01948nam a2200253 a 450000100080000000500110000800800410001910000180006024501010007826001440017930000180032350000170034152011520035865000120151065000190152265000130154165000100155465000200156465000250158470000220160970000250163170000210165670000170167719442092020-01-08       2012    bl uuuu     u00u1 u    #d1 aCOLTRI, P. P.  aCarbon stock estimation in coffee crops using high resolution satellites.h[electronic resource]  aIn: INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2012, Munich. Remote sensing for a dynamic earth: Proceedings. [S.l]: IEEEc2012  ap. 6657-6660.  aIGARSS 2012.  aABSTRACT: According to IPCC, the increase of greenhouse gases emissions (GHG) in atmosphere is causing global warming, and this phenomenon could increase global temperature. In tropical areas of Brazil, the air temperature is supposed to increase from 1.1oC to 6.4oC causing large impacts in agricultures areas, including coffee production regions. The main objective of this paper was quantify the biomass of Arabica coffee trees above-ground (and carbon stock) using the vegetation index NDVI based on a high resolution image (Geoeye-1) and biophysical measures of coffee trees. In addition, the study aimed to establish an empirical relationship between biophysical measures of Arabica coffee trees, remote sensing data and dry biomass. The study was conducted in the south of Minas Gerais, which is the main producing region of Arabica coffee in Brazil. It was conclude that NDVI based on images of high spatial resolution, such as from Geoeye-1 satellite, has a strong correlation with dry biomass and carbon sink, showing that it is possible to estimate the carbon stock of coffee crops using remote sensing data without destructive methods.  aBiomass  aRemote sensing  aBiomassa  aCafé  aCoffea Arábica  aSensoriamento Remoto1 aZULLO JÚNIOR, J.1 aGONÇALVES, R. R. V.1 aROMANI, L. A. S.1 aPINTO, H. S.