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1.
干旱地区植被指数(VI)的适宜性研究 总被引：28，自引：10，他引：18
以位于典型干旱区的甘肃河西地区石羊河下游的民勤绿洲为例,对NDVI、SAVI、MSAVI和GEMI等4种VI(植被指数)受土壤背景光谱影响的程度和探测低盖度植被的能力进行了对比研究。通过分析VI提取植被信息时植被土壤噪音比的变化发现,植被覆盖较低条件下VI提取植被信息总体受土壤背景光谱影响程度较低,相比而言,GEMI提取植被信息中受土壤背景影响最小,其他3种VI的区别不太明显。通过分析不同VI随植被覆盖度增加的反映速率变化及不同覆盖条件下不同VI的取值范围的变化发现,NDVI探测低盖度植被的能力最强,GEMI次之。GEMI可能是干旱地区植被探测较适宜的植被指数。 相似文献
2.
黄河头道拐—潼关区间植被恢复及其对水沙过程影响 总被引：1，自引：0，他引：1
黄河头道拐—潼关区间是黄河泥沙的主要来源区,也是中国植被恢复最快的地区。植被的快速恢复对径流和输沙过程产生了深远影响。本文基于250 m分辨率的归一化植被指数数据（MOD13Q1 NDVI）,使用统计分析和趋势分析技术,分析了头道拐—潼关区间不同景观单元植被恢复特点、影响因素以及其对水沙过程的影响,并对头道拐—潼关区间植被未来发展趋势进行了预测。研究结果显示：头道拐—潼关区间82.87%区域的植被呈显著增加趋势（p < 0.05）,且植被恢复速度最快的区域为半湿润的黄土丘陵沟壑区,坡度和降水量在不同景观单元下对植被恢复的影响不同。随着降水量的增加,头道拐—潼关区间NDVI和年降水量的相关性降低。在植被恢复背景下,黄河中游主要河流径流的主要影响因素仍然是降水量,输沙量同时受到降水量和植被恢复的影响,含沙量与NDVI呈现出较强的负相关关系,而与降水量的相关性较弱。随着植被覆盖度的增加,流域土壤侵蚀量降低,河流输沙量也呈降低趋势,土壤侵蚀量对河流输沙量的贡献率变化于39%~88%之间。基于植被恢复潜力和恢复速度,本文预测头道拐—潼关区间2020年、2030年、2040年以及2050年的NDVI平均值将分别达到0.68、0.75、0.79以及0.80。 相似文献
3.
The Normalized Difference Vegetation Index (NDVI), as a key indicator of vegetation growth, effectively provides information regarding vegetation growth status. Based on the Global Inventory Monitoring and Modeling System (GIMMS) NDVI time series data for Kazakhstan from 1982 to 2015, we analyzed the spatial pattern and changes in the vegetation growth trend. Results indicated that the three main types of vegetation in Kazakhstan are cropland, grassland and shrubland, and these are distributed from north to south. While the regional distribution pattern is obvious, the vegetation index decreased from north to south. The average NDVI values of the three main vegetation types are in the order of cropland > grassland > shrubland. During the period from 1982 to 2015, the NDVI initially increased (1982-1992), then decreased (1993-2007), and then increased again (2008-2015). The areas where NDVI decreased significantly accounted for 24.0% of the total land area. These areas with vegetation degradation are mainly distributed in the northwest junction between cropland and grassland, and in the cropland along the southern border. The proportions of total grassland, cropland and shrubland areas that were degraded are 23.5%, 48.4% and 13.7%, respectively. Areas with improved vegetation, accounting for 11.8% of the total land area, were mainly distributed in the mid-east cropland area, and the junction between cropland and grassland in the mid-east region. 相似文献
4.
Birger Ulf Hansen M.Sc. 《Geografisk tidskrift / udgivet af Bestyrelsen for Det Kongelige danske geografiske selskab》2013,113(1):94-99
Birger Ulf Hansen: Satellite Monitoring of the Biomass Production in Southern Greenland. Geografisk Tidsskrift 88:94–99. Copenhagen, 1988. Based on satellite data from Southern Greenland the application of Normalized Difference Vegetation Index (NDVI) for monitoring biomass production has been evaluated. Field measurements of spectral reflectance data are quantitatively correlated with clipped samples of total above-ground biomass production. The relation between NDVI measured on the ground and biomass production is discussed. The seasonal and geographical variation in NDVI is correlated with the climate and water balance. The potential production is estimated as the product of mean NDVI and the length of the growing season. The results suggest that operational satellite monitoring of NDVI provides valuable assistance in agricultural management and forward planning of the potential breeding capacity in an arctic/subarctic environment. 相似文献
5.
