Woody Biomass Assessment with Multi-Resolution Satellite.

Forest woody biomass is directly related to indicators of forests sustainable development, forest productivity and ecosystem processes. Monitoring the aboveground forest woody biomass changes can yield a wealth of information relating to the state of our forests. Forest inventories are carried out to collect information regarding forest extent, tree species and their age and total annual increment. Consequently information at regular intervals is essential for forest management activity for stem volume and woody biomass assessment. The main objective of the present study is to develop a suitable regression model to assess aboveground biomass with ground based inventory over a heterogeneous tropical forest area using multi-resolution satellite data to solve the some of the questions i.e. can high resolution satellite data improve forest stratification and the biomass assessment?, Is there good relationship between vegetation spectra and the biomass? etc. Finally the present study is taken to provide baseline information for stratification of forest stratum from the input of classified multi resolution satellite data and extraction of the pixel information for the designed plots.

Dr.Laxmi Kant Sharma received the Ph.D. from University of Rajasthan(India) and in 2010 he received M.Tech.from IIRS(ISRO)Dehradun(India). He is currently an Assistant Professor (GeoInformatics) at the CLRM, Central University of Jharkhand, Ranchi (India). His research focuses on Assessment of Forest Biomass with advance Geospatial tools.