首页 | 本学科首页   官方微博 | 高级检索  
相似文献
 共查询到20条相似文献,搜索用时 500 毫秒
1.
袁涛  倪璇  周伟 《地学前缘》2021,28(4):110-117
煤炭开采是一种具有大规模高强度性质的生态扰动行为,会产生区域地表压占与损毁、植被破坏等生态扰动和环境污染问题。西北干旱荒漠区气候干旱,植被稀疏,生态环境本身极其脆弱,宁东矿区是典型的干旱荒漠煤炭开发区,有重要的研究价值。本文选择宁东矿区以及与矿区自然条件相近的自然植被参照区作为研究对象,收集2008—2019年共276期MODIS归一化植被指数(normalized vegetation index,NDVI)长时间序列遥感数据,通过STL时间序列分解、函数主成分分析(function principal component analysis,FPCA)、像元二分模型植被覆盖度计算等方法,从时间维度上分析了矿区周边区域和参照区NDVI均值在研究期内的总体变化趋势,发现随着开采过程的持续,相比自然参照区植被而言,矿区周边植被生长受到了明显胁迫;从空间维度上分析了不同距离缓冲区NDVI数据的相关性特征,在此基础上通过函数主成分分析得到第一主成分函数,确定矿区生态影响范围边界在7 km左右;本研究还在像元尺度分析了植被覆盖度的变化情况,按照变化的程度进行了分级统计分析,发现矿区周边区域虽然NDVI均值总体长期趋势相对稳定,但植被中度和重度退化区域面积明显增加。  相似文献   

2.
基于Google Earth Engine遥感云平台收集1987—2016年Landsat系列遥感卫星影像,采用像元二分模型对承德市围场满族蒙古族自治县植被覆盖度进行估算,结合气象数据和地形信息,分析近30年来研究区植被覆盖动态变化规律。结果表明:围场县1987—2016年的归一化植被指数(NDVI)值总体上呈上升趋势,全县NDVI平均值从0.63提高到了0.78,植被覆盖状况不断改善。研究区植被改善情况中,1987—2016年NDVI大于0.15的面积比例占到全县植被面积的49.28%,占比最大。1987—2016年NDVI小于等于-0.15的植被面积比例仅为0.82%。1987—2016年,各级植被覆盖度的转移矩阵体现出2016年的植被状况明显好于1987年,极高覆盖度植被转入面积高达7 991.84 km2。1987—2016年植被覆盖景观破碎程度不断降低,平均斑块面积指数从13.147 8扩大到31.703 4,植被覆盖类型趋于集中分布,连通性好。研究区总体气候变化趋势对植被生长具有不利影响,不同坡度和坡向的植被覆盖状况不同,人类活动和社会经济因素的影响为研究区植被改善情况发挥着重要作用。  相似文献   

3.
为了解森林退化的原因,利用2000-2015年的MODIS NDVI数据,在分析贵州省植被变化趋势的基础上识别了归一化植被指数(NDVI)显著下降的区域,并在NDVI显著下降区选取面积大于10 km2的森林图斑为兴趣区,分析其内气候变化趋势及对森林NDVI值的影响。研究表明:197个兴趣区主要分布在贵州省西北部的赤水—习水、东北部的梵净山和东南部的非喀斯特区域;区内春、夏季NDVI变化趋势与年NDVI值变化趋势一致,下降速率达到-0.01·yr-1,冬季与其他季节变化趋势相反,呈不显著升高趋势;区内春季和夏季气温升高显著,降水和日照时间无明显变化,整体气候变化呈暖干趋势;夏季温度升高是NDVI降低的主要驱动因素。   相似文献   

4.
River deltas are dynamic geologic features where the plant community engages in critical feedbacks with geomorphology, and plant community development is impacted by both riverine and coastal drivers. A vegetation index (NDVI) calculated from a time series of 54 peak growing season Landsat-5 TM and Landsat-7 ETM+ images was used to assess the long-term trends and storm event-driven changes in the vegetation community associated with the Wax Lake Delta, an actively accreting subdelta of the Mississippi River. Multiple regression models were developed to explain variation in the vegetated area of the delta and mean delta NDVI from 1984 to 2011 as a function of date, hydrology, and seasonality. The models indicate that both vegetated area and mean NDVI increased over time from 1984 to 2011. Productivity measures following Hurricanes Lili (2002), Rita (2005), and Ike (2008) represented statistical outliers; significant decreases in NDVI following these storms suggest that hurricanes passing directly over or to the west of the delta result in short-term disturbance to the plant community, most likely related to saltwater intrusion associated with storm surge. However, in each case, both vegetated area and mean NDVI recovered to the long-term trend by the following growing season. These results demonstrate that the freshwater marshes within this mineral-rich, accreting delta are increasing in productivity as the delta matures and are extremely resilient to coastal storm disturbance.  相似文献   

