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51.
京津冀地区不透水表面覆盖率的时空演变及其对植被的影响 总被引：2，自引：0，他引：2
基于不透水表面和MODIS增强型植被指数（EVI）数据,辅以分段线性回归、趋势分析等方法,定量分析2000—2018年京津冀不透水表面覆盖率（ISP）的时空演变及其对植被的影响。结果表明：① 京津冀ISP呈显著增加的趋势,增速为0.024%/a（P<0.01）。分阶段来看,2000—2010年和2011—2018年ISP均呈显著增加趋势,增速分别为0.019%/a（P<0.01）和0.037%/a（P<0.01）,后一阶段的增速快于前一阶段;② 空间上,ISP快速增加的区域主要位于城市和近郊,缓慢增加和增加的区域主要位于主城区和农村;③ 从不同ISP区域ΔEVI的时间变化趋势来看,城区、近郊和远郊的ΔEVI均呈显著下降趋势（P<0.05）的地市分别有6个、6个和3个。主城区的ΔEVI呈显著增加趋势的地市有3个（P<0.05）。从EVI的空间变化趋势来看,显著增加的区域主要位于北京、天津等市的主城区,显著减少的区域主要位于北京、天津、石家庄等地市的近郊和远郊;④ 从EVI随ISP的空间变化趋势看,所有地市EVI随ISP的增加均呈显著减小的趋势（P<0.01）。减小趋势最大和最小的地市分别为秦皇岛和张家口,其下降速率为-0.0081/a和-0.0043/a。从时间变化来看,京津冀的EVI与ISP呈显著负相关,其相关系数为-0.4912。研究结果可为中国城市快速扩张过程中的植被变化提供理论参考和科学实践。 相似文献
52.
Niraj Priyadarshi V. M. Chowdary Y. K. Srivastava Iswar Chandra Das Chandra Shekhar Jha 《国际地球制图》2018,33(10):1095-1113
Long-term Moderate Resolution Imaging Spectroradiometer (MODIS) Enhanced Vegetation Index (EVI) data have inherent noise due to clouds and poor atmospheric conditions that limit its applicability for environmental applications. This study was carried out with an objective of noise removal and reconstruction of time series MODIS EVI data (16 day) for the period 2010–2014 using de-noising algorithms. Relative evaluation of de-noising algorithms for smoothing temporal data with ideal noise free data is not possible in actual scenario. Hence, synthetic signals were generated and introduced Gaussian noise at different variance levels for evaluation purpose. Spatial analysis was carried out by introducing noise at different variance levels into the noise free EVI images from the raw EVI stacked image. Spatio-temporal analyses of noise signals in the reconstructed EVI images were evaluated in terms of performance indicators, namely Peak Signal-to-Noise Ratio and Mean Square Error. 相似文献
53.
Although global positioning system (GPS) location data have been used to derive animal movement parameters including step length, rarely have these parameters been used to predict animal responses to human interventions. In this study, we tested whether GPS-derived step length of semi-free range cattle is a function of herder presence. The derived step-length model was used to predict herder presence on independent cattle GPS collar data. We also tested whether cattle foraging behaviour is explained by herder activity and vegetation greenness. We used logistic regression to model herder presence as a function of step length and relate cattle behaviour with herder activity and vegetation greenness. The field-based step length model successfully predicted herder presence on GPS collar data. The average predicted frequency of herder presence for the GPS-collared herds was 31%, whilst the field-based GPS frequency was 27%. Herding activities and vegetation greenness also explained different cattle foraging behaviour. 相似文献
54.
基于EVI和MNDWI指数的石羊河流域水体、植被时空变化特征 总被引：3，自引：2，他引：1
水体和植被是生态环境的重要自然要素,水体和植被的动态研究对认识干旱区生态环境的变化过程及保护和恢复具有重要的理论和实践意义。基于2001-2016年96期MODIS遥感数据和1992、1998、2004、2010、2016年5年Landsat遥感数据,提取EVI植被指数和改进的归一化水体指数（MNDWI）,结合一元线性回归趋势分析方法对石羊河流域的水体和植被的时空变化特征进行了分析。结果表明,近16年来,流域植被EVI整体呈增加趋势,植被覆盖度上升,但随着季节变化,上、中、下游植被覆盖度变化分异明显;EVI植被指数年际变化倾向率与之一致。植被覆盖小幅增加地区占21.5%（春）、14.9%（夏）、8.8%（秋）,保持不变区域占流域总面积的52.5%（春）、40.2%（夏）、35.0%（秋）;此外,仍有轻度退化区和严重退化区。近25年来,研究区水域面积总体呈增大-减小-增大的波动变化趋势,1998年水域面积增大至725.92 km2,此后水域面积2010年减小至710.11 km2;但2010年以后水域面积又呈稳定增加趋势,水域面积2016年增加至723.00 km2。自然因素和人为因素是研究区水体和植被时空变化的驱动因素。 相似文献
55.
