VEGETATION INDICES FOR IRRIGATED CORN MONITORING

Alvino, Francisco C. G.; Aleman, Catariny C.; Filgueiras, Roberto; Althoff, Daniel; da Cunha, Fernando F.

doi:10.1590/1809-4430-Eng.Agric.v40n3p322-333/2020

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Scientific Paper, Soil and Water Engineering • Eng. agríc. (Online) 40 (3) • May-Jun 2020 • https://doi.org/10.1590/1809-4430-Eng.Agric.v40n3p322-333/2020 copy

VEGETATION INDICES FOR IRRIGATED CORN MONITORING

Authorship SCIMAGO INSTITUTIONS RANKINGS

ABSTRACT

Monitoring of large agricultural lands is often hampered by data collection logistics at field level. To solve such a problem, remote sensing techniques have been used to estimate vegetation indices, which can subsidize crop management decision-making. Therefore, this study aimed to select vegetation indices to detect variability in irrigated corn crops. Data were collected in São Desidério, Bahia State (Brazil), using an OLI sensor (Operational Land Imager) embedded to a Landsat-8 satellite platform. Five corn growing plots under central pivot irrigation were assessed. The following vegetation indices were tested: NDVI (Normalized Difference Vegetation Index), EVI (Enhanced Vegetation Index), SAVI (Soil Adjusted Vegetation Index), GNDVI (Green Normalized Difference Vegetation Index), SR (Simple Ratio), NDWI (Normalized Difference Water Index), and MSI (Moisture Stress Index). Among the tested indices, SR was more sensitive to high corn biomass, while GNDVI, NDVI, EVI, and SAVI were more sensitive to low values. Overall, all indices were found to be concordant with each other, with high correlations among them. Despite this, the use of a set of these indices is advisable since some respond better to certain peculiarities than others.

KEYWORDS
vegetation cover; decision-making; remote sensing

Pivot	Sowing date	Harvest date	Cumulative irrigation depth (mm)	Cycle duration (days)
12A	09/05/2015	24/09/2015	710,8	139
13A	12/05/2015	24/09/2015	708,4	136
14A	13/05/2015	24/09/2015	750,7	135
15A	15/05/2015	24/09/2015	678,9	133
16A	16/05/2015	24/09/2015	737,0	132

Index	Author	Equation n°
$NDVI = \frac{ρNIR - ρRED}{ρNIR + ρRED}$	(Rouse JR et al., 1974Rouse JR W, Haas RH, Schell JA, Deering DW (1974) Monitoring vegetation systems in the Great Plains with ERTS.)	(3)
$EVI = G \times \frac{ρNIR - ρRED}{ρNIR + C 1 \times ρRED - C 2 \times ρ Blue + L} (1 + L)$	(Liu & Huete, 1995Liu HQ, Huete A (1995) A feedback based modification of the NDVI to minimize canopy background and atmospheric noise. IEEE Transactions on Geoscience and Remote Sensing 33(2):457-465. DOI: https://doi.org/10.1109/TGRS.1995.8746027 https://doi.org/10.1109/TGRS.1995.874602... )	(4)
$SAVI = \frac{(ρ NIR - ρ Red) (1 + L)}{ρ NIR + ρ Red + L}$	(Huete, 1988Huete AR (1988) A soil-adjusted vegetation index (SAVI). Remote sensing of environment 25(3):295-309. DOI: https://doi.org/10.1016/0034-4257(88)90106-X https://doi.org/10.1016/0034-4257(88)901... )	(5)
$GNDVI = \frac{ρ N I R - ρ V E R D E}{ρ N I R + ρ V E R D E}$	(Gitelson et al., 1996Gitelson AA, Kaufman YJ, Merzlyak MN (1996) Use of a green channel in remote sensing of global vegetation from EOS-MODIS. Remote sensing of Environment 58(3):289-298. DOI: https://doi.org/10.1016/S0034-4257(96)00072-7 https://doi.org/10.1016/S0034-4257(96)00... )	(6)
$SR = \frac{ρNIR}{ρRED}$	(Birth & Mcvey, 1968Birth GS, Mcvey GR (1968) Measuring the color of growing turf with a reflectance spectrophotometer. Agronomy Journal 60(6):640-643. DOI: https://doi.org/10.2134/agronj1968.00021962006000060016x https://doi.org/10.2134/agronj1968.00021... )	(7)
$MSI = \frac{ρSWIR 1}{ρ N I R}$	(Hunt JR & Rock, 1989Hunt JR ER, Rock BN (1989) Detection of changes in leaf water content using near-and middle-infrared reflectances. Remote Sensing of Environment 30(1):43-54. DOI: https://doi.org/10.1016/0034-4257(89)90046-1 https://doi.org/10.1016/0034-4257(89)900... )	(8)
$NDWI = \frac{ρNIR - ρ SWIR 1}{ρNIR + ρ SWIR 1}$	(Gao, 1996Gao B (1996) NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sensing of Environment 58(3):257-266. DOI: https://doi.org/10.1016/S0034-4257(96)00067-3 https://doi.org/10.1016/S0034-4257(96)00... )	(9)

Associação Brasileira de Engenharia Agrícola SBEA - Associação Brasileira de Engenharia Agrícola, Departamento de Engenharia e Ciências Exatas FCAV/UNESP, Prof. Paulo Donato Castellane, km 5, 14884.900 | Jaboticabal - SP, Tel./Fax: +55 16 3209 7619 - Jaboticabal - SP - Brazil
E-mail: revistasbea@sbea.org.br

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[1] *Corresponding author. Universidade Federal de Viçosa/ Viçosa - MG, Brasil. E-mail: cassioalvino2@gmail.com