| Grant number: | 18/21338-3 |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| Start date: | February 01, 2019 |
| End date: | January 31, 2023 |
| Field of knowledge: | Agronomical Sciences - Forestry Resources and Forestry Engineering |
| Principal Investigator: | Pedro Henrique Santin Brancalion |
| Grantee: | Danilo Roberti Alves de Almeida |
| Host Institution: | Escola Superior de Agricultura Luiz de Queiroz (ESALQ). Universidade de São Paulo (USP). Piracicaba , SP, Brazil |
| Associated research grant: | 13/50718-5 - Ecological restoration of riparian forests, native forest of economic production and of degraded forest fragments (in APP and RL) based on restoration ecology of reference ecosystems in order to scientifically test the precepts of the New Brazilian Forest Code, AP.BTA.TEM |
| Associated scholarship(s): | 19/14697-0 - Monitoring the demography and diversity of forests undergoing restoration using a drone-lidar-hyperspectral system, BE.EP.PD |
Abstract Several countries have submitted ambitious international pledges to restore by 2030 over 350 million hectares of degraded and deforested landscapes into multi-functional landscapes. Planning and monitoring forest and landscape restoration programs requires more comprehensive information at large scale using cost-effective methodologies to distinguish forest typologies and assess the recovery of forest structure and functions. This proposal will advance our understanding of restoration of tropical forests and their functions using several crucial variables derived by an unmanned aerial vehicle (UAV) using 3-D Lidar (Light Detection and Ranging) and HSI (hyperspectral imaging). The information offered by these remote sensors in such low cost platforms will revolutionize measurement and understanding of tropical forests restoration success, bringing detailed information from broad areas such as restoration, management and conservation, to significantly improve decision making in forestry. More specifically, we will investigate the potential of a UAV-based Lidar-HIS fusion approach to (i) distinguish forest types, tree diversity, above-ground biomass, (ii) identify tree species and predict (iii) microclimate, light and water environments and (iv) tree demography. These contributions may be key to advance monitoring of restoration programs implemented in the contexts of the Native Vegetation Protection Law (which replaced the Forest Code), the Brazilian commitments to the Paris Climate Agreement and Bonn Challenge, and national coalitions as such the Atlantic Forest Restoration Pact. | |
| News published in Agência FAPESP Newsletter about the scholarship: | |
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