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1.
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
2.
高时空分辨率降雨数据的获取对陆地水循环研究至关重要。遥感卫星反演降水产品虽然能有效再现降雨的空间格局,但存在空间分辨率较低的问题。以植被指数NDVI(Normalized Difference Vegetation Index)和海拔高度为自变量,通过构建太行山区GPM降水(Global Precipitation Measurement Mission)的时滞地理加权回归模型,得到了2014—2016年研究区1 km分辨率GPM降水数据。研究结果表明：利用植被指数和海拔高度构建的时滞地理加权回归模型能够有效地对太行山月尺度GPM降雨数据进行尺度下延,在提高GPM数据空间分辨率的同时保留了原始数据的观测精度。考虑NDVI的时滞性提高了地理加权回归模型的降尺度效果,相对于多元线性回归模型和不考虑NDVI时滞效应的地理加权回归模型,时滞地理加权回归模型的降尺度结果与站点实测数据的确定性系数更高,RMSE更低。冬季降雨与第二年春季植被NDVI的关系较为密切,虽然采用第二年春季的NDVI作为解释变量构建降尺度模型能有效地提高冬季降雨的降尺度效果,但基于植被指数和海拔高度构建的时滞地理加权回归模型更加适用于植被生长季GPM降雨数据的降尺度研究。 相似文献
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4.
藏西南高原植被覆盖时空变化及其与气候因素和人类活动的关系 总被引：1，自引：0，他引：1
研究基于MODIS-NDVI数据和气象数据,利用趋势分析、相关分析及残差分析等方法,分析了2000―2020年藏西南高原植被NDVI在不同时段的时空变化特征及气候因素和人类活动对植被NDVI的影响,结果表明：近20 a来藏西南高原植被NDVI呈增加趋势,不同时段植被NDVI增长速率存在显著差异,主要表现为秋季>生长季>夏季>全年>春季>冬季;不同时段植被NDVI的分布格局虽存在差异,但高原东部植被覆盖度明显高于西部地区;高原大部分区域植被状态基本稳定,局部明显改善,部分区域有所退化;年际尺度上,气温和降水的增加导致植被NDVI升高,季节尺度上,春季、秋季和冬季气温升高导致植被NDVI升高,降水的增加导致植被NDVI下降,夏季和生长季气温升高导致植被NDVI下降,降水升高导致植被NDVI增加;人类活动对高原大部分区域呈正面影响,局部地区呈负面影响,集中分布在半农半牧和纯牧业县区。 相似文献
5.
This paper describes the spatial and temporal relationship between AVHRR/NDVI (Normalized Difference Vegetation Index) and climatological parameters (temperature and precipitation), which, in some sense, is influenced by topographical factors and land-cover types in Colorado. The correlation coefficients and partial correlation coefficients have been computed pixel by pixel over Colorado in order to analyze the relationship. The temporal variation and correlation of AVHRR/NDVI, temperature and precipitation were analyzed with a sampling method. The study reveals that there exists a close correspondence between monthly NDVI and temperature, which has strong impact from temperature on the changes of NDVI in Colorado. The spatial changes of NDVI are not influenced obviously by the precipitation since these two variables are different from each other in time series in Colorado. The study clearly revealed the spatial variation and its distribution patterns of relationship between NDVI and climatic parameters (temperature and precipitation) in Colorado. 相似文献
6.
The temporal and spatial relationship between NDVI and climatological parameters in Colorado 总被引：3，自引：1，他引：3
1 Introduction In recent years, many researchers have demonstrated that there are essential and evident correlations between NDVI and climatological parameters (temperature and precipitation). The analysis of correlation between climate forces and time-integrated NDVI over US Northern and Central Great Plains suggested that spatial and temporal variation of precipitation and potential evapotranspiration and growing degree days in growing season are the most important control on grassland… 相似文献
7.
