| 基于MODIS NDVI的西双版纳植被覆盖变化趋势研究 |
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| 引用本文： | 许婧, 刘飞鹏, 王建雄, 边琳. 基于MODIS NDVI的西双版纳植被覆盖变化趋势研究[J]. 西南林业大学学报, 2018, 38(5): 145-153.doi:10.11929/j.issn.2095-1914.2018.05.023 |
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| 作者姓名： | 许婧 刘飞鹏 王建雄 边琳 |
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| 作者单位： | 1. 云南农业大学水利学院，云南省高校农业遥感与精准农业工程研究中心，云南 昆明 650201;2. 国家林业局昆明勘察设计院，云南 昆明 650216 |
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| 基金项目： |
摘要:西双版纳作为中国特有的热带雨林生物多样性保护热点地区，分析其植被覆盖变化意义重大。基于MODIS NDVI遥感数据，利用M-K检验和方差评价法，在时间和空间上对2001—2015年西双版纳植被覆盖变化进行趋势分析。结果表明：月变化呈典型底部单峰式分布，年迹变化趋势呈波动上升，季节变化与植物生长期一致；空间分布受气候条件、经济价值、生态恢复等影响，东部地区植被覆盖高于西部，中、东部地区覆盖变化波动明显；研究区植被指数年迹、季节、月变化特征基本符合当地植被生长季节特点。 |
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| 摘 要： | 西双版纳作为中国特有的热带雨林生物多样性保护热点地区，分析其植被覆盖变化意义重大。基于MODIS NDVI遥感数据，利用M-K检验和方差评价法，在时间和空间上对2001—2015年西双版纳植被覆盖变化进行趋势分析。结果表明：月变化呈典型底部单峰式分布，年迹变化趋势呈波动上升，季节变化与植物生长期一致；空间分布受气候条件、经济价值、生态恢复等影响，东部地区植被覆盖高于西部，中、东部地区覆盖变化波动明显；研究区植被指数年迹、季节、月变化特征基本符合当地植被生长季节特点。
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| 关 键 词： | 西双版纳 NDVI 遥感 植被 变化趋势 |
| 收稿时间： | 2018-05-05 |
Change Trend of Vegetation Cover in Xishuangbanna Based on MODIS NDVI |
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| Jing Xu, Feipeng Liu, Jianxiong Wang and Lin Bian. Change Trend of Vegetation Cover in Xishuangbanna Based on MODIS NDVI[J]. Journal of Southwest Forestry University, 2018, 38(5): 145-153.doi:10.11929/j.issn.2095-1914.2018.05.023 |
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| Authors: | Jing Xu Feipeng Liu Jianxiong Wang Lin Bian |
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| Affiliation: | 1. Research Center of Agricultural Remote Sensing and Precision Agriculture Engineering in Yunnan Universities, College of Water Conservancy, Yunnan Agricultural University, Kunming Yunnan 650201, China;2. China Forest Exploration & Design Institute in Kunming, State Forestry Administration, Kunming Yunnan 650216, China |
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| Abstract: | Xishuangbanna, as an unique hotspot for the conservation of tropical rain forest in China, is of great significance in analyzing the change of vegetation cover. Based on MODIS NDVI remote sensing data, the M-K test and variance evaluation method were used to analyze the trend of vegetation cover change in Xishuangbanna from 2001 to 2015 in time and space. The results show that the monthly variation shows a typical unimodal distribution, the trend of annual trace fluctuated and the seasonal variation is consistent with the plant growth period. From the spatial sequence analysis, the vegetation cover in the eastern part is higher than that in the western part, and the changes in the cover in the middle and eastern parts have obvious fluctuations. It shows that annual, seasonal and monthly variations of vegetation index in the study area are basically in line with the characteristics of the local vegetation growing season. |
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| Keywords: | Xishuangbanna NDVI remote sensing vegetation trend |
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