Banca de QUALIFICAÇÃO: DENNER ROBERTO SACRAMENTO DOS SANTOS

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : DENNER ROBERTO SACRAMENTO DOS SANTOS
DATE: 19/12/2024
TIME: 14:00
LOCAL: Sala 07 - ICA/UFRA
TITLE:

Modeling of biomass in forest stand using photogrammetry and remote sensing

KEY WORDS:

Geographic Information System; Forest Biomass; Vegetation Index.

PAGES: 35
BIG AREA: Ciências Agrárias
AREA: Recursos Florestais e Engenharia Florestal
SUBÁREA: Manejo Florestal
SUMMARY:

Forests play a vital role in the ecological balance and climate regulation of the planet. These ecosystems provide a wide range of essential services, including carbon capture and storage, biodiversity conservation, water protection and the supply of raw materials. Accurately measuring the amount of biomass and other forest resources allows for more efficient and sustainable management of these areas, contributing to climate change mitigation and ensuring that the benefits of forests are available to future generations. Modeling forest biomass using aerial imagery and remote sensing techniques represents a significant innovation in the monitoring and management of forest ecosystems. With the advancement in the use and availability of drones and Unmanned Aerial Vehicles, obtaining accurate and frequent data on forest structure has become more accessible and efficient. The objective of this dissertation is to analyze the accuracy and feasibility of using remote sensing data to estimate tree crown diameter and height, comparing them with data obtained in the field, in addition to obtaining estimates of carbon absorption, stock and flux through vegetation indices and dendrometric variables. The research seeks to evaluate the correlation between measurements performed by traditional methods and those obtained by remote sensing technologies, such as drone and satellite images, aiming to identify the advantages, limitations and potential practical applications of each approach through the CO2Flux index, a product generated by the integration of the photochemical reflectance index, or PRI, with the NDVI, which represents the vigor of photosynthetically active vegetation. The mapping was done by the Mavic 2 Zoom drone, from the company DJI, obtaining 55 orthorectified images, with a flight speed of 12 m/s and an expected GSD of 3.4 cm. Presenting characteristics that favor the analysis of canopy diameter and IAF to, together with vegetation indices, generate good estimates for biomass stock and carbon flow in forest stands.

COMMITTEE MEMBERS:
Interno - 2411797 - FABIANO EMMERT
Interna - 1550131 - MARCELA GOMES DA SILVA
Externo à Instituição - RODRIGO ANTÔNIO PEREIRA JUNIOR - IFPA
Presidente - 2411802 - RODRIGO GERONI MENDES NASCIMENTO
Externa ao Programa - 3032686 - SILVANE VATRAZ BORGES - null