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1.
《The Professional geographer》2013,65(2):331-344
This paper examines the strength of relationships between the Normalized Difference Vegetation Index (NDVI) and climatic data, when examined at the mesoscale. Mean monthly AVHRR NDVI data for 1988-1996 for the months of April through October for State of Kansas, its nine climatic divisions (CDs), and dominant land cover types within each CD were used. Corresponding climatic and water budget data were obtained or derived from National Climatic Data Center data. Temperature, precipitation, and NDVI deviations from normal were determined. Statistical analysis revealed significant relationships between NDVI and climatic variables, although strengths of the associations were modest. The highest correlation coefficient (r) for the state as a whole was 0.53, between NDVI and estimated actual evapotranspiration. When examined by climatic division or major land cover type, relationships between NDVI and a drought index were statistically significant in most cases and ranged from 0.30 to 0.56. 相似文献
2.
1982~2013年青藏高原高寒草地覆盖变化及与气候之间的关系 总被引：7，自引：2，他引：5
利用GIMMS NDVI数据和地面气象站台观测数据,对青藏高原1982~2013年高寒草地覆盖时空变化及其对气象因素的响应进行研究,结果表明：青藏高原高寒草地生长季NDVI表现为从东南到西北逐渐减少的趋势,近32 a来,整个高原草地生长季NDVI呈上升趋势,增加速率为0.000 3/a (p<0.05);高寒草地生长季NDVI年际变化具有空间异质性,整体为增加趋势,呈增加趋势的面积约占研究区域面积的75.3%,其中显著增加的占26.0% （p<0.05）,类型主要为分布在青藏高原东北部地区的高寒草甸;比例为4.7%,草地类型主要为高寒草原,主要分布在高原西部地区;基于生态地理分区的分析显示,青藏高原草地与降水、温度的相关关系具有明显的空间差异,高寒草地生长季NDVI均值与降水呈显著正相关,对降水的滞后效应显著;高原东北部温度较高,热量条件较好,降水为高寒草地生长季NDVI变化的主导因子;东中部地区降水充沛,温度则为高寒草地生长的制约因子;南部地区降水和温度都较适宜,均与高寒草地生长季NDVI相关性显著(p< 0.05),共同作用于草地的生长;中部和西部地区,气候因子与高寒草地生长季NDVI关系均不显著。 相似文献
3.
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
4.
河西地区绿洲NDVI的演变特征及与气候因子的关系分析 总被引：2，自引：0，他引：2
选取NOAA和NASAPathfinder AVHRR陆面资料中的1982-2000年中国区域的NDVI逐月数据,进行河西地区植被覆盖状况分析,探讨河西绿洲植被的演变规律,分析研究河西地区NDVI的年际变化特征,发现近20年来额济纳绿洲是明显退化的;临泽和民勤是明显的正值,金塔绿洲也为正值,但值较小。从时间段上来说,1982-1984年,NDVI处于相对高值段,各绿洲有所发展;1985-1989年是NDVI的低值段,绿洲退化;1990-1995是NDVI的高值段,绿洲的发展很明显;1996年开始,NDVI有所下降,绿洲有所退化。对1982-2000年河西绿洲的降水、气温、地温、及各内陆河的径流资料与河西绿洲中部临泽、民勤、金塔、额济纳旗四个绿洲的NDVI作了相关分析,研究了河西中部地区绿洲发展和气候变化及水资源的关系,发现河西中部地区绿洲NDVI与前期3、4月份的气温、降水、内陆河径流的关系较好,与5月份地气温差的相关关系较好。 相似文献
5.
