Land cover classification of tundra environments in the Arctic Lena Delta based on Landsat 7 ETM+ data and its application for upscaling of methane emissions

Schneider, J.; Grosse, Guido; Wagner, Dirk

doi:10.1016/j.rse.2008.10.013

Cited by 144 publications

(164 citation statements)

References 56 publications

(91 reference statements)

Supporting

Mentioning

154

Contrasting

Unclassified

Order By: Relevance

“…9a), the results of our supervised classification confirmed previously reported ratios of the water-and landcovered areas in the Lena River Delta (Fig. 9b) of approximately 31 % and 69 %, respectively (Schneider et al, 2009). The area covered by water bodies > 3600 m 2 amounted to around 10 000 km 2 .…”

Section: Land Surface Classification and Upscalingsupporting

confidence: 90%

“…The overall accuracy of our classification aiming at separating the Holocene river terrace and the active floodplain was 77 %, with a producer accuracy of 78 % and a user accuracy of 78 % (Table 7). This accuracy is on the same level as a previous Landsat-based land cover classification in the Lena River Delta using the same image mosaic that focused on classes useful for methane emission assessment (Schneider et al, 2009; overall accuracy of 78 %). In our classification, part of the observed misclassification between water and non-water classes may be related to the different acquisition dates of the imagery that may result in somewhat different water levels and hence exposure or inundation of surfaces especially for the active floodplain.…”

Section: Land Surface Classification and Upscalingsupporting

confidence: 55%

“…The mosaic was generated from three Landsat-7 ETM+ satellite images taken during the summer on 27 July 2000 (path 131, row 8 and 9) and on 26 July 2001 (path 135, row 8). A detailed description of the image processing, atmospheric corrections, image co-referencing and mosaicking is provided by Schneider et al (2009). The final mosaic has a spatial resolution of 30 m, encompasses the multispectral Landsat-7 bands 1-5 and 7, and has a horizontal accuracy of about 50 m. The areas of the sand-rich Arga Complex belonging to the 2nd main geomorphic unit in the Lena River Delta, and the Yedoma islands of the 3rd main geomorphic unit were not considered in our study of the Holocene and active delta portions.…”

Section: Image Data and Processingmentioning

confidence: 99%

See 2 more Smart Citations

Organic carbon and total nitrogen stocks in soils of the Lena River Delta

et al. 2013

View full text Add to dashboard Cite

The Lena River Delta, which is the largest delta in the Arctic, extends over an area of 32 000 km(2) and likely holds more than half of the entire soil organic carbon (SOC) mass stored in the seven major deltas in the northern permafrost regions. The geomorphic units of the Lena River Delta which were formed by true deltaic sedimentation processes are a Holocene river terrace and the active floodplains. Their mean SOC stocks for the upper 1m of soils were estimated at 29 kgm(-2) +/- 10 kgm(-2) and at 14 kgm(-2) +/- 7 kgm(-2), respectively. For the depth of 1 m, the total SOC pool of the Holocene river terrace was estimated at 121 Tg +/- 43 Tg, and the SOC pool of the active floodplains was estimated at 120 Tg +/- 66 Tg. The mass of SOC stored within the observed seasonally thawed active layer was estimated at about 127 Tg assuming an average maximum active layer depth of 50 cm. The SOC mass which is stored in the perennially frozen ground at the increment 50-100 cm soil depth, which is currently excluded from intense biogeochemical exchange with the atmosphere, was estimated at 113 Tg. The mean nitrogen (N) stocks for the upper 1m of soils were estimated at 1.2 kgm(-2) +/- 0.4 kgm(-2) for the Holocene river terrace and at 0.9 kgm(-2) +/- 0.4 kgm(-2) for the active floodplain levels, respectively. For the depth of 1 m, the total N pool of the river terrace was estimated at 4.8 Tg +/- 1.5 Tg, and the total N pool of the floodplains was estimated at 7.7 Tg +/- 3.6 Tg. Considering the projections for deepening of the seasonally thawed active layer up to 120 cm in the Lena River Delta region within the 21st century, these large carbon and nitrogen stocks could become increasingly available for decomposition and mineralization processes

show abstract

Section: Land Surface Classification and Upscalingsupporting

confidence: 90%

Section: Land Surface Classification and Upscalingsupporting

confidence: 55%

Section: Image Data and Processingmentioning

confidence: 99%

See 1 more Smart Citation

Organic carbon and total nitrogen stocks in soils of the Lena River Delta

et al. 2013

View full text Add to dashboard Cite

show abstract

“…A Landsat-7 ETM+ image mosaic of the Lena River Delta (Schneider et al, 2009) served as the basis for mapping the thermokarst lakes and basins within the extent of the Lena Delta Ice Complex. We defined this extent as all areas of the third geomorphological main terrace, excluding the bedrock outcrops of the Sardakh and Amerika-Khaya islands.…”

