Estimation of tree heights using remote sensing data and an Allometric Scaling and Resource Limitations (ASRL) model

Author

Ni, Xiliang ; Shi, Yuli ; Choi, Sungho ; Cao, Chunxiang ; Myneni, Ranga B.

Author_Institution

State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China

fYear

2012

fDate

22-27 July 2012

Firstpage

7248

Lastpage

7251

Abstract

In this study, we developed the Allometric Scaling and Resource Limitations (ASRL) model by using the best GLAS tree heights to optimize the ASRL. At first, we obtained the best metric of GLAS tree heights by comparing with LVIS tree heights in six sites. Then, the best metric GLAS tree heights were separately used to optimize ASRL model and test the accuracy of prediction heights from optimized ASRL model in sites scale and country scale. Validation result showed that predicted tree heights from optimized ASRL model had high accuracy.

Keywords

vegetation; vegetation mapping; Allometric Scaling and Resource Limitations model; GLAS tree height metric; LVIS tree heights; remote sensing data; tree height estimation; Accuracy; Biological system modeling; Biomass; Measurement; Predictive models; Remote sensing; Vegetation; ASRL Model; GLAS; LVIS; Optimization Algorithm; Tree height;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International

Conference_Location

Munich

ISSN

2153-6996

Print_ISBN

978-1-4673-1160-1

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2012.6351989

Filename

6351989