气候变化和生态建设对秦岭—淮河南北植被动态的影响 总被引：1，自引：1，他引：0
论文基于2000—2019年秦岭—淮河南北MODIS-NDVI植被覆盖数据,对中国南北过渡带植被时空变化进行分析,并探讨植被动态变化驱动因素。结果表明：① 在趋势变化上,2000—2019年秦岭—淮河南北植被显著恢复。其中,秦巴山区植被恢复面积占比最高,其次是巫山山区和关中平原;植被退化区面积占比仅为6.4%,主要分布于长三角城市群。② 在气候因素上,NDVI变化与气温显著相关(P<0.05)面积占比为9.1%,低于降水(13.1%)和日照时数(14.5%)显著区域,无显著相关区域分布面积最广,说明在关键生长季(5—9月),区域水热条件较好,植被年际波动受气候变化影响区域较少。③ 在驱动因素上,受气候因素和生态建设驱动绿化占比分别为19.2%和30.0%,其中,生态建设驱动绿化区与秦巴山区、大别山生态修复工程,川东、长江中下游撂荒地空间格局一致,说明耕地转为生态用地是区域植被快速恢复的主要原因。研究结果对量化湿润—半湿润地区植被驱动因素,优化生态建设评估模型具有启示意义。 相似文献
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冀北地区植被指数变化特征及影响因素分析 总被引：4，自引：1，他引：3
利用8km分辨率的NOVV/AVHRR NDV I数据、土地利用/覆被变化TM影像解译数据、气候数据、DEM数据和经济统计数据,对冀北地区1987~2000年植被覆被变化特征及影响因素进行了分析,得出主要结论如下:冀北地区土地覆被变化下NDVI平均增加值为0.35,变化特征为集中连片。土地利用变化导致NDVI平均减小值为0.17,变化特征呈斑块状离散分布。土地利用类型变化、错季蔬菜生产等人为因素对土地覆被变化下NDVI变化贡献率较低,降水、特别是生长季降水分布特征是影响NDVI变化的重要因素。 相似文献
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Kaishan Song Zongmin Wang Qingfeng Liu Dianwei Liu V. V. Ermoshin S. S. Ganzei Bai Zhang Chunying Ren Lihong Zeng Jia Du 《Geography and Natural Resources》2011,32(1):9-15
There is a need for improved and up-to-date land use/land cover (LULC) data sets over an intensively changing area in the Amur River Basin (ARB) in support of science and policy applications focused on understanding of the role and response of the LULC to environmental change issues. The main goal of this study was to map LULC in the ARB using MODIS 250-m Normalized Difference Vegetation Index (NDVI), Land Surface Vegetation Index (LSWI), and reflectance time series data for 2001 and 2007. Another goal was to test the consistency of the classification results using relatively coarse resolution MODIS imagery data in order to develop a methodology for rapid production of an up-to-date LULC data set. The results on MODIS land cover were evaluated using existing land use/cover data as derived from Landsat TM data. It was found that the MODIS 250-m NDVI data sets featured sufficient spatial, spectral and temporal resolution to detect unique multi-temporal signatures for the region’s major land cover types. It turned out that MODIS 250 NDVI time series data have high potential for large-basin land use/land cover monitoring and information updating for purposes of environmental basin research and management. 相似文献
8.
气候和土地利用变化对塔里木河干流区植被覆盖变化的影响 总被引：4，自引：0，他引：4
基于遥感和地理信息系统技术,利用1998—2008年SPOT-VEGETATION归一化植被指数（NDVI）数据对塔里木河干流区1998—2007年植被覆盖的时空变化进行了监测,并从气候变化和土地利用变化双重角度分析了植被覆盖变化的原因。研究表明,塔里木河干流区植被覆盖变化经历了两个阶段:1998—2001年植被覆盖严重退化时期;2002—2007年植被覆盖度由急剧上升到缓慢下降再到持续升高时期,NDVI明显高于20世纪末期水平。塔里木河干流区植被覆盖变化存在显著的空间差异,绿洲农业灌溉区和退耕还林还草生态恢复区的植被覆盖度显著提高,天然草地植被区的植被退化严重。塔里木河干流区植被覆盖变化是气候和土地利用变化共同作用的结果。温度对植被覆盖变化的影响表现为对植被生长年内韵律的控制和秋季植被生长期的延长,年降水量的波动式上升是导致塔里木河干流区植被覆盖变化两个阶段呈现差异的主导因素。 相似文献
9.
The relationship between monthly vegetation cover anomalies and climate in the Hulunbei'er steppe were studied through analyzing the relationship between regional normalized difference vegetation index (NDVI) and climatic variables, and NDVI and tree-ring width during the growing season (May–October). The local moisture (dry/wet) and temperature (cold/warm) variations largely affected the vegetation cover and the radial growth of Mongolian pines (Pinus sylvestiris Linnaeus var. mongolica Litvinov) in the steppe. Monthly precipitation and Palmer drought severity index (PDSI) data from the previous to the current growing seasons were positively correlated to regional vegetation cover and radial growth of Mongolian pines; however, negative correlations were found between temperature and vegetation variables. A reconstruction of monthly vegetation cover dynamics for the growing season was created and spans 116 years (from 1891 to 2006). The results show that the total numbers of anomalies for dense and sparse seasonal vegetation cover is 22 years over the 116 year record; about 5–7 relatively dense or sparse periods; and ∼2–8 years significant periodicities (p < 0.05). Linkages to the Pacific Ocean and Arctic Ocean regimes were also detected. 相似文献
10.
