近10年汾河流域植被覆盖时空变化研究
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摘要
本文基于MODIS遥感影像,采用VFC指数反演了汾河流域2004~2013年16 d步长的植被覆盖时空演化过程。结合研究区气温、降水、海拔、坡度、坡向5个自然环境因子,定性评价与定量统计相结合分析VFC的空间格局及时间演化规律,探索植被覆盖与环境因子的时空分布关系。结果表明:植被覆盖在流域边缘,即对应的吕梁山区和太行山区状况较好;植被覆盖与降水的相关性表现为北部高,南部低的特点;植被覆盖与气温的相关性表现为流域边缘高,中间低的特点。从时间分布来看,植被覆盖与降水和气温的分布曲线具有一致的波形,但波峰提前一个步长。从植被的地形分布来看,植被覆盖率在坡度为0°~3°的阴坡,海拔为500 m以下最高。
Based on MODIS remote sensing images, the VFC index is used to retrieve the spatial and temporal evolution process of vegetation coverage in the Fen River Basin at 16 D step lengths from 2004 to 2013. Combined with 5 natural environment factors, temperature, precipitation, elevation, slope and slope aspect in the study area, qualitative evaluation and quantitative statistics were used to analyze the spatial pattern and temporal evolution of VFC, and to explore the temporal and spatial distribution relationship between vegetation cover and environmental factors. The results showed the vegetation coverage is better at the edge of the basin, that is, the corresponding Lvliang mountain area and Taihang Mountain Area. The correlation between vegetation cover and precipitation is high in the north and low in the south, the correlation between vegetation cover and temperature is high in edge and low in center. From the time distribution, the distribution curve of vegetation cover is consistent with that of precipitation and temperature, but the crest of the wave is a step length in advance, from the topographic distribution of vegetation, there was the highest vegetation coverage at a schattenseite of 0°~3° slope and below 500 m altitude.
Based on MODIS remote sensing images, the VFC index is used to retrieve the spatial and temporal evolution process of vegetation coverage in the Fen River Basin at 16 D step lengths from 2004 to 2013. Combined with 5 natural environment factors, temperature, precipitation, elevation, slope and slope aspect in the study area, qualitative evaluation and quantitative statistics were used to analyze the spatial pattern and temporal evolution of VFC, and to explore the temporal and spatial distribution relationship between vegetation cover and environmental factors. The results showed the vegetation coverage is better at the edge of the basin, that is, the corresponding Lvliang mountain area and Taihang Mountain Area. The correlation between vegetation cover and precipitation is high in the north and low in the south, the correlation between vegetation cover and temperature is high in edge and low in center. From the time distribution, the distribution curve of vegetation cover is consistent with that of precipitation and temperature, but the crest of the wave is a step length in advance, from the topographic distribution of vegetation, there was the highest vegetation coverage at a schattenseite of 0°~3° slope and below 500 m altitude.
引文
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[2]王兮之,陆龙,梁钊雄.青海湟水流域植被覆盖度时空变化分析[J].水土保持研究,2010,17(6):172-176
[3]朴世龙,方精云.最近18年来中国植被覆盖的动态变化[J].第四纪研究,2001,21(4):294-302
[4]汪明霞,王卫东.植被覆盖度的提取方法研究综述[J].黄河水利职业技术学院学报,2013,25(2):23-26
[5]李琳,谭炳香,冯秀兰.北京郊区植被覆盖变化动态遥感监测—以怀柔区为例[J].农业网络信息,2008(6):38-41
[6]姜烨.孙建国,李庆.基于像元二分模型的植被覆盖度遥感信息提取[J].科技信息,2013(10):168-170
[7]梁四海,陈江,金晓媚,等.近21年青藏高原植被覆盖变化规律[J].地球科学进展,2007,22(1):33-40
[8]陈国荣,刘健,施聪智,等.基于GIS和遥感技术的植被覆盖度反演模型[J].北华大学学报:自然科学版,2010,11(3):251-254
[9]秦伟,朱清科,张学霞,等.植被覆盖度及其测算方法研究进展[J].西北农林科技大学学报:自然科学版,2006,34(9):163-170
[10]周兆叶,储少林,王志伟,等.基于NDVI的植被覆盖度的变化分析—以甘肃省张掖市甘州区为例[J].草叶科学,2008,25(12):23-29
[11]张学珍,朱金峰.1982~2006年中国东部植被覆盖度的变化[J].气候与环境研究,2013,18(3):365-374
[12]章文波,符素华,刘宝元.目估法测量植被覆盖度的精度分析[J].北京师范大学学报:自然科学版,2001,37(3):402-408
[13]龙晓闽,周忠发,张会,等.基于NDVI像元二分模型植被覆盖度反演喀斯特石漠化研究——以贵州毕节鸭池示范区为例[J].安徽农业科学,2010(8):4184-4186
[14]李晓香,陈媛丽.基于NDVI的鹤壁市植被覆盖动态分析研究[J].河南科技2014(7):188
[15]詹起林.基于森林植被指数的快速生态评价[D].上海:上海师范大学,2012
[16]聂勇,范建容,贺秀斌,等.水土流失遥感调查中植被信息提取与评价指标讨论[J].水土保持通报,2007,37(4):10-14
[17]蒋友严,韩涛,王有恒,等.石羊河调水10a来民勤绿洲生态脆弱性变化[J].干旱区研究,2014,31(1):157-162