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Temporal and spatial monitoring of post-fire forest dynamics using time-series MODIS data

机译:使用时间序列MODIS数据对火灾后森林动态进行时空监测

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Forest fire is one of the dominant disturbance regimes, especially in boreal forests. Identifying post-fire forest dynamics is crucial to both ecological research and forest monitoring and management. In this study, taking the most serious forest fire in the history of P. R. China as an example, we proposed to monitor the temporal and spatial characteristics of post-fire forest dynamics using MODIS Land Cover Type data and investigate their responses to MODIS Vegetation Indices values. The results indicated that the “Forests” area increased from 50.29% in 2001 to 89.35% in 2012 while that of “Cropland/Natural vegetation mosaic” decreased from 30.46% to 5.94%. The regenerated forest mainly distributed in the severe and continuous burned area. The four types of forests and three classes of land cover vegetation can be separated by Normalized Difference Vegetation Index (NDVI) while Enhanced Vegetation Index (EVI) is not applicable for the separation between forests and other vegetation types. Both the NDVI and EVI of burned forests were significantly higher than that of unburned forests, suggesting the burned forests were more productive and wit active herbaceous and new growth which were much greener than mature unburned forests that were in more of steady state, but old.
机译:森林火灾是主要的干扰制度之一,尤其是在北方森林中。查明火灾后的森林动态对于生态研究以及森林监测和管理都至关重要。在这项研究中,我们以中国历史上最严重的森林火灾为例,提出使用MODIS土地覆盖类型数据监测火灾后森林动态的时空特征,并研究其对MODIS植被指数值的响应。结果表明,“森林”面积从2001年的50.29%增加到2012年的89.35%,而“农田/天然植被镶嵌”的面积从30.46%减少到5.94%。再生林主要分布在严重而持续的烧毁地区。可以通过归一化植被指数(NDVI)区分四种森林和三类土地覆盖植被,而增强植被指数(EVI)不适用于森林与其他植被类型之间的分离。烧成林的NDVI和EVI均显着高于未烧成林,这表明烧成林具有更高的生产力和生物活性,草木和新的生长比处于稳定状态但较旧的成熟未烧成林要绿色得多。

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