UAV for mapping shrubland vegetation: Does fusion of spectral and vertical information derived from a single sensor increase the classification accuracy?-Reference-Cited by-同舟云学术

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UAV for mapping shrubland vegetation: Does fusion of spectral and vertical information derived from a single sensor increase the classification accuracy?

Published:2019-03 Issue: Volume:75 Page:151-162
ISSN:0303-2434
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Prošek Jiří,Šímová Petra

Funder

Internal Grant Agency of the Faculty of Environmental Sciences, Czech University of Life Sciences Prague

Grant Agency of the Czech University of Life Sciences Prague

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference44 articles.

1. Agisoft PhotoScan User Manual, Version 1.3;Agisoft,2017

2. Hierarchical land cover and vegetation classification using multispectral data acquired from an unmanned aerial vehicle;Ahmed;Int. J. Remote Sens.,2017

3. Urban tree species mapping using hyperspectral and lidar data fusion;Alonzo;Remote Sens. Environ.,2014

4. Lightweight unmanned aerial vehicles will revolutionize spatial ecology Lightweight unmanned aerial vehic revolutionize spatial ecology;Anderson;Front. Ecol. Environ.,2013

5. Modeling plant invasion on Mediterranean coastal landscapes: an integrative approach using remotely sensed data;Bazzichetto;Landsc. Urban Plan.,2018

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