Combining MODIS and Landsat imagery to estimate and map boreal forest cover loss
Combining MODIS and Landsat imagery to estimate and map boreal forest cover loss
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DOI：
10.1016/j.rse.2008.05.006
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发表时间：
2008-09-15
影响因子：
13.5
通讯作者：
Pittman, Kyle
中科院分区：
文献类型：
--
作者：
Potapov, Peter;Hansen, Matthew C.;Pittman, Kyle
北方森林是最广泛的森林生物群落之一，由于其在全球木材储存、碳固存和沉积方面的独特作用，以及对全球气候变化影响的高度脆弱性，森林覆盖变化的估计对北方森林十分重要。我们使用时间序列数据的中分辨率成像光谱仪（MODIS），以产生年度森林覆盖损失热点地图。这些地图被用来分配所有区块（18.5乘18.5公里），将北方生物群落划分为森林覆盖丧失可能性高、中、低的地层。使用2000年和2005年的高空间分辨率陆地卫星图像，对118个区块的分层随机样本进行了森林覆盖和森林覆盖损失的解释。2000年至2005年，北方生物群落内的森林覆盖面积总损失估计为生物群落总面积的1.63%（标准误差为0.10%），2000年森林覆盖面积减少了4.02%。已查明的森林覆盖面积损失相对于区域森林面积的比例在北美比欧亚大陆高得多（5.63%至3.00%）。在已确定的森林覆盖损失总额中，58.9%可归因于野火。中分辨率成像光谱仪的泛北方变化热点估计显示，由于2002年和2003年的野火，森林覆盖损失显着增加，2003年是5年研究期间损失的高峰年。总的来说，从陆地卫星数据和价值的MODIS衍生的地图显示的空间和时间模式的森林损失的总森林覆盖损失估计的精度证明了本协议的有效性的操作，成本效益高，及时的全生物群监测森林覆盖总损失。(C)2008年爱思唯尔公司All rights reserved.
Estimation of forest cover change is important for boreal forests, one of the most extensive forested biomes, due to its unique role in global timber stock, carbon sequestration and deposition, and high vulnerability to the effects of global climate change. We used time-series data from the MODerate Resolution imaging Spectroradiometer (MODIS) to produce annual forest Cover loss hotspot maps. These maps were used to assign all blocks (18.5 by 18.5 km) Partitioning the boreal biome into strata of high, medium and low likelihood of forest cover loss. A stratified random sample of 118 blocks was interpreted for forest cover and forest cover loss using high spatial resolution Landsat imagery from 2000 and 2005. Area of forest cover gross loss from 2000 to 2005 within the boreal biome is estimated to be 1.63% (standard error 0.10%) of the total biome area, and represents a 4.02% reduction in year 2000 forest cover. The proportion of identified forest cover loss relative to regional forest area is much higher in North America than in Eurasia (5.63% to 3.00%). Of the total forest cover loss identified, 58.9% is attributable to wildfires. The MODIS pan-boreal change hotspot estimates reveal significant increases in forest Cover loss due to wildfires in 2002 and 2003, with 2003 being the peak year of loss within the 5-year Study period. Overall, the precision of the aggregate forest cover loss estimates derived from the Landsat data and the Value of the MODIS-derived map displaying the spatial and temporal patterns of forest loss demonstrate the efficacy of this protocol for operational, cost-effective, and timely biome-wide monitoring of gross forest cover loss. (C) 2008 Elsevier Inc. All rights reserved.