Inverting a Canopy Reflectance Model Using an Iterative Optimization Technique to Retrieve Canopy Chlorophyll Content

Canopy chlorophyll content provide vital information about exchanging of energy between vegetation and surrounding environment. This study proposed a method to extract canopy chlorophyll content of rice in northern part of Iran form multispectral sensor AVNIR-2 on board ALOS satellite. A field campaign was carried out in June 2010 and several biophysical and biochemical parameters were measured in rice fields. The well-known canopy radiative transfer model PROSAILH was inverted by using iterative method. To assess model inversion performance, RMSE and R2 between independent in situ measurements and estimated canopy chlorophyll content were used. Results demonstrate a proper agreement between estimated and measured canopy chlorophyll content (R2=0/57

Keywords:

Remote Sensing , Model Inversion , Chlorophyll , iterative optimization , PROSAILH