To better ascertain leaf, stem and flower traits, and analyze aboveground allocation during the vegetation period, three sampling vegetation transects were settled and reed samples were collected at intervals to determine morphological parameters and dry and wet weights in Jiaozhou Bay wetland. Remote sensing data were also combined to evaluate regional biomass through EVI regression models. Results show that growth dynamics of leaves and stems changed during the vegetation period. Stem length increased rapidly and peaked in September (194.40 ± 23.89 cm), whereas leaf width peaked in July. There was a significantly negative correlation between stem length and stem diameter with a value of -0.785. Stem biomass was higher than that of leaves, and the maximum value of aboveground biomass was 27.17 ± 3.56 g. F/C exhibited a tendency to increase and values ranged from 0.37-0.76. The aboveground biomass of sample plots reached a peak of 2356 ± 457 g/m2 in September. EVI was 0.05-0.5; EVI and biomass had a better fitting effect using the power-exponent model compared with other models and its function was y = 4219.30 x0.88 (R2 = 0.7810). R2 of the other three models ranked as linear function > polynomial function > exponent function, with the values being 0.7769, 0.7623 and 0.6963, respectively. EVI can be used to estimate vegetation biomass, and effectively solved the problems of the destructive effect to sample plots resulting from traditional harvest methods. 相似文献
56.
DMSP/OLS夜间灯光数据被广泛应用于表征人类活动强度及其生态环境影响的诸多研究中,但因OLS传感器设计的局限,在用电强度较高的城市中心,灯光信号存在明显的饱和,这一不足可能影响到一些基于夜间灯光数据研究成果的可靠性。针对这一问题,NOAA-NGDC研发了辐射定标算法,但因缺乏星上定标系统,算法较为复杂,且受较多条件限制等原因,目前只有部分时期的辐射定标数据产品（RCNTL）。近期有学者提出一种基于植被指数NDVI构建的城市灯光指数VANUI,为灯光数据去饱和研究提供了一个操作简单且结果良好的方法,但该方法在一些城市效果不佳。基于此,本文综合利用夜间灯光与EVI指数信息,通过对VANUI指数构建方法进行改进,建立了一个新的缓解夜间灯光强度饱和的EANTLI指数。为了评价指数的效果,将EANTLI与VANUI从三个方面进行比较：① 区分、识别饱和区内地物的能力;② 与RCNTL的拟合程度;③ 对用电量估算的效果。结果表明：EANTLI在三个方面均表现出优势,在潜在饱和区内对特征地物具有更高的可区分性,与RCNTL的线性相关程度更高,与用电量的相关性相比于NTL、VANUI亦明显提高。因此可以认为EANTLI在指数的设计上较为合理,不仅易于计算,而且能达到较好的缓解灯光强度饱和、凸现城市内部差异的目的,在用于反演城市发展指标时能获得更为准确的结果,因此具有较高的应用价值。 相似文献
57.
四川草原是我国5大牧区之一,其可利用的天然草地占全省草原总面积的85%,准确掌握草原产草量信息对草原管理和当地经济发展具有重要意义。本研究利用2011年7月MODIS不同分辨率(250m、500m、1km)NDVI、EVI产品和同期地面调查数据(共181个采样点),对四川草原4种主要草地类型(即高寒草甸草地、高寒灌木草地、高寒沼泽草地和山地疏林草地)产草量鲜重分类型建立估产模型。研究发现,NDVI对该地区4种主要草地类型产草量的拟合效果普遍优于EVI;相对于500m和1km的遥感数据,250m的遥感数据拟合效果较好;分草地类型建立模型的效果优于对全体样本建立模型;该地区除高寒沼泽草地用幂函数模型拟合效果较好外,其余均用指数模型进行建模效果较好;对该地区各草地类型建立的最优估产模型,精度均在70%以上,回归判定系数R2在0.75以上;利用最优模型对2011年四川省草原进行估产,总体估产精度约为90%。 相似文献
58.
