@Article{GalvãoPetrDala:2024:AnOvAm,
author = "Galv{\~a}o, L{\^e}nio Soares and Petri, Caio Arlanche and
Dalagnol, Ricardo",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {California Institute
of Technology}",
title = "Coupled effects of solar illumination and phenology on vegetation
index determination: an analysis over the Amazonian forests using
the SuperDove satellite constellation",
journal = "GIScience and Remote Sensing",
year = "2024",
volume = "61",
number = "1",
pages = "e2290354",
keywords = "Satellite constellation, SuperDove, vegetation indices, solar
illumination, vegetation phenology, Amazon.",
abstract = "Despite the importance of the Amazonian rainforests in the global
carbon cycle, their phenological responses measured by large
field-of-view satellite sensors are still not completely
understood. In this scenario, close-to-nadir observations at high
spatial and temporal resolutions made by satellite constellations
may contribute to improve this knowledge. Here, we investigated
the sensitivity of five vegetation indices (VIs) to canopy shadows
over 15 protected forests of the Amazon, and the possible
existence of coupled effects of solar illumination and vegetation
phenology on the VI determination. The VIs are the Enhanced
Vegetation Index (EVI), Green-Red Normalized Difference (GRND),
Modified Photochemical Reflectance Index (MPRI), Normalized
Difference Vegetation Index (NDVI), and RedEdge Normalized
Difference (REND). They were calculated from 432 images obtained
in 2022 by the Planet's eight-band SuperDove instrument. Few daily
images acquired on the same day with distinct Solar Zenith Angle
(SZA) were used to disentangle the effects of solar illumination
from those of vegetation phenology. The results showed the
presence of coupled effects of solar illumination and vegetation
phenology on the EVI determination regardless of the site
location, especially over dense forests. Such effects were not
observed significantly in the GRND, MPRI, NDVI, and REND data.
When the vegetation phenology was kept fixed in the analysis,
solar illumination generated pseudo-greening effects from the EVI,
even for small differences in SZA between daily observations. As
the most sensitive VI to illumination conditions, the EVI
increased from the beginning to the end of the dry season tracking
solar angles and shade fractions. This dry-season trend was not
observed for GRND, MPRI, NDVI, and REND, which presented low
correlations with SZA and shade fractions. These four VIs were
correlated with each other over most sites, which explained the
agreement observed between their seasonal profiles. From the
analysis of 15 sites distributed throughout the Amazon, our
findings did not confirm patterns of large-scale greening at the
end of the dry season. Local changes in greening (vegetation
productivity) and browning were captured by the VIs over a few
sites but in different periods of the dry season (June to
September). At the high spatial scale of SuperDove observations,
our results highlight the necessity of correcting solar and, in
some cases, terrain illumination effects on the EVI before
retrieving phenological metrics over the Amazon.",
doi = "10.1080/15481603.2023.2290354",
url = "http://dx.doi.org/10.1080/15481603.2023.2290354",
issn = "1548-1603",
language = "en",
targetfile = "Coupled effects of solar illumination and phenology on vegetation
index determination an analysis over the Amazonian forests using
the SuperDove sate.pdf",
urlaccessdate = "02 maio 2024"
}