研究利用遥感和气象数据以及改进后的CASA模型（生物温度代替月均温）,估算俄罗斯布里亚特共和国2000-2008年的植被NPP,并验证模型的精度,分析该地区植被NPP的时空分布格局及其对气候变化的响应规律。研究结果表明：改进后的CASA模型具较高精度,可运用于布里亚特共和国植被NPP的估算。时间上,植被NPP年际上呈现为在波动中上升的趋势,月份上表现为先升后降的单峰变化趋势;空间上,植被NPP呈现出随经度的增加而增大,随纬度的增加而减小,由西南到东北逐渐递增的分布格局;不同植被类型的NPP从大到小依此为：草地、沼泽林〉森林〉森林、草原〉稀树草原〉高山植被。该地区植被NPP的变化主要受气温和降水量变化的作用。 相似文献
6.
TVDI用于干旱区农业旱情监测的适宜性 总被引：8，自引：0，他引：8
基于地表温度/植被指数(Ts/VI)特征空间建立的温度植被干旱指数(TVDI)受诸多因素的影响,其中一个重要的影响因素是植被指数,该指数在高、低植被覆盖时的敏感性不同,从而导致TVDI对旱情监测的准确度不同.针对这一问题,以新疆塔里木盆地北缘渭干河-库车河三角洲绿洲为研究区,选择2011年4月、8月两景TM影像,利用归一化植被指数(NDVI)和比值植被指数(RVI)分别建立Ts/VI特征空间,线性拟合特征空间的上、下边界,计算得到两种温度植被干旱指数(TVDI-NDVI、TVDI-RVI).用TVDI与同期野外实测的土壤含水量数据进行回归分析.结果表明:(1)植被指数、地表温度、土壤水分之间有显著互动关系,以不同植被指数计算得到的两种TVDI与表层土壤水分相关性较好,均能够反映区域土壤干旱状况;(2)由于植被指数对植被探测的敏感性,在4月低植被覆盖时,TVDI-NDVI与表层土壤水分的相关性较高,为0.4299,8月高植被覆盖时,TVDI-RVI与表层土壤水分的相关性较高,达到0.5791;(3)在低植被覆盖区域,NDVI较RVI敏感,而在高植被覆盖区域,RVI敏感性较高.RVI适用于高植被覆盖时反演土壤湿度,NDVI则更适用于中、低植被覆盖时. 相似文献
7.
利用CiteSpace软件对1995—2017年中国知网的"SCI来源期刊"、"EI来源期刊"、"核心期刊"以及"CSSCI来源期刊"数据库中有关干旱遥感监测研究的642篇文献进行可视化分析得到知识图谱。结果表明:国内经历了传统基于站点的干旱监测、小范围的干旱遥感监测试验到大范围干旱遥感监测及应用三个阶段;干旱遥感监测主要从"干旱监测"、"遥感监测"、"温度植被干旱指数"、"土壤湿度"、"地表温度"以及"归一化植被指数"等方向展开;王鹏新、张树誉、张强等是主要的发文作者;中国科学院、中国气象局、中国农业大学等是主要的发文机构。基于多源信息的干旱综合监测模型、大范围干旱监测评估、预警以及决策支持系统、干旱遥感监测技术在社会服务方面的应用以及加强国内学者与机构之间的交流合作是未来国内干旱监测研究几个重要方面。 相似文献
8.
Vegetation greenness is a key indicator of terrestrial vegetation activity. To understand the variation in vegetation activity in spring across eastern China (EC), we analysed the variation in the Normalised Difference Vegetation Index (NDVI) from April to May during 1982-2006. The regional mean NDVI across EC increased at the rate of 0.02/10yr (r2=0.28; p=0.024) prior to 1998; the increase ceased, and the NDVI dropped to a low level thereafter. However, the processes of variation in the NDVI were different from one region to another. In the North China Plain, a cultivated area, the NDVI increased (0.03/10yr; r2=0.52; p<0.001) from 1982 to 2006. In contrast, the NDVI decreased (-0.02/10yr; r2=0.24; p=0.014) consecutively from 1982 to 2006 in the Yangtze River and Pearl River deltas, two regions of rapid urbanisation. In the eastern region of the Inner Mongolian Plateau and the lower reaches of the Yangtze River in East China, the NDVI increased prior to 1998 and decreased thereafter. In the Hulun Buir area and the southern part of the Yangtze River Basin, the NDVI increased prior to 1998 and remained static thereafter. The NDVI in the grasslands and croplands in the semi-humid and semi-arid areas showed a significant positive correlation with precipitation, while the NDVI in the woodlands in the humid to semi-humid areas showed a significant positive correlation with temperature. As much as 60% of the variation in the NDVI was explained by either precipitation or temperature. 相似文献
9.
