Article ID Journal Published Year Pages File Type
6346648 Remote Sensing of Environment 2014 11 Pages PDF
Abstract
To improve the accuracy in estimating LUE, we examined the potential of combinational use of VIs and meteorological factors. Variable selection by stepwise multiple regression showed that the best variable combination for LUE estimation was the PRI and VPD (R = 0.612). The relative root mean square error (rRMSE) in the simple regression models using PRI, VPD and PRI × VPD, and the multiple regression model using PRI and VPD, was 22.5%, 19.4%, 19.0% and 18.7%, respectively. Based on these results, we concluded that (1) the estimation method solely based on the PRI as in the case of other temperate deciduous forests is not suitable in the tropical evergreen rainforest, and (2) the combinational use of the PRI and VPD offers one of the better models for estimating LUE in tropical evergreen rainforests.
Related Topics
Physical Sciences and Engineering Earth and Planetary Sciences Computers in Earth Sciences
Authors
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