Soybean LAI estimation with in-situ collected hyperspectral data based on BP-neural networks

Proceedings of the 3rd International Conference on Recent Advances in Space Technologies, RAST 2007

Volumn , Issue , 2007, Pages 331-336

  Li, Guozhu ^a,b   Song, Kaishan ^c   Niu, Shuwen ^b  

^a JILIN NORMAL UNIVERSITY   (China)

^b LANZHOU UNIVERSITY   (China)

^c INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AEROSPACE INDUSTRY; ARTIFICIAL INTELLIGENCE; ATMOSPHERICS; BACKPROPAGATION; CORRELATION METHODS; ESTIMATION; FOOD PROCESSING; FORESTRY; NEURAL NETWORKS; REFLECTION;

(I ,J) CONDITIONS; APPLIED (CO); CANOPY REFLECTANCE; HIDDEN LAYERS; HYPER-SPECTRAL DATA; HYPERSPECTRAL REFLECTANCE; IN ORDER; IN-SITU; INTERNATIONAL CONFERENCES; LEAF AREA INDEX (LIA); MAXIMUM CORRELATION COEFFICIENT; NEAR INFRA RED (NIR) REGION; NEGATIVE CORRELATIONS; POSITIVE CORRELATIONS; RED EDGE; REGRESSION (R2); SPACE TECHNOLOGY (ST); SPECTRAL REGIONS; SPECTRO-RADIOMETERS; VEGETATION INDEX (VI);

VEGETATION;

EID: 46449094010     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/RAST.2007.4284006     Document Type: Conference Paper

References (17)

1. Haboudanea D, Miller J R, Parley E, and Zarco-Tejadad P J, "Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture," Remote Sensing of Environment, vol. 90, pp. 337-352, 2004.
2. Jacquemoud S, Bacour C, Poilve H, et al., "Comparison of four radiative transfer models to simulate plant canopies reflectance: Direct and inverse mode," Remote Sensing Environment, vol. 74, pp. 417-481, 2000.
3. Qi J, Cabot F, Moran M S, and Dedieut G, "Biophysical Parameter Estimations Using Multidirectional Spectral Measurements," Remote Sensing of Environment, vol. 54, pp. 71-83, 1995.
4. Kokaly R F, and Clark R N, "Spectroscopic determination of leaf biochemistry using band-depth analysis of absorption features and stepwise multiple linear regression," Remote Sensing of Environment, vol. 67, pp. 267-287, 1999.
5. Curran P J, Dungan J L, and Peterson D L, "Estimating the foliar biochemical concentration of leaves with reflectance spectrometry: Testing the Kokaly and Clark methodologies," Remote Sensing of Environment, vol. 76, pp. 349-359, 2001.
6. Gong P, Wang, D X, and Liang S, "Inverting a canopy reflectance model suing a neural network," International Journal of remote sensing, vol. 20, pp. 111-122, 1999.
7. Gupta R K, and Woolley J T, "Spectral properties of soybean leaves," Journal of Agronomy, vol. 63, pp.123-126, 1971.
8. Adams M L, Norvell W A, Peverly J H, and Philpot W D, "Fluorescence and reflectance characteristics of manganese deficient soybean leaves: Effects of leaf age and choice of leaflet," Plant Soil, vol. 155/156, pp. 235-238, 1993,.
9. Wang D, Wilson C, and Shannon M, "Interpretation of salinity and irrigation effects on soybean canopy reflectance in visible and near-infrared spectrum domain," International Journal of Remote Sensing, vol. 23, pp. 811-824, 2002,.
10. WAN Xiuzheng, HUANG Jingfeng, LI Yunmei, SHEN Zhangquan, and WANG Renchao, "Relationships between rice agricultural parameter and hyperspectra data. Journal of Zhejiang University (Agricure & Life Science edition), vol. 28, pp. 283-288, 2002. (in Chinese)
11. LIU Jiandong, ZHENG Guosheng, LU Bu, and FAN Guanghua, "Characterization of clear-day radiation spectrum in soybean canopy," Chinese journal of oil crop sciences, vol. 32, pp. 113-119, 2000. (in Chinese)
12. Xu Binbin, Shi Xiaori, and Li Decheng, "Study on the simulated sulfurrain induced fluorescence spectrum and reflectance feature of soybean," Soil, vol.32, pp. 113-119, 2000. (in Chinese)
13. SONG Kaishan, ZHANG Bai, YU Lei, and WANG Zongming, "Study on the hyperspectral remote sensing estimation model for aboveground biomass with corn canopy reflectance," System science and comprehensive studies in agriculture, vol. 21, pp. 65-67, 2005.
14. Deering D W, Rouse J W, Haas R H, and Schell J A, "Measuring forage production of grazing units from Landsat MSS data," Proceedings of Tenth International Symposium on Remote Sensing of Environment, Ann Arbor, ERIM, vol. 2 pp. 1169-1178, 1975.
15. Rouse J W, Haas R H, Schell J A, and Deering D W, "Monitoring the vernal advancements and retrogradation of natural vegetation," NASA/GSFC, Final Report, Greenbelt, MD, USA, pp. 1-137, 1974.
16. Huete A R, "A soil vegetation adjusted index (SAVI)," Remote Sensing of Environment, vol. 25, pp.295-309, 1998.
17. Rondeaux G, Steven M, and Baret F, "Optimization of soil-adjusted vegetation indices," Remote Sensing of Environment, vol. 55, pp. 95-107, 1996.