Remote-sensing models have become increasingly popular for identifying, characterizing, monitoring, and predicting avian habitat but have largely focused on single bird species. The Normalized Difference Vegetation Index (NDVI) has been shown to positively correlate with avian abundance and richness and has been successfully applied to southwestern riparian systems which are uniquely composed of narrow bands of vegetation in an otherwise dry landscape. Desert riparian ecosystems are important breeding and stopover sites for many bird species but have been degraded due to altered hydrology and land management practices. Here we investigated the use of NDVI, coupled with vegetation, to model the avian community structure along the San Pedro River, Arizona. We also investigated how vegetation and physical features measured locally compared to those data that can be gathered through remote-sensing. We found that NDVI has statistically significant relationships with both avian abundance and species richness, although is better applied at the individual species level. However, the amount of variation explained by even our best models was quite low, suggesting that NDVI habitat models may not presently be an accurate tool for extensive modeling of avian communities. We suggest additional studies in other watersheds to increase our understanding of these bird/NDVI relationships. 相似文献
10.
近30 年来呼伦贝尔地区草地植被变化对气候变化的响应 总被引：50，自引：4，他引：46
基于1981-2006 年的GIMMS NDVI数据和2000-2009 年的MODIS NDVI数据反演呼伦贝尔地区草地变化,结合1981-2009 年该地区7 个气象站点的气温和降水数据,分别从年际变化、季节变化和月变化角度分析该地区草地变化对气候变化的响应。结果表明,从年际变化来看,降水是驱动草地植被年际变化的主要因素;从季节变化来看,草地植被生长在不同季节对水热条件变化的敏感性不同,春季草地植被生长对气温变化的敏感性较降水变化高,夏季和秋季草地植被的生长对降水变化的敏感性则高于对气温变化的敏感性,其中以夏季最为显著;从月变化来看,4 月和5 月草地植被变化受气温变化影响较明显;5-8 月与前一月降水变化关系密切,说明植被生长对降水变化具有一定的滞后性;4 月正值草本植物萌芽期,而4 月份草地生长与年气温变化关系最为密切,一定程度上说明4 月份表征植被生长的NDVI值增加可能是由于气候变暖引起的草地植被生长季提前产生的。综上所述,通过植被与气候要素月变化的关系可以具体地揭示气温和降水对草地植被生长的季节韵律控制。 相似文献
11.
12.
青藏高原中东部植被覆盖对水热条件的响应研究 总被引：3，自引：1，他引：2
植被覆盖的变化常是自然因子和人类活动的综合作用,分析植被对水热条件的响应关系有助于认识人类活动在地表植被变化中的作用程度。本文旨在结合1982~2000年地面气象观测资料和NOAA卫星的AVHRR 植被指数（8km）,对气象站点分布相对密集的青藏高原中东部的NDVI（归一化植被指数）空间变化同水热条件的响应关系进行分析。通过水热有关指标的趋势面模拟、植被类型比较和样带分析,表明：在青藏高原中东部地区,水热条件组合较好（如常绿针叶林）或较差（如荒漠半荒漠）的区域,多年平均的NDVI旬值同水热条件的相关性不强;而范围广阔的水热条件组合中等区域（如高山草甸/草原）同水热条件相关性很高;青藏高原周边区域植被对水热条件相对不敏感,而高原主体部分植被覆盖同水热的相关性则很高（0.75以上）;此外,海拔对热量条件影响很大,进而影响植被覆盖。 相似文献
13.
