Leaf water potential of coffee estimated by landsat-8 images

PLoS One. 2020 Mar 18;15(3):e0230013. doi: 10.1371/journal.pone.0230013. eCollection 2020.

Abstract

Traditionally, water conditions of coffee areas are monitored by measuring the leaf water potential (ΨW) throughout a pressure pump. However, there is a demand for the development of technologies that can estimate large areas or regions. In this context, the objective of this study was to estimate the ΨW by surface reflectance values and vegetation indices obtained from the Landsat-8/OLI sensor in Minas Gerais-Brazil Several algorithms using OLI bands and vegetation indexes were evaluated and from the correlation analysis, a quadratic algorithm that uses the Normalized Difference Vegetation Index (NDVI) performed better, with a correlation coefficient (R2) of 0.82. Leave-One-Out Cross-Validation (LOOCV) was performed to validate the models and the best results were for NDVI quadratic algorithm, presenting a Mean Absolute Percentage Error (MAPE) of 27.09% and an R2 of 0.85. Subsequently, the NDVI quadratic algorithm was applied to Landsat-8 images, aiming to spatialize the ΨW estimated in a representative area of regional coffee planting between September 2014 to July 2015. From the proposed algorithm, it was possible to estimate ΨW from Landsat-8/OLI imagery, contributing to drought monitoring in the coffee area leading to cost reduction to the producers.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Coffea / chemistry*
  • Droughts
  • Environmental Monitoring / methods*
  • Hydrogen-Ion Concentration
  • Plant Leaves / chemistry*
  • Rain
  • Remote Sensing Technology
  • Satellite Imagery*
  • Water / analysis*

Substances

  • Water

Grant support

This work was supported by Consórcio Pesquisa Café #793.702/2013 under subprojects 02.13.02.050.00.00 (M.M.L.V), 02.13.02.049.00.03 and 02.13.02.050.00.02 (V.A.S), and 02.13.02.050.00.03 (H.M.R.A). V.A.S thanks Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG) [BIP-00200-18/FAPEMIG]. D.A.M Ph.D. fellowship was supported by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) [001]. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.