PROSPECT INVERSION FOR INDIRECT ESTIMATION OF LEAF DRY MATTER CONTENT AND SPECIFIC LEAF AREA

摘要: Abstract. Quantification of vegetation properties plays an indispensable role in assessments ecosystem function with leaf dry mater content (LDMC) and specific area (SLA) being two important properties. Methods for fast, reliable accurate measurement LDMC SLA are still lacking. In this study, the inversion PROSPECT radiative transfer model was used to estimate these parameters. Inversion traditionally aims at quantifying its direct input parameters rather than identifying which can be derived indirectly from The technique has been tested here first time. Biophysical such as area, well fresh weights 137 samples were measured during a field campaign July 2013 mixed mountain forests Bavarian Forest National Park, Germany. Reflectance transmittance using ASD spec III equipped integrating sphere. inverted look-up table (LUT) approach NIR/SWIR region spectrum. retrieved evaluated their calculated R2 normalized root mean square error (nRMSE) values measurements. Among variables lowest nRMSE (0.0899) observed LDMC. For both traits higher (0.83 0.89 SLA) discovered. results indicate that studied quantified accurately PROSPECT. strong correlation between estimated electromagnetic spectrum suggests could assessed canopy landscape by hyperspectral remote sensing data.