In Northeast Thailand, the climate change has resulted in erratic rainfall and tem- perature patterns. The region has experienced both periods of drought and seasonal floods with the increasing severity. This study investigated the seasonal variation of vegetation greenness based on the Normalized Difference Vegetation Index （NDVI） in major land cover types in the region. An assessment of the relationship between climate patterns and vegeta- tion conditions observed from NDVI was made. NDVI data were collected from year 2001 to 2009 using multi-temporal Terra MODIS Vegetation Indices Product （MOD13Q1）. NDVI pro- files were developed to measure vegetation dynamics and variation according to land cover types. Meteorological information, i.e. rainfall and temperature, for a 30 year time span from 1980 to 2009 was analyzed for their patterns. Furthermore, the data taken from the period of 2001-2009, were digitally encoded into GIS database and the spatial patterns of monthly rainfall and temperature maps were generated based on kriging technique. The results showed a decreasing trend in NDVI values for both deciduous and evergreen forests. The highest productivity and biomass were observed in dry evergreen forests and the lowest in paddy fields. Temperature was found to be increasing slightly from 1980 to 2009 while no significant trends in rainfall amounts were observed. In dry evergreen forest, NDVI was not correlated with rainfall but was significant negatively correlated with temperature. These re- sults indicated that the overall productivity in dry evergreen forest was affected by increasing temperatures. A vegetation greenness model was developed from correlations between NDVI and meteorological data using linear regression. The model could be used to observe the change in vegetation greenness and dynamics affected by temperature and rainfall. 相似文献
14.
锡林郭勒草原植被生长对降水响应的滞后性研究 总被引：5，自引：3，他引：2
植被生长对气候因子变化的响应一直是全球气候变化研究的热点.NDVI作为植被生长的有效指示因子广泛的应用在植被遥感中.多数滞后性响应的研究基于月尺度或季节尺度的NDVI,容易夸大或缩小滞后效应,不利于滞后时间的确定.为了揭示降水对草原植被生长的有效作用尺度,本研究以2001年至2007年MODIS反射率数据和气象站点的降水为数据源,分析了时间间隔8天的内蒙古锡林郭勒盟草原生长季NDVI的变化特征以及NDVI与不同尺度的累积降水的相关关系.结果表明,年内生长期草原的NDVI变化呈单峰型,荒漠草原的NDVI变化没有草甸草原和典型草原明显.草原生长对降水存在明显的滞后,一般在50～60天,不同类型的草原滞后时间不同,但均无明显差异.同时,分析指出4～9月草原植被在不同时间段对降水响应的滞后时间分别为64、80、40、40、56和64天,特别是6月和7月份草原植被生长对降水变化的响应最为敏感.这为NDVI预测干旱提供参考. 相似文献
15.
绿洲植被覆盖度遥感信息提取——以敦煌绿洲为例 总被引：1，自引：0，他引：1
以敦煌绿洲为研究区,利用Landsat TM遥感数据,通过归一化植被指数(NDVI)和混合像元分解两种方法,提取了敦煌绿洲的植被覆盖度信息。在基于NDVI提取植被覆盖度时,选取了基于NDVI的像元二分模型; 在混合像元分解过程中,对遥感影像进行波段反射率归一化处理和最小噪声变换(MNF),确定了3个类型端元:植被、不透水表面/土壤、水体/阴影; 最后利用高分辨率遥感影像验证对比了两种提取方法的精度。结果表明:混合像元分解更能准确地提取敦煌地区植被覆盖度信息,其线性相关系数为0.8915,均方根误差为0.0882,而且提取结果更符合实际情况,可以为敦煌植被状况监测及生态环境保护提供科学建议。 相似文献
16.
Inter-annual variability and interaction of remote-sensed vegetation index and atmospheric precipitation in the Aral Sea region 总被引：10，自引：0，他引：10
The remotely sensed Normalized Difference Vegetation Index (AVHRR NDVI) and precipitation data were analysed in the Aral Sea region in Central Asia during two recent decades. Both variables exhibited pronounced seasonal variation, with maximum precipitation in March and maximum NDVI in May–June. The regions of synchronous seasonal and inter-annual variability between the vegetation index and precipitation were distinguished using the Empirical Orthogonal Functions (EOF) method and time-lagged correlations between EOF modes. At a seasonal scale, precipitation and the vegetation index were correlated with a time lag from 1 to 6 months in different regions with peak plant growth following precipitation maxima. 相似文献
17.
