2011
DOI: 10.3390/rs3102283
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Feasibility of Invasive Grass Detection in a Desertscrub Community Using Hyperspectral Field Measurements and Landsat TM Imagery

Abstract: Abstract:Invasive species' phenologies often contrast with those of native species, representing opportunities for detection of invasive species with multi-temporal remote sensing. Detection is especially critical for ecosystem-transforming species that facilitate changes in disturbance regimes. The African C 4 grass, Pennisetum ciliare, is transforming ecosystems on three continents and a number of neotropical islands by introducing a grass-fire cycle. