Volta

Assessing the performance of different OBIA software approaches for mapping invasive alien plants along roads with remote sensing data

Unknown authors · 2020
hash_id: e4c8fdbd677a667ec60298e12662f96be630396f90bb152e00b81406961aa022 · DOI: 10.1016/j.jag.2020.102263

Roads and roadsides provide dispersal channels for non-native invasive alien plants (IAP), many of which hold devastating impacts in the economy, human health, biodiversity and ecosystem functionality. Remote sensing is an essential tool for efficiently assessing and monitoring the dynamics of IAP along roads. In this study, we explore the potentialities of object based image analysis (OBIA) approach to map several invasive plant species along roads using very high spatial resolution imagery. We compared the performance of OBIA approaches implemented in one open source software (OTB/Monteverdi) against those available in two proprietary programs (eCognition and ArcGIS). We analysed the images by two sequential processes. First, we obtained a land-cover map for 15 study sites by segmenting the images with the …

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Cited by (2)

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