Unmanned Aerial Vehicles for Alient Plant Species Detection and Monitoring

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Unmanned Aerial Vehicles for Alient Plant Species Detection and Monitoring

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Unmanned Aerial Vehicles for Alient Plant Species Detection and Monitoring

Popis výsledku anglicky

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.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

20304 - Aerospace engineering

Projekt

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

Návaznosti

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

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název periodika

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

ISSN

2194-9034

e-ISSN

—

Svazek periodika

XL-1/W4

Číslo periodika v rámci svazku

ICWG I/Vb

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

8

Strana od-do

83-90

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-84974556001