气候变化领域集成服务门户(CCPortal): Satellite soil moisture observations predict burned area in Southeast Asian peatlands

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DOI	10.1088/1748-9326/ab3891
	Satellite soil moisture observations predict burned area in Southeast Asian peatlands
	Dadap N.C.; Cobb A.R.; Hoyt A.M.; Harvey C.F.; Konings A.G.
发表日期	2019
ISSN	17489318
卷号	14 期号:9
英文摘要	Fires that emit massive amounts of CO2 and particulate matter now burn with regularity in Southeast Asian tropical peatlands. Natural peatlands in Southeast Asia are waterlogged for most of the year and experience little or no fire, but networks of canals constructed for agriculture have drained vast areas of these peatlands, making the soil vulnerable to fire during periods of low rainfall. While soil moisture is the most direct measure of peat flammability, it has not been incorporated into fire studies due to an absence of regional observations. Here, we create the first remotely sensed soil moisture dataset for tropical peatlands in Sumatra, Borneo and Peninsular Malaysia by applying a new retrieval algorithm to satellite data from the Soil Moisture Active Passive (SMAP) mission with data spanning the 2015 El Ni&no burning event. Drier soil up to 30 days prior to fire correlates with larger burned area. The predictive information provided by soil moisture complements that of precipitation. Our remote sensing-derived results mirror those from a laboratory-based peat ignition study, suggesting that the dependence of fire on soil moisture exhibits scale independence within peatlands. Soil moisture measured from SMAP, a dataset spanning 2015-present, is a valuable resource for peat fire studies and warning systems. © 2019 The Author(s). Published by IOP Publishing Ltd.
语种	英语
scopus关键词	Fires; Peat; Remote sensing; Tropics; Wetlands; Direct measures; Particulate Matter; Predictive information; Remotely sensed soil moisture; Retrieval algorithms; Satellite soil moisture; Scale independence; Soil moisture active passive (SMAP); Soil moisture; algorithm; data set; global warming; observational method; particulate matter; peatland; prediction; satellite altimetry; satellite data; soil moisture; Borneo; Greater Sunda Islands; Malaysia; Southeast Asia; Sumatra; Sunda Isles; West Malaysia
来源期刊	Environmental Research Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/154388
作者单位	Department of Earth System Science, Stanford University, Stanford, CA 94305, United States; Center for Environmental Sensing and Modeling, Singapore-MIT Alliance for Research and Technology138602, Singapore; Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, United States
推荐引用方式 GB/T 7714	Dadap N.C.,Cobb A.R.,Hoyt A.M.,et al. Satellite soil moisture observations predict burned area in Southeast Asian peatlands[J],2019,14(9).
APA	Dadap N.C.,Cobb A.R.,Hoyt A.M.,Harvey C.F.,&Konings A.G..(2019).Satellite soil moisture observations predict burned area in Southeast Asian peatlands.Environmental Research Letters,14(9).
MLA	Dadap N.C.,et al."Satellite soil moisture observations predict burned area in Southeast Asian peatlands".Environmental Research Letters 14.9(2019).