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DOI | 10.1088/1748-9326/11/3/034008 |
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 |
ISSN | 1877-3435 |
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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