Using Lidar and Hyperspectral remote sensors to determine vegetation attributes

• Grant number: 21/13500-8
• Support Opportunities: Scholarships in Brazil - Technical Training Program - Technical Training
• Start date: December 01, 2021
• End date: February 28, 2023
• Field of knowledge: Agronomical Sciences - Forestry Resources and Forestry Engineering - Nature Conservation
• Agreement: Netherlands Organisation for Scientific Research (NWO)
• Principal Investigator: Pedro Henrique Santin Brancalion
• Grantee: Wesley Kauan Kubo
• Host Institution: Escola Superior de Agricultura Luiz de Queiroz (ESALQ). Universidade de São Paulo (USP). Piracicaba , SP, Brazil
• Associated research grant: 18/18416-2 - Understanding restored forests for benefiting people and nature - NewFor, AP.BTA.TEM

Abstract

Current ambitious forest restoration goals should count on efficient large-scale monitoring of emerging vegetation. Forest inventories are restricted to a plot scale and are not able to assess forest restoration at a landscape context. Lidar and Hyperspectral remote sensors combination have the potential to estimate variables such as stock biomass, diversity and functional attributes of trees throughout the landscape scale (hundreds or thousands of hectares). The goal of this scholarship is to provide help for postdoctoral proposal #2 in producing maps of forests under secondary succession in the state of São Paulo, Brazil, displaying attributes like forest biomass, potential carbon stocks gain over the next years and areas of greater potential for natural regeneration conduction. (AU)