@Article{TelesGalBreBalGai:2015:ReMOPh,
author = "Teles, Thiago Sousa and Galv{\~a}o, L{\^e}nio Soares and
Breunig, F{\'a}bio Marcelo and Balbinot, Rafaelo and Gaida,
William",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Universidade Federal
de Santa Maria (USFM)} and {Universidade Federal de Santa Maria
(USFM)} and {Universidade Federal de Santa Maria (USFM)}",
title = "Relationships between MODIS phenological metrics, topographic
shade, and anomalous temperature patterns in seasonal deciduous
forests of south Brazil",
journal = "International Journal of Remote Sensing",
year = "2015",
volume = "36",
number = "18",
pages = "4501--4518",
abstract = "We investigated the relationships between 11 phenological metrics,
topographic shade, and anomalous temperature patterns detected
using wavelet analysis in seasonal deciduous forests of south
Brazil. To obtain the metrics, we applied the TIMESAT algorithm to
the enhanced vegetation index (EVI) from Moderate Resolution
Imaging Spectroradiometer (MODIS)/Terra. MODIS acquires data from
the study area under a large seasonal amplitude in the solar
zenith angle (SZA). We evaluated the effect of topography on
phenological metrics by correlating the metrics with shaded relief
values. To analyse the inter-annual phenological metric variations
with anomalous and regular temperature patterns, we calculated
standard anomalies for each metric. Finally, we established
relationships between the metrics and the minimum, maximum, and
mean temperatures from growing seasons that spanned over 10
seasonal cycles between 2002 and 2012. The correlation results
with shaded relief showed that the left (LD) and right derivative
(RD), small integral (SInt), seasonal amplitude (SA), base level
(BL), and maximum VI value (MV) were sensitive to topographic
effects. The seasonal cycles with the highest temperatures in the
growing season (2006/2007 and 2009/2010) exhibited a delay at the
end of the cycle and a higher interval of duration and
productivity, which was indicated by the positive standard
anomalies for end of season (EOS), length of season (LOS), large
integral (LInt), and SInt. We observed a different result for the
lowest temperature cycle (2003/2004). The means for these metrics
in anomalous seasons differed significantly from the metrics of
other regular cycles at the 0.05 significance level using paired
t-tests. Statistically significant correlations were observed
between the metrics and minimum and mean temperature values of the
10 seasonal cycles.",
doi = "10.1080/01431161.2015.1084437",
url = "http://dx.doi.org/10.1080/01431161.2015.1084437",
issn = "0143-1161",
language = "en",
urlaccessdate = "02 maio 2024"
}