Mapping nectar-rich pollinator floral resources using airborne multispectral imagery-Reference-Cited by-同舟云学术

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Mapping nectar-rich pollinator floral resources using airborne multispectral imagery

Published:2022-07 Issue: Volume:313 Page:114942
ISSN:0301-4797
Container-title:Journal of Environmental Management
language:en
Short-container-title:Journal of Environmental Management

Author:

Barnsley S.L.^ORCID,Lovett A.A.,Dicks L.V.

Funder

NERC

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Waste Management and Disposal,General Medicine,Environmental Engineering

Reference99 articles.

1. The Utility of AISA Eagle Hyperspectral Data and Random Forest Classifier for Flower Mapping;Abdel-Rahman,2015

2. Multispectral Airborne Imagery and Associated Classifications, Training Data and Validation Data, for Mapping Nectar-Rich Floral Resources for Pollinators, Northamptonshire, UK 2020;Barnsley,2021

3. Nectar Sugar Values of Common British Plant Species [AgriLand];Baude,2015

4. Flower Density Values of Common British Plant Species [AgriLand];Baude,2015

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1. Farmland quality assessment using deep learning and UAVs;Remote Sensing Applications: Society and Environment;2024-08

2. Quantifying the production of plant pollen at the farm scale;New Phytologist;2024-04-15

3. Detecting Floral Resource Availability Using Small Unmanned Aircraft Systems;Land;2024-01-16

4. Pollinator competition and the structure of floral resources;Ecography;2023-07-10

5. Tree-dimensional resources: hedgerow and orchard pollen for bumble bees;Comptes Rendus. Chimie;2023-06-08

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