5.
为揭示喀斯特石漠化治理示范区植被覆盖变化以及气候因子对植被覆盖变化的影响,利用2006—2015年Landsat 30 m/16 d分辨率影像数据,采用最大合成法、NDVI差值指数和相关、偏相关分析法,系统分析示范区归一化植被指数的时空变化特征及其与气候因子的关系。结果表明:(1)2006—2015年最大NDVI平均值为0.39,NDVI较高覆盖区域在示范区南北边界,而较低覆区域以花江南岸为主;(2)2006年以来示范区极低(-1.210)、低(-0.669)和中等(-0.729)植被覆盖度呈减少趋势,高(1.359)和极高(1.247)植被覆盖度增加,整体上呈显著增加趋势;(3)本月NDVI与本月、上月、上上月降雨量和气温的相关性均通过显著水平0.05检验,且本月NDVI与本月降雨量相关性高于本月气温(RNDVI降雨 =0.782),本月NDVI与上月气温相关性高于上月降雨量(RNDVI气温 =0.771);(4)在月尺度上,示范区植被生长对降雨量无滞后期,而对气温存在1个月的滞后期。   相似文献   

6.
基于植被指数和土地表面温度的干旱监测模型   总被引:79,自引:4,他引:79  
干旱是一种周期性发生的自然现象,其发生过程中有关参数如地表覆盖度、温度和土壤表层含水量等可以通过遥感的途径进行定量反演,而这些参数客观地反映了地表的综合特征。综述了运用遥感反演产品---土地表面温度和归一化植被指数在干旱监测中的应用前景和进展,分析了距平植被指数、条件植被指数、条件温度指数和归一化温度指数等干旱监测方法的优缺点,在前人研究的基础上,提出了条件植被温度指数的干旱监测模型,探讨了其应用前景。  相似文献   

7.
The Hanjiang River Basin is the source area of the Middle Route Project of the South-to-North Water Diversion Project, and the vegetation coverage in this basin directly affects the quality of the ecological environment. This study is based on long time series of Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) data synthesized over 16 days from 2000 to 2016 in the Hanjiang River Basin. Major climatic data (temperature and rainfall) and topographic data (elevation, slope, and aspect) are employed to analyze the driving forces of NDVI changes. The results demonstrate the following: for the 2000–2016 period, the average annual NDVI is 0.823, with a change trend of 0.025 year?1. The overall NDVI upstream is higher than that downstream. The average annual value of NDVI upstream is 0.844, with a change trend of 0.036 year?1, and that of downstream is 0.799, with a change trend of 0.022 year?1. The spatial distribution of NDVI was significantly increased in the area around the upstream section of the river and near the Danjiangkou Reservoir, and the distribution of NDVI around the central city was significantly reduced. The NDVI was positively correlated with temperature and rainfall, and the impacts differed among different regions. At elevations below 2000 m, the NDVI shows an increasing trend with increasing elevation, and at elevations exceeding 2000 m, the NDVI is negatively correlated with elevation. Slope is positively correlated with the NDVI. The influence of aspect on the NDVI was small.  相似文献   

8.
承德是京津冀地区重要的水源涵养区和防风固沙区,是京津冀生态环境支撑区的重要组成部分,其植被状况将直接影响着区域生态环境质量的改善。基于MOD13Q1时间序列NDVI资料,利用线性回归分析法、像元二分法、稳定性分析法等测度承德市全域2000—2018年植被覆盖时空演变特征,并分析气候、地形等因素对植被覆盖的影响。结果表明:(1)承德市全域植被状况年际变化总体发生了改善,植被生长季夏季的NDVI值最高,月度变化中7月份NDVI值最大,多年均值达到0.775 2。(2)植被年际变化趋势显著性存在空间差异,植被指数极显著增加区域面积最大,占比59.08%,而极显著减少和显著减少的区域面积较小,分别占全域的0.76%和0.58%,主要分布在承德市中部、南部等地区。(3)承德市各区县植被覆盖状况均以较高覆盖度为主,面积达到45 585.69 km2。在多年植被覆盖度稳定性格局中,西北部波动较大,其余大部分地区稳定性好,波动较低。(4)承德市NDVI受5—7月份降水量和月均温的影响较大,植被的长势可能受到了前期气象条件的滞后效应影响。地形特征对承德全域植被覆盖状况也有一定的影响,总体来看承德市地势低平地区的NDVI值相对较低。研究结果可为承德市加强重要区域生态保护、优化国土空间开发格局和科学制定生态修复措施提供参考。  相似文献   

