气候变化领域集成服务门户(CCPortal): Digital mapping of peatlands

CCPortal

DOI	10.1016/j.earscirev.2019.05.014
	Digital mapping of peatlands – A critical review
	Minasny B.; Berglund Ö.; Connolly J.; Hedley C.; de Vries F.; Gimona A.; Kempen B.; Kidd D.; Lilja H.; Malone B.; McBratney A.; Roudier P.; O'Rourke S.; Rudiyanto; Padarian J.; Poggio L.; ten Caten A.; Thompson D.; Tuve C.; Widyatmanti W.
发表日期	2019
ISSN	0012-8925
卷号	196
英文摘要	Peatlands offer a series of ecosystem services including carbon storage, biomass production, and climate regulation. Climate change and rapid land use change are degrading peatlands, liberating their stored carbon (C) into the atmosphere. To conserve peatlands and help in realising the Paris Agreement, we need to understand their extent, status, and C stocks. However, current peatland knowledge is vague—estimates of global peatland extent ranges from 1 to 4.6 million km2, and C stock estimates vary between 113 and 612 Pg (or billion tonne C). This uncertainty mostly stems from the coarse spatial scale of global soil maps. In addition, most global peatland estimates are based on rough country inventories and reports that use outdated data. This review shows that digital mapping using field observations combined with remotely-sensed images and statistical models is an avenue to more accurately map peatlands and decrease this knowledge gap. We describe peat mapping experiences from 12 countries or regions and review 90 recent studies on peatland mapping. We found that interest in mapping peat information derived from satellite imageries and other digital mapping technologies is growing. Many studies have delineated peat extent using land cover from remote sensing, ecology, and environmental field studies, but rarely perform validation, and calculating the uncertainty of prediction is rare. This paper then reviews various proximal and remote sensing techniques that can be used to map peatlands. These include geophysical measurements (electromagnetic induction, resistivity measurement, and gamma radiometrics), radar sensing (SRTM, SAR), and optical images (Visible and Infrared). Peatland is better mapped when using more than one covariate, such as optical and radar products using nonlinear machine learning algorithms. The proliferation of satellite data available in an open-access format, availability of machine learning algorithms in an open-source computing environment, and high-performance computing facilities could enhance the way peatlands are mapped. Digital soil mapping allows us to map peat in a cost-effective, objective, and accurate manner. Securing peatlands for the future, and abating their contribution to atmospheric C levels, means digitally mapping them now. © 2019 Elsevier B.V.
语种	英语
scopus关键词	algorithm; digital mapping; image analysis; land cover; numerical model; peatland; remote sensing; satellite data; satellite imagery
来源期刊	EARTH-SCIENCE REVIEWS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/209853
作者单位	School of Life & Environmental Science, Sydney Institute of Agriculture, the University of Sydney, Australia; Swedish University of Agricultural Sciences, Department of Soil and Environment, Uppsala, Sweden; School of History & Geography, Dublin City University, Ireland; Manaaki Whenua - Landcare Research, Palmerston North, New Zealand; Wageningen Environmental Research, PO Box 47, Wageningen, Netherlands; The James Hutton Institute, Scotland, United Kingdom; ISRIC – World Soil Information, PO Box 353, Wageningen, Netherlands; Department of Primary Industries, Parks, Water, and EnvironmentTasmania, Australia; Luke, Natural Resources Institute, Finland; School of Biosystems & Food Engineering, University College Dublin, Ireland; Faculty of Fisheries and Food Security, Universiti Malaysia Terengganu, Malaysia; Universidade Federal de Santa Catarina, Brazil; Natural Resources Canada, Canada; Natural Resources Conservation Service, United States Department of Agriculture, United States; Department of Geograph...
推荐引用方式 GB/T 7714	Minasny B.,Berglund Ö.,Connolly J.,等. Digital mapping of peatlands – A critical review[J],2019,196.
APA	Minasny B..,Berglund Ö..,Connolly J..,Hedley C..,de Vries F..,...&Widyatmanti W..(2019).Digital mapping of peatlands – A critical review.EARTH-SCIENCE REVIEWS,196.
MLA	Minasny B.,et al."Digital mapping of peatlands – A critical review".EARTH-SCIENCE REVIEWS 196(2019).