Unmanned aircraft in nature conservation: an example from plant invasions

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985939%3A_____%2F17%3A00477518" target="_blank" >RIV/67985939:_____/17:00477518 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1080/01431161.2016.1275059" target="_blank" >http://dx.doi.org/10.1080/01431161.2016.1275059</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1080/01431161.2016.1275059" target="_blank" >10.1080/01431161.2016.1275059</a>

Result language

angličtina

Original language name

Unmanned aircraft in nature conservation: an example from plant invasions

Original language description

We assess its potential to map invasive black locust (BL, Robinia pseudoaccacia), testing imagery of different origin (satellite, UAV), spectral (multispectral, red, green, and blue (RGB) + near-infrared (NIR)) and spatial resolution, and various technical approaches to choose the best strategy for the species monitoring balancing between precision of detection and economic feasibility. Using purposely designed low-cost UAV with tailless fixed wing design for two consumer cameras (RGB and modified NIR) ensures robustness and repeatable field performance while maintaining high aerodynamic efficiency, with resulting mapping capacity over 10 km2 per day. Several challenges exist in UAV application, such as lower spectral resolution, geometrical and radiometric distortions, and significant amount of data (necessity of automatic processing). In our study, we tested different options of UAV data processing and present comparison of resulting orthomosaic accuracies. For repeated measurements, it is extremely important to ensure spatial co-registration of pixels/objects from different phenological phases. Investment in GPS receiver in the UAV and GPS post-processing eliminated laborious collection of ground control points, while maintaining the coregistration of objects across multiple flights. In our study we provide evidence of benefit of the low cost unmanned system for species monitoring with high classification accuracies of target species from UAV orthomosaic outcompeting WorldView-2 satellite data, and describe methodology that can be used for practical management of invasions.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10511 - Environmental sciences (social aspects to be 5.7)

Project

<a href="/en/project/TA04020455" target="_blank" >TA04020455: Detection and monitoring of invasive species using unmanned aircraft</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

International Journal of Remote Sensing

ISBN

—

ISSN

0143-1161

e-ISSN

—

Number of pages

22

Pages from-to

"Roč. 38"

Publisher name

Taylor & Francis LTD.

Place of publication

Oxon

Event location

Worcester

Event date

Jul 28, 2016

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000397995100011