9.
The Three-North Shelter Forest Programme (TNSFP) covers 551 Chinese counties and an area of 4,069,000 km2 mostly in arid and semi-arid regions. In this paper, we discuss the temporal and spatial changes in value of the normalized-difference vegetation index (NDVI) in this region, and the relationships between NDVI and climatic factors (temperature and precipitation) based on NOAA Advanced Very High Resolution Radiometer Global Inventory Modeling and Mapping Studies NDVI data with 8-km resolution from 1982 to 2006. During the past 25 years, the vegetation cover has generally increased in eastern regions of China and the oasis in the north piedmont of Tianshan Mountains, but has decreased northwest of Xinjiang and in the Hulunbeier Plateau. The multi-year monthly average NDVI distribution map showed that NDVI increased from April to August, but in the western and northern plateau areas, the lower temperatures and high altitude created a shorter growing season (1 or 2 months). The vegetation of the study area has generally increased in the regions covered by the TNSFP. Linear regression analysis of the vegetation cover showed an increasing trend over large areas. The largest annual growth rate per pixel (the slope of the regression) was 0.009; the largest negative annual change was −0.004. The correlation between NDVI and precipitation was higher than that between NDVI and temperature, suggesting that precipitation is the most important factor that affects NDVI changes in the study area, especially for temperate desert vegetation in northwestern China.  相似文献   

10.
利用“3S”技术检测我国北方气候变化的植被响应   总被引:18,自引:1,他引:17       下载免费PDF全文
本文利用“3S”技术,结合气象观测资料,发现反映区域植被覆盖特征的遥感植被指数变化基本上与器测温度和降水变化相一致,显示出我国北方植被对气候短尺度变化响应敏感。荒漠化总体加剧深受气候变化的影响,人类活动起着相对加强或削弱的作用。  相似文献   

11.
Normalized difference vegetation index (NDVI) is an important indicator for measuring vegetation coverage, which is of great significance for evaluating vegetation dynamics and vegetation restoration. It can clearly analyze the suitable growth condition of vegetation by studying the relationship between meteorological factors, soil moisture and NDVI. Based on MODIS/NDVI data, the spatio-temporal characteristics of vegetation coverage in the Weihe River Basin (WRB) were analyzed by the trend analysis method. The relationship of NDVI with meteorological factors and NDVI with soil moisture simulated by the soil and water assessment tool (SWAT) model was analyzed in this paper. The results show that NDVI values gradually change with an increase from north to south in the WRB. The maximum of the average monthly NDVI is 0.702 (August) and the minimum is 0.288 in February from 2000 to 2015. The results of the seven grades of NDVI trend line slope indicate that the improvement area of vegetation coverage accounts for 30.93% of the total basin, and the degradation area and basically unchanged area account for 23% and 42.9%, respectively. The annual mean soil moisture is 19.37% in the WRB. There was a strong correlation between NDVI and precipitation, temperature, evaporation and soil moisture, and the correlation coefficients were 0.78, 0.89, 0.71 and 0.65, respectively. The ranges of the most suitable growth conditions for vegetation are 80–145 mm (precipitation), 13–23 °C (temperature), 94–144 mm (evaporation) and 25–33% (soil moisture), respectively.  相似文献   

12.
沙漠绿洲变化的遥感监测方法   总被引:16,自引:8,他引:8  
龚斌  万力  胡伏生  金晓媚 《现代地质》2005,19(1):152-156
提出一种利用气象卫星数据研究沙漠绿洲时空变化规律的方法。该方法采用归一化植被指数反映绿洲植被的发育程度,借助裸沙土壤线校正法消除大气和土壤背景值的影响,特别是,提出的等面积校正法实现了不同年份间遥感数据的对比。最后,将该方法用于内蒙古额济纳绿洲面积变化规律的研究中,取得了良好效果。  相似文献   

13.
Normalized Difference Vegetation Index (NDVI) data were used to investigate vegetation changes after Hurricane Katrina (2005) for the Weeks Bay Reserve and surrounding area of coastal AL. Landsat 5 satellite images were acquired before landfall (March 24, 2005), after landfall (September 16, 2005), and 8 months after landfall (April 28, 2006). The March 2005 to September 2005 image comparison showed that average NDVI values decreased by 49% after landfall. Continuing into the next year, average NDVI values were −44% lower in April 2006 than they were in March 2005. Among habitat types, the estuarine emergent wetland experienced the largest average NDVI value decrease (−64%). The estuarine emergent wetland NDVI values continued to decrease by −27% from September 2005 to April 2006, whereas other habitats increased in NDVI. This continued suppression of NDVI values was attributed to increased salinity from the storm surge and to regional drought conditions that occurred after landfall. These results provide insight into the sensitivity of coastal vegetation from the interactions of both tropical cyclones and long-term environmental conditions.  相似文献   

