Name: FABRÍCIO MOULIN MOTA
Publication date: 24/07/2015
Advisor:
Name |
Role |
|---|---|
| FÁBIO LUIZ PARTELLI | Advisor * |
Examining board:
| Name |
Role |
|---|---|
| ALEXANDRE ROSA DOS SANTOS | Co advisor * |
| EDNEY LEANDRO DA VITÓRIA | Internal Alternate * |
| FÁBIO LUIZ PARTELLI | Advisor * |
| JÉFERSON LUIZ FERRARI | External Examiner * |
| PAULO CEZAR CAVATTE | External Alternate * |
Summary: MOTA, Fabricio Moulin; M.Sc; Federal University of Espirito Santo; July 2015; Vegetation Index of Temporal Dynamics and Meteorological Elements in conilon coffee. Supervisor: Fabio Luiz Partelli, Co-Advisor: Alexandre Rosa dos Santos.
The remote sensing technique with the use of weather station data, has been widely studied for obtaining information about the vegetation. Highlighting the vegetation indexes through these indexes are possible to obtain information about green biomass and growth parameters and development of vegetation. This research goal was to analyze the dynamics of representative vegetation in agricultural fields (conilon coffee) in a region of São Mateus, ES, from vegetation indexes generated by the MODIS - TERRA and its relationship with meteorological data during the period 2007 to 2014. It has been used data of images of time series of NDVI (Normalized Difference Vegetation Index) and EVI (Enhanced Vegetation Index) from MODIS sensor (Moderate Resolution Imaging Spectroradiometer), and data from automatic station A616 INMET due the period of 2007 to 2014. The NDVI and EVI can be influenced by meteorological variables. The typical behavior of each index in each period was different. The meteorological variables and the EVI and NDVI can be considered a sensitive indicator to evaluate the effects of crop phenology culture. The weather variables related to NDVI and EVI showed promising results for use as an analytical indicator of vegetation.
Key words: Remote Sensing, sensor MODIS, NDVI, EVI, Coffea canephora.
