Optical remote sensing data is commonly used for estimating biophysical characteristics of forest like tree biodiversity
and species richness. Recent advances in radar remote sensing technology raise significant interest to take advantage of
the complementary nature of optical and radar data. This paper proposes an approach combining Landsat ETM+ and
Advanced Land-Observing Satellite- Phased Array L-band Synthetic Aperture Radar (ALOS/PALSAR) data for forest
biodiversity and species richness monitoring. Inventory data from one part of the Hyrcanian forest in north of Iran is
used as field data. Visible and infrared ETM+ bands, indices and textures information as well as HH, HV backscattering,
polarimetric features (alpha angle, entropy and anisotropy) and SAR texture are extracted. We use the multiple linear
regression model to find the best components to describe the biodiversity indices in the study area. We show how tree
biodiversity is related to information derived from ETM+ and ALOS/PALSAR data at 95% confidence level (R!=0.63,
root mean square error (RMSE) =1.70). Also, the effects of each component on the variation of biodiversity are shown.
ETM+ reflectance, polarimetric features and texture from ALOS/PALSAR can describe approximately 63% of
biodiversity. The results of multi source monitoring of tree biodiversity and species richness are promising and worth
further investigation.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.