Leaf area index(LAI)is an important parameter for decrypting canopy structure, and the accurate acquisition of orchards LAI plays an important role in monitoring the growing condition and estimating the yield of orchards. In this paper, the orchard blocks in the middle of California in USA were chosen as the study area, and LAI was retrieved using normalized difference water index (NDWI) through comparing regression models with surveyed leaf area indices and three vegetation indices composed of normalized difference vegetation index (NDVI), normalized difference infrared index (NDII) and NDWI based on the MODIS/ASTER airborne simulator(MASTER)image, which acquired flying along the solar plane. The results show that the image acquired by flying perpendicular to the solar plane has the phenomenon of maximum brightness gradients because of the bidirectional reflectance of surface object, whereas the image acquired by flying along the solar plane fails to show such a phenomenon. The comparison between three vegetation index models also shows that NDVI is easy to reach saturation in higher coverage area, and NDWI is more suitable for LAI retrieval in the study area because NDWI model has higher R2 and smaller RMSE. The results of this study can enrich the LAI retrieval theory and provide theoretical and data support for LAI scale problem.
陈健, 王文君, 盛世杰, 张雪红. 基于机载MASTER数据的果园叶面积指数遥感反演[J]. 国土资源遥感, 2015, 27(2): 69-74.
CHEN Jian, WANG Wenjun, SHENG Shijie, ZHANG Xuehong. Leaf area index retrieval of orchards based on airborne MASTER data. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(2): 69-74.
[1] 刘洋,刘荣高,陈镜明,等.叶面积指数遥感反演研究进展与展望[J].地球信息科学学报,2013,15(3):734-743. Liu Y,Liu R G,Chen J M,et al.Current status and perspectives of leaf area index retrieval from optical remote sensing data[J].Journal of Geo-Information Science,2013,15(3):734-743.[2] Liu Y,Liu R G,Chen J M.Retrospective retrieval of long-term consistent global leaf area index(1981—2011) from combined AVHRR and MODIS data[J].Journal of Geophysical Research:Biogeosciences(2005-2012),2012:117(G4).doi:10.1029/2012JG002084.[3] Myneni R B,Hoffman S,Knyazikhin Y,et al.Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data[J].Remote Sensing of Environment,2002,83(1/2):214-231.[4] Chen J M,Cihlar J.Retrieving leaf area index of boreal conifer forests using Landsat TM images[J].Remote Sensing of Environment,1996,55(2):153-162.[5] Baret F,Hagolle O,Geiger B,et al.LAI,FAPAR and cover CYCLOPES global products derived from VEGETATION.Part 1:Principles of the algorithm[J].Remote Sensing of Environment,2007,110(3):275-286.[6] Weiss M,Baret F,Garrigues S,et al.LAI and FAPAR CYCLOPES global products derived from VEGETATION.Part 2:Validation and comparison with MODIS collection 4 products[J].Remote Sensing of Environment,2007,110(3):317-331.[7] 陈健,倪绍祥,李云梅,等.芦苇地叶面积指数的遥感反演[J].国土资源遥感,2005,17(2):20-23.doi:10.6046/gtzyyg.2005.02.05. Chen J,Ni S X,Li Y M,et al.Remote sensing LAI retrieval of reed marsh[J].Remote Sensing for Land and Resources,2005,17(2):20-23.doi:10.6046/gtzyyg.2005.02.05.[8] 周宇宇,唐世浩,朱启疆,等.基于新型机载多角度传感器AMTIS的LAI反演[J].国土资源遥感,2003,15(4):9-12.doi:10.6046/gtzyyg.2003.04.03. Zhou Y Y,Tang S H,Zhu Q J,et al.LAI retrieval based on the new airborne multi-angle sensor AMTIS[J].Remote Sensing for Land and Resources,2003,15(4):9-12.doi:10.6046/gtzyyg.2003.04.03.[9] Simic A,Chen J M,Freemantle J R,et al.Improving clumping and LAI algorithms based on multiangle airborne imagery and ground measurements[J].IEEE Transactions on Geoscience and Remote Sensing,2009,48(4):1742-1759.[10] Manninen T,Korhonen L,Voipio P,et al.Leaf area index(LAI) estimation of boreal forest using wide optics airborne winter photos[J].Remote Sensing,2009,1(4):1380-1394.[11] Asmat A,Milton E J,Atkinson P M.Empirical correction of multiple flightline hyperspectral aerial image mosaics[J].Remote Sensing of Environment,2011,115(10):2664-2673.[12] Kennedy R E,Cohen W B,Takao G.Empirical methods to compensate for a view-angle-dependent brightness gradient in AVIRIS imagery[J].Remote Sensing of Environment,1997,62(3):277-291.[13] Schiefer S,Hostert P,Damm A.Correcting brightness gradients in hyperspectral data from urban areas[J].Remote Sensing of Environment,2006,101(1):25-37.[14] Cheng T,Riano D,Koltunov A,et al.Detection of diurnal variation in orchard canopy water content using MODIS/ASTER airborne simulator(MASTER) data[J].Remote Sensing of Environment,2013,132:1-12.[15] Hook S J,Myers J,Thome K J,et al.The MODIS/ASTER airborne simulator(MASTER):A new instrument for earth science studies[J].Remote Sensing of Environment,2001,76(1):93-102.[16] 侯学会,牛铮,黄妮,等.小麦生物量和真实叶面积指数的高光谱遥感估算模型[J].国土资源遥感,2012,24(4):30-35.doi:10.6046/gtzyyg.2012.04.06. Hou X H,Niu Z,Huang N,et al.The hyperspectral remote sensing estimation models of total biomass and true LAI of wheat[J].Remote Sensing for Land and Resources,2012,24(4):30-35.doi:10.6046/gtzyyg.2012.04.06.[17] 傅银贞,汪小钦,江洪.马尾松LAI与植被指数的相关性研究[J].国土资源遥感,2010,22(3):41-46.doi:10.6046/gtzyyg.2010.03.09. Fu Y Z,Wang X Q,Jiang H.The correlation between LAI and vegetation index of masson pine[J].Remote Sensing for Land and Resources,2010,22(3):41-46.doi:10.6046/gtzyyg.2010.03.09.[18] Hardisky M A,Klemas V,Smart R M.The influence of soil salinity, growth form and leaf moisture on the spectral radiance of spartina alterniflora canopies[J].Photogrammetric Engineering and Remote Sensing,1983,49:77-84.[19] Gao B C.NDWI:A normalized difference water index for remote sensing of vegetation liquid water from space[J].Remote Sensing of Environment,1996,58(3):257-266.