盘锦湿地芦苇群落冠层内辐射分布特征   总被引：2，自引：0，他引：2       下载免费PDF全文

贾庆宇  周莉  王笑影  周广胜  谢艳兵 《气象与环境学报》2008,24(4):19-22

基于盘锦湿地芦苇群落冠层内不同层次的微气象要素与生物学特性观测,探讨芦苇群落冠层内总辐射分布与叶面积指数(LAI)的关系。结果表明:芦苇群落内太阳辐射的垂直分布在生长前期(5月)和后期(9月)呈S型曲线,生长盛期(6月和7月)呈指数曲线变化。冠层内不同层次的太阳辐射透射率随叶面积指数的增加而减少,消光系数(k)存在明显的季节变化,表现为从萌芽期到成熟期逐渐减小趋势(最小值k=0.436)。  相似文献   

生态系统模型中物候的参数化方法研究进展     

顾峰雪 《地理科学进展》2006,25(6):68-75

物候和叶面积指数的季节动态在落叶林中是决定生态系统净生产力的关键因素。尽管物 候对能量和CO2 通量的影响可以简单地通过描述发芽和落叶的时间以及叶面积指数的季节动态 来表示, 但是由于对驱动物候的物理过程缺乏全面正确的理解, 在陆地生态系统模型中物候就成 为最难以参数化的一个过程。目前, 在陆地生态系统模型中描述物候主要有两种不同的方法: 一 种是基于气候变量( 主要是温度或积温) 的经验方法, 即是通过建立物候不同阶段与气候变量的 经验关系来预测关键物候事件发生的时间。另一种方法是基于碳吸收的物候参数化方案, 物候的 任何阶段都和当前的碳平衡相联系。在生态系统模型中, 基于碳吸收的物候参数化方法可以大大 降低物候模拟的经验性, 提高模型的适用性和模拟精度, 比基于气候变量的经验模型更适于模拟 未来气候变化影响。未来随着生理和分子水平上, 对控制物候和LAI 动态过程机理的揭示, 建立 基于过程的物候参数化方案和LAI 动态模拟模型就成为生态系统模型或气候模型的发展方向。  相似文献   

基于植被信息遥感反演的东亚飞蝗监测研究     

吴彤  倪绍祥  李云梅  蒋建军  陈健 《地理与地理信息科学》2006,22(2):25-29

植被是东亚飞蝗发生和成灾的重要指示因子。运用遥感技术对植被生长进行监测,对东亚飞蝗的预测和防治具有重要意义。以河北省黄骅市为研究区,利用实地获取的植被冠层孔隙度数据反算的LAI数据以及Landsat-5 TM影像提取的各种VI数据,进行了LAI(LAI-2000改进型算法的反算结果)与TM影像上反演的VI之间的相关分析。结果表明,RDVI最适合反映研究区植被生长状况。分析RDVI与飞蝗发生面积的关系,发现两者呈负线性相关,即随着RDVI减小,飞蝗的发生面积呈线性增大。  相似文献   

Canopy cover effects on local soil water dynamics in a tropical agroforestry system: Evaporation drives soil water isotopic enrichment          下载免费PDF全文

Niles J. Hasselquist  Laura Benegas  Olivier Roupsard  Anders Malmer  Ulrik Ilstedt 《水文研究》2018,32(8):994-1004

Despite the widely held assumption that trees negatively affect the local water budget in densely planted tree plantations, we still lack a clear understanding of the underlying processes by which canopy cover influences local soil water dynamics in more open, humid tropical ecosystems. In this study, we propose a new conceptual model that uses a combination of stable isotope and soil moisture measurements throughout the soil profile to assess potential mechanisms by which evaporation (of surface soil water and of canopy‐intercepted rainfall) affects the relationship between surface soil water isotopic enrichment (lc‐excess) and soil water content. Our conceptual model was derived from soil water data collected under deciduous and evergreen plants in a shade grown coffee agroforestry system in Costa Rica. Reduced soil moisture under shade trees during the “drier” season, coinciding when these trees were defoliated, was largely the result of increase soil water evaporation as indicated by the positive relationship between soil water content and lc‐excess of surface soil water. In contrast, the evergreen coffee shrubs had a higher leaf area index during the “drier” season, leading to enhanced rainfall interception and a negative relationship between lc‐excess and soil water content. During the wet season, there was no clear relationship between soil water content and between lc‐excess of surface soil water. Greater surface soil water under coffee during the dry season may, in part, explain greater preferential flow under coffee compared with under trees in conditions of low rainfall intensities. However, with increasing rainfall intensities during the wet season, there was no obvious difference in preferential flow between the two canopy covers. Results from this study indicate that our new conceptual model can be used to help disentangling the relative influence of canopy cover on local soil water isotopic composition and dynamics, yet also stresses the need for additional measurements to better resolve the underlying processes by which canopy structure influences local water dynamics.  相似文献   

