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Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

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Mapping nectar-rich pollinator floral resources using airborne multispectral imagery.

S L Barnsley¹, A A Lovett², L V Dicks³

¹School of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich, Norfolk, NR4 7TJ, UK.

Journal of Environmental Management

|April 14, 2022

Summary

High-resolution remote sensing effectively maps wild pollinator resources in agricultural areas. This technology aids targeted habitat management by identifying floral gaps, crucial for boosting pollinator populations.

Keywords:

Agri-environment Mapping Maximum likelihood Pollinator Sub-meter

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Area of Science:

Ecology
Remote Sensing
Conservation Biology

Background:

Wild pollinator populations are linked to flower-rich habitats.
Agricultural systems often lack sufficient floral resources for pollinators.
Understanding resource availability is key for effective habitat management.

Purpose of the Study:

To assess the potential of very high-resolution remote sensing for mapping pollinator foraging resources.
To identify temporal and spatial gaps in floral resources within agricultural landscapes.
To develop a remote sensing approach for monitoring pollinator conservation.

Main Methods:

Used multispectral airborne imagery (3cm and 7cm resolution) in a UK agricultural landscape.
Classified five key nectar-rich flowering plant species using a maximum likelihood algorithm.
Acquired imagery in March, May, and July to capture seasonal variations.

Main Results:

Achieved overall classification accuracies above 90% for all months and resolutions.
Demonstrated that higher spatial resolution does not always guarantee higher accuracy.
Identified a prototype approach for mapping pollinator resources in agricultural settings.

Conclusions:

Very high-resolution remote sensing is a viable tool for mapping pollinator foraging resources.
The developed method provides a foundation for a remote sensing pipeline to monitor nectar-rich plant availability.
Further research is needed to distinguish co-flowering species and quantify floral density for nectar supply calculations.