Publication detail

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

Müllerová, J., Brůna, J., Dvořák, P., Bartaloš, T., Vítková, M.

Original Title

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

Type

conference paper

Language

English

Original Abstract

Invasive plant species represent a serious threat to biodiversity and landscape as well as human health and socio-economy. To successfully fight plant invasions, new methods enabling fast and efficient monitoring, such as remote sensing, are needed. In an ongoing project, optical remote sensing (RS) data of different origin (satellite, aerial and UAV), spectral (panchromatic, multispectral and color), spatial (very high to medium) and temporal resolution, and various technical approaches (object-, pixel-based and combined) are tested to choose the best strategies for monitoring of four invasive plant species (giant hogweed, black locust, tree of heaven and exotic knotweeds). In our study, we address trade-offs between spectral, spatial and temporal resolutions required for balance between the precision of detection and economic feasibility. For the best results, it is necessary to choose best combination of spatial and spectral resolution and phenological stage of the plant in focus. 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. This knowledge serves as a basis for prediction, monitoring and prioritization of management targets.

Keywords

Detection; Invasive species; Mapping; MSS imagery; Object- and pixel-based classification; Spatial and temporal resolution; Spectral

Authors

Müllerová, J., Brůna, J., Dvořák, P., Bartaloš, T., Vítková, M.

Released

2. 9. 2016

Publisher

International Society of Photogrammetry and Remote Sensing (ISPRS), Copernicus

Location

Prague, Czech Republic

ISBN

1682-1750

Periodical

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

Year of study

XLI-B7

Number

ThS15

State

Federal Republic of Germany

Pages from

903

Pages to

908

Pages count

6

URL

http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B7/903/2016/isprs-archives-XLI-B7-903-2016.pdf

BibTex

@inproceedings{BUT130310,
  author="Petr {Dvořák}",
  title="Does the data resolution/origin matter? Satellite, airborne and UAV imagery to tackle plant invasions",
  booktitle="XXIII ISPRS Congress, 12–19 July 2016, Prague, Czech Republic",
  year="2016",
  series="c",
  journal="International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences",
  volume="XLI-B7",
  number="ThS15",
  pages="903--908",
  publisher="International Society of Photogrammetry and Remote Sensing (ISPRS), Copernicus",
  address="Prague, Czech Republic",
  doi="10.5194/isprsarchives-XLI-B7-903-2016",
  issn="1682-1750",
  url="http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B7/903/2016/isprs-archives-XLI-B7-903-2016.pdf"
}