@Article{WatanabeAlcCurKamSte:2018:LaReSe,
author = "Watanabe, Fernanda and Alc{\^a}ntara, Enner and Curtarelli,
Marcelo and Kampel, Milton and Stech, Jos{\'e} Luiz",
affiliation = "{Universidade Estadual Paulista (UNESP)} and {Universidade
Estadual Paulista (UNESP)} and {Universidade federal de Santa
Catarina (UFSC)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Landsat-based remote sensing of the colored dissolved organic
matter absorption coefficient in a tropical oligotrophic
reservoir",
journal = "Remote Sensing Applications: Society and Environment",
year = "2018",
volume = "9",
pages = "82--90",
month = "Jan.",
keywords = "Remote sensing, Inland water, Water quality, Bio-optical
properties.",
abstract = "Colored dissolved organic matter (CDOM) is a photoactive fraction
of organic carbon that can be detected via remotely sensed data
(proximal and satellite). The retrieval of the absorption
coefficient of CDOM (aCDOM) in reservoirs is important because it
is related to the carbon budget and is a possible source of
greenhouse gas that is emitted from aquatic ecosystems. In this
context, we divided this study into three steps: (1) evaluating
four retrieval algorithms for aquatic CDOM proposed for different
types of waters; (2) recalibrating the algorithms using field
data; and (3) adjusting new algorithms based on Landsat 5 TM
bands. This research aimed to evaluate the use of Landsat 5 TM
images for retrieving aCDOM in oligotrophic inland waters. The
best performing model in the literature exhibited a normalized
root mean square error (NRMSE) value of 29.5% and a mean absolute
percentage error (MAPE) value of 25.4%, showing that some models
proposed for marine water may be applied to specific inland
waters. After recalibration, the best result was NRMSE = 29.9% and
MAPE = 24.8%. The Landsat 5 TM bands yielded accurate results
(NRMSE = 26.2% and MAPE = 33.6%), which indicated the potential
for using Landsat data to monitor the bio-optical properties in
inland waters.",
doi = "10.1016/j.rsase.2017.12.004",
url = "http://dx.doi.org/10.1016/j.rsase.2017.12.004",
issn = "2352-9385",
language = "en",
targetfile = "watanabe_landsat.pdf",
urlaccessdate = "27 abr. 2024"
}