TY - JOUR
T1 - Evapotranspiration mapping of commercial corn fields in brazil using safer algorithm
AU - Venancio, Luan Peroni
AU - Mantovani, Everardo Chartuni
AU - Do Amaral, Cibele Hummel
AU - Neale, Christopher Michael Usher
AU - Filgueiras, Roberto
AU - Gonçalves, Ivo Zution
AU - da Cunha, Fernando França
N1 - Funding Information:
This study was partially financed (PhD scholarship) by the Coordination for the Improvement of Higher Level Personnel (CAPES) - Finance Code 001 and by the Brazilian National Council for Scientific and Technological Development (CNPq). Thanks to the Water for Food Global Institute at the University of Nebraska (UNL), where the first author conducted part of his doctoral research. The authors are also grateful to the company IRRIGER – Irrigation Management and Engineering for making available the field data.
Funding Information:
This study was partially financed (PhD scholarship) by the Coordination for the Improvement of Higher Level Personnel (CAPES) - Finance Code 001 and by the Brazilian National Council for Scientific and Technological Development (CNPq). Thanks to the Water for Food Global Institute at the University of Nebraska (UNL), where the first author conducted part of his doctoral research. The authors are also grateful to the company IRRIGER ? Irrigation Management and Engineering for making available the field data.
Publisher Copyright:
© 2020, Scientia Agricola. All rights reserved.
PY - 2020
Y1 - 2020
N2 - SAFER (Simple Algorithm for Evapotranspiration Retrieving) is a relatively new algorithm applied successfully to estimate actual crop evapotranspiration (ET) at different spatial scales of different crops in Brazil. However, its use for monitoring irrigated crops is scarce and needs further investigation. This study assessed the performance of SAFER to estimate ET of irrigated corn in a Brazilian semiarid region. The study was conducted in São Desidério, Bahia State, Brazil, in corn-cropped areas in no-tillage systems and irrigated by central pivots. SAFER algorithm with original regression coefficients (a = 1.8 and b = –0.008) was initially tested during the growing seasons of 2014, 2015, and 2016. SAFER performed very poorly for estimating corn ET, with RMSD values greater than 1.18 mm d–1 for 12 fields analyzed and NSE values < 0 in most fields. To improve estimates, SAFER regression coefficients were calibrated (using 2014 and 2015 data) and validated with 2016 data, with the resulting coefficients a and b equal to 0.32 and –0.0013, respectively. SAFER performed well for ET estimation after calibration, with r2 and NSE values equal to 0.91 and RMSD = 0.469 mm d–1. SAFER also showed good performance (r2 = 0.86) after validation, with the lowest RMSD (0.58 mm d–1) values for the set of 14 center pivots in this growing season. The results support the use of calibrated SAFER algorithm as a tool for estimating water consumption in irrigated corn fields in semiarid conditions.
AB - SAFER (Simple Algorithm for Evapotranspiration Retrieving) is a relatively new algorithm applied successfully to estimate actual crop evapotranspiration (ET) at different spatial scales of different crops in Brazil. However, its use for monitoring irrigated crops is scarce and needs further investigation. This study assessed the performance of SAFER to estimate ET of irrigated corn in a Brazilian semiarid region. The study was conducted in São Desidério, Bahia State, Brazil, in corn-cropped areas in no-tillage systems and irrigated by central pivots. SAFER algorithm with original regression coefficients (a = 1.8 and b = –0.008) was initially tested during the growing seasons of 2014, 2015, and 2016. SAFER performed very poorly for estimating corn ET, with RMSD values greater than 1.18 mm d–1 for 12 fields analyzed and NSE values < 0 in most fields. To improve estimates, SAFER regression coefficients were calibrated (using 2014 and 2015 data) and validated with 2016 data, with the resulting coefficients a and b equal to 0.32 and –0.0013, respectively. SAFER performed well for ET estimation after calibration, with r2 and NSE values equal to 0.91 and RMSD = 0.469 mm d–1. SAFER also showed good performance (r2 = 0.86) after validation, with the lowest RMSD (0.58 mm d–1) values for the set of 14 center pivots in this growing season. The results support the use of calibrated SAFER algorithm as a tool for estimating water consumption in irrigated corn fields in semiarid conditions.
KW - Landsat
KW - Maize
KW - Remote sensing
KW - Water consumption
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UR - http://www.scopus.com/inward/citedby.url?scp=85087783267&partnerID=8YFLogxK
U2 - 10.1590/1678-992x-2019-0261
DO - 10.1590/1678-992x-2019-0261
M3 - Article
AN - SCOPUS:85087783267
SN - 0103-9016
VL - 78
SP - 1
EP - 12
JO - Scientia Agricola
JF - Scientia Agricola
IS - 4
M1 - e20190261
ER -