Title :
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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6351989