青藏高原对全球气候研究具有重要意义,而降水数据对水文、气象和生态等领域的研究也至关重要,且随着研究内容和尺度的变化,对高时空分辨率的历史降水数据的需求越发迫切。本文基于TRMM 3B43降水数据,采用随机森林算法,引入归一化植被指数(AVHRR NDVI)、高程(SRTM DEM)、坡度、坡向、经度、纬度6个地理因子,建立历史降水重建模型,获得1982-1997年分辨率为0.0833°的青藏高原年降水数据,然后根据比例系数法计算出月降水数据。为提高精度,利用站点数据对月降水数据进行校正。结果表明,该方法能简单有效地获得高时空分辨率的历史降水数据,决定系数R2大部分在0.4~0.9之间,平均值为0.6767,其中夏季效果最好,冬季效果最差;均方根误差RMSE和平均绝对误差MAE均在50 mm以下,RMSE均值为22.66 mm,MAE均值为15.97 mm;偏差Bias较小,基本在0.0~0.1之间。 相似文献
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在全球气候变暖的背景下,地表反照率已成为地表辐射平衡和气候研究的重要参数之一。利用中国陆地生态系统研究网络（Chinese Ecosystem Research Network,CERN）提供的34个站点辐射数据、GLASS地表反照率产品、ERA-Interim再分析资料、MODIS EVI（MOD13A3）和中国气象数据共享网提供的气象数据,基于Sen's Slope趋势分析方法,分析不同生态系统地表反照率的变化特征;利用全子集回归和分层分解方法计算地表反照率与各要素之间的相关性和相对重要性;探讨各气候因子对地表反照率的影响。结果表明,2000—2017年裸土地和裸岩砾石地变化率最大,冬季斜率达-0.083% yr-1。生长季地表反照率与降水、增强型植被指数（Enhanced Vegetation Index,EVI）、土壤水分和气温显著相关的像元分别占总像元的73%、79%、56%和86%。EVI是干旱和半干旱地区地表反照率变化的主导因素,其对地表反照率变化的独立贡献率分别为41%和56.18%。7月东北地区降水量和气温对地表反照率的影响大约滞后2个月;内蒙古沙漠地区和长江中下游平原土壤水分对地表反照率的影响大约滞后1~2个月。 相似文献
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Changing climate affects vegetation growth in the arid region of the northwestern China 总被引：13，自引：0，他引：13
The northwestern China is a typical dry-land region of Inner Asia, where significant climate change has been observed over the past several decades. How the regional vegetation, particularly the grassland-oasis-desert complex, responds to such climatic change is poorly understood. To address this question, we investigated spatio-temporal changes in vegetation growth and their responses to a changing climate by biome and bioregion, using satellite-sensed Normalized Difference Vegetation Index (NDVI) data from 1982 to 2003, along with corresponding climate data. Over the past 22 years, about 30% of the total vegetated area showed an annual increase of 0.7% in growing season NDVI. This trend occurred in all biomes and all bioregions except Sawuer, a subregion of the study area with no significant climate change. Further analyses indicated that NDVI change was highly correlated with the current precipitation and evapotranspiration in growing season but was not associated with temperature. We also found that NDVI was positively correlated with the preceding winter precipitation. These findings suggest that precipitation may be the key cause of vegetation growth in this area, even for mountain forests and grasslands, whose growth are often regarded to be limited by low temperate in winter and early spring. 相似文献
10.
应用遥感数据研究中国植被生态系统与气候的关系 总被引：48，自引：2，他引：48
应用1982-1994年NOAA/AVHRR的归一化植被指数（NDVI）资料和587个气象台站的数据对我国不同类型植被生态系统和气候的关系进行研究，首先将我国的植被类型划分为21类，在此基础上分别研究了不同时间尺度下我国不同区域，不同植被类型和气候的关系。结果表明：在多年平均状态下，植被生态系统NDVI水平主要受水分条件的影响；年内变化上，温度对植被生态系统季相变化化起着比降水略大的作用，年降水量造成了植被季相响应的差异，在年际变化上，分别研究了4个季节和整个生长期尺度上的关系，一般情形为温度和降水对植被的年际波动起着大致相反的作用，不同植被类型在不同的生长时期（季节）对气候的变化响应方式也不同，发现在植被的生长期，我国南方和北方的植被生态系统对温度和降水的响应方式相反；同时存在2个植被-气候敏感区，分别为我国北方的典型草原到森林的过渡区和云南中部部分区域。 相似文献
11.
