Study on Forest Growth Predicting by Using MODIS-NDVI Time Series

Yan Sun; Qiu Wen Zhang; Wei Liao

doi:10.4028/www.scientific.net/AMM.268-270.1882

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 268-270Study on Forest Growth Predicting by Using...

Study on Forest Growth Predicting by Using MODIS-NDVI Time Series

Abstract:

In this paper, the southwest forest area of China is chosen for the study area. This paper uses the first and second channel of MODIS L1B data which is been preprocessed as scaling, geometry correction and so on, for computing NDVI. The pretreatments are aimed at removing the effects from atmosphere, sensor and so on. Then we build NDVI time series for years based on MVC arithmetic. After that we build polynomial forest growth predicting model and Gauss-Newton forest growth predicting model for predicting the forest growth of study area. Meanwhile, this paper experiments the two models with real data for predicting the forest growth of the study area. The result shows that using MODIS-NDVI time series and mathematical method to build predicting models of forest growth is feasible.

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Periodical:

Applied Mechanics and Materials (Volumes 268-270)

Pages:

1882-1887

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.268-270.1882

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Online since:

December 2012

Authors:

Yan Sun, Qiu Wen Zhang, Wei Liao

Keywords:

Forest Growth Predicting Model, MODIS, NDVI, Vegetation Index Time Series

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References

[1] ErikT. Crosman, JohnD. Horel, MODIS-derived surface temperature of the Great Salt Lake.Remote Sensing of Environment,113(2007)73-81.

DOI: 10.1016/j.rse.2008.08.013

Google Scholar

[2] B.Pinty, T.Lavergne, J.-L.Widlowski, N.Gobron, M.M. Verstraete, On the need to observe vegetation canopies in the near-infrared to estimate visible light absorption.Remote Sensing of Environment,113(2006)10-23.

DOI: 10.1016/j.rse.2008.08.017

Google Scholar

[3] Michael Battaglia, PeterSands, DonWhite, DarylMummery, CABALA：a linked carbon water and nitrogen modelof forest growth for silvicultural decision support, Forest Ecology and Management, 193(2004)251-282.

DOI: 10.1016/j.foreco.2004.01.033

Google Scholar