IGSNRR OpenIR
Annual dynamics of forest areas in South America during 2007-2010 at 50m spatial resolution
Qin, Yuanwei1; Xiao, Xiangming1,2; Dong, Jinwei1,3; Zhou, Yuting1; Wang, Jie1; Doughty, Russell B.1; Chen, Ying4; Zou, Zhenhua1; Moore, Berrien, III5
2017-11-01
Source PublicationREMOTE SENSING OF ENVIRONMENT
ISSN0034-4257
Volume201Pages:73-87
Corresponding AuthorXiao, Xiangming(xiangming.xiao@ou.edu)
AbstractSouth America has the largest tropical rainforests and the richest biodiversity in the world. It is challenging to map tropical forests and their spatio-temporal changes because forests are facing fragmentation from human activities (e.g., logging, deforestation), drought, and fire, as well as persistent clouds. Here we present a robust approach to map forests in South America during 2007-2010 and analyze the consistency and uncertainty among eight major forest maps in South America. Greenness-relevant MOD13Q1 NDVI and structure/biomassrelevant ALOS PALSAR time series data recorded 2007 through 2010 were coupled to identify and map forests at 50-m spatial resolution. Both area and spatial comparison were conducted to analyze the consistency and uncertainty of these eight forest maps. Annual 50-m PALSAR/MODIS forest maps were generated during 2007-2010 and the total forest area in South America was about 8.63 x 10(6) km(2) in 2010. Large differences in total forest area (8.2 x 10(6) km(2)-12.7 x 10(6) km(2)) existed among these forest products, especially in the forest edges, semi-humid tropical, and subtropical regions. Forest products generated under a similar forest definition had similar or even larger variation than those generated with contrasting forest definitions. We also find out that one needs to consider leaf area index as an adjusting factor and use much higher threshold values in the Vegetation Continuous Field (VCF) datasets to estimate forest cover areas. Analyses of PALSAR/MODIS forest maps in 2008/2009 showed a relatively small rate of loss (3.2 x 10(4) km(2) year(-1)) in net forest cover, similar to that of FAO FRA (3.3 x 10(4) km(2) year(-1)), but much higher annual rates of forest loss and gain. The rate of forest loss (0.195 x 10(6) km(2) year(-1)) was higher than that of Global Forest Watch (0.081 x 10(6) km(2) year(-1)). PALSAR/MODIS forest maps showed that more deforestation occurred in the unfragmented forest areas. Caution should be used when using the different forest maps to analyze forest loss and make policies regarding forest ecosystem services and biodiversity conservation. The integration of PALSAR and MODIS images during 2007-2010 provides annual maps of forests in South America with improved accuracy and reduced uncertainty.
KeywordTropical forest ALOS PALSAR Forest map comparison User community Biodiversity conservation Leaf area index Forest definition
DOI10.1016/j.rse.2017.09.005
WOS KeywordDECIDUOUS RUBBER PLANTATIONS ; VALIDATION DATA SET ; BRAZILIAN AMAZON ; SATELLITE DATA ; LANDSAT IMAGES ; COVER CHANGE ; TIME-SERIES ; PALSAR ; DEFORESTATION ; ACCURACY
Indexed BySCI
Language英语
Funding ProjectInter-American Institute for Global Change Research (IAI)[CRN3076] ; US National Science Foundation[GEO-1128040] ; National Aeronautics and Space Administration (NASA) Land Cover and Land Use Change program[NNX14AD78G] ; National Science Foundation (NSF) EPSCoR program[IIA-1301789]
Funding OrganizationInter-American Institute for Global Change Research (IAI) ; US National Science Foundation ; National Aeronautics and Space Administration (NASA) Land Cover and Land Use Change program ; National Science Foundation (NSF) EPSCoR program
WOS Research AreaEnvironmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectEnvironmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000412866400007
PublisherELSEVIER SCIENCE INC
Citation statistics
Cited Times:12[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/62393
Collection中国科学院地理科学与资源研究所
Corresponding AuthorXiao, Xiangming
Affiliation1.Univ Oklahoma, Dept Microbiol & Plant Biol, Ctr Spatial Anal, Norman, OK 73019 USA
2.Fudan Univ, Inst Biodivers Sci, Minist Educ, Key Lab Biodivers Sci & Ecol Engn, Shanghai 200433, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resource Res, Beijing 100101, Peoples R China
4.Fujian Agr & Forestry Univ, Fuzhou 350002, Fujian, Peoples R China
5.Univ Oklahoma, Coll Atmospher & Geog Sci, Norman, OK 73019 USA
Recommended Citation
GB/T 7714
Qin, Yuanwei,Xiao, Xiangming,Dong, Jinwei,et al. Annual dynamics of forest areas in South America during 2007-2010 at 50m spatial resolution[J]. REMOTE SENSING OF ENVIRONMENT,2017,201:73-87.
APA Qin, Yuanwei.,Xiao, Xiangming.,Dong, Jinwei.,Zhou, Yuting.,Wang, Jie.,...&Moore, Berrien, III.(2017).Annual dynamics of forest areas in South America during 2007-2010 at 50m spatial resolution.REMOTE SENSING OF ENVIRONMENT,201,73-87.
MLA Qin, Yuanwei,et al."Annual dynamics of forest areas in South America during 2007-2010 at 50m spatial resolution".REMOTE SENSING OF ENVIRONMENT 201(2017):73-87.
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