Unmanned Aerial Vehicles for Alient Plant Species Detection and Monitoring

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F15%3APU115740" target="_blank" >RIV/00216305:26210/15:PU115740 - isvavai.cz</a>

Result on the web

<a href="http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W4/83/2015/isprsarchives-XL-1-W4-83-2015.pdf" target="_blank" >http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W4/83/2015/isprsarchives-XL-1-W4-83-2015.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5194/isprsarchives-XL-1-W4-83-2015" target="_blank" >10.5194/isprsarchives-XL-1-W4-83-2015</a>

Result language

angličtina

Original language name

Unmanned Aerial Vehicles for Alient Plant Species Detection and Monitoring

Original language description

Invasive species spread rapidly and their eradication is difficult. New methods enabling fast and efficient monitoring are urgently needed for their successful control. Remote sensing can improve early detection of invading plants and make their management more efficient and less expensive. In an ongoing project in the Czech Republic, we aim at developing innovative methods of mapping invasive plant species (semi-automatic detection algorithms) by using purposely designed unmanned aircraft (UAV). We examine possibilities for detection of two tree and two herb invasive species. Our aim is to establish fast, repeatable and efficient computer-assisted method of timely monitoring, reducing the costs of extensive field campaigns. For finding the best detection algorithm we test various classification approaches (object-, pixel-based and hybrid). Thanks to its flexibility and low cost, UAV enables assessing the effect of phenological stage and spatial resolution, and is most suitable for monitoring the efficiency of eradication efforts. However, several challenges exist in UAV application, such as geometrical and radiometric distortions, high amount of data to be processed and legal constrains for the UAV flight missions over urban areas (often highly invaded). The newly proposed UAV approach shall serve invasive species researchers, management practitioners and policy makers.

Czech name

—

Czech description

—

Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

—

OECD FORD branch

20304 - Aerospace engineering

Project

<a href="/en/project/LO1202" target="_blank" >LO1202: NETME CENTRE PLUS</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2015

Confidentiality

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

Name of the periodical

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

ISSN

2194-9034

e-ISSN

—

Volume of the periodical

XL-1/W4

Issue of the periodical within the volume

ICWG I/Vb

Country of publishing house

DE - GERMANY

Number of pages

8

Pages from-to

83-90

UT code for WoS article

—

EID of the result in the Scopus database

2-s2.0-84974556001