DOES THE DATA RESOLUTION/ORIGIN MATTER? SATELLITE, AIRBORNE AND UAV IMAGERY TO TACKLE PLANT INVASIONS
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 (R...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2016-06-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B7/903/2016/isprs-archives-XLI-B7-903-2016.pdf |
| Summary: | 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-, pixelbased
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. |
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| ISSN: | 1682-1750 2194-9034 |