归一化植被指数

  • 网络NDVI
归一化植被指数归一化植被指数
  1. 天津地区归一化植被指数时间动态及其与气候因子的关系

    Temporal variation of vegetation NDVI and its relations to climate factors in Tianjin area

  2. 利用F-检验及方差分析与相关分析,研究小麦氮素处理水平、冠层反射光谱及其衍生信息(光谱反射率的一阶微分数据、归一化植被指数)、小麦产量三者之间的相关关系。

    By F - test , variance analysis , correlation analysis , the correlation between , canopy spectral reflectance formations ( derivatives , NDVI ) and yield were analyzed .

  3. 多时相归一化植被指数NDVI的时空特征提取与作物长势模型设计

    Analysis of Multi-temporal and Multi-spatial Character of NDVI and Crop Condition Models Development

  4. 区域归一化植被指数(NDVI)对植被光合作用响应的研究

    The Respondence of Regional NDVI to Plant Photosynthesis

  5. 利用2001&2005年新疆归一化植被指数NDVI,得出该时间段新疆植被覆盖整体呈增加趋势,但局部有退化现象。

    NDVI index in2001-2005 showed that vegetation coverage had the trend to increase but local degraded .

  6. 定居放牧方式下归一化植被指数(NDVI)的空间变化特征

    Modeling the spatial pattern of normalized difference vegetation index ( ndvi ) under a post-nomadic sedentary grazing system

  7. NDVI(归一化植被指数)在监测地表植被覆盖中发挥着重要作用。

    The Normalized Difference Vegetation Index ( NDVI ) has made great contribution in the monitoring of vegetation coverage on the land surface .

  8. 以内蒙古地区Spot/vegetation归一化植被指数(NDVI)影像为基本信息源,综合应用地理信息系统(GIS)技术进行了大尺度神经网络分类实验研究。

    An experiment research of large scale neural networks classification was carried out by applying GIS technique synthetically , which took the Spot / vegetation NDVI image in Inner Mongolia as basic information source .

  9. 采用基于地物光谱特性的遥感技术获得归一化植被指数(NDVI)在大田作物生长监测、估产等方面的成功应用,为评价地块内葡萄生长势差异提供了依据。

    The Normalized Difference Vegetation Index ( NDVI ) was applied on forecasting the crop growth statue and estimating their yield shows advantage to evaluate the vine vigor .

  10. 系统利用NDVI(归一化植被指数)测定传感器实时地获取农作物生长的NDVI值,结合作物施肥的不同生长时期,达到依据作物长势实时变量施肥的目的。

    According to the real-time value of NDVI ( normalized difference vegetation index ) from NDVI equipment and the different fertilization program , the real time variable rate fertilizer was realized .

  11. 然后在像元二分模型的基础上对已有模型进行改进,建立用NDVI归一化植被指数估算植被覆盖度的模型。

    Then based on the method of dimidiate pixel model , the current model is improved , and the model of deriving vegetation fraction from normalized difference vegetation index ( NDVI ) .

  12. 根据地面光谱观测资料,建立了归一化植被指数与针叶被害率的相关方程,无松毛虫危害时NDVI为0.8823;

    The correlation equation of damaged rate and normalized vegetation index ( NDVI ) was established , based on the ground spectrum observation . The NDVI was 0.8823 when no damage occurred .

  13. 华北地区年际归一化植被指数(NDVI)的变化与降水的年际变化有相当强的正相关,降水量增加会显著的改善植被覆盖。

    There is a positive correlation between the variation of annual normal difference vegetation index ( NDVI ) and the annual rainfall , and increasing of rainfall will improve the vegetation canopy over north China .

  14. 作为NOAA/AVHRR归一化植被指数(NDVI)的延续和发展,EOS/MODIS归一化植被指数(NDVI)和增强植被指数(EVI)在许多领域得到广泛应用。

    As the continuation and development of NOAA / AVHRR NDVI , the normalized difference vegetation index ( NDVI ) and enhanced vegetation index ( EVI ) of MODIS have been comprehensively used in many fields .

