Assessment of Ecological Disturbance Caused by Flood and Fire in Assam Forests, India, Using MODIS Time Series Data of 2001-2011

D. Dutta, Akanksha Balha, Prabir Kumar Das, Pragyan Jain, Libeesh Lukose, W. Akram
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Abstract

The forest area of Assam State is known for its rich biodiversity. In the present study, the disturbance regime within the Assam forest area caused by periodic flood and forest fire, was assessed using the Moderate Resolution Imaging Spectroradiometer (MODIS) time-series (2001–2011) data. The MODIS Global Disturbance Index (MGDI) images were generated using MODIS derived Enhanced Vegetation Index (EVI) and Land Surface Temperature (LST) images. The temporal intensity of flood and forest fire in sixteen representative forests was analyzed to develop the MGDI based thresholds for detecting the disturbed area. The threshold for the non-instantaneous disturbance, i.e. flood, was found to be 107% whereas it was 111% for instantaneous disturbance, i.e. forest fire. The thresholds were applied on the MGDI images to delineate disturbed caused by flood and fire, separately for each year. The time-series disturbance areas were integrated over the years (2001–2011) to generate the classified disturbance prone maps.
基于2001-2011年MODIS时间序列数据的印度阿萨姆邦森林洪火生态干扰评价
阿萨姆邦的森林地区以其丰富的生物多样性而闻名。在本研究中,使用中分辨率成像光谱仪(MODIS)时间序列(2001-2011)数据评估了阿萨姆邦森林地区由周期性洪水和森林火灾引起的扰动状态。利用MODIS增强植被指数(Enhanced Vegetation Index, EVI)和地表温度(Land Surface Temperature, LST)图像生成MODIS全球扰动指数(MGDI)图像。分析了16个代表性森林的洪水和森林火灾的时间强度,建立了基于MGDI的干扰区检测阈值。非瞬时扰动(如洪水)的阈值为107%,而瞬时扰动(如森林火灾)的阈值为111%。将阈值分别应用于每年的MGDI图像上,以描绘洪水和火灾造成的干扰。对2001-2011年的时间序列扰动区域进行整合,生成分类扰动易发图。
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