Remote sensing as a tool for monitoring plant invasions: testing the effects of data resolution and image classification approach on the detection of a model plant species Heracleum mantegazzianum (giant hogweed)

Müllerová, Jana; Pergl, Jan; Pyšek, Petr

doi:https://dx.doi.org/10.1016/j.jag.2013.03.004

Number of the records: 1

Remote sensing as a tool for monitoring plant invasions: testing the effects of data resolution and image classification approach on the detection of a model plant species Heracleum mantegazzianum (giant hogweed)

1.

SYSNO ASEP	0397795
Document Type	J - Journal Article
R&D Document Type	Journal Article
Subsidiary J	Článek ve WOS
Title	Remote sensing as a tool for monitoring plant invasions: testing the effects of data resolution and image classification approach on the detection of a model plant species Heracleum mantegazzianum (giant hogweed)
Author(s)	Müllerová, Jana (BU-J)_{RID, ORCID} Pergl, Jan (BU-J)_{RID, ORCID} Pyšek, Petr (BU-J)_{RID, ORCID}
Number of authors	3
Source Title	International Journal of Applied Earth Observation and Geoinformation. - : Elsevier - ISSN 0303-2434 Roč. 25, Dec.2013 (2013), s. 55-65
Number of pages	11 s.
Language	eng - English
Country	NL - Netherlands
Keywords	historical aerial VHR photography ; invasion progress ; object and pixel-based image classification
Subject RIV	EF - Botanics
R&D Projects	IAA600050811 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR)
Institutional support	BU-J - RVO:67985939
UT WOS	000322099700007
DOI	10.1016/j.jag.2013.03.004
Annotation	Remote sensing assessment of a noxious invasive species Heracleum mantegazzianum integrating different data sources, spatial and spectral resolutions, and image processing techniques. Panchromatic, multispectral and color very high spatial resolution aerial photography (1947 to 2006, res. 0.5 m), and medium spatial resolution satellite data (Rapid Eye 2010, res. 5 m) were analyzed to assess their potential for hogweed monitoring by using pixel- and object-based image analysis. We established automatic, relatively fast, and efficient (time-effective and standardized) computer-assisted methods for monitoring invasions and their long-term dynamics that could be applied over large areas. The methodology presented here is suitable for mapping the progress of invasion, identifying areas at the highest invasion risk, and enabling early detection at the beginning of invasion, hence it can make management measures more efficient and less expensive.
Workplace	Institute of Botany
Contact	Martina Bartošová, martina.bartosova@ibot.cas.cz, ibot@ibot.cas.cz, Tel.: 271 015 242 ; Marie Jakšová, marie.jaksova@ibot.cas.cz, Tel.: 384 721 156-8
Year of Publishing	2014

Number of the records: 1