Please use this identifier to cite or link to this item:
|Type:||Artigo de periódico|
|Title:||Coffee Crop's Biomass and Carbon Stock Estimation With Usage of High Resolution Satellites Images|
|Abstract:||Coffee is one of the most important crops in Brazil. Monitoring the crop is necessary to understand future production and a sound understanding of coffee's biophysical properties improves such monitoring. Biophysical properties such as dry biomass can be estimated using remote sensing, including the new generation of high-resolution images (GeoEye-1, for instance). In this study we aim to investigate the relationship between vegetation indices (VI) of high-resolution images (GeoEye-1) and coffee biophysical properties, including dry biomass and carbon. The study also aims at establishing an empirical relationship between remote sensing data (vegetation indices), simple field measurements and dry biomass, allowing calculation of coffee biomass and carbon without resorting to destructive methods. Individual GeoEye-1 satellite's bands (NIR, RED and GREEN) showed significant correlation with biomass, but the best correlation occurred with vegetation index. There is a strong correlation between NDVI, RVI, GNDVI and dry biomass, allowing the estimation of coffee crops' carbon stock. RVI had correlation with plant area index (PAI). The empirical correlation was established and the forecast equation of coffee biomass was created.|
|Subject:||Biophysical properties measurement|
|Editor:||Ieee-inst Electrical Electronics Engineers Inc|
|Citation:||Ieee Journal Of Selected Topics In Applied Earth Observations And Remote Sensing. Ieee-inst Electrical Electronics Engineers Inc, v. 6, n. 3, n. 1786, n. 1795, 2013.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.