Remote Sensing
Investigation the Effect of the Forest Height and Forest Density on the Accuracy of Forest Height Estimation Methods Using PolInSAR Data

Tayebe Managhebi; Akram JafarAghaee

Volume 2, Issue 1 , September 2022, , Pages 132-146

https://doi.org/10.22034/jssta.2022.298650.1030

Abstract
  Forest biomass is one of the most important parameters in the ecosystem changes assessment and global carbon cycle modelling. In the other hand, the forest height is an effective parameter in the allometric equations which are used for biomass estimation.  In this research, the effect of two physical ...  Read More

Remote Sensing
Improvement the Leaf Water Content Inventory Model Based on the Hyper Spectral Data

Tayebe Managhebi; Mohammadreza Mobasheri

Volume 1, Issue 2 , March 2022, , Pages 10-21

https://doi.org/10.22034/jssta.2022.295493.1028

Abstract
  The leaf water content is a specific index for the assessment of the physiological status of the plant based on the water content of the vegetation. This research provides an appropriate model based on the reflectance spectra between 400 and 2500 nm to estimate the leaf water content. We examined 53 ...  Read More