京津唐城市群不透水地表增长格局以及水环境效应 总被引：11，自引：2，他引：9
不透水地表(Impervious Surface Area,ISA) 时空格局是城市化与全球环境变化交互影响下的土地利用/覆盖变化-生态系统过程-区域气候变化相互作用机理以及导致的环境效应研究的重要内容。如何快速准确地实现区域尺度不透水地表遥感信息的获取是上述研究面临的重要瓶颈问题。本研究嵌入中国LUCC 信息改进了基于MODIS NDVI 与夜间灯光指数(DMSP-OLS) 提取不透水地表信息的方法,反演了2000 年与2008 年京津唐城市群2 期250 m不透水地表信息,进而分析其变化的时空格局,结合子流域单元与河流污染物监测数据评价其对海河流域地表水环境的影响。结论表明：受环渤海经济区,天津滨海新区开发等政策的影响,京津唐城市群在21 世纪初8 年不透水地表沿着城-乡梯度带、城市交通廊道及海岸带高速增长。城乡建设用地不透水地表增长呈现显著的时空差异特征,由于北京市受人口-资源-环境的压力,产业发展不断向周边地区转移,天津与河北唐山、廊坊、秦皇岛三市具有更快的不透水地表增长速度。京津唐城市群城市高密度的不透水地表分布对于海河流域地表水环境产生严重影响,不透水地表的增长加剧了流域河流水质的污染程度。同时也发现,子流域不透水地表面积比例与COD、NH3-N浓度均值呈现显著的线性关系。 相似文献
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利用TM影像分析天山北坡三工河流域地表反照率的时空变化 总被引：3，自引：1，他引：2
下垫面状况是影响地表反照率分布的主要因素之一。利用遥感方法获取地表反照率时空特征是研究地表下垫面状况的有效手段。天山北坡具有典型的山地－绿洲－荒漠景观和山盆地貌格局,这一独特且复杂多样的地表下垫面特征形成了特有的垂直分布的地表反照率。通过对三工河流域TM影像进行地形校正,基于6S(Second Simulation of Satellite Signal in the Solar Spectrum)模型分析地表反照率的时空分布。结果表明:基于中空间分辨率遥感数据的地表反照率反演适合于地表起伏明显的天山北坡地表反照率的分析。由于受到地表覆被类型及地表干湿程度的影响,三工河流域地表反照率呈明显的垂直地带性分布。中山森林带和低山干草原带受地形起伏和阴阳坡作用,其地表反照率表现出有规律的上下波动。绿洲区随着地表覆被类型、作物结构和作物物候的变化,地表反照率波动较大。 相似文献
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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
14.
洞庭湖植被对降水的响应 总被引：2，自引：1，他引：1
We analyzed the Normalized Difference Vegetation Index (NDVI) from satellite images and precipitation data from meteorological stations from 1998 to 2007 in the Dongting Lake wetland watershed to better understand the eco-hydrological effect of atmospheric precipitation and its relationship with vegetation. First,we analyzed its general spatio-temporal distribution using its mean,standard deviation and linear trend. Then,we used the Empirical Orthogonal Functions (EOF) method to decompose the NDVI and precipitation data into spatial and temporal modes. We selected four leading modes based on North and Scree test rules and analyzed the synchronous seasonal and inter-annual variability between the vegetation index and precipitation,distinguishing time-lagged correlations between EOF modes with the correlative degree analysis method. According to our detailed analyses,the vegetation index and precipitation exhibit a prominent correlation in spatial distribution and seasonal variation. At the 90% confidence level,the time lag is around 110 to 140 days,which matches well with the seasonal variation. 相似文献
15.
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
16.
基于1982-2015年生长季（5~10月）GIMMS-MODIS融合数据、气象数据,利用一元线性回归和相关分析等方法研究柴达木盆地及各流域植被NDVI的时空演变及其与气候要素的关系。结果表明：（1）柴达木盆地植被整体上趋于改善,NDVI与气温和降水呈显著正相关。（2）盆地内各流域NDVI呈现不同程度的增长趋势,区域气候差异明显,盆地东部NDVI平均值与气温和降水的关系表现为以1989年和2002年为转折点的3段式特征,而盆地西部呈现出以1994-1995年为节点的2段式特征。（3）盆地东西部植被对气候要素响应的差异性显著,这可能与高原季风、西风环流及下垫面等因素有关。 相似文献
17.
陕西MODIS/NDVI的区域分布和季节变化 总被引：5，自引：0，他引：5
利用MODIS数据研究植被指数的时空变化特征,可以较详细地反映不同类型植被在其生长周期内的长势情况,以及各类植被生长状况在空间上的过渡和差异性。利用2004年全年的MODIS资料,采用NDVI多时相最大值合成法（MVC）,生成了一年的月合成NDVI数据集产品,分析表明：①陕西MODIS/NDVI年平均值为0.39,变化范围在-0.54～0.85之间。NDVI的年内频率分布只有在冬季（1月）呈现单峰型,其他季节均表现为双峰型。②冬季陕西NDVI的分布南北差异较小;春季延安以北和延安以南差异明显;夏季和秋季NDVI 值的分布体现了陕北北部长城沿线风沙区、黄土高原丘陵沟壑区稀疏植被、陕北南部子午岭和黄龙山林区森林植被、关中农田植被、秦巴山地森林植被和农田植被以及它们的地表差异特征。③不同植被类型的NDVI季节变化差别显著,这种NDVI时间序列曲线如实地反映了各种类型植被的生长规律,并能区分它们在生长规律上的细微差别,这又为植被区划、农作物种植面积的遥感监测提供了理论和实践基础。 相似文献
18.