  15. 综合应用归一化植被指数(NDVI)和土地表面温度(LST),提出了条件植被温度指数(VTCI)的概念,并将其用于干旱监测。

    Based on remotely retrieved normalized difference vegetation index ( NDVI ) and land surface temperature ( LST ), vegetation temperature condition index ( VTCI ) is developed for monitoring drought occurrence at a regional scale .

  16. 结果表明:基于MODIS的归一化植被指数对区域土地利用/覆盖的年际变化反映是敏感的,应用MODIS数据可以监测区域土地利用/覆盖变化的空间分布和面积大小。

    The results showed that the standardized vegetation indexes based on MODIS were sensitive to inter-annual changes of land use / cover changes in the region . The MODIS data could be used to monitor the regional spatial distribution and area of land use / cover changes .

  17. 通过分析归一化植被指数(NDVI)以及气候因子与鸟类多样性之间的关系,发现降水有利于增加鸟类多样性,温度对不同季节的多样性指数表现出不同的效用。

    We also studied the effects of vegetation index ( normalized difference vegetation index , NDVI ) and climate factors on bird diversity . Our results revealed that abundant precipitation would increase the bird diversity while temperature showed different utility to diversity index in different seasons .

  18. 模拟绿色生物量被转成AVHRR归一化植被指数(NDVI),并与1986~1990年观测到的植被指数进行了比较。

    The green biomass was converted to normalized difference vegetation index ( NDVI ) of AVHRR remote sensing , and compared with the observed NDVI from 1986 to 1990 . The model was also compared with ground measurements of biomass and productivity along the transect .

  19. 为了有效地从遥感资料中提取植被覆盖度,在像元二分模型两个重要参数推导的基础上,对已有模型进行了改进,建立了用归一化植被指数(NDVI)估算植被覆盖度的模型。

    Estimation of vegetation fraction from remote sensing data may be a very efficient approach . Based on two important parameters of discursion of dimidiate pixel mode , the current model is improved . The model of deriving vegetation fraction from normalized difference vegetation index ( NDVI ) is established .

  20. 归一化植被指数测量仪的研制与应用

    Development and Application of the Device for Measuring Normalized Difference Vegetation Index

  21. 从归一化植被指数提取气溶胶光学信息

    Retrieving Aerosol Optical Information From NDVI Indices in Renal Failure

  22. 科尔沁草甸草地归一化植被指数与气象因子的关系

    Relationships between Horqin meadow NDVI and meteorological factors

  23. 基于归一化植被指数的变量施肥控制系统研究

    Research on control system of variable rate fertilizer applicator in precision agriculture based on NDVI

  24. 归一化植被指数测量技术研究沙丘与草场的植被相似性较差;

    A Measuring Technology for Normalized Difference Vegetation Index species similarity of sand dune and grassland was low ;

  25. 利用归一化植被指数研究植被分类、面积估算和不确定性分析的进展

    Recent Research Progress in Uncertainties of the Normalized Difference Vegetation Index , Land Cover Classification and Vegetation Fraction Estimation

  26. 采用的植被指数,包括有归一化植被指数、绿波归一化植被指数和比值植被指数。

    The vegetation index used is the normalized difference vegetation index , green normalized vegetation index and ratio vegetation index .

  27. 提取出归一化植被指数与统计产量信息关系的基础上,构建玉米产量与归一化植被指数的回归方程。

    Extract normalized vegetation index and statistical output information based on the relation of corn yield , constructing normalization vegetation index with regression equation .

  28. 通过计算各组成分分量和归一化植被指数ND-VI之间的相关系数来进行波段组合,提高了遥感影像的分类精度。

    By computing the correlation coefficient between ND ⅵ and other combined bands , the bands combination is finished and the accuracy of classification is improved .

  29. 校正后,反映植被状况的归一化植被指数的值域比校正前增大、峰值变高,更接近实际情况;

    In the meantime , the threshold value of NDVI data reflecting vegetation condition increased , and its high peak was higher , more close to the real data .

  30. 反映玉米产量的时序归一化植被指数有非常显著的趋势,对其分析的目的就是要找到序列中的这种趋势,并利用这种趋势对序列的发展作出合理的预测。

    Reflect the timing maize yield normalized vegetation index has very significant trend , the purpose is to find the analysis of a sequence of this trend , and use the trend of development of sequence make reasonable forecast .