Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6346648 | Remote Sensing of Environment | 2014 | 11 Pages |
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 (RÂ =Â 0.612). The relative root mean square error (rRMSE) in the simple regression models using PRI, VPD and PRIÂ ÃÂ 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.
Keywords
Absorbed Photosynthetically Active RadiationAPARCCIFWHMPRISWCEVIGPPVPDLUELight use efficiencyProductivityPhotosynthetically active radiationParGross primary productionAir temperatureRemote sensingTairWater indexPhotochemical reflectance indexnormalized difference vegetation indexEnhanced Vegetation IndexNDVIVegetation indexPhenologyVolumetric soil water contentvapor pressure deficit
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Computers in Earth Sciences
Authors
Tatsuro Nakaji, Yoshiko Kosugi, Satoru Takanashi, Kaoru Niiyama, Shoji Noguchi, Makoto Tani, Hiroyuki Oguma, Abdul Rahim Nik, Abd Rahman Kassim,