Application of remote-sensing technology to forest carbon storage estimate

Author

Liu, Wei ; Zhang, Xiaoli ; Ma, Jing

Author_Institution

Key Lab. for Silviculture & Conservation of Minist. of Educ., Beijing Forestry Univ., Beijing, China

fYear

2011

fDate

24-26 June 2011

Firstpage

3858

Lastpage

3860

Abstract

Remote-sensing technology has special advantages in estimating forest carbon storage and biomass on the ground. The paper summarizes three main methods of estimating forest carbon storage by using remote-sensing technology, namely, multielement regression analytical method, artificial neural network method and mathematical modeling method. Also the advantages and disadvantages of each method are explained. It briefly introduces the study progress of applying these methods to estimating forest carbon storage, and discusses the development trend of forest carbon storage estimate in the future.

Keywords

climate mitigation; forestry; geochemistry; geophysical techniques; neural nets; regression analysis; remote sensing; artificial neural network method; biomass estimation; forest carbon storage estimation; mathematical modeling method; multielement regression analytical method; remote-sensing technology; Artificial neural networks; Biological system modeling; Biomass; Carbon; Estimation; Forestry; Remote sensing; Remote-sensing technology; biomass; carbon storage;

fLanguage

English

Publisher

ieee

Conference_Titel

Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-9172-8

Type

conf

DOI

10.1109/RSETE.2011.5965081

Filename

5965081