@Article{PrudenteMeJoSoCaMeCa:2021:UsTeRe,
author = "Prudente, Victor Hugo Rohden and Mercante, Erivelto and Johann,
Jerry Adriani and Souza, Carlos Henrique Wachholz de and Cattani,
Carlos Eduardo Vizzotto and Mendes, Isaque Souza and Caon,
Iv{\~a} Luis",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Universidade Estadual do Oeste do Paran{\'a} (UEOPR)} and
{Universidade Estadual do Oeste do Paran{\'a} (UEOPR)} and
{Universidade Federal do Paran{\'a} (UFPR)} and {Universidade
Estadual do Oeste do Paran{\'a} (UEOPR)} and {Universidade
Estadual do Oeste do Paran{\'a} (UEOPR)} and {Universidade
Estadual do Oeste do Paran{\'a} (UEOPR)}",
title = "Use of terrestrial remote sensing to estimate soybeans and beans
biophysical parameters",
journal = "Geocarto International",
year = "2021",
volume = "36",
number = "7",
pages = "773--790",
abstract = "Vegetation Indices are important for agricultural monitoring and
the assessment of biophysical attributes of different crops. In
this context, the objective of this study was to evaluate the
relationships between normalized difference vegetation indices
(NDVIs) obtained by different terrestrial remote sensors (active
and passive), with respect to biophysical aspects of soybeans and
beans. With the NDVI GS (GreenSeeker 505 handheld active sensor),
it was possible to obtain a better leaf area index and height
estimate for both crops, as well chlorophyll index for soybeans.
The NDVI FS (FieldSpec4 model Standard-Res passive sensor) is
highlight in being able to estimate values for intercepted
photosynthetically active radiation, mainly for soybeans. By using
NDVIs with active and passive terrestrial remote sensors, it was
possible to create models to estimate the biophysical parameters
for soybeans and beans.",
doi = "10.1080/10106049.2019.1624982",
url = "http://dx.doi.org/10.1080/10106049.2019.1624982",
issn = "1010-6049",
language = "en",
targetfile = "prudente_use.pdf",
urlaccessdate = "03 jun. 2024"
}