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91.
遥感叶面积指数产品精度和不确定性需要通过地面测量的数据来验证。因为两者的空间尺度差异,验证前需要通过尺度转换方法将这两种数据的尺度统一。将泰勒级数展开模型进行改进后,可以用于解决叶面积指数遥感产品验证中地面测量数据与遥感产品尺度不匹配的问题,同时可以针对每个数据定量给出误差。将误差在阈值范围内的实测数据作为地面参考值对遥感产品进行验证。本文利用这种方法将黑河综合遥感联合实验数据集中的地面测量叶面积指数尺度上升到遥感像元尺度,并与MODIS,GLASS LAI遥感产品进行了比较。 相似文献
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93.
Field experiments were conducted to investigate the effects of leaf area index and soil moisture content on evapotranspiration and its components within an apple orchard in northwest China for 2 years. Evapotranspiration in the non‐rainfall period was estimated using two approaches: the soil water balance method based on tube‐type time‐domain reflection measurements, and sap flow plus micro‐lysimeter methods. The two methods were in good agreement, with differences usually less than 10%. The components of evapotranspiration varied with canopy development. During spring and autumn, soil evaporation was dominating as result of low leaf area index. In summer, plant transpiration became significant, with an average transpiration to evapotranspiration ratio of 0·87. The crop coefficient Kc showed a strong linear dependence on leaf area index. The water stress coefficient Ks was around 1·0 when soil moisture was above 23% and started to decrease linearly after that. This study demonstrates that prediction of evapotranspiration in apple orchards can be made using the Food and Agriculture Organization's crop coefficient method from commonly available meteorological data in the area. Copyright © 2006 John Wiley & Sons, Ltd. 相似文献
94.
The spatial scaling effect of continuous canopy Leaves Area Index retrieved by remote sensing 总被引:1,自引:0,他引:1
Leave Area Index (LAI) is one of the most basic parameters to describe the geometric structure of plant canopies. It is also important input data
for climatic model and interaction model between Earth surface and atmosphere, and some other things. The spatial scaling
of retrieved LAI has been widely studied in recent years. Based on the new canopy reflectance model, the mechanism of the scaling effect of
continuous canopy Leaf Area Index is studied, and the scaling transform formula among different scales is found. Both the
numerical simulation and the field validation show that the scale transform formula is reliable.
Supported by National Basic Research Program of China (Grant No. 2007CB714402) and National Natural Science Foundation of
China (Grant Nos. 40401036, 40734025 and 40401036) 相似文献
95.
ABSTRACTA model fusion approach was developed based on five artificial neural networks (ANNs) and MODIS products. Static and dynamic ANNs – the multi-layer perceptron (MLP) with one and two hidden layers, general regression neural network (GRNN), radial basis function (RBF) and nonlinear autoregressive network with exogenous inputs (NARX) – were used to predict the monthly reservoir inflow in Mollasadra Dam, Fars Province, Iran. Leaf area index and snow cover from MODIS, and rainfall and runoff data were used to identify eight different combinations to train the models. Statistical error indices and the Borda count method were used to verify and rank the identified combinations. The best results for individual ANNs were combined with MODIS products in a fusion model. The results show that using MODIS products increased the accuracy of predictions, with the MLP with two hidden layers giving the best performance. Also, the fusion model was found to be superior to the best individual ANNs. 相似文献
96.
基于冠层反射和植被指数的华东地区叶面指数反演 总被引:4,自引:0,他引:4
1 IntroductionLeaf A rea Index (LA I), defined as half the all-sided leaf or needle surface per unit groundsurface (Chen and Black,1992),is an im portantparam eter to quantify leaf density and m onitorvegetation change.A tthe sam e tim e,LA I is also an i… 相似文献
97.
遥感提取植物生理参数LAI/FPAR的研究进展与应用 总被引:19,自引:2,他引:17
植物生理参数LAI/FPAR是2个重要的陆地特征参量。利用遥感光谱模型并结合地面验证是提取区域尺度的LAI/FPAR最有效的途径。提取LAI/FPAR的模型主要有光谱指数模型和辐射传输模型两类,经过精确的辐射标定和大气纠正的遥感数据可以得到较高精度的LAI/FPAR数据。影响LAI/FPAR精度的因素很多,其中主要因素是像元的异质性、植被类型和物候期等。LAI/FPAR与作物产量有更直接的关系,也是大量作物生长模型的基础,利用这些参数可以实现真实的作物产量预测,特别是开展全球尺度的单产预测。 相似文献
98.
全球植被年际尺度动态过程的数值模拟及其评估 总被引:1,自引:1,他引:0
动态植被模型(Interactive Canopy Model,ICM)中考虑了生态系统碳氮循环过程,能够描述较短时间尺度上的植被与大气之间相互作用过程。利用21 a的GIMMS卫星观测LAI资料,与ICM模拟结果进行年际变率对比分析,评估模型对植被年际变化的模拟性能。结果表明,ICM能在一定程度上反映植被年际变率的空间分布特征,但模拟的热带部分地区植被的年际变率偏小,除此之外大部分地区模拟的年际变率偏大;模拟能够反映出全球植被年际变化的主要空间分布型,同时低纬度地区植被的时间演变特征要好于高纬度地区;ICM对寒带灌丛、北非稀树大草原、落叶针叶林的年际变化模拟较好,但对中国东部农作物的模拟表现出了明显的周期振荡现象,与实际情况差距较大。 相似文献
99.
Laurent Bremond Anne Alexandre Christelle Hly Joël Guiot 《Global and Planetary Change》2005,45(4):277-293
The aim of the study is to calibrate the phytolith index of tree cover density, D/P (the ratio of ligneous dicotyledons phytoliths (D) over Poaceae phytoliths (P)) with Leaf Area Index (LAI) measurements. LAI is the vertically integrated surface of leaves per unit of ground area (m2 leaves/m2 ground). Modern soil samples from southeastern Cameroon, collected along a continuous forest–savanna transect, have been analyzed for phytoliths. Phytolith assemblages and D/P index clearly record the physiognomy of the forest and savanna communities and of the transition between both of them. A highly significant relationship was obtained between D/P and LAI. The relationship between phytolith data and the vegetation transect is also discussed and compared with existing palynological results obtained along the same transect. 相似文献
100.
High soil temperatures influence seedling emergence as well as the performance of plant organs and yields. Temperatures of above 40°C were recorded in the topsoil of the Ferralsols of the semi-arid areas of SE-Kenya during the rainy season. Experiments were conducted in the climatological laboratory of the University of Trier, Germany, on two legumes (green grams and common beans var. kathika), grown by smallholder farmers in the study area under varying soil temperature conditions. The main objective was to examine the effect of soil temperature on various parameters: seedling emergence, crop water requirements, leaf area index and phenology of the two legumes. The simulated climatological laboratory conditions were similar to those at Kiboko, SE-Kenya. This study confirmed that under high soil temperature conditions, green grams are well adapted to semi-arid and hot tropical lowlands as well as lower midlands due to low water requirements, high seedling emergence rates and good yield performance. However, kathika beans were very susceptible to the simulated extreme climatic environment. By means of crop simulation modelling, a temporal differentiation for potential growth of green grams is presented for the long and short rains according to different rainfall conditions (ENSO, antiENSO, normal) over a period of 31 years. 相似文献