Estimating fractional vegetation cover in the Wenchuan earthquake disaster area using high-resolution airborne image and Landsat TM image

Quanjun Jiao; Bing Zhang; Liangyun Liu; Yong Hu

doi:10.1117/12.902065

23 November 2011 Estimating fractional vegetation cover in the Wenchuan earthquake disaster area using high-resolution airborne image and Landsat TM image

Quanjun Jiao, Bing Zhang, Liangyun Liu, Yong Hu

Author Affiliations +

Proceedings Volume 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 80062G (2011) https://doi.org/10.1117/12.902065
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

Abstract

The fractional vegetation cover (Fvc) can be characterized by strong temporal dynamics that need to be considered for environmental recovery assessment in the Wenchuan earthquake disaster area. This study is to test the capacity of satellite remote sensing images in estimating fractional vegetation cover in the Sichuan disaster area. Two different spectral mixture analysis methods including N* and N*2 transformed from NDVI are applied for fractional vegetation cover estimation using Landsat TM image. High-resolution fractional vegetation cover production from airborne images is used for validation. The result shows that N* has the non linear relationship with airborne fractional vegetation cover values in this study area and N*2 takes a better performance (R²=0.993). In total, retrieved Fvc values from Landsat TM image have a strong relationship to those from airborne image, and can be used in environmental dynamics assessment in the Wenchuan Earthquake disaster area.

Citation Download Citation

Quanjun Jiao, Bing Zhang, Liangyun Liu, and Yong Hu "Estimating fractional vegetation cover in the Wenchuan earthquake disaster area using high-resolution airborne image and Landsat TM image", Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 80062G (23 November 2011); https://doi.org/10.1117/12.902065

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KEYWORDS

Vegetation

Earth observing sensors

Landsat

Earthquakes

Advanced distributed simulations

Satellites

Remote sensing

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