Name
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/JSTARS.2013.2262767 | Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of |
Keywords | Field | DocType |
air pollution,carbon capture and storage,remote sensing,vegetation,ghg atmospheric concentration,geoeye-1 satellite bands,carbon stock estimation,coffee biomass,coffee biophysical properties,coffee crop biomass,crops carbon stock,dry biomass,greenhouse gas,high resolution satellites images,high-resolution image generation,plant area index,remote sensing data,vegetation index,biophysical properties measurement,geoeye-1,coffee arabica | Biomass,Vegetation,Satellite,Remote sensing,Carbon capture and storage,Normalized Difference Vegetation Index,Air pollution,Empirical relationship,Mathematics,Carbon | Journal |
Volume | Issue | ISSN |
6 | 3 | 1939-1404 |
Citations | PageRank | References |
3 | 0.53 | 3 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Priscila P. Coltri | 1 | 4 | 2.58 |
| Jurandir Zullo Jr. | 2 | 19 | 4.70 |
| Renata Ribeiro do Valle Gonçalves | 3 | 3 | 2.56 |
| Luciana A. S. Romani | 4 | 7 | 1.27 |
| Hilton Silveira Pinto | 5 | 3 | 0.87 |