Use of terrestrial remote sensing to estimate soybeans and beans biophysical parameters

Abstract

Vegetation Indices are important for agricultural monitoring and the assessment of biophysical attributes of different crops. In this context, the objective of this study was to evaluate the relationships between normalized difference vegetation indices (NDVIs) obtained by different terrestrial remote sensors (active and passive), with respect to biophysical aspects of soybeans and beans. With the NDVI GS (GreenSeeker 505 handheld active sensor), it was possible to obtain a better leaf area index and height estimate for both crops, as well chlorophyll index for soybeans. The NDVI FS (FieldSpec4 model Standard-Res passive sensor) is highlight in being able to estimate values for intercepted photosynthetically active radiation, mainly for soybeans. By using NDVIs with active and passive terrestrial remote sensors, it was possible to create models to estimate the biophysical parameters for soybeans and beans.

Keywords:

• Leaf area index
• chlorophyll
• iPAR
• NDVI
• proximal sensing
• crops

Acknowledgements

We thank the Agroindustrial Cooperative of Cascavel (COOPAVEL) and Plantar Agrícola for making the monitored areas available for study.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001 and the National Council for Scientific and Technological Development (CNPq). We thank the Agroindustrial Cooperative of Cascavel (COOPAVEL) and Plantar Agrícola for making the monitored areas available for study.