@InProceedings{BergerRossGaso:2017:AsLeAr,
author = "Berger, Andres G and Rossini, Pedro R and Gaso, Deborah Viviana",
title = "Assimilating leaf area index time series into a simple crop growth
model to estimate effective rooting depth and soybean yield",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "3073--3077",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "Soil water holding capacity is the main determinant of soybean
yields in rainfed agriculture in the pampas region. Estimating
water holding capacity is challenging, and the capacity to measure
it over large areas is limited. The main goal of this work is in
advancing in methods to estimate maximum effective root activity
depth (RDMAX) as a proxy for water holding capacity based on
inverse modeling of crop growth, relying on the assumption that it
is the main factor accounting for variations in crop growth. For
that purpose we used a simple model developed by Campbell and Diaz
(1988). The model was inverted to estimate RDMAX, using TOA NDVI
time series (Landsat 7 ETM+ and Landsat 8 OLI) as input while
holding other parameters describing the site and crop fixed (i.e.
planting, emergence and maturity dates, and dry matter water
ratio). The model was also modified to estimate grain yield,
assuming linear increase in harvest index and senescence driven by
nitrogen remobilization from the above ground biomass. The model
was tested at five fields where soybean was grown for six growing
seasons. RDMAX was calibrated obtaining an estimate of RDMAX for
each year and each pixel within a field independently. Comparison
across years and sites suggest that general patterns are estimated
correctly, in particular in normal years (not too wet, not too
dry). The use of a simple model with few parameters to adjust
proved useful in achieving sufficiently reliable and robust
estimates of final RDMAX and grain yield.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59276",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSLRQN",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLRQN",
targetfile = "59276.pdf",
type = "Produ{\c{c}}{\~a}o e previs{\~a}o agr{\'{\i}}cola",
urlaccessdate = "15 jun. 2024"
}