ().…”

Section: Methodsmentioning

confidence: 83%

Remote sensing of ecosystem trajectories as a proxy indicator for watershed water balance

et al. 2018

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Ecosystem trajectories are inextricably linked to hydrology; however, water availability is not easily observed within the landscape. The response of vegetation to soil water availability may provide an indicator of local hydrology and the resilience or sensitivity of ecosystems to long‐term changes in water balance. In this study, vegetation trajectories derived from Landsat Modified Soil Adjusted Vegetation Index over a 22‐year period are used as an indicator of spatio‐temporal changes of watershed water balance and surface water storage within 6 proximal watersheds of the Boreal Plains ecozone of Alberta, Canada. The interactions between hydrology, topography, geology, and land cover type are examined as they relate to vegetation change. In this study, we find that run‐off ratio (run‐off/precipitation) is greater within watersheds with greater variability of relief, compared within subhumid, wetland‐dominated watersheds (average = 0.35, 0.20, respectively), which experience lagged run‐off response. A 2‐year drought had a greater impact on vegetation trajectories within variable relief watersheds containing a high proportion of coarse‐grain surficial geology, compared with peatland‐dominated watersheds. The drought extended for an additional 1 to 2 years within 3 subhumid watersheds, reducing watershed run‐off to less than 50 mm per water year (November to October) in 2 watersheds. However, proportional area of decline of Modified Soil Adjusted Vegetation Index was significantly less within these watersheds. The results of this study indicate that wetlands play an important role for local water balance and ecosystem maintenance during periods of water stress and should be considered within land use planning and reclamation strategies of the Boreal Plains.

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A Physically Based Terrain Morphology and Vegetation Structural Classification for Wetlands of the Boreal Plains, Alberta, Canada

Cited by 33 publications

References 46 publications

Low Evapotranspiration Enhances the Resilience of Peatland Carbon Stocks to Fire

Low Evapotranspiration Enhances the Resilience of Peatland Carbon Stocks to Fire

Co-Orbital Sentinel 1 and 2 for LULC Mapping with Emphasis on Wetlands in a Mediterranean Setting Based on Machine Learning

Remote sensing of ecosystem trajectories as a proxy indicator for watershed water balance

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