利用AVHRR GAC卫星数据重建俄罗斯亚洲地区(1979-2000)野火烧毁面积,为评估长期变化提供改进的基线

IF 12.2 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL
Donald R. Cahoon Jr. , Amber J. Soja , Brian J. Stocks , Stefano Potter , Natasha Jurko , Emily Gargulinski , Brendan M. Rogers , Susan G. Conard
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引用次数: 0

摘要

野火是北纬地区重要的生态扰动,与天气和气候系统有很强的相互作用。多年代际火灾记录对于评估变化的火情和植被马赛克格局至关重要。虽然阿拉斯加、加拿大和芬诺斯坎迪亚有这样的记录,但俄罗斯明显缺乏2000年以前的准确数据。在2000年以前,俄罗斯亚洲地区没有连续的中等至高分辨率数据。在这项研究中,我们使用先进的非常高分辨率辐射计(AVHRR)全球区域覆盖(GAC)数据来定义火灾疤痕,并为俄罗斯亚洲地区从1979年到2000年建立了一个连续的、长期的烧伤区域数据库。我们从每日GAC数据中生成了每月的火痕复合数据,并使用气溶胶和可见烟雾数据的组合来确认观测到的光谱变化是由火灾引起的,并确定了活跃燃烧的日期。使用可用的Landsat Thematic Mapper (TM)数据以及与先前公布的烧伤疤痕数据的相关性来评估烧伤区域的准确性。Landsat验证燃烧面积与GAC数据之间线性回归的决定系数(R2)在所有火灾样本中为0.84,在北纬53度的大于10,000公顷(ha)的大火中为0.97。遗漏委员会的分析也显示,火灾规模越大,准确率就越高。与先前发表的大量烧伤疤痕数据的总体比较,R2为0.88。最大的错误是火灾面积小于1万公顷,占燃烧面积不到7%。我们提出了季节性火灾的模式和空间和生态区域分布的烧伤地区。在一个典型的季节,火灾从南方开始,并在春季和初夏蔓延到北方。研究发现,森林燃烧面积的空间格局年际变化较大。年总烧毁面积从40万公顷到1190万公顷不等,平均每年烧毁面积为480万公顷。我们对大多数年份的估计比俄罗斯官方的烧毁面积报告高出几倍,而且通常比以前出版物中报告的烧毁面积数据要大。我们的数据代表了俄罗斯亚洲地区第一个经过验证的长期历史烧毁面积数据,为分析这些多样化和独特的生态区域、火灾制度以及天气和气候反馈之间的相互作用提供了重要的基础。当与其他北部地区的现有数据相结合时,我们的数据将能够准确评估近50年来北北极关键地区的长期火灾模式和火灾-气候相互作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reconstructing wildland fire burned area for Asian Russia (1979–2000) using AVHRR GAC satellite data to provide an improved baseline for assessing long-term change
Wildland fire is a vital ecological disturbance at northern latitudes that has strong interactions with weather and climate systems. Multi-decadal fire records are critical for assessing changing fire regimes and vegetation mosaic patterns. While such records are available for Alaska, Canada, and Fennoscandia, accurate pre-2000 data for Russia are notably lacking. Continuous moderate-to-high-resolution data for Asian Russia are not available before the 2000s. In this study we defined fire scars using Advanced Very High Resolution Radiometer (AVHRR) Global Area Coverage (GAC) data to develop a continuous, long-term, burned-area database for Asian Russia that spans from 1979 through 2000. We generated monthly composites of fire scars from daily GAC data and used a combination of aerosol and visible smoke data to confirm that observed spectral changes were due to fire and to determine dates of active burning. Accuracy of burned areas was evaluated using available Landsat Thematic Mapper (TM) data and correlations with previously published burn scar data. The coefficient of determination (R2) for linear regressions between Landsat validation burned areas and GAC data was 0.84 for all fires sampled and 0.97 for large fires greater than 10,000 ha (ha), north of 53 degrees latitude. Omission-Commission analysis also show higher accuracy with larger fires. The overall comparison with previously published large burn-scar data had an R2 of 0.88. The largest errors were with fires less than 10,000 ha, which make up less than 7 % of the burned area. We present seasonal fire patterns and spatial and ecozone distribution of burned areas. In a typical season, fires started in the south and spread to the north over spring and early summer. We observed high interannual variation in the spatial patterns of burned area. Total annual burned areas ranged from 0.4 to 11.9 million hectares (Mha), with an average burned area of 4.8 Mha per year. Our estimates for most years are several times higher than official Russian burned-area reports and are typically larger than burned-area data reported in previous publications. Our data represent the first validated long-term historical burned-area data for Asian Russia, which provides an essential basis for analyses of the interactions between these diverse and unique ecoregions, fire regimes, and weather and climate feedbacks. When combined with existing data from other northern regions, our data will enable accurate assessments of long-term fire patterns and fire-climate interactions across the critical boreal-Arctic region for almost 50 years.
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来源期刊
ISPRS Journal of Photogrammetry and Remote Sensing
ISPRS Journal of Photogrammetry and Remote Sensing 工程技术-成像科学与照相技术
CiteScore
21.00
自引率
6.30%
发文量
273
审稿时长
40 days
期刊介绍: The ISPRS Journal of Photogrammetry and Remote Sensing (P&RS) serves as the official journal of the International Society for Photogrammetry and Remote Sensing (ISPRS). It acts as a platform for scientists and professionals worldwide who are involved in various disciplines that utilize photogrammetry, remote sensing, spatial information systems, computer vision, and related fields. The journal aims to facilitate communication and dissemination of advancements in these disciplines, while also acting as a comprehensive source of reference and archive. P&RS endeavors to publish high-quality, peer-reviewed research papers that are preferably original and have not been published before. These papers can cover scientific/research, technological development, or application/practical aspects. Additionally, the journal welcomes papers that are based on presentations from ISPRS meetings, as long as they are considered significant contributions to the aforementioned fields. In particular, P&RS encourages the submission of papers that are of broad scientific interest, showcase innovative applications (especially in emerging fields), have an interdisciplinary focus, discuss topics that have received limited attention in P&RS or related journals, or explore new directions in scientific or professional realms. It is preferred that theoretical papers include practical applications, while papers focusing on systems and applications should include a theoretical background.
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