The Bowen ratio (β) is used to quantify heat transfer from the land surface into the air, which is becoming a hot topic in research on the biogeophysical effects of land use and cover changes. The Three-River Headwaters (TRH), as a sensitive and fragile region, was selected as the study area. The β for 2001-2018 was estimated from the evapotranspiration product (ETMOD16) of MODIS and the net radiation of the land surface through the albedo from GLASS. The ETMOD16 data were evaluated against the observation data (ETOBS) at two alpine grassland flux towers obtained from ChinaFLUX. The interannual trend of the β was analyzed by multiple linear regression (MLR) and structure model (SEM) with the multiple factors of precipitation, temperature, humidity, albedo, and normalized difference vegetation index (NDVI, MOD09Q1). The results show that the ETMOD16 values were significantly correlated with ETOBS, with a correlation coefficient above 0.70 (P < 0.01) for the two sites. In 2001-2018, the regional mean β was 2.52 ± 0.77 for the whole grassland, and its spatial distribution gradually increased from the eastern to western region. The interannual β showed a downward trend with a slope of -0.025 and a multiple regression coefficient (R 2) of 0.21 (P = 0.056). Most of the variability (51%) in the interannual β can be explained by the linear regression of the above multiple factors, and the temperature plays a dominant role for the whole region. The SEM analysis further shows that an increasing NDVI results in a decreasing albedo with a path coefficient of -0.57, because the albedo was negatively correlated with NDVI (R 2 = 0.52, P < 0.01), which indicates a negative and indirect effect on β from vegetation restoration. An obvious warming climate was found to prompt more evapotranspiration, and restoring vegetation makes the land surface receive more radiation, which both resulted in a decreasing trend in the annual β. This study revealed the biogeophysical mechanisms of vegetation restoration under a changing climate, and demonstrated the Bowen ratio can be applied as an indicator of climate-regulating functions in ecosystem assessments. 相似文献
19.
近15a新疆不同类型植被NDVI时空动态变化及对气候变化的响应 总被引：4，自引：0，他引：4
为了研究新疆不同类型植被对气候变化的响应,以地带性划分的植被类型作为研究对象,1998-2012年为时间尺度,利用GIS的空间分析方法结合数学统计方法,分析了新疆各地带植被覆盖变化的时空分布特征;并采用"多元回归+残差插值"的方法,模拟了气温和降水量的空间分布;利用SPOT VGT/NDVI数据以及气候数据(气温和降水量数据),分析了5个不同地带植被的动态变化、年际变化和生长季内各月变化及其对气候变化的响应。结果表明:(1)新疆各地带植被覆盖度存在着显著差异,其中,温带北部草原地带高植被区和浓密植被区的范围较广,植被覆盖度较高,而高寒荒漠地带的极低植被区占该地带面积的一半以上,且植被覆盖度最低。(2)新疆各地带植被覆盖在近15 a间呈波动增加的趋势,5个地带的植被覆盖均有所改善,其中,高寒荒漠地带和暖温带半灌木、灌木地带的植被覆盖改善较为明显,其余3个地带均有少部分地区出现轻微改善现象。(3)温带半灌木、矮乔木荒漠地带,暖温带半灌木、灌木荒漠地带和温带半灌木、灌木荒漠地带4~10月的平均气温呈上升趋势,而温带北部草原地带、高寒荒漠地带对应的平均气温则出现下降趋势。5个地带的降水量在该时段内均表现为下降趋势。(4)基于年际尺度,新疆各地带植被NDVI与气温、降水量的相关性均不显著;基于月尺度,各地带植被NDVI受降水量的影响比气温大。同时,仅有暖温带半灌木、灌木荒漠地带植被NDVI与气温存在1个月的滞后性,其余4个地带对气温和降水均不存在滞后性。 相似文献
20.
We analyzed the Normalized Difference Vegetation Index (NDVI) from satellite images and precipitation data from meteorological stations from 1998 to 2007 in the Dongting Lake wetland watershed to better understand the eco-hydrological effect of atmospheric precipitation and its relationship with vegetation. First, we analyzed its general spatio-temporal distribution using its mean, standard deviation and linear trend. Then, we used the Empirical Orthogonal Functions (EOF) method to decompose the NDVI and precipitation data into spatial and temporal modes. We selected four leading modes based on North and Scree test rules and analyzed the synchronous seasonal and inter-annual variability between the vegetation index and precipitation, distinguishing time-lagged correlations between EOF modes with the correlative degree analysis method. According to our detailed analyses, the vegetation index and precipitation exhibit a prominent correlation in spatial distribution and seasonal variation. At the 90% confidence level, the time lag is around 110 to 140 days, which matches well with the seasonal variation. 相似文献