Section: Remote-sensing Data and Processingmentioning

confidence: 99%

Spatial analyses of thermokarst lakes and basins in Yedoma landscapes of the Lena Delta

et al. 2011

View full text Add to dashboard Cite

Abstract. Distinctive periglacial landscapes have formed in late-Pleistocene ice-rich permafrost deposits (Ice Complex) of northern Yakutia, Siberia. Thermokarst lakes and thermokarst basins alternate with ice-rich Yedoma uplands. We investigate different thermokarst stages in Ice Complex deposits of the Lena River Delta using remote sensing and geoinformation techniques. The morphometry and spatial distribution of thermokarst lakes on Yedoma uplands, thermokarst lakes in basins, and thermokarst basins are analyzed, and possible dependence upon relief position and cryolithological context is considered. Of these thermokarst stages, developing thermokarst lakes on Yedoma uplands alter ice-rich permafrost the most, but occupy only 2.2 % of the study area compared to 20.0 % occupied by thermokarst basins. The future potential for developing large areas of thermokarst on Yedoma uplands is limited due to shrinking distances to degradational features and delta channels that foster lake drainage. Further thermokarst development in existing basins is restricted to underlying deposits that have already undergone thaw, compaction, and old carbon mobilization, and to deposits formed after initial lake drainage. Future thermokarst lake expansion is similarly limited in most of Siberia's Yedoma regions covering about 10 6 km 2 , which has to be considered for water, energy, and carbon balances under warming climate scenarios.

show abstract

“…Satellite data are often collected bi-weekly to monthly in comparison to daily repeat cycles using moderate resolution (e.g., MODIS) products. Finally, hyperspectral data have also been used successfully to map tundra vegetation, and has worked across different geographies [28,[34][35][36][37], but it is only available through hand held or airborne sensors.…”

Section: Introductionmentioning

confidence: 99%

Mapping Arctic Tundra Vegetation Communities Using Field Spectroscopy and Multispectral Satellite Data in North Alaska, USA

et al. 2016

View full text Add to dashboard Cite

Abstract:The Arctic is currently undergoing intense changes in climate; vegetation composition and productivity are expected to respond to such changes. To understand the impacts of climate change on the function of Arctic tundra ecosystems within the global carbon cycle, it is crucial to improve the understanding of vegetation distribution and heterogeneity at multiple scales. Information detailing the fine-scale spatial distribution of tundra communities provided by high resolution vegetation mapping, is needed to understand the relative contributions of and relationships between single vegetation community measurements of greenhouse gas fluxes (e.g.,~1 m chamber flux) and those encompassing multiple vegetation communities (e.g.,~300 m eddy covariance measurements). The objectives of this study were: (1) to determine whether dominant Arctic tundra vegetation communities found in different locations are spectrally distinct and distinguishable using field spectroscopy methods; and (2) to test which combination of raw reflectance and vegetation indices retrieved from field and satellite data resulted in accurate vegetation maps and whether these were transferable across locations to develop a systematic method to map dominant vegetation communities within larger eddy covariance tower footprints distributed along a 300 km transect in northern Alaska. We showed vegetation community separability primarily in the 450-510 nm, 630-690 nm and 705-745 nm regions of the spectrum with the field spectroscopy data. This is line with the different traits of these arctic tundra communities, with the drier, often non-vascular plant dominated communities having much higher reflectance in the 450-510 nm and 630-690 nm regions due to the lack of photosynthetic material, whereas the low reflectance values of the vascular plant dominated communities highlight the strong light absorption found here. High classification accuracies of 92% to 96% were achieved using linear discriminant analysis with raw and rescaled spectroscopy reflectance data and derived vegetation indices. However, lower classification accuracies (~70%) resulted when using the coarser 2.0 m WorldView-2 data inputs. The results from this study suggest that tundra vegetation communities are separable using plot-level spectroscopy with hand-held sensors. These results also show that tundra vegetation mapping can be scaled from the plot level (<1 m) to patch level (<500 m) using spectroscopy data rescaled to match the wavebands of the multispectral satellite remote sensing. We find that developing a consistent method for classification of vegetation communities across the flux tower sites is a challenging process, given the spatial variability in vegetation communities and the need for detailed vegetation survey data for training and validating classification algorithms. This study highlights the benefits of using fine-scale field spectroscopy measurements to obtain tundra vegetation classifications for landscape analyses and use in carbon flux scaling studies. Improved...

show abstract

Land cover classification of tundra environments in the Arctic Lena Delta based on Landsat 7 ETM+ data and its application for upscaling of methane emissions

Cited by 144 publications

References 56 publications

Organic carbon and total nitrogen stocks in soils of the Lena River Delta

Organic carbon and total nitrogen stocks in soils of the Lena River Delta

Spatial analyses of thermokarst lakes and basins in Yedoma landscapes of the Lena Delta

Mapping Arctic Tundra Vegetation Communities Using Field Spectroscopy and Multispectral Satellite Data in North Alaska, USA

Contact Info

Product

Resources

About