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Mapping and monitoring deforestation and forest degradation in Sumatra (Indonesia) using Landsat time series data sets from 1990 to 2010

机译:使用1990年至2010年的Landsat时间序列数据集来绘制和监测苏门答腊岛(印度尼西亚)的毁林和森林退化

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As reported by FAO (2005 State of the World's Forests (Rome: UNFAO), 2010 Forest Resource Assessment (FRA) 2010/095 (Rome: UNFAO)), Indonesia experiences the second highest rate of deforestation among tropical countries. Hence, timely and accurate forest data are required to combat deforestation and forest degradation in support of climate change mitigation and biodiversity conservation policy initiatives. Within Indonesia, Sumatra Island stands out due to the intensive forest clearing that has resulted in the conversion of 70% of the island's forested area through 2010. We present here a hybrid approach for quantifying the extent and change of primary forest in Sumatra in terms of primary intact and primary degraded classes using a per-pixel supervised classification mapping followed by a Geographic Information System (GIS)-based fragmentation analysis. Loss of Sumatra's primary intact and primary degraded forests was estimated to provide suitable information for the objectives of the United Nations Framework on Climate Change (UNFCCC) Reducing Emission from Deforestation and Forest Degradation (REDD and REDD+) program. Results quantified 7.54?Mha of primary forest loss in Sumatra during the last two decades (1990–2010). An additional 2.31?Mha of primary forest was degraded. Of the 7.54?Mha cleared, 7.25?Mha was in a degraded state when cleared, and 0.28?Mha was in a primary state. The rate of primary forest cover change for both forest cover loss and forest degradation slowed over the study period, from 7.34?Mha from 1990 to 2000, to 2.51?Mha from 2000 to 2010. The Geoscience Laser Altimeter System (GLAS) data set was employed to evaluate results. GLAS-derived tree canopy height indicated a significant structural difference between primary intact and primary degraded forests (mean height 28?m ±?8.7?m and 19?m ±?8.2?m, respectively). The results demonstrate a method for quantifying primary forest cover stand-replacement disturbance and degradation that can be replicated across the tropics in support of REDD+?initiatives.
机译:根据粮农组织的报告(2005年世界森林状况(罗马:联合国粮农组织),2010年森林资源评估(FRA)2010/095(罗马:联合国粮农组织)),印度尼西亚的毁林率是热带国家中第二高的。因此,需要及时而准确的森林数据来应对森林砍伐和森林退化,以支持减缓气候变化和生物多样性保护政策举措。在印度尼西亚境内,苏门答腊岛之所以能脱颖而出,是因为密集的森林砍伐活动已导致该岛70%的森林面积在2010年之前发生了转变。原始完整和原始降级类,使用每个像素监督的分类映射,然后进行基于地理信息系统(GIS)的碎片分析。据估计,苏门答腊主要原始森林和主要退化森林的损失为联合国气候变化框架(UNFCCC)减少毁林和森林退化造成的排放(REDD和REDD +)计划的目标提供了适当的信息。结果量化了过去二十年(1990-2010年)苏门答腊的7.54?Mha主要森林流失。另外还有2.31?Mha的原始森林退化。在清除的7.54?Mha中,清除后的7.25?Mha处于降解状态,而在清除时为0.28?Mha。在研究期间,森林覆盖率丧失和森林退化的原始森林覆盖率变化速度减慢,从1990年至2000年的7.34?Mha降至2000年至2010年的2.51?Mha。用于评估结果。 GLAS得出的树冠高度表明原始森林和原始退化森林之间存在显着的结构差异(平均高度分别为28?m±?8.7?m和19?m±?8.2?m)。结果证明了一种量化原始森林覆盖物林分替代干扰和退化的方法,该方法可以在热带地区复制,以支持REDD +?倡议。

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