globalchange  > 气候变化事实与影响
DOI: 10.1016/j.jag.2015.02.001
Scopus记录号: 2-s2.0-84943545706
论文题名:
Operationalizing measurement of forest degradation: Identification and quantification of charcoal production in tropical dry forests using very high resolution satellite imagery
作者: Dons K; , Smith-Hall C; , Meilby H; , Fensholt R
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 39
起始页码: 18
结束页码: 27
语种: 英语
英文关键词: Burn mark detection ; Feature extraction ; Miombo woodlands ; REDD+ ; Supervised classification ; Tanzania ; Very-high-resolution imagery
Scopus关键词: charcoal ; dry forest ; environmental degradation ; forestry production ; image classification ; pattern recognition ; QuickBird ; satellite imagery ; tropical forest ; woodland ; Tanzania
英文摘要: Quantification of forest degradation in monitoring and reporting as well as in historic baselines is among the most challenging tasks in national REDD+ strategies. However, a recently introduced option is to base monitoring systems on subnational conditions such as prevalent degradation activities. In Tanzania, charcoal production is considered a major cause of forest degradation, but is challenging to quantify due to sub-canopy biomass loss, remote production sites and illegal trade. We studied two charcoal production sites in dry Miombo woodland representing open woodland conditions near human settlements and remote forest with nearly closed canopies. Supervised classification and adaptive thresholding were applied on a pansharpened QuickBird (QB) image to detect kiln burn marks (KBMs). Supervised classification showed reasonable detection accuracy in the remote forest site only, while adaptive thresholding was found acceptable at both locations. We used supervised classification and manual digitizing for KBM delineation and found acceptable delineation accuracy at both sites with RMSEs of 25-32% compared to ground measurements. Regression of charcoal production on KBM area delineated from QB resulted in R2s of 0.86-0.88 with cross-validation RMSE ranging from 2.22 to 2.29Mg charcoal per kiln. This study demonstrates, how locally calibrated remote sensing techniques may be used to identify and delineate charcoal production sites for estimation of charcoal production and associated extraction of woody biomass. © 2015 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79573
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作者单位: Department of Food and Resource Economics, Faculty of Science, University of Copenhagen, Rolighedsvej 25, Frederiksberg C, Denmark; Department of Geosciences and Natural Resource Management, Faculty of Science, University of Copenhagen, Øster Voldgade 10, Københaven K, Denmark

Recommended Citation:
Dons K,, Smith-Hall C,, Meilby H,et al. Operationalizing measurement of forest degradation: Identification and quantification of charcoal production in tropical dry forests using very high resolution satellite imagery[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,39
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