贺振,贺俊平.近32年黄河流域植被覆盖时空演化遥感监测[J].农业机械学报,2017,48(2):179-185.
HE Zhen,HE Junping.Remote Sensing on Spatio-temporal Evolution of Vegetation Cover in the Yellow River Basin during 1982—2013[J].Transactions of the Chinese Society for Agricultural Machinery,2017,48(2):179-185.
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近32年黄河流域植被覆盖时空演化遥感监测   [下载全文]
Remote Sensing on Spatio-temporal Evolution of Vegetation Cover in the Yellow River Basin during 1982—2013   [Download Pdf][in English]
投稿时间:2016-06-19  修订日期:2017-02-10
DOI:10.6041/j.issn.1000-1298.2017.02.024
中文关键词:  植被覆盖  归一化植被指数  时空演化  黄河流域
基金项目:国家自然科学基金项目(U1304404)、2014年河南省哲学社会科学规划项目(2014CJJ087)、2015年度河南省教育厅人文社会科学重点项目(2015-ZD-085)和2017年度河南省高等学校重点科研项目(17A170003)
作者单位
贺振 商丘师范学院环境与规划学院 
贺俊平 商丘师范学院环境与规划学院西北大学城市与环境学院 
中文摘要:植被覆盖动态变化及其空间格局演化研究是了解土地资源和环境变化的重要方式,对科学合理地改善生态环境具有重要意义。基于1982—2013年GIMMS-NDVI时序数据,运用均值法、变异系数法、趋势分析法、Hurst指数法,分析了黄河流域植被覆盖时空格局和演化趋势。结果表明:在时间上,黄河流域32a来NDVI月平均波峰值主要出现在5—9月份,其中以8月份的0.546居首。在年际变化方面,黄河流域植被覆盖呈现较为缓慢的增长趋势,增速为0.018/(10a);在植被覆盖变异方面,黄河流域在1982—2013年间NDVI变化总体处于低态势的波动过程,其中变异系数小于0.1的低波动变化的区域占流域总面积的53.88%;在空间分布上,黄河流域NDVI多年均值小于0.4的低植被覆盖区域约占流域总面积的24.65%,大于0.6的植被覆盖较好的区域约占流域总面积的45.73%,植被分布从北至南呈阶梯状逐渐增强的变化态势;在变化趋势上,32a间黄河流域植被覆盖整体在不断改善,约59.49%的地区植被覆盖得到了改善,约33.96%的区域植被覆盖基本没有发生变化;在变化可持续性方面,黄河流域未来植被覆盖变化类型主要是基本不变和持续改善2类,分别占流域总面积的33.56%和58.81%。
HE Zhen  HE Junping
College of Environment and Planning, Shangqiu Normal University and College of Environment and Planning, Shangqiu Normal University;College of Urban and Environmental Science, Northwest University
Key Words:vegetation cover  NDVI  spatio-temporal evolution  Yellow River Basin
Abstract:It is an important way to understand the change of land resources and the environment by studying vegetation dynamic change and spatial-temporal evolution, which has important sense to improve the ecological environment scientifically. The spatial-temporal variation of vegetation cover in the Yellow River Basin was analyzed with mean method, variation coefficient method, trend analysis method and Hurst index, based on GIMMS-NDVI time series data (1982—2013). The results showed that the peaks of monthly average NDVI over the last 32 years were occurred mainly in the period of May to September from 1982 to 2013 in the Yellow River Basin, and the maximum was 0.546 in August. In annual variation, the vegetation cover had an increasing trend at the rate of 0.018/(10a). In the NDVI variation, the low fluctuation of NDVI was in leading position in the Yellow River Basin during 1982—2013, the area with variation coefficient less than 0.1 accounted for 53.88% of the total area. In spatial distribution of annual average of NDVI, the vegetation distribution pattern presented a stepped increasing trend from north to south. The area with mean annual of NDVI less than 0.4 accounted for 24.65% of the total area in the Yellow River Basin, and about 45.73% in better vegetation cover with mean annual of NDVI more than 0.6. In changing trend, as a whole, the vegetation cover showed a trend towards improvement over the last 32 years in the Yellow River Basin. Areas showing a trend towards improvement accounted for about 59.49% of the total area, and the area with no change accounted about 33.96%. In sustainable changes, the future changing type of vegetation cover would be unchanged and continuously improved, which accounted for 33.56% and 58.81% of the total area in the Yellow River Basin, respectively.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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