Estimation of vegetation LAI from hyperspectral reflectance data: Effects of soil type and plant architecture     

Roshanak Darvishzadeh  Andrew Skidmore  Clement Atzberger  Sip van Wieren 《International Journal of Applied Earth Observation and Geoinformation》2008

The retrieval of canopy biophysical variables is known to be affected by confounding factors such as plant type and background reflectance. The effects of soil type and plant architecture on the retrieval of vegetation leaf area index (LAI) from hyperspectral data were assessed in this study. In situ measurements of LAI were related to reflectances in the red and near-infrared and also to five widely used spectral vegetation indices (VIs). The study confirmed that the spectral contrast between leaves and soil background determines the strength of the LAI–reflectance relationship. It was shown that within a given vegetation species, the optimum spectral regions for LAI estimation were similar across the investigated VIs, indicating that the various VIs are basically summarizing the same spectral information for a given vegetation species. Cross-validated results revealed that, narrow-band PVI was less influenced by soil background effects (0.15 ≤ RMSE_cv ≤ 0.56). The results suggest that, when using remote sensing VIs for LAI estimation, not only is the choice of VI of importance but also prior knowledge of plant architecture and soil background. Hence, some kind of landscape stratification is required before using hyperspectral imagery for large-scale mapping of vegetation biophysical variables.  相似文献   

黄淮海平原冬小麦最大可能蒸散的估算   总被引：1，自引：1，他引：0       下载免费PDF全文

吴霞  王培娟  陈鹏狮  邬定荣  霍治国 《应用气象学报》2017,28(6):690-699

作物最大可能蒸散考虑了作物及当地地表状况,为当地地表实际覆盖情况下实际蒸散的理论上限值,能客观分析作物对水分的需求程度和农业干旱状况。基于遥感（叶面积指数和地表反照率）数据和逐日气象数据,利用Penman-Monteith公式,计算黄淮海平原小麦种植区27个气象站冬小麦生育期2000-2015年逐日蒸散,提取得到冬小麦生育期逐日最大可能蒸散数据集,并分析其时空变化特征及成因。结果表明:与联合国粮农组织（FAO）单作物系数法计算的最大可能蒸散E_k对比,区域平均最大可能蒸散E_c的时间变化趋势与E_k一致,空间分布上E_c符合客观实际。黄淮海平原冬小麦全生育期、越冬期和返青-拔节期E_c均呈北低南高的分布特征,日平均值分别为1.99 mm,0.44 mm和2.75 mm;其余3个生育期（越冬前、抽穗期、乳熟-成熟期）在空间分布上差异不大,日平均值分别为1.23 mm,4.71 mm和3.74 mm。冬小麦不同生育期（含全生育期）E_c的空间分布主要受叶面积指数分布特征的影响,二者呈显著正相关关系。  相似文献   

Quantification winter wheat LAI with HJ-1CCD image features over multiple growing seasons     

《International Journal of Applied Earth Observation and Geoinformation》2016

Remote sensing images are widely used to map leaf area index (LAI) continuously over landscape. The objective of this study is to explore the ideal image features from Chinese HJ-1 A/B CCD images for estimating winter wheat LAI in Beijing. Image features were extracted from such images over four seasons of winter wheat growth, including five vegetation indices (VIs), principal components (PC), tasseled cap transformations (TCT) and texture parameters. The LAI was significantly correlated with the near-infrared reflectance band, five VIs [normalized difference vegetation index, enhanced vegetation index (EVI), modified nonlinear vegetation index (MNLI), optimization of soil-adjusted vegetation index, and ratio vegetation index], the first principal component (PC1) and the second TCT component (TCT2). However, these image features cannot significantly improve the estimation accuracy of winter wheat LAI in conjunction with eight texture measures. To determine the few ideal features with the best estimation accuracy, partial least squares regression (PLSR) and variable importance in projection (VIP) were applied to predict LAI values. Four remote sensing features (TCT2, PC1, MNLI and EVI) were chosen based on VIP values. The result of leave-one-out cross-validation demonstrated that the PLSR model based on these four features produced better result than the ten features’ model, throughout the whole growing season. The results of this study suggest that selecting a few ideal image features is sufficient for LAI estimation.  相似文献   

