Using NDVI Time-series Profiles for Monitoring Corn Plant Phenology of Irrigated Areas in Southern Brazil

Authors

  • Cassiane J. M. Victoria Bariani Agriculture Engineering Department, Federal University of Santa Maria, Av. Roraima, Nº1000, Cidade Universitária - Bairro Camobi 97105-900, Santa Maria - RS. Brazil
  • Nelson M. Victoria Bariani Federal University of Pampa - Bairro Promorar 97650-000, Itaqui - RS. Brazil
  • M. T. Petry Agriculture Engineering Department, Federal University of Santa Maria, Av. Roraima, Nº1000, Cidade Universitária - Bairro Camobi 97105-900, Santa Maria - RS. Brazil
  • R. Carlesso Agriculture Engineering Department, Federal University of Santa Maria, Av. Roraima, Nº1000, Cidade Universitária - Bairro Camobi 97105-900, Santa Maria - RS. Brazil
  • D. Silveira Kersten Agriculture Engineering Department, Federal University of Santa Maria, Av. Roraima, Nº1000, Cidade Universitária - Bairro Camobi 97105-900, Santa Maria - RS. Brazil
  • L. Basso Agriculture Engineering Department, Federal University of Santa Maria, Av. Roraima, Nº1000, Cidade Universitária - Bairro Camobi 97105-900, Santa Maria - RS. Brazil
  • J. R. Henkes Agriculture Engineering Department, Federal University of Santa Maria, Av. Roraima, Nº1000, Cidade Universitária - Bairro Camobi 97105-900, Santa Maria - RS. Brazil

DOI:

https://doi.org/10.31285/AGRO.19.291

Keywords:

SPRING, LANDSAT5, southern Brazil, center pivots

Abstract

Among the factors that contribute the most for increasing maize cultivated area and grain yield in Southern Brazil are the crop genetic selection, soil, crop and water management and recent advances in crop remote monitoring techniques. The Normalized Difference Vegetation Index (NDVI) obtained with remote sensing techniques may be used to provide historical and real-time evaluation characteristics of a particular crop, such as density and vigor without neither field visits, nor interfering directly or indirectly in crop growth and development. This procedure may substantially reduce monitoring or control costs. In this paper, a temporal profile series of NDVI was generated during the maize crop growth period with the objective of evaluating the crop phenology of seven irrigated areas under center pivots. Eight images from LANDSAT5/TM satellite, of the 222/80 and 223/80 path/row were used. The quantitative intervals of NDVI mean values were evaluated from the temporal profile series based on the crop sowing and harvest dates. The NDVI values varied from: 0.18-0.53for initial crop stage; 0.54-0.80for rapid crop growth; 0.20-0.74 for mid-season; and 0.28-0.41for late season. The use of NDVI allows a good differentiation among the maize crop stages of irrigated areas. There has been a drop in NDVI values in the R1 stage, at 54 days after sowing (DAS), due to detasseling. Maximum NDVI value (0.80) was observed at 63DAS, with maize phenology between R2-R5 stages. NDVI values decreased from R6 growth stage till harvest (134 DAS) due to crop maturity and senescence. During this period the average NDVI value was 0.40.

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Published

2015-12-15

How to Cite

1.
Victoria Bariani CJM, Victoria Bariani NM, Petry MT, Carlesso R, Silveira Kersten D, Basso L, et al. Using NDVI Time-series Profiles for Monitoring Corn Plant Phenology of Irrigated Areas in Southern Brazil. Agrocienc Urug [Internet]. 2015 Dec. 15 [cited 2024 Apr. 24];19(3):79. Available from: https://agrocienciauruguay.uy/index.php/agrociencia/article/view/291

Issue

Section

Teledetection and Crop
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