1. The State Key Laboratory of Remote Sensing Science, Laboratory of Digital Earth Sciences, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China;
2. Graduate University of Chinese Academy of Science, Beijing 100049, China
Abstract Based on the spectral first order differential techniques and equivalent MODIS vegetation index according to spectral response function using the field sampling survey, this paper built the hyperspectral remote sensing estimation models for total biomass and LAI of wheat named Jingdong 12. The research shows that: 1the largest correlation between total dry biomass and canopy spectra lies at 552 nm and 721 nm, and the relationship between LAI and canopy spectral is significant in the band range of 400~1 100 nm; 2the relationship between red edge position (REP) and wheat biomass is most significant, with R being 0.818; 3in the 6 vegetation indices similarly to MODIS-VI, EVI is most sensitive to total dry biomass; 4the linear model using REP estimation biomass is the best,with R2 being 0.669 4. Exponential model between LAI and EVI has the strongest fitting degree, with R2 being 0.94. Using field spectral data and band response function to retrieve wheat parameters can provide important research methods for making use of satellite remote sensing data characterized by large area, non-destruction and acquisition of timely ground vegetation information.
WANG Qing,ZENG Qi-ming,LIAO Jing-juan. The Hyperspectral Remote Sensing Estimation Models of Total Biomass and True LAI of Wheat[J]. REMOTE SENSING FOR LAND & RESOURCES,
2012, 24(4): 30-35.
[1] Chen J M,Josef C.Retrieving Leaf Area Index of Boreal Conifer Forests Using Landsat TM Images[J].Remote Sensing of Environment,1996,55(2),153-162.
[2] Bai J H,Li S K,Wang K R,et al.Estimating Aboveground Fresh Biomass of Different Cotton Canopy Types with Homogeneity Models Based on Hyper Spectrum Parameters[J].Agricultural Sciences in China,2007,6(4):437-445.
Li W G,Zhao C J,Wang J H,et al.Research Situation and Prospects of Wheat Condition Monitoring Based on Growth Model and Remote Sensing[J].Remote Sensing for Land and Resources,2007(2):6-9(in Chinese with English Abstract).
[4] Casanova D,Epema G F,Goudriaan J.Monitoring Rice Reflectance at Field Level for Estimating Biomass and LAI[J].Field Crops Research,1998,55(1/2):83-92.
[5] Hansen P M,Schjoerring J K.Reflectance Measurement of Canopy Biomass and Nitrogen Status in Wheat Crops Using Normalized Difference Vegetation Indices and Partial Least Squares Regression[J].Remote Sensing of Environment,2003,86(4):542-553.
[6] Thenkabil P S,Smith R B,De Pauw E.Hyperspectral Vegetation Indices and Their Relationships with Agricultural Crop Characteristics[J].Remote Sensing of Environment,2000,71(2):158-182.
Song K S,Zhang B,Li F,et al.Correlative Analysis of Hyperspectral Reflectance,Soybean LAI and Above Ground Biomass[J].Transaction of the Chinese Society of Agricultural Engineering,2005,21(1):36-40(in Chinese with English Abstract).
Huang C Y,Wang D K,Cao L P,et al.Models for Estimating Cotton Above Ground Fresh Biomass Using Hyperspectral Data[J].Transaction of the Chinese Society of Agricultural Engineering,2007,23(3):131-135(in Chinese with English Abstract).
Bai J H,Li S K,Wang K R,et al.Estimation Models of Cotton Above Ground Fresh Biomass Based on Filed Hyperspectral Remote Sensing[J].Acta Agronomica Sinca,2007,33(2):311-316(in Chinese with English Abstract).
Zhang X,Zhang B,Wei Z,et al.Study on Spectral Indices of MODIS for Wheat Growth Monitoring[J].Journal of Image and Graphics,2005,10(4):420-424(in Chinese with English Abstract).
Jin J,Wang G H,Liu X B,et al.Allocation and Transformation of Photosynthetic Carbon in Belowground Part of Crops During Their Growth Period:A Review[J].Chinese Journal of Ecology,2007,27(8):1393-1399(in Chinese with English Abstract).
[12] Huete A,Justice C,Leeuwen W V.MODIS Vegetation Index(MOD13)Version 3.Algorithm Theoretical Basis Document[M/OL].University of Vimginia,1999,32-33[2012-09-15].http://modis.gsfc.nasa.gov/data/atbd/atbd_mod13.pdf.
[13] Danson F M,Plummer S E.Red-edge Response to Forest Leaf Area Index[J].International Journal of Remote Sensing,1995,16(1):183-188.
[14] Chen Q,Huang J F,Wang R C,et al.Analyses of the Correlation Between Rice LAI and Simulated MODIS Vegetation Indics,Red Edge Position[J] Transactions of the Chinese Society of Agricultural Engineering,19(5):104-108.
Wang D C,Zhang D Y,Zhao J L,et al.Using Extraction of Red Edge Position to Validate Consistency of Hyperspectral Imaging and Non-imaging Data[J].Spectroscopy and Spectral Analysis,2011,31(9):2450-2454(in Chinese with English Abstract).
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