2000-2012年祁连山植被覆盖变化及其与气候因子的相关性 总被引：5，自引：1，他引：4
研究祁连山地区植被覆盖变化及其与气候因子的响应关系对这一地区土地利用总体特征以及对区域及全球气候和环境变化都将产生深远的意义。利用2000-2012年美国国家航空航天局提供的MODIS NDVI数据并结合相应的气候资料,通过对逐像元信息的提取和分析,运用均值法、斜率分析法、相关分析法,研究了2000-2012年不同季节祁连山植被覆盖的时空变化及其与气候因子的相关性。结果表明:13 a来祁连山植被覆盖整体上呈增加趋势,其中春季植被改善最为明显,秋季次之;植被覆盖变化在不同季节都存在明显的空间差异;不同季节植被与气温、降水的时滞效应不尽相同;祁连山春季大部分地区NDVI与气温呈显著正相关,夏季NDVI与降水呈显著正相关,秋、冬季NDVI与降水、气温的相关性不明显。 相似文献
11.
Land managers need sound, evidence-based information about land degradation patterns and about the effectiveness of their management responses. Obtaining such information is particularly difficult in Mediterranean grazing lands and forests, where a long history of anthropogenic pressure, high topographical and climatic variability, and frequent disturbances combine to create a highly diverse and unstable environment.Our study aimed at designing a methodology to provide land managers in three data-scarce drylands in Spain, Greece, and Cyprus with spatially explicit, up-to-date information on the state of their land, the pressures driving land degradation, and the effectiveness of their management efforts using remotely sensed NDVI data. To translate NDVI values into a land degradation assessment, we analysed the variance of the annual average NDVI within different landscape units, which we identified based on land cover, aspect, and slope steepness parameters. After calibrating and validating the land degradation mapping methodology using field observations, we related the obtained land degradation patterns with spatial information about grazing and wildfire, as well as controlled grazing and afforestation practices.Our methodology proved useful to assess land degradation and management measures in dry, semi-natural ecosystems. It also provided insights into the role of landscape in modulating land degradation. Results indicate that grazing is a significant cause of land degradation even in partially abandoned areas; repeated fires have a negative impact; slope steepness increases the land's sensitivity to grazing; north- and east-facing slopes are less sensitive to fire in the long term than south- and west-facing slopes; and the effectiveness of responses to land degradation is substantially affected by land cover and topography.The methodology presented can be used to overcome the lack of spatially explicit information on the state of the land in drylands of the Mediterranean and beyond, or as a basis for more in-depth studies to plan restoration interventions. 相似文献
12.
《自然地理学》2013,34(2):107-136
The study of land surface-atmosphere interactions is vital to understanding climatic variations in the Earth's planetary boundary layer, particularly given continual land cover modifications by humans on local to regional scales. An agriculturally important region ideal for the study of land surface-atmosphere interactions is the Midwest United States "Corn Belt." To evaluate the mesoscale relationships between Corn Belt land surface properties and a key indicator of the surface-atmosphere feedback in humid climates—warm-season convective cloud development—conventional meteorological data, digital maps of land surface properties, and satellite data were examined in a GIS framework for the May-September periods of 1991 through 1999. The results indicate associations between the surface and atmospheric moisture content and the formation of convective clouds: cumulus clouds initiate first and persist longer over a dry (moist) surface with an initially dry (moist) atmosphere. These relationships