A case for green-based vegetation indices: plot-scale sUAS imagery related to crop chlorophyll content on smallholder maize farms in Malawi. Issue 8 (3rd August 2021)

• Record Type: Journal Article
• Authors: Peter, Brad G.; Messina, Joseph P.; Carroll, Jon W.; Chikowo, Regis
• Is Part Of: Remote sensing letters. Volume 12:Issue 8(2021)
• Page Start: 778
• Page End: 787
• Publication Date: 2021-08-03
• Subjects: Remote sensing -- Periodicals; Remote sensing; Periodicals; 621.3678
• DOI: 10.1080/2150704X.2021.1938733
• Languages: English
• ISSNs: 2150-704X

Abstract

ABSTRACT: Predictable outcomes from precision agriculture (PA) solutions require accurate measurements of crop status and a remote sensing knowledgebase that spans ecoregions. This paper evaluates the relationships between 20 multispectral vegetation indices derived from small unmanned aircraft system (sUAS) image collection and on-farm measurements of crop chlorophyll content at two smallholder experimentation maize farms in Malawi with varied nitrogen fertilizer treatments. Results of this analysis show that prominent green-based multispectral indices, such as the green normalized difference vegetation index (GNDVI), were among the models with the strongest correlations. This study is consistent with other research in this field, contributes to mounting evidence supporting a shift in status quo for greater adoption of green-based indices in PA, and offers data specific to the semi-arid sub-Saharan context.