Evaluation of remotely sensed indices for assessing burn severity in interior Alaska using Landsat TM and ETM+
Evaluation of remotely sensed indices for assessing burn severity in interior Alaska using Landsat TM and ETM+
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DOI：
10.1016/j.rse.2005.03.002
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发表时间：
2005-06-30
影响因子：
13.5
通讯作者：
Sorbel, B
中科院分区：
文献类型：
--
作者：
Epting, J;Verbyla, D;Sorbel, B
我们评估了13个遥感指数在阿拉斯加内陆的四个野火烧伤现场。这些指数包括单波段、波段比、植被指数和多元成分。用烧伤后及烧伤前/后指数差值评价各项指标。通过检查每个遥感指数和实地综合燃烧指数（CBI）值之间的相关性，对这些指数进行了评价。辐射温度与基于现场的CBI强烈相关时，火灾后的图像从秋天。使用红色和近红外波段的指数相对于包含中红外波段的指数表现不佳。标准化烧伤比率（NBR），其中包括近红外和中红外波段，排名前三名的指数为四个烧伤使用烧伤后的图像，并为三个四个烧伤使用前和烧伤后的图像。当根据排名相关性对指数进行求和时，烧伤后和烧伤前/后方法的NBR均最高。NBR有很高的相关性，以外地为基础的CBI在封闭针叶林，混交林和阔叶林类。然而，NBR是有用的烧伤严重程度的指数，只有森林的网站。NBR和基于现场的CBI之间的相关性是低的非森林类，如林地，灌木丛，草本土地覆盖类。(c)2005年由Elsevier Inc.出版
We evaluated 13 remotely sensed indices across four wildfire burn sites in interior Alaska. The indices included single bands, band ratios, vegetation indices, and multivariate components. Each index was evaluated with post-burn and differenced pre/post-burn index values. The indices were evaluated by examining the correlation between each remotely sensed index and field-based Composite Burn Index (CBI) values. Radiant temperature was strongly correlated with field-based CBI when a post-fire image from autumn was used. Indices that used red and near-infrared bands performed poorly relative to indices that incorporated mid-infrared bands. The Normalized Burn Ratio (NBR), which incorporates near- and mid-infrared bands, was ranked within the top three indices for each of the four burns using post-burn images, and for three of the four burns using pre- and post-burn images. When indices were summed based on ranked correlations, the NBR was highest for both the post-burn and pre/post-burn approaches. The NBR had high correlations with the field-based CBI in closed needleleaf, mixed, and broadleaf forest classes. However, the NBR was useful as an index of burn severity only for forested sites. The correlation between NBR and field-based CBI was low in non-forested classes such as woodland, scrub, and herb land cover classes. (c) 2005 Published by Elsevier Inc.