Banca de QUALIFICAÇÃO: IARA BEZERRA DA SILVA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : IARA BEZERRA DA SILVA
DATE: 29/08/2023
TIME: 09:00
LOCAL: NESC/LISC CCET
TITLE:

ESTIMATE OF GROSS PRIMARY PRODUCTION IN A SEASONALLY DRY TROPICAL FOREST, LOCATED IN THE BRAZILIAN SEMIARID.

KEY WORDS:

GPP; Vegetation Index; Landsat 8; Google Earth Engine; Caatinga biome.

PAGES: 53
BIG AREA: Ciências Exatas e da Terra
AREA: Geociências
SUBÁREA: Meteorologia
SPECIALTY: Meteorologia Aplicada
SUMMARY:

A Gross Primary Productivity (GPP), which represents the total carbon (C) absorption within the canopy area during photosynthesis, is a crucial variable for assessing controls on carbon dynamics. GPP has been monitored worldwide using flux towers through the Eddy Covariance (EC) method and models, coupled with remote sensing data. However, these models have not been analyzed for a seasonally dry tropical forest within the caatinga biome. Hence, the aim of this study was to evaluate different methods for estimating GPP using Landsat 8 and Moderate Resolution Imaging Spectroradiometer (MODIS) data. Four GPP estimation models were tested: Vegetation Photosynthesis Model (VPM), Temperature and Greenness Model (TG), Vegetation Index Model (VI), and the MOD17A2 product, at an Ecological Station of Seridó (ESEC-Seridó) located in Serra Negra do Norte - RN municipality. As vegetation indices (VIs), the Normalized Difference Vegetation Index (NDVI), Land Surface Water Index (LSWI), and Enhanced Vegetation Index (EVI) were employed. Image acquisition and index calculation were performed using a script executed on the Google Earth Engine (GEE) platform, utilizing Landsat 8 satellite imagery. A total of 27 images were selected, representing both rainy and dry periods between 2014 and 2015. The models were compared with GPP measured by a micrometeorological tower equipped with the EC system, installed in the study area. It is anticipated that all models will be capable of simulating seasonal variations in GPP, becoming a significant tool for assessing how climate variability alters the dynamics of the carbon cycle in these spatially and temporally heterogeneous landscapes.

COMMITTEE MEMBERS:
Presidente - 1753398 - PABLO ELI SOARES DE OLIVEIRA
Interno - 2086472 - BERGSON GUEDES BEZERRA
Interno - 3217859 - PEDRO RODRIGUES MUTTI