Mapping a burned forest area from Landsat TM data by multiple methods
文献类型：期刊论文
| 作者 | Chen, W.1; Moriya, K.1; Sakai, T.1; Koyama, L.1; Cao, C.X.1 |
| 刊名 | Geomatics, Natural Hazards and Risk
 |
| 出版日期 | 2016 |
| 卷号 | 7期号:1页码:384-402 |
| 关键词 | SYNTHETIC-APERTURE RADAR C-BAND MICROWAVE BACKSCATTERING ERS-1 SATELLITE CROSS-SECTION 2-SCALE MODEL OCEAN SURFACE SAR IMAGES SCATTEROMETRY FIELD |
| 通讯作者 | Chen, W. (chenwei@bre.soc.i.kyoto-u.ac.jp) |
| 英文摘要 | Forest fire is one of the dominant disturbances in boreal forests. It is the primary process responsible for organizing the physical and biological attributes of the boreal biome, shaping landscape diversity and influencing biogeochemical cycles. The Greater Hinggan Mountain of China is rich in forest resources while suffers from a high incidence of forest fires simultaneously. In this study, focusing on the most serious forest fire in the history of P. R. China which occurred in this region, we made use of two Landsat-5 TM (Thematic Mapper) images, and proposed to map the overall burned area and burned forest area by multiple methods. During the mapping, the fire perimeter, as well as rivers, roads and urban areas were first extracted and masked visually, and then four indices of Normalized Difference Vegetation Index, Enhanced Vegetation Index, Vegetation Fractional Cover and Disturbance Index were calculated. For each index, the optimal threshold for separating burned from unburned forest area was determined using their histograms. For comparison, threshold segmentation using single-band reflectance was performed, in addition to a Maximum Likelihood Classifier (MLC) based supervised classification of all features and forest area alone; their accuracies were also evaluated and analysed. Among all the methods compared here, mapping by EVI threshold segmentation proved to be optimal by the comparisons of overall accuracy (99.78%) and the kappa coefficient (0.9946). Finally, the calculated burned area and burned forest area were compared with the values from official statistics. Compared with the classical methods used to report official statistics on burned areas, the remote sensing-based mapping is more objective and efficient, less labour- and time-consuming, and more repeatable. © 2014 Taylor & Francis. |
| 学科主题 | Geology; Meteorology & Atmospheric Sciences; Water Resources |
| 类目[WOS] | Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20143600008199 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39456]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1. Department of Social Informatics, Biosphere Informatics Laboratory, Graduate School of Informatics, Kyoto University, Kyoto, Japan 2. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China |
| 推荐引用方式 GB/T 7714 | Chen, W.,Moriya, K.,Sakai, T.,et al. Mapping a burned forest area from Landsat TM data by multiple methods[J]. Geomatics, Natural Hazards and Risk,2016,7(1):384-402. |
| APA | Chen, W.,Moriya, K.,Sakai, T.,Koyama, L.,&Cao, C.X..(2016).Mapping a burned forest area from Landsat TM data by multiple methods.Geomatics, Natural Hazards and Risk,7(1),384-402. |
| MLA | Chen, W.,et al."Mapping a burned forest area from Landsat TM data by multiple methods".Geomatics, Natural Hazards and Risk 7.1(2016):384-402. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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