@InProceedings{SantosArAnPaSoJú:2017:AnPrDe,
author = "Santos, Claudinei Oliveira and Arantes, Arielle Elias and Andrade,
Ana Carolina do Couto and Parente, Leandro Leal and Souza,
Guilherme Ferreira Arantes and J{\'u}nior, Laerte Guimar{\~a}es
Ferreira",
title = "An{\'a}lise da produtividade e degrada{\c{c}}{\~a}o das
pastagens do Brasil por meio de s{\'e}ries temporais MODIS GPP",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "5327--5333",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "Pasturelands constitute the dominant land use form in Brazil,
encompassing about 170 Mha of land and feeding the second largest
commercial cattle livestock in the world. Therefore, pastures
simultaneously represent a large source of greenhouse gases (GHG)
and a major mitigation potential. As a significant part of these
emissions are related to degradation processes, assessing how the
vegetative vigor of these pastures vary along time is of great
importance in support of public policies targeting a more
productive and environmentally sustainable cattle ranching
practice in the country. Within this context, in this study we
evaluated, based on MODIS GPP values (MOD17A2H), the productivity
trends of the Brazilian pasturelands. Our results suggest that
approximately 9% of the pasture areas in Brazil are undergoing
biomass loss, while circa of 32% present a positive trend. In
spite the fact that these results need to be considered on a very
preliminary basis, due to the many assumptions and errors
involved, the model presented in this work should be seen as a
feasible alternative for mapping the productivity and degradation
trends of pastures in Brazil.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59416",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSM4M2",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM4M2",
targetfile = "59416.pdf",
type = "Agricultura e pecu{\'a}ria",
urlaccessdate = "27 abr. 2024"
}