Hyperspectral indices for characterizing upland peat composition

Mcmorrow, Julia; Cutler, Mark E. J.; Evans, Martin; Alroichdi, A.

doi:10.1080/0143116031000117065

Cited by 28 publications

(14 citation statements)

References 34 publications

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“…Some mis‐classification may be inevitable because it is not practical to create soil maps which resolve small‐scale deposits of organic or mineral soil. This classification may be significantly improved by using airborne hyperspectral data (McMorrow et al , 2004) or satellite data (e.g. ASTER or Landsat).…”

Section: Discussionmentioning

confidence: 99%

Airborne radiometric survey data and a DTM as covariates for regional scale mapping of soil organic carbon across Northern Ireland

Rawlins

Marchant

Smyth

et al. 2009

European J Soil Science

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Section: Discussionmentioning

confidence: 99%

Airborne radiometric survey data and a DTM as covariates for regional scale mapping of soil organic carbon across Northern Ireland

Rawlins

Marchant

Smyth

et al. 2009

European J Soil Science

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“…Two additional regions in the SWIR were significant for OC estimation: 1390-1431 nm, which was also identified by Kooistra et al (2003) and may be attributed to absorption of O-H bonds (Viscarra Rossel et al 2006); and 2041-2154 nm, also significant in the models by Vasques et al (2009). In the latter region, at 2100 nm, McMorrow et al (2004) noted absorption features related to cellulose. Many researches have also found the SWIR region to be important to estimate C, with the best range between 1650 and 2500 nm (Lee et al 2009;Morgan et al 2009;Vasques et al 2009;Bellon-Maurel and McBratney 2011).…”

Section: Soc Prediction Models Based On Laboratory Spectramentioning

confidence: 81%

Evaluation of the spectral characteristics of five hyperspectral and multispectral sensors for soil organic carbon estimation in burned areas

Peón

Fernández

Recondo

et al. 2017

Int. J. Wildland Fire

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Frequent wildfires in the north-west region of Spain affect soil organic matter. Soil properties can be estimated both spatially and temporally using remote sensing. A wide range of satellite and airborne hyperspectral and multispectral sensors are currently available. The spectral resolution varies substantially among sensors, making it difficult to identify the most suitable sensors and spectral regions for a specific application. This study aims to identify the sensors and wavelengths with the greatest potential for topsoil organic C mapping. Total (TOC) and oxidisable organic carbon (OC) content were measured in 89 soil samples collected in a mountain region of north-western Spain. Reflectance spectra of the samples in the spectral region 400–2450 nm were resampled to the bands of five sensors: Compact Airborne Spectrographic Imager (CASI), Airborne Hyperspectral Scanner (AHS), Hyperion, Landsat 5 Thematic Mapper (TM) and Moderate Resolution Imaging Spectroradiometer (MODIS). Calibration models obtained using partial least-squares regression proved to be effective for hyperspectral sensors and also for the multispectral sensor MODIS (R2 = 0.75–0.89), which suggests that hyperspectral capability is not required to accurately predict topsoil organic C. Models based on Landsat performed well, but with an error ~30–45% greater than that obtained for the hyperspectral sensors and MODIS.

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“…Bathyarchaeia often dominate 715 marine subsurface archaeal communities, with relative abundances ranging from 10% to 100% (Fry et al, 2008;Zhou et al, 2018). Peat deposits are rich in cellulose and lignins (McMorrow et al, 2004), which are eventually converted to fluvic and humic acids that are more accessible to the microbial community (Bozkurt et al, 2001). The growth of Bathyarchaeota subgroup 8 (Bathy-8) on lignin suggests a key role of these species in the degradation of peat organic material (Yu et al, 2018), and based on chemical rate estimation, they have been identified as one 720 of the most active phyla in deep sea sediments (Fry et al, 2008).…”

Section: Dominance Of Bathyarchaeia Suggests a Central Role In Organimentioning

confidence: 99%

Microbial activity, methane production, and carbon storage in Early Holocene North Sea peats

Lippmann¹,

Zandt²,

Putten³

et al. 2020

Preprint

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Abstract. Northern latitude peatlands act as important carbon sources and sinks but little is known about the greenhouse gas (GHG) budget of peatlands submerged beneath the North Sea during the last glacial-interglacial transition. We found that whilst peat formation was diachronous, commencing between 13,680 and 8,360 calibrated years before the present, stratigraphic layering and local vegetation succession were consistent across a large study area. The CH4 concentrations of the sediment pore waters were low at most sites, with the exception of two locations, and the stored carbon was large. Incubation experiments in the laboratory revealed molecular signatures of methanogenic archaea, with strong increases in rates of activity upon methylated substrate amendment. Remarkably, methanotrophic activity and the respective diagnostic molecular signatures could be not be detected. Heterotrophic Bathyarchaeia dominated the archaeal communities and bacterial populations were dominated by candidate phylum JS1 bacteria. Although CH4 accumulation is low at most sites, the presence of in situ methanogenic micro-organisms, the absence of methanotrophy, and large widespread stores of carbon hold the potential for GHG production if catalysed by a change in environmental conditions. Despite being earmarked as a critical source of CH4 seepage, seepage from these basal-peat deposits is restricted, as evidenced by low in situ CH4 concentrations.

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Hyperspectral indices for characterizing upland peat composition

Cited by 28 publications

References 34 publications

Airborne radiometric survey data and a DTM as covariates for regional scale mapping of soil organic carbon across Northern Ireland

Airborne radiometric survey data and a DTM as covariates for regional scale mapping of soil organic carbon across Northern Ireland

Evaluation of the spectral characteristics of five hyperspectral and multispectral sensors for soil organic carbon estimation in burned areas

Microbial activity, methane production, and carbon storage in Early Holocene North Sea peats

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