Water productivity and crop yield: A simplified remote sensing driven operational approach

Campos, I; Neale, CMU; Arkebauer, TJ; Suyker, AE; Gonçalves, IZ

HERO ID

10286730

Reference Type

Journal Article

Year

2018

Language

English

HERO ID 10286730
In Press No
Year 2018
Title Water productivity and crop yield: A simplified remote sensing driven operational approach
Authors Campos, I; Neale, CMU; Arkebauer, TJ; Suyker, AE; Gonçalves, IZ
Journal Agricultural and Forest Meteorology
Volume 249
Page Numbers 501-511
Abstract This paper develops and proposes a simplified operational remote sensing approach to assist crop growth models in reproducing actual processes in the field by relating satellite based remote sensing data and key canopy biophysical parameters. While relationships between spectral vegetation indices (VI) and biomass production have been conducted in the past, we specifically pursue the relationship between crop transpiration and biomass production as described in the FAO-66 Aquacrop manual. The authors point to a possible general relationship between a transpiration coefficient (herein we propose the basal crop coefficient, Kcb, as a proxy) and biomass production. In parallel, many studies have demonstrated the well-established relationship between Kcb and remote sensing based VI. Thus, the relationship between both parameters has a strong basis but must be demonstrated. We analyze the relationship between biomass production and the reflectance based Kcb using field data obtained during 11 years in irrigated and rainfed soybeans and maize in eastern Nebraska. The analysis confirms that the relationship is strong and paves the way for the use of remote sensing data for a quantitative analysis of crop biomass production and yield.
Doi 10.1016/j.agrformet.2017.07.018
Wosid WOS:000424180100041
Is Certified Translation No
Dupe Override No
Is Public Yes
Language Text English
Keyword Evapotranspiration; Transpiration coefficient; Biomass; SAVI; AQUACROP
Is Peer Review Yes