are evident when forcing from the free atmosphere is either extremely weak (i.e., when fronts and other disturbances are absent and 500 mb winds are <7 ms-1), weak (same as extremely weak, except 500 mb winds are 7-13 ms-1), or strong (same as extremely weak, except 500 mb winds >18 ms-1). However, the association between convective cloud development and other land surface properties (e.g., land use-land cover [LULC], soil order, elevation, and slope) is not consistent spatially. We find that a surface moisture-convective cloud relationship dominates Corn Belt land surface-atmosphere interactions across a range of barotropic synoptic conditions under different atmospheric moisture contents. The study results can help lead to improved prediction of convective cloud formation, and more realistic modeling of land surface-atmospheric interactions for weather and climate forecasting. 相似文献
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洞庭湖流域植被动态变化的小波多分辨率分析 总被引：1，自引：0，他引：1
将离散小波多分辨率分析（MRA）应用于归一化植被指数（NDVI）时间序列研究,分解NDVI原数据序列成不同时间尺度的子序列,从而进行植被动态变化分析。针对洞庭湖流域的NDVI时间序列进行多尺度分解,挖掘这些数据中潜在的植被季节性和年际变化,对其进行评估,并结合土地覆盖变化与降水趋势变化分析引起该变化的可能原因。结果表明：小波多分辨率分析能提取洞庭湖流域植被动态的相关信息,如NDVI的年际成分均值、最低值、植被年内变化的振幅、NDVI最大值出现的月份和土地覆盖变化的趋势及幅度,这些信息有效刻画了流域植被动态变化特征。此外,将土地覆盖变化分析结果与降水数据相结合进行分析,发现流域植被覆盖的变化与降水变化有明显的关联性,其中西部地区和西北部地区植被动态变化对降水响应最为明显。但是有些地区降水没有明显减少趋势,而植被覆盖却存在减少趋势,则可能与该地地势较高、城镇化建设等其他因素相关。 相似文献
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基于地表覆盖物光谱特征的土地覆被分类系统--以鄱阳湖流域为例 总被引：8，自引：1，他引：7
土地覆被主要表现为陆地表面的形态特性和动态变化特征,土地利用是其动态变化的外在驱动力,植被是土地覆被的“主要”而非唯一的组成部分,土地覆被也包含着它的功能特性。地表覆被物的光谱特征及其季节性变化规律是土地覆被的本质特征,也是土地覆被分类的基本依据之一;利用遥感资料所表达的地表覆被物特征值 (如以NDVI为指标的绿度值、始绿期、终绿期、波形、峰值、谷值等) 可以方便地对土地覆被分类标准进行量化处理;对于一些复杂的复合单元,应着重于它的组合 (包括组成成分和结构) 特性及其对地面过程的影响来赋予更确切的内涵。据此,构建了包含7个一级类别和20个二级类别的开放式 (open-end) 的鄱阳湖流域土地覆被分类系统,并且应用SPOT4-VEGETATION 的时序NDVI数据,对各类别的面积比重进行了分析,结果显示鄱阳湖流域的现状覆被主要由常绿覆被和作物-树-草混合覆被以及人工栽培植被 (作物) 等构成。 相似文献
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雅鲁藏布江流域NDVI变化与 主要气候因子的关系 总被引：10，自引：3，他引：10
对流域NDVI进行计算的前提下,分析了雅鲁藏布江流域NDVI时空变化特征。时间上,流域NDVI具有很强的季节性。空间上,流域NDVI高值区主要分布于下游与中游的部分地区,而流域中上游与源头NDVI值相对较小。在流域DEM的支持下,把流域站点主要气候因子降水量与平均气温等数据采用Kriging方法插值成与流域NDVI相一致的空间Grid数据。流域NDVI与降水量、平均气温的关系进行F检验与双样本方差分析结果P＝0,表明其相关分析的可信度较高。在0.05的置信水平上对其进行了线性与对数相关分析。结果表明,流域NDVI与降水量的平均线性相关系数达0.8,对数相关系数为0.71;流域NDVI与流域平均气温线性相关系数为0.77,对数相关系数为0.7。 相似文献
19.
Melkamu Meseret Alemu 《资源与生态学报(英文版)》2019,10(1):77-85
Analysis of the nexus between vegetation dynamics and climatic parameters like surface temperature is essential in environmental and ecological studies and for monitoring of the natural resources. This study explored the spatio-temporal distribution of land surface temperature (LST) and Normalized Difference Vegetation Index (NDVI) and the relationship between them in the Andassa watershed from 1986 to 2016 periods using Landsat data. Monthly average air temperature data of three meteorological sites were used for validating the results. The findings of the study showed that the LST of the Andassa watershed has increased during the study periods. Overall, average LST has been rising with an increasing rate of 0.081°C per year. Other results of this study also showed that there has been a dynamic change in vegetation cover of the watershed in all seasons. There was also a negative correlation between LST and NDVI in all the studied years. From this study we can understand that there has been degradation of vegetation and intensification of LST from 1986 to 2016. 相似文献
20.
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