Quantifying throughfall, stemflow and interception loss in five vegetation communities in a maritime raised bog

Exler, Johannes L.; Moore, R. D.

doi:10.1016/j.agrformet.2022.109202

Cited by 5 publications

(2 citation statements)

References 84 publications

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Section: Airborne-based Remote Sensingmentioning

confidence: 99%

“…The studies by Exler and Moore (2022) and Zhang et al ( 2018) focus on assessing vegetation traits and water balance in peatland vegetation communities [45,98]. Exler and Moore (2022) quantify throughfall, interception loss, and streamflow across various vegetation communities within a maritime raised bog, highlighting the importance of shrub vegetation in quantifying net precipitation [98]. Zhang et al (2018) developed a methodology using airborne hyperspectral data to calculate the fractional coverage of various plant functional types within peatland ecosystems, showcasing the effectiveness of the multiple endmember spectral mixture analysis (MESMA) approach [45].…”

Section: Airborne-based Remote Sensingmentioning

confidence: 99%

See 1 more Smart Citation

Challenges and Limitations of Remote Sensing Applications in Northern Peatlands: Present and Future Prospects

Abdelmajeed,

Juszczak

2024

Remote Sensing

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This systematic literature review (SLR) provides a comprehensive overview of remote sensing (RS) applications in northern peatlands from 2017 to 2022, utilising various platforms, including in situ, UAV, airborne, and satellite technologies. It addresses the challenges and limitations presented by the sophisticated nature of northern peatland ecosystems. This SLR reveals an in-creased focus on mapping, monitoring, and hydrology but identifies noticeable gaps in peatland degradation research. Despite the benefits of remote sensing, such as extensive spatial coverage and consistent monitoring, challenges persist, including high costs, underexplored areas, and limitations in hyperspectral data application. Fusing remote sensing data with on-site research offers new insights for regional peatland studies. However, challenges arise from issues like the cost of high-resolution data, coverage limitations, and inadequate field validation data in remote areas. This review suggests refining methodologies, validating with high-resolution data, and addressing these limitations for future research.

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Section: Airborne-based Remote Sensingmentioning

confidence: 99%