Retrieval of Vegetation Canopy Water Content Based on Spectral Index Method

Abstract:

Based on the physical models of PROSPECT and SAIL, hyperspectral data of different scenes were simulated. According to the simulated data, we built 7 spectral indexes highly linear correlated to vegetation canopy water content, and analyzed the relationship between spectral indexes and canopy water content. Then we built a multiple linear model of canopy water content with the spectral indexes that are highly correlated with FMC (Fuel Moisture Content). At last, using the model, the vegetation canopy water content from Hyperion was obtained. It shows that the spectral indexes: II, NDWI, Ratio1200, Ratio975, WI1, are highly correlated with canopy water content, and the multiple linear model built with them produces an effective result.

• Periodical: Applied Mechanics and Materials (Volumes 295-298)
• Pages: 2446-2450
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.295-298.2446
• Online since: February 2013
• Authors: Lin Jing Zhang, Hong Zhang Ma, Xiao Bo Zhu, Lin Sun
• Keywords: Canopy Water Content, Regression Analysis, Spectral Index

References

[1] Elvidge CD: Int J Remote Sensing, Vol. 11, issue 11, 1775-1795, (1990).

[2] Mooney HA, Vitousek PM and Matson PA: Sc-ience, Vol. 238, 926-932, (1987).

[3] Weili Ruan and Zheng Niu: Remote Sensing Information, Vol. 72 (2003), p.5. (In Chinese).

[4] Verhoef, W: Remote Sens. Environ, Vol. 16, 125-141, (1984).

[5] Verhoef, W: Remote Sens. Environ, Vol. 17, 165-178, (1985).

[6] Chunyan Yan, Zheng Niu and Jihua Wang: Journal of Remote Sensing, Vol. 9 (2005), p.742. (In Chinese).

[7] Yan Shen, Zheng Niu and Qilong Miao: Nanjing Institution of Meteorology, Vol. 29 (2006), p.833. (In Chinese).