@Article{DessayLaMaShBaDiRo:2004:CoSt19,
author = "Dessay, Nadine and Laurent, Henrii and Machado, Luiz Augusto
Toledo and Shimabukuro, Yosio Edemir and Batista, Getulio Teixeira
and Diedhiou, Arona and Ronchail, Josyane",
affiliation = "IRD Centre de Montpellier, ESPACE Unit, Montpellier, France and
Laboratoire d'Etudes des Transferts en Hydrologie et Environnement
(LTHE), Grenoble, France and ACA/IAE/CTA, Divisatiao Ciencias
Atmosfericas, Instituto de Aeronautica e Espaco, Sao Jose dos
Campos, SP 12228-904, Brazil and {} and Universidade de
Taubat{\'e}, Depto. de Ci{\^e}ncias Agrarias, Taubat{\'e}, SP,
Brazil and IRD Institut de Recherche pour le Developpement, Paris,
France and Universite Paris Sorbonne - Paris IV, Paris, France",
title = "Comparative study of the 1982-1983 and 1997-1998 El Nino events
over different types of vegetation in South America",
journal = "International Journal of Remote Sensing",
year = "2004",
volume = "25",
number = "20",
pages = "4063--4077",
month = "oct.",
keywords = "South America, Climatology, Data reduction, Radiometers, Sensors,
Data sets, Intercalibration, Normalized Difference Vegetation
Index (NDVI).",
abstract = "This work presents results which help to understand the behaviour
of the Normalized Difference Vegetation Index (NDVI) anomalies
over the South America continent during the two strongest El Nino
events of the last century (1982-1983 and 1997-1998). The data
used are parts of a long-term series (July 1981 to December 1999)
of calibrated NDVI data derived from National Oceanic and
Atmospheric Administration Advanced Very High Resolution
Radiometer (NOAA AVHRR) datasets. Special emphasis has been given
to the analysis of the response of the major Brazilian vegetation
types. This paper introduces an approach that enhances NDVI
anomalies relative to the long-term climatology of the region. We
find a negative NDVI anomaly for most of the region during the
1982-1983 event, whereas for the 1997-1998 event positive NDVI
anomalies were observed over most regions. Only the Nordeste
region showed a similar vegetation response for both events. We
identify three possible factors that may play a role in the
different NDVI responses to the two El Nino events. Firstly, poor
intercalibration of sensors may account for some, but not all of
the differences. Secondly the response of the vegetation may
depend upon the climate conditions prior to the El Nino events.
Thirdly, the difference in the onset date and the duration of the
mature phase of the two El Nino events, associated with very
different Atlantic surface temperatures are shown to have
dynamical consequences which may impact upon the vegetation.",
copyholder = "SID/SCD",
doi = "10.1080/0143116031000101594",
url = "http://dx.doi.org/10.1080/0143116031000101594",
issn = "0143-1161",
language = "en",
targetfile = "IJRS_Nadine_final.pdf",
urlaccessdate = "27 abr. 2024"
}