Mapping pollination types with remote sensing-Reference-Cited by-同舟云学术

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Mapping pollination types with remote sensing

Published:2016-06-13 Issue:5 Volume:27 Page:999-1011
ISSN:1100-9233
Container-title:Journal of Vegetation Science
language:en
Short-container-title:J Veg Sci

Author:

Feilhauer Hannes¹,Doktor Daniel²,Schmidtlein Sebastian³,Skidmore Andrew K.⁴

Affiliation:

1. Institute of Geography; Friedrich-Alexander Universität Erlangen-Nürnberg (FAU); Wetterkreuz 15 91058 Erlangen Germany

2. Helmholtz Centre for Environmental Research (UFZ); Permoserstr. 15 04318 Leipzig Germany

3. Institute of Geography and Geoecology; Karlsruhe Institute of Technology (KIT); Kaiserstr. 12 76131 Karlsruhe Germany

4. ITC; University of Twente; PO Box 217 7500 AE Enschede The Netherlands

Funder

Deutsche Forschungsgemeinschaft

Deutsches Zentrum für Luft- und Raumfahrt

Bundesministerium für Wirtschaft und Technologie

Publisher

Wiley

Subject

Plant Science,Ecology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/jvs.12421/fullpdf

Reference71 articles.

1. Flower colours along an alpine altitude gradient, seen through the eyes of fly and bee pollinators;Arnold;Anthropod-Plant Interactions,2009

2. Biophysical and biochemical sources of variability in canopy reflectance;Asner;Remote Sensing of Environment,1998

3. Hyperspectral analysis of mangrove foliar chemistry using PLSR and support vector regression;Axelsson;International Journal of Remote Sensing,2013

4. Self-compatibility and establishment after ‘long-distance’ dispersal;Baker;Evolution,1955

5. The future of plant-pollinator diversity: understanding interaction networks across time, space, and global change;Burkle;American Journal of Botany,2011

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1. Grassland vertical height heterogeneity predicts flower and bee diversity: an UAV photogrammetric approach;Scientific Reports;2024-01-08

2. UAV-Based Hyperspectral Ultraviolet-Visible Interpolated Reflectance Images for Remote Sensing of Leaf Area Index;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

3. Mapping the relative abundance of soil microbiome biodiversity from eDNA and remote sensing;Science of Remote Sensing;2022-12

4. Mapping nectar-rich pollinator floral resources using airborne multispectral imagery;Journal of Environmental Management;2022-07

5. Geobotany Revisited – A Glimpse at the Blooming and Influential Discipline With Its Strong Roots in the Beauty of Nature and the Pragmatic Need of Its Protection;Acta Societatis Botanicorum Poloniae;2022-05-31

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