利用遥感数据分析青藏高原水热条件对叶面积指数的影响     

王永前  施建成  蒋玲梅  杜今阳  孙瑞静  田帮森 《国土资源遥感》2008,19(4):81-86

利用遥感数据,以异于传统的点分析的方法,分析水热条件对植被的影响。以青藏高原为研究区域,利用2003年的遥感数据 进行分析,结果表明,在时间轴上,叶面积指数和温度、土壤水分、降雨存在着良好的相关性; 在空间分布上,叶面积指数和三 者的相关性在大部分区域是呈良好的正相关,在部分区域呈现了弱相关和负相关,且分析探讨了出现这种现象的原因。  相似文献   

2003—2019年邯郸市叶面积指数时空变化特征     

李武乾  张安兵  王贺封  于坤  焦月正 《测绘与空间地理信息》2022,(2):25-28

研究和掌握叶面积指数(LAI)时空变化特征,对区域植被保护、植树造林和环境保护具有重要的参考意义.本文以邯郸市为例,基于MCD15A3H遥感影像数据、DEM数据和土地利用等多元数据,引入Sen趋势与Mann-Kendall趋势检验分析方法,系统分析了邯郸市像素尺度上的LAI数值的变化特征,并基于不同的土地利用类型、不同...  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   

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   

龙口市污水灌区与清水灌区冬小麦植被指数变化差异分析     

姚磊  吴泉源  许颖  李海波  常方云 《地域研究与开发》2011,30(4)

为了研究污水灌溉对农田土壤环境和作物生长的影响,利用2008—2009年10期中国环境与灾害监测预报小卫星(HJ-1A)CCD1影像数据,结合龙口市冬小麦物候期的变化特征提取出单一冬小麦种植区,反演了冬小麦生长期内的归一化植被指数(NDVI),并对污水灌区和清水灌区的冬小麦植被指数进行比对分析,最后结合相应的重归一化植被指数(RDVI)和叶面积指数(LAI)进行验证。结果显示,研究区内污水灌溉已经对灌区的作物生长产生了一定的影响,污水灌溉区作物的生长状况明显不及清水灌溉区作物长势。说明污水灌溉会导致冬小麦的长势变差,对污水排放的控制和污水无污化处理势在必行。  相似文献   

Leaf area index retrieval using gap fractions obtained from high resolution satellite data: Comparisons of approaches,scales and atmospheric effects     

Alemu Gonsamo 《International Journal of Applied Earth Observation and Geoinformation》2010

This study is aimed at demonstrating the feasibility of the large scale LAI inversion algorithms using red and near infrared reflectance obtained from high resolution satellite imagery. Radiances in digital counts were obtained in 10 m resolution acquired on cloud free day of August 23, 2007, by the SPOT 5 high resolution geometric (HRG) instrument on mostly temperate hardwood forest located in the Great Lakes – St. Lawrence forest in Southern Quebec. Normalized difference vegetation index (NDVI), scaled difference vegetation index (SDVI) and modified soil-adjusted vegetation index (MSAVI) were applied to calculate gap fractions. LAI was inverted from the gap fraction using the common Beer–Lambert's law of light extinction under forest canopy. The robustness of the algorithm was evaluated using the ground-based LAI measurements and by applying the methods for the independently simulated reflectance data using PROSPECT + SAIL coupled radiative transfer models. Furthermore, the high resolution LAI was compared with MODIS LAI product. The effects of atmospheric corrections and scales were investigated for all of the LAI retrieval methods. NDVI was found to be not suitable index for large scale LAI inversion due to the sensitivity to scale and atmospheric effects. SDVI was virtually scale and atmospheric correction invariant. MSAVI was also scale invariant. Considering all sensitivity analysis, MSAVI performed best followed by SDVI for robust LAI inversion from high resolution imagery.  相似文献   

Estimation of forest LAI by inverting canopy reflectance models and multi-angle imagery     

X. Y. Wang  W. H. Qin  G.Q. Sun  J. Zhu 《国际地球制图》2019,34(9):959-976

Computer simulation models have seldom been applied for estimating the structural and biophysical variables of forest canopy. In this study, an approach for the estimation of leaf area index (LAI) using the information contained in hyperspectral, multi-angle images and the inversion of a computer simulation model are explored. For this purpose, L-systems combined with forest growth model ZELIG were applied to render 3-D forest architectural scenarios. The Radiosity-graphics combined model (RGM) was used to estimate forest LAI from the Compact High-Resolution Imaging Spectrometer/Project for On-Board Autonomy (CHRIS/PROBA) data. LAI inversion was performed using the look-up table (LUT) method. The estimated LAI was evaluated against in situ LAI measurement and compared against the LAI predictions from CHRIS data obtained using the Li-Strahler geometric-optical canopy reflectance model (GOMS). The results indicated that the method used in this study can be efficient strategy to estimate LAI by RGM model inversion.  相似文献   

锡林浩特草原区域MODIS LAI产品真实性检验与误差分析   总被引：2，自引：0，他引：2  

孙晨曦  刘良云  关琳琳  焦全军  彭代亮 《遥感学报》2014,18(3):518-536

本文研究了LAI产品真实性检验的指标和方法,建立了LAI产品真实性检验的流程,将遥感产品真实性检验误差分解为模型误差、数据定量化差异和尺度效应3个方面。以内蒙古锡林浩特草原为研究区,结合实测数据和Landsat TM数据建立NDVI-LAI模型,得到LAI验证参考"真值",据此"真值"按照本文的流程对MODIS LAI产品进行验证,分析了研究区MODIS LAI产品真实性检验的误差来源。研究表明,该研究区的MODIS LAI(MOD15A2)产品相对高估约25%。各个误差因素中,LAI遥感模型差异对于结果影响最大,MODIS LAI模型高估了该区域草地LAI(高估约44.2%);数据定量差异的影响也比较大,MODIS地表反射率数据与Landsat TM地表反射率数据的差异造成了约16.2%的低估;尺度效应的影响较小,造成约3.1%的低估,其中NDVI-LAI模型的尺度效应带来2.4%的低估,NDVI数据的尺度效应造成约0.7%的低估。  相似文献   

Variations in fraction of absorbed photosynthetically active radiation and comparisons with MODIS data in burned black spruce forests of interior Alaska     

Hiroki Iwata  Masahito Ueyama  Chie Iwama  Yoshinobu Harazono 《Polar Science》2013,7(2):113-124

Absorption of photosynthetically active radiation (PAR) by vegetation was observed in two burned black spruce forests, one and seven years after wildfire, in interior Alaska along with several vegetation properties. This study considered PAR absorption by mosses by examining the relationship between PAR transmittance and fractional coverage of green vegetation. Our results suggest that mosses absorbed a considerable fraction of incoming PAR in the burned forests, which cannot be neglected in evaluating the fraction of absorbed PAR (FPAR). The relationships between FPAR and vegetation indices revealed that enhanced vegetation index (EVI) may be suitable for expressing the spatial and temporal variation of FPAR, regardless of stand age after wildfire. The comparison between the observed in situ FPAR and FPAR derived from Moderate Resolution Imaging Spectroradiometer (MODIS FPAR) clearly showed that MODIS FPAR was highly overestimated. The most likely reason for the overestimation was identified as misclassification of land cover type. The current regional estimation of photosynthesis in boreal region based on the light-use efficiency approach and MODIS FPAR is probably overestimated, and an accurate distribution of FPAR is desired for clarifying the regional carbon exchange in boreal forests.  相似文献