Forest measurement for purposes of mitigating climate change through carbon capture by forests call for increasingly frequent forest measurement campaigns that need to balance cost with accuracy and precision. Often this implies the use of remote sensing-based measurement methods. For any remote-sensing based methods to be accurate, they must be validated against field data. A method is present that combines field measurements with two layers of remote sensing data: sampling of forests by airborne laser scanning (LiDAR) and Landsat imagery. The framework presented here is called Lidar-Assisted Multi-source Programme—or LAMP—for Above Ground Biomass estimation. The method splits the biomass estimation task into two separate stages: forest type stratification from Landsat imagery and mean biomass density estimation of each forest type by LiDAR models calibrated on field plots. The LAMP method has been applied to a 2 million hectare area in 12 districts of Southern Nepal, the Terai Arc Landscape or TAL to calculate the emission Reference Levels (RLs) that are required for the UN REDD+ program that was accepted as part of the Paris Climate Agreement.
*Basanta Gautam is a manager of Forestry Department at Arbonaut Ltd. Finland. He is permanent resident of Pokhara. He has Master of Science in Agriculture and Forestry from the University of Eastern Finland and Master of Science in European Forestry from University of Lleida, Spain. He has authored four books and more than ten peer reviewed research articles. His research area includes, but not limited to, Cimate Change, GIS, Remote Sensing. He has experience of working in various research missions to India, Thailand, Cambodia, Mexico, South Africa, Qatar, Poland, Norway, Sweden, the Netherlands, USA, Italy, Australia, Cameroon, Uganda, Sri Lanka, Germany
Date: 16 March, 2019
2 Chaitra, 2075
Vaccination is a better way to prevent infectious diseases. Traditional vaccines are effective and unsafe; however, subunit vaccines are less effective and safe. Thus, vaccine adjuvants are used to boost immunogenic responses of subunit vaccines. Emulsions, liposomes, polymeric nanoparticles and inorganic nanoparticles are commonly used particulate vaccine adjuvants. In this talk, I will try to introduce particulate vaccine adjuvants highlighting current status and future prospects.
*Rakesh Bastola, has completed MS in Pharmacy from Keimyung University, Republic of Korea as Korean Government Scholarship Grantee. He studied and worked under the supervision of Assoc. Prof. Sangkil Lee. He completed B. Pharm. from Pokhara University. Till date he has registered a patent and published 3 papers in reputed peer-reviewed journals.
Date: 01 December, 2018
15 Mangsir, 2075