1982-2015年全球植被变化及其与温度和降水的关系     

李茂华  都金康  李皖彤  李闰洁  吴森垚  王姗姗 《地理科学》2020,40(5):823-832

采用1982-2015年的GLASS-LAI (Global Land Surface Satellite-Leaf Area Index )遥感数据和CRU(Climatic Research Unit)气象数据,利用Mann-Kendall趋势法分析了过去34 a全球9种植被的叶面积指数(Leaf Area Index,LAI)时空变化特征;使用相关分析和逐步线性回归分别探讨了全球9种植被LAI与降水、温度的年际与月关系。结果表明：① 全球植被总体呈现绿化趋势,其中变化较大的是草原、稀树草原、常绿阔叶林和多树草原;在植被生长的绿化和褐化趋势中,面积占比最大的植被类型均为草原,说明草原生态系统易受环境因素的影响。② 从年际关系看,草原和开放灌丛的LAI与年均降水多呈正相关关系,而温度对不同纬度植被的LAI存在正负2种影响。其原因为温度升高对中低纬度的植被生长有抑制作用,而对高纬度地区植被生长有促进作用。③ 从年内关系看,南半球降水和温度共同作用于植被的生长;而北半球除常绿阔叶林的生长与温度关系更为紧密外,其它类型植被的生长主要受降水影响。④ 逐步线性回归结果表明,当月温度的升高对常绿阔叶林、混交林和农作物的生长具有促进作用,而多树草原和草原2种植被的生长受当月降水的影响最为显著。  相似文献   

Evaluation of SPOT imagery for the estimation of grassland biomass     

《International Journal of Applied Earth Observation and Geoinformation》2015

In many regions, a decrease in grasslands and change in their management, which are associated with agricultural intensification, have been observed in the last half-century. Such changes in agricultural practices have caused negative environmental effects that include water pollution, soil degradation and biodiversity loss. Moreover, climate-driven changes in grassland productivity could have serious consequences for the profitability of agriculture. The aim of this study was to assess the ability of remotely sensed data with high spatial resolution to estimate grassland biomass in agricultural areas. A vegetation index, namely the Normalized Difference Vegetation Index (NDVI), and two biophysical variables, the Leaf Area Index (LAI) and the fraction of Vegetation Cover (fCOVER) were computed using five SPOT images acquired during the growing season. In parallel, ground-based information on grassland growth was collected to calculate biomass values. The analysis of the relationship between the variables derived from the remotely sensed data and the biomass observed in the field shows that LAI outperforms NDVI and fCOVER to estimate biomass (R² values of 0.68 against 0.30 and 0.50, respectively). The squared Pearson correlation coefficient between observed and estimated biomass using LAI derived from SPOT images reached 0.73. Biomass maps generated from remotely sensed data were then used to estimate grass reserves at the farm scale in the perspective of operational monitoring and forecasting.  相似文献   

基于机载MASTER数据的果园叶面积指数遥感反演     

陈健  王文君  盛世杰  张雪红 《国土资源遥感》2015,(2):69-74

叶面积指数(leaf area index,LAI)是描述植被冠层结构的重要参数,准确获取果树的LAI对果树长势监测和果树估产均有重要作用。以美国加州中部的果园为研究区,基于沿太阳主平面飞行成像的机载MODIS/ASTER模拟传感器(MODIS/ASTER airborne simulator,MASTER)数据,利用实测LAI数据与归一化差值植被指数(normalized difference vegetation index,NDVI)、归一化差值红外指数(normalized difference infrared index,NDII)和归一化差值水体指数(normalized difference water index,NDWI)分别建立回归模型,并选取NDWI进行研究区LAI的反演。结果表明:由于地物的二向性反射,垂直太阳主平面飞行获取的遥感数据具有明显的亮度梯度现象,而沿太阳主平面飞行获取的遥感数据几乎不受亮度梯度的影响;NDVI在高植被覆盖区容易达到饱和,而NDWI比NDVI和NDII具有更高的拟合度和更小的均方根误差,更加适合研究区LAI的遥感反演;该研究结果可以丰富LAI反演理论,也可以为研究LAI尺度问题提供理论和数据支持。  相似文献