@Article{OliveiraBrMoShBeSaAr:2017:EvMOEs,
author = "Oliveira, Gabriel de and Brunsell, Nathaniel A. and Moraes,
Elisabete Caria and Shimabukuro, Yosio Edemir and Bertani, Gabriel
and Santos, Thiago V. dos and Arag{\~a}o, Luiz Eduardo Oliveira e
Cruz de",
affiliation = "{University of Kansas} and {University of Kansas} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {University of Minnesota} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Evaluation of MODIS-based estimates of water-use efficiency in
Amazonia",
journal = "International Journal of Remote Sensing",
year = "2017",
volume = "38",
number = "19",
pages = "5291--5309",
abstract = "This study aimed to assess the spatial-temporal patterns of
water-use efficiency (WUE) obtained through MODIS gross primary
productivity (GPP) and evapotranspiration (ET) products (MOD17 for
GPP and MOD16 for ET) in the Upper Tapajos and Curua-Una River
basins, located in the oriental flank of the Amazon region, and to
validate the results with flux tower measurements within the
Large-Scale Biosphere-Atmosphere Experiment in Amazonia (LBA)
project. The spatial variation of WUE was primarily related to the
larger presence of forested areas in the Upper Tapajos River basin
(western part) compared with the Curua-Una River basin (eastern
part), which is situated within the so-called arc of
deforestation. Temporally, WUE showed a pronounced seasonal
pattern, varying with the dry and wet seasons in the region. A
decrease of similar to 3% in WUE was observed during the dry
season, which was related to the low water availability and
increased vapour pressure deficit during the dry period, which
induces stomatal closure, leading to a decline in the
photosynthetic rate. Comparison between the WUE estimates obtained
by MODIS data and observations from the LBA towers showed an
average error of 17%, varying between similar to 12% and similar
to 28% for the different sites. MODIS WUE depends on the accuracy
of both GPP and ET estimation. In this sense, we highlight that
improvements in both MODIS GPP and ET products are necessary and
should focus on reducing the uncertainties related to the
biophysical vegetation parameters and meteorological data that
serve as input information in the algorithms.",
doi = "10.1080/01431161.2017.1339924",
url = "http://dx.doi.org/10.1080/01431161.2017.1339924",
issn = "0143-1161",
language = "en",
targetfile = "Oliveira_evaluation.pdf",
urlaccessdate = "27 abr. 2024"
}