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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F16%3A10336662" target="_blank" >RIV/00216208:11310/16:10336662 - isvavai.cz</a>

Alternative codes found

RIV/00216305:26210/16:PU121307

Result on the web

<a href="http://dx.doi.org/10.5194/isprsarchives-XLI-B7-903-2016" target="_blank" >http://dx.doi.org/10.5194/isprsarchives-XLI-B7-903-2016</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5194/isprsarchives-XLI-B7-903-2016" target="_blank" >10.5194/isprsarchives-XLI-B7-903-2016</a>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

EH - Ecology - communities

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2016

Confidentiality

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

Article name in the collection

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

ISBN

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ISSN

1682-1750

e-ISSN

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Number of pages

6

Pages from-to

903-908

Publisher name

International Society for Photogrammetry and Remote Sensing

Place of publication

Praha

Event location

Praha

Event date

Jul 12, 2016

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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