Vegetation greenness is a key indicator of terrestrial vegetation activity. To under-stand the variation in vegetation activity in spring across eastern China (EC), we analysed the variation in the Normalised Difference Vegetation Index (NDVI) from April to May during 1982-2006. The regional mean NDVI across EC increased at the rate of 0.02/10yr (r2=0.28; p=0.024) prior to 1998; the increase ceased, and the NDVI dropped to a low level thereafter. However, the processes of variation in the NDVI were different from one region to another. In the North China Plain, a cultivated area, the NDVI increased (0.03/10yr; r2=0.52; p<0.001) from 1982 to 2006. In contrast, the NDVI decreased (-0.02/10yr; r2=0.24; p=0.014) consecu-tively from 1982 to 2006 in the Yangtze River and Pearl River deltas, two regions of rapid urbanisation. In the eastern region of the Inner Mongolian Plateau and the lower reaches of the Yangtze River in East China, the NDVI increased prior to 1998 and decreased thereafter. In the Hulun Buir area and the southern part of the Yangtze River Basin, the NDVI increased prior to 1998 and remained static thereafter. The NDVI in the grasslands and croplands in the semi-humid and semi-arid areas showed a significant positive correlation with precipitation, while the NDVI in the woodlands in the humid to semi-humid areas showed a significant positive correlation with temperature. As much as 60% of the variation in the NDVI was ex-plained by either precipitation or temperature. 相似文献
18.
基于SPOT VEGETATION数据的中国西北植被覆盖变化分析 总被引：66，自引：16，他引：66
基于遥感和地理信息系统的技术,利用SPOT-VEGETATION NDVI(Normalized Difference Vegetation Index)数据对我国西部地区植被覆盖的情况进行了动态监测。采用MVC（Maximum Value Composites）、一元线性回归趋势分析和变化幅度百分比等方法分析西部地区植被变化特征,并结合西北五省土地利用类型图,分析不同植被类型的年最大化NDVI(MNDVI)变化趋势及特点。其结果是:近7 a来植被覆盖存在普遍退化的趋势,且2000-2001与2001-2002年度的变化幅度较大。在局部区域植被有改善的趋势, 但总的改善幅度小于退化幅度。分析结果表明, 植被改善的区域主要分布在陕西和宁夏的大部分地区以及新疆西北部和西南部地区。大部分地区植被退化。而且不同植被的MNDVI在相同的年份表现出相似的变化特点和趋势。 相似文献
19.
马铃薯是华南地区的特色冬种农作物,其地块的“早稻―晚稻―冬种马铃薯”三季种植模式具有特有的植被指数时间序列曲线特征。利用这一特征,提出一种基于 NDVI 时间序列数据和 SAM 的冬种马铃薯种植面积提取方法。以广东省惠州市稔平半岛为研究区,冬种马铃薯面积为研究对象,采用 2011 年 HJ-1 A/B CCD 遥感数据为主要数据,计算每一景影像的 NDVI 后以时间为坐标轴排列成 NDVI 时间序列数据集,在此提取冬种马铃薯种植区的 NDVI 时间序列参考曲线,使用光谱角度匹配（SAM）方法,计算每个像元的 NDVI 时间序列曲线与 NDVI时间序列参考曲线的光谱夹角值,根据 Rule 图像的统计参数确定夹角阈值,达到快速有效地在遥感影像上提取冬种马铃薯对应像元的目的。结果表明：研究区总体提取精度为 82.70%,重点种植区域提取精度为 93.75%,可见基于 NDVI 物候特征的 SAM 方法能够有效提取研究区冬种马铃薯的种植面积。 相似文献
20.
NDVI能够反映地表覆盖和生态环境变化。在祁连山东延余脉采集树轮样本,分析树木径向生长与植被NDVI的相关关系,并重建历史时期植被NDVI变化。结果表明：树木径向生长与夏季NDVI受到水热条件变化的显著影响,且树轮宽度与夏季NDVI显著正相关,采用简单线性回归方法建立二者的拟合方程,方差解释量达0.600（R2adj=0.582,F=34.472,P<0.0001）;公元1845年以来,重建的NDVI序列显示植被覆盖相对较低时期有19世纪60年代,80年代初期,20世纪初期和20-30年代,其中20世纪20-30年代NDVI低值期与中国北方大范围旱灾一致;重建的NDVI与旱涝指数显著负相关,证实重建NDVI序列的可靠,且显示该区旱涝演化趋势;周期分析表明公元1845年以来,NDVI序列存在2-3年、5年左右、13年左右和15年左右的振荡。 相似文献