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Assessment of tropical forest degradation by selective logging and fire using Landsat imagery

机译:使用Landsat影像通过选择性伐木和火灾评估热带森林退化

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摘要

Many studies have assessed the process of forest degradation in the Brazilian Amazon using remote sensing approaches to estimate the extent and impact by selective logging and forest fires on tropical rain forest. However, only a few have estimated the combined impacts of those anthropogenic activities. We conducted a detailed analysis of selective logging and forest fire impacts on natural forests in the southern Brazilian Amazon state of Mato Grosso, one of the key logging centers in the country. To achieve this goal a 13-year series of annual Landsat images (1992–2004) was used to test different remote sensing techniques for measuring the extent of selective logging and forest fires, and to estimate their impact and interaction with other land use types occurring in the study region. Forest canopy regeneration following these disturbances was also assessed. Field measurements and visual observations were conducted to validate remote sensing techniques. Our results indicated that the Modified Soil Adjusted Vegetation Index aerosol free (MSAVIaf) is a reliable estimator of fractional coverage under both clear sky and under smoky conditions in this study region. During the period of analysis, selective logging was responsible for disturbing the largest proportion (31%) of natural forest in the study area, immediately followed by deforestation (29%). Altogether, forest disturbances by selective logging and forest fires affected approximately 40% of the study site area. Once disturbed by selective logging activities, forests became more susceptible to fire in the study site. However, our results showed that fires may also occur in undisturbed forests. This indicates that there are further factors that may increase forest fire susceptibility in the study area. Those factors need to be better understood. Although selective logging affected the largest amount of natural forest in the study period, 35% and 28% of the observed losses of forest canopy cover were due to forest fire and selective logging combined and to forest fire only, respectively. Moreover, forest areas degraded by selective logging and forest fire is an addition to outright deforestation estimates and has yet to be accounted for by land use and land cover change assessments in tropical regions. Assuming that this observed trend of land use and land cover conversion continues, we predict that there will be no undisturbed forests remaining by 2011 in this study site. Finally, we estimated that 70% of the total forest area disturbed by logging and fire had sufficiently recovered to become undetectable using satellite data in 2004.
机译:许多研究已使用遥感方法评估了巴西亚马逊地区森林退化的过程,以评估选择性伐木和森林火灾对热带雨林的影响程度和影响。但是,只有少数人估计了这些人为活动的综合影响。我们对选择性砍伐和森林火灾对巴西南部亚马逊州马托格罗索州天然森林的影响进行了详细分析,该州是该国主要的伐木中心之一。为了实现这一目标,使用了13年的一系列Landsat年度图像(1992-2004年)来测试不同的遥感技术,以测量选择性伐木和森林火灾的程度,并评估其影响以及与其他土地利用类型的相互作用在研究区域。还评估了这些干扰后的林冠再生。进行了实地测量和视觉观察以验证遥感技术。我们的结果表明,在该研究区域中,改良的无土壤调节植被指数无气溶胶(MSAVIaf)是可靠的分数覆盖率估计,无论是晴天还是烟熏条件下。在分析期间,选择性伐木是造成研究区域最大比例的自然森林(31%)的原因,其次是森林砍伐(29%)。总而言之,选择性伐木和森林火灾对森林造成的干扰影响了研究场地面积的约40%。一旦受到选择性伐木活动的干扰,森林在研究地点变得更容易着火。但是,我们的结果表明,未受干扰的森林也可能发生火灾。这表明在研究区域还有其他因素可能会增加森林火灾的敏感性。这些因素需要更好地理解。尽管选择性伐木在研究期间影响了最大数量的天然林,但观察到的林冠覆盖率损失的35%和28%分别是由于森林大火和选择性伐木相结合以及仅由于森林大火造成的。此外,因选择性砍伐和森林火灾而退化的森林面积是对彻底砍伐森林的估计的补充,尚未由热带地区的土地利用和土地覆盖变化评估来说明。假设这种观察到的土地利用和土地覆盖转换的趋势继续存在,我们预测到2011年,该研究地点将不剩下未受干扰的森林。最后,我们估计2004年因伐木和火灾而受到干扰的森林总面积中有70%已得到充分恢复,以至于无法使用卫星数据检测到。

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