Remote sensing-based crop biomass with water or light-driven crop growth models in wheat commercial fields

Isidro Campos, Laura González-Gómez, Julio Villodre, Jose González-Piqueras, Andrew E. Suyker, Alfonso Calera

Research output: Contribution to journalArticlepeer-review

Abstract

This paper explores the ability of Remote Sensing data from space platforms combined with available meteorological parameters to monitor crop biomass accumulation at satellite scale in a direct, operational way, exploiting the temporal information from time series of multispectral images. We describe a methodology to estimate biomass growth by integrating VI-based biophysical parameter and meteorological input along the growing cycle into the physiologically-based crop growth models, employing water or light use efficiency.

Original languageEnglish (US)
Pages (from-to)175-188
Number of pages14
JournalField Crops Research
Volume216
DOIs
StatePublished - Feb 2018

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Soil Science

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