14.
西辽河平原位于我国北方农牧交错带,属半干旱气候,发育科尔沁沙地,生态环境极其脆弱,开展植被指数时空变化及其影响因素研究,对于预测土地退化风险意义重大,可为该流域生态环境保护治理及水资源合理开发利用提供技术支撑。利用2000—2019年MODIS NDVI数据,采用一元线性回归趋势法和Mann-Kendall检验分析了近20年来该地区的植被生长变化趋势及突变情况。从影响植被生长的水热条件出发,分析了NDVI值与气象因素(降水、气温)、土壤湿度、地下水埋深等因子的相关关系;结合人类活动,分析了土地利用类型变化对NDVI值的影响。结果表明:(1)2000—2019年生长季NDVI值整体呈上升趋势,不存在显著突变点,最高值0.56,最低值0.41。(2)NDVI值在空间上呈现“东高西低”的分布特征,不同用地类型的NDVI值由大到小依次为耕地>林地>沼泽地>滩地>草地>盐碱地>沙地。(3)92.5%的区域植被呈增长趋势,7.5%的区域植被呈减少趋势。(4)NDVI值与降水、气温、土壤湿度呈正相关关系,相关系数分别为0.86,0.78,0.81,降水对植被影响最大。(5)最适宜天然植被生长的地下水埋深约为3 m,当地下水埋深大于10 m时,NDVI值会随着埋深的增加剧烈减小。(6)人类活动如土地开垦、植树造林是近20年来NDVI值呈增加趋势的主要原因之一,在一定程度上改善了当地生态环境。  相似文献   

15.
基于地质统计学的NDVI图像估值技术   总被引:2,自引:1,他引:1  
蒋小伟  万力  杜强  B.X.Hu 《地学前缘》2008,15(4):71-80
将疏采样后的NDVI图像作为未受云层影响的已知数据,分别用普通克里格、泛克里格、指示克里格和序贯指示模拟对NDVI图像进行恢复并比较其效果。研究发现,各种克里格法对NDVI图像的估值效果由高到低依次为泛克里格、普通克里格、指示克里格,通常计算方便的普通克里格法就能够满足图像恢复所要求的精度;普通克里格方差和泛克里格方差只能反映数据的构型,不能很好地衡量估值图像的不确定性,指示克里格的条件方差的分布和实际误差的分布基本一致,能够较好地衡量估值图像的不确定性,并且其大小与NDVI影像数据的不确定性大小的分布一致。序贯指示模拟得到的多个等概率实现表现出很大的空间变异性,多个实现的均值图像光滑效应明显,估值精度不高,但是多个实现的方差分布可以很好地表征空间数据的不确定性分布。  相似文献   

16.
The present research evaluated the relation between the normalized difference vegetation index (NDVI) changes and the climate change during 2000–2014 in Qazvin Plain, Iran. Daily precipitation and mean temperature values during 2015–2040 and 2040–2065 were predicted using the statistical downscaling model (SDSM), and these values were compared with the values of the base period (2000–2014). The MODIS images (MOD13A2) were used for NDVI monitoring. In order to investigate the effects of climate changes on vegetation, the relationship between the NDVI and climatic parameters was assessed in monthly, seasonal, and annual time periods. According to the obtained results under the B2 scenario, the mean annual precipitation at Qazvin Station during 2015–2040 and 2040–2065 was 6.7 mm (9.3%) and 8.2 mm (11.36%) lower than the values in the base period, respectively. Moreover, the mean annual temperature in the mentioned periods was 0.7 and 0.92 °C higher than that in the base period, respectively. Analysis of the correlations between the NDVI and climatic parameters in different periods showed that there is a significant correlation between the seasonal temperature and NDVI (P < 0.01). Moreover, the NDVI will increase 0.009 and 0.011 during 2015–2040 and 2040–2065, respectively.  相似文献   

