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DOI10.1088/1748-9326/11/3/034008
Humid tropical forest disturbance alerts using Landsat data
Hansen, Matthew C.1; Krylov, Alexander1; Tyukavina, Alexandra1; Potapov, Peter V.1; Turubanova, Svetlana1; Zutta, Bryan2; Ifo, Suspense3; Margono, Belinda4; Stolle, Fred5; Moore, Rebecca6
发表日期2016
ISSN1877-3435
卷号11期号:3
英文摘要

A Landsat-based humid tropical forest disturbance alert was implemented for Peru, the Republic of Congo and Kalimantan, Indonesia. Alerts were mapped on a weekly basis as new terrain-corrected Landsat 7 and 8 images were made available; results are presented for all of 2014 and through September 2015. The three study areas represent different stages of the forest land use transition, with all featuring a variety of disturbance dynamics including logging, smallholder agriculture, and agroindustrial development. Results for Peru were formally validated and alerts found to have very high user's accuracies and moderately high producer's accuracies, indicating an appropriately conservative product suitable for supporting land management and enforcement activities. Complete pan-tropical coverage will be implemented during 2016 in support of the Global Forest Watch initiative. To date, Global Forest Watch produces annual global forest loss area estimates using a comparatively richer set of Landsat inputs. The alert product is presented as an interim update of forest disturbance events between comprehensive annual updates. Results from this study are available for viewing and download at http://glad.geog.umd.edu/forest-alerts and www.globalforestwatch.org.


英文关键词global change;deforestation;monitoring;Landsat;remote sensing
语种英语
WOS记录号WOS:000373401400011
来源期刊ENVIRONMENTAL RESEARCH LETTERS
来源机构世界资源研究所
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/56147
作者单位1.Univ Maryland, College Pk, MD 20742 USA;
2.Minist Environm, Natl Forest Conservat Program Climate Change Miti, Lima, Peru;
3.Univ Marien Nguabi, Brazzaville, Rep Congo;
4.Minist Environm & Forestry, Jakarta, Indonesia;
5.World Resources Inst, Washington, DC 20006 USA;
6.Google, Mountain View, CA USA
推荐引用方式
GB/T 7714
Hansen, Matthew C.,Krylov, Alexander,Tyukavina, Alexandra,et al. Humid tropical forest disturbance alerts using Landsat data[J]. 世界资源研究所,2016,11(3).
APA Hansen, Matthew C..,Krylov, Alexander.,Tyukavina, Alexandra.,Potapov, Peter V..,Turubanova, Svetlana.,...&Moore, Rebecca.(2016).Humid tropical forest disturbance alerts using Landsat data.ENVIRONMENTAL RESEARCH LETTERS,11(3).
MLA Hansen, Matthew C.,et al."Humid tropical forest disturbance alerts using Landsat data".ENVIRONMENTAL RESEARCH LETTERS 11.3(2016).
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