Does the data resolution/origin matter? Satellite, airborne and UAV imagery to tackle plant invasions

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985939%3A_____%2F16%3A00464445" target="_blank" >RIV/67985939:_____/16:00464445 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Does the data resolution/origin matter? Satellite, airborne and UAV imagery to tackle plant invasions

Popis výsledku v původním jazyce

For species forming distinct inflorescences such as giant hogweed iterative semi-automated object-oriented approach was successfully applied even for low spectral resolution data (if pixel size was sufficient) whereas for lower spatial resolution satellite imagery or less distinct species with complicated architecture such as knotweed, combination of pixel and object based approaches was used. High accuracies achieved for very high resolution data indicate the possible application of described methodology for monitoring invasions and their long-term dynamics elsewhere, making management measures comparably precise, fast and efficient.

Název v anglickém jazyce

Does the data resolution/origin matter? Satellite, airborne and UAV imagery to tackle plant invasions

Popis výsledku anglicky

For species forming distinct inflorescences such as giant hogweed iterative semi-automated object-oriented approach was successfully applied even for low spectral resolution data (if pixel size was sufficient) whereas for lower spatial resolution satellite imagery or less distinct species with complicated architecture such as knotweed, combination of pixel and object based approaches was used. High accuracies achieved for very high resolution data indicate the possible application of described methodology for monitoring invasions and their long-term dynamics elsewhere, making management measures comparably precise, fast and efficient.

Druh

O - Ostatní výsledky

CEP obor

EH - Ekologie – společenstva

OECD FORD obor

—

Projekt

<a href="/cs/project/TA04020455" target="_blank" >TA04020455: Detekce a monitoring invazních druhů s využitím bezpilotních leteckých prostředků</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2016

Kód důvěrnosti údajů

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