César Alejandro Berlanga-Robles Arturo Ruiz-Luna Marta Rocío Nepita Villanueva 《地理信息系统科学与遥感》2019,56(3):338-361
Monthly time series, from 2001 to 2016, of the Normalized Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index (EVI) from MOD13Q1 products were analyzed with Seasonal Trend Analysis (STA), assessing seasonal and long-term changes in the mangrove canopy of the Teacapan-Agua Brava lagoon system, the largest mangrove ecosystem in the Mexican Pacific coast. Profiles from both vegetation indices described similar phenological trends, but the EVI was more sensitive in detecting intra-annual changes. We identified a seasonal cycle dominated by Laguncularia racemosa and Rhizophora mangle mixed patches, with the more closed canopy occurring in the early autumn, and the maximum opening in the dry season. Mangrove patches dominated by Avicennia germinans displayed seasonal peaks in the winter. Curves fitted for the seasonal vegetation indices were better correlated with accumulated precipitation and solar radiation among the assessed climate variables (Pearson’s correlation coefficients, estimated for most of the variables, were r ≥ 0.58 p < 0.0001), driving seasonality for tidal basins with mangroves dominated by L. racemosa and R. mangle. For tidal basins dominated by A. germinans, the maximum and minimum temperatures and monthly precipitation fit better seasonally with the vegetation indices (r ≥ 0.58, p < 0.0001). Significant mangrove canopy reductions were identified in all the analyzed tidal basins (z values for the Mann-Kendall test ≤ ?1.96), but positive change trends were recorded in four of the basins, while most of the mangrove canopy (approximately 87%) displayed only seasonal canopy changes or canopy recovery (z > ?1.96). The most resilient mangrove forests were distributed in tidal basins dominated by L. racemosa and R. mangle (Mann-Kendal Tau t ≥ 0.4, p ≤ 0.03), while basins dominated by A. germinans showed the most evidence of disturbance. 相似文献
59.
21世纪初中国北方地区植被变化特征分析 总被引：1，自引：0，他引：1
利用增强型植被指数(EVI)作为植被活动的指标, 用MODIS-EVI时间序列数据定量分析了2000～2009年间中国北方地区EVI的变化规律。结果表明:1)21世纪初中国北方地区植被覆盖总体改善, 局部退化, 10年来区域年平均EVI增加5.97%;2)逐季节平均EVI均呈现上升趋势, 春季、秋季上升幅度小, 夏季、冬季上升幅度大;3)中国北方地区植被稀少的区域呈减少趋势, 同时单位面积EVI增加, 植被生长更加茂盛;4)中国北方地区EVI变化空间异质性大。东北平原、华北平原、黄土高原和新疆农业区显著增加, 东北和西部部分地区植被退化。 相似文献
60.
Vegetation indices (VIs) calculated from remotely sensed reflectance are widely used tools for characterizing the extent and status of vegetated areas. Recently, however, their capability to monitor the Amazon forest phenology has been intensely scrutinized. In this study, we analyze the consistency of VIs seasonal patterns obtained from two MODIS products: the Collection 5 BRDF product (MCD43) and the Multi-Angle Implementation of Atmospheric Correction algorithm (MAIAC). The spatio-temporal patterns of the VIs were also compared with field measured leaf litterfall, gross ecosystem productivity and active microwave data. Our results show that significant seasonal patterns are observed in all VIs after the removal of view-illumination effects and cloud contamination. However, we demonstrate inconsistencies in the characteristics of seasonal patterns between different VIs and MODIS products. We demonstrate that differences in the original reflectance band values form a major source of discrepancy between MODIS VI products. The MAIAC atmospheric correction algorithm significantly reduces noise signals in the red and blue bands. Another important source of discrepancy is caused by differences in the availability of clear-sky data, as the MAIAC product allows increased availability of valid pixels in the equatorial Amazon. Finally, differences in VIs seasonal patterns were also caused by MODIS collection 5 calibration degradation. The correlation of remote sensing and field data also varied spatially, leading to different temporal offsets between VIs, active microwave and field measured data. We conclude that recent improvements in the MAIAC product have led to changes in the characteristics of spatio-temporal patterns of VIs seasonality across the Amazon forest, when compared to the MCD43 product. Nevertheless, despite improved quality and reduced uncertainties in the MAIAC product, a robust biophysical interpretation of VIs seasonality is still missing. 相似文献