@Article{GalvãoSaSiSiMoBr:2015:FoSiSe,
author = "Galv{\~a}o, L{\^e}nio Soares and Santos, Jo{\~a}o Roberto dos
and Silva, Ricardo Dal'Agnol and Silva, Camila Val{\'e}ria and
Moura, Yhasmin Mendes de and Breunig, Fabio Marcelo",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {Universidade Federal de Santa Maria (UFSM)}",
title = "Following a site-specific secondary succession in the Amazon using
the Landsat CDR product and field inventory data",
journal = "International Journal of Remote Sensing",
year = "2015",
volume = "36",
number = "2",
pages = "574--596",
abstract = "Secondary forests cover large areas and are strong carbon sinks in
tropical regions. They are important for ecosystem functioning,
biodiversity conservation, watershed protection, and recovery of
soil fertility. In this study, we used the Surface Reflectance
Climate Data Record (CDR) product from 16 Thematic Mapper
(TM)/Landsat-5 images (1984-2010) to continuously track the
secondary succession (SS) of a forest following land abandonment
in 1980. Changes in canopy structure and floristic composition
were analysed using data from four field inventories (1995, 2002,
2007, and 2012). To characterize variations in brightness,
greenness, spectral reflectance, and shadows with the natural
regeneration of vegetation, we applied tasselled cap
transformations, principal component analysis (PCA), and linear
spectral mixture models to the TM datasets. Shade fractions were
plotted over time and correlated with the enhanced vegetation
index (EVI) and the normalized difference vegetation index (NDVI).
Because image texture may reflect the variability of the
successional process, eight co-occurrence-based filter metrics
were calculated for selected TM bands and plotted as a function of
time since abandonment. The successional forest was compared to a
nearby primary reference forest (PF) and had differences in the
spectral and textural means evaluated using analysis of variance
(ANOVA). The results showed increases of 35% and 10.4% over time
in basal area and tree height, respectively. Species richness
within the assemblage of sampling units increased from 14 to 71
between 1995 and 2012, and this trend was also confirmed using an
individual-based rarefaction analysis. Species richness in 2012
was still lower than that observed in the PF site, which presented
greater amounts of aboveground biomass (336.4 + 17.0 ton ha(-1)
for PF versus 98.5 + 21.4 ton ha(-1) for SS in 2012). Brightness
and greenness tasselled cap differences between the SS and PF
rapidly decreased from 1984 (SS at the age of 4 years) to 1991
(age of 11 years). Brightness also decreased from 1997 to 2003, as
indicated by PC1 scores and surface reflectance of the TM bands 4
(near infrared) and 5 (shortwave infrared). Spectral mixture shade
fraction increased from young to old successional stages with
strata composition and canopy structure development, whereas NDVI
and EVI decreased over time. Because EVI was strongly dependent on
near infrared reflectance (r = + 0.96), it was also much more
strongly correlated with the shade fraction (r = -0.93) than NDVI.
Except for the image texture mean that decreased from young to old
successional stages in TM bands 4 and 5, no clear trend was
observed in the remaining texturemetrics over the time period of
vegetation regeneration. Overall, due to structural-floristic and
spectral/textural differences with the PF, the SS site was still
distinguishable using Landsat data 30 years after land
abandonment. Most of the spectral metric means between PF and SS
were significantly different over time at 0.01 significance level,
as indicated by ANOVA.",
doi = "10.1080/01431161.2014.999879",
url = "http://dx.doi.org/10.1080/01431161.2014.999879",
issn = "0143-1161",
language = "en",
urlaccessdate = "27 abr. 2024"
}