17.
玛纳斯河流域气候干燥、蒸发强烈,准确估算蒸散发量对地下水资源评价及生态环境保护具有重要指导意义。以往蒸散发研究空间分辨率较低,已不能满足各水文地质分区景观格局演变引起的蒸散发细部变化研究,针对以往不足,文章基于SEBAL模型利用Landsat系列影像估算了近30年来玛纳斯河流域山前平原区蒸散发,并进一步探讨不同水文地质分区蒸散发时空分布特征及影响因素。结果表明,蒸散量空间分布按照水文地质分区呈现明显带状性,各水文地质分区日蒸散总量表现为戈壁带<荒漠带<绿洲带,时间尺度上全区蒸散总量呈上升趋势,且增大幅度逐渐变缓,各分区呈现绿洲带蒸散总量递增、戈壁带及荒漠带蒸散总量先减小后增大,各分区蒸散总量变化趋势是由各分区主地物类型蒸散量变化控制;通过对影响因素的分析可知日蒸散发量随气温的升高而升高,各地物日均蒸散发量与全区平均气温变化趋势一致;归一化植被指数与日蒸散发量在戈壁带与绿洲带呈现较好的正相关关系;地下水位埋深与日蒸散发量在绿洲带呈负相关,当地下水位埋深大于5. 5 m时,日蒸散发量趋于稳定。  相似文献   

18.
青藏高原高寒草地植被指数变化与地表温度的相互关系   总被引:3,自引:1,他引:2  
为了解脆弱的高原生态环境对升温过程的响应, 利用1982-2006年国家标准地面气象站地表温度和GIMMS-NDVI数据集, 探讨了青藏高原高寒草地植被指数和地表温度的变化特征及其相互关系. 结果表明:1982-2006年, 高寒草地NDVI、地表温度整体均呈现增加趋势, 年均NDVI、生长季NDVI、年最大NDVI(NDVImax)与年均地表温度、生长季地表温度的上升趋势分别为0.007 (10a)-1、0.011 (10a)-1、0.007 (10a)-1与0.60 ℃·(10a)-1、0.43 ℃·(10a)-1; NDVImax与地表温度显著相关的地区达70.49%. 但是高原地形、气候、水文环境的空间差异性导致高寒草地NDVI与地表温度的相关关系十分复杂. NDVImax与年均地表温度的相关性最为显著; 在返青期和枯萎期, NDVI与地表温度均为显著正相关. 不同的植被覆盖条件下, NDVI对地表温度的响应不同:植被覆盖差以及退化严重的地区, NDVImax与地表温度呈负相关性; 反之, NDVImax与地表温度主要表现为正相关.  相似文献   

19.
基于EOS/MODIS的若尔盖高原湿地定量遥感研究   总被引:1,自引:0,他引:1  
研究旨在探讨EOS/MODIS影像提取若尔盖高原湿地信息的定量遥感方法.先计算MODIS影像的NDVI并将其线性变换到0~255;然后经多次试验确定区分湿地与非湿地的MODIS-NDVI阀值,并用人机交互式调整的方法消除误判像元及云的干扰,再多次试验得到区分湿地内部沼泽地和水体的阀值;通过统计不同类型湿地像元数计算湿地面积.研究表明,若尔盖高原湿地空间分布和面积具有季节差异,这与该地区降水和气温季节变化相关;采用MODIS-NDVI阀值并结合人机交互式调整的方法提取若尔盖高原夏半年的湿地信息是可行的,精度达到82%,而利用该方法提取冬半年湿地信息效果不甚理想,冬半年的MODIS影像湿地判识方法有待进一步探讨.  相似文献   

20.
Because of long-term stream-flow cut off in the lower reaches of Tarim River, environmental degradation has become the most severe and widespread environmental problem in Tarim River basin. Nine ecological water conveyances to the lower reaches of Tarim River made ecological environment change a lot. 3S technology was used to monitor dynamic change of ecology. However, remote sensing area index cannot analyze ecological restoration degree of Tarim River precisely because the time of each water conveyance is short, the change of vegetation area is not obvious, and there exists visual interpretation error. In this paper, remote monitoring datum of high temporal resolution and high spatial resolution were used to research the relationships between normalized difference vegetation index (NDVI) and the groundwater depth, between NDVI and the surface vegetation coverage, and between the groundwater depth and the surface vegetation coverage. The growth and restoration of the vegetation in different periods were evaluated by investigative analysis of the change trend of NDVI. The conception of relative restoration degree was proposed and the response of vegetation restoration to the water conveyance was evaluated. The evaluation result suggests that: first, the response of vegetation to the water conveyance concentrates within 1,000 m of both riversides, and the range of influence becomes smaller along the lower reaches of Tarim River. Second, influenced by the groundwater recharge, the vegetation coverage shows decreasing trend with the increase of off-river distance. Third, the vegetation coverage shows decreasing trend along the watercourse influenced by the water consumption. Finally, in spatial, original scattered meadow of low coverage transforms to high coverage gradually in research region. Vegetation response to the water conveyance expands to both sides with the watercourse being the axis, and expanding scale increases continuously.  相似文献   

设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号