Title :
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
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;
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
DOI :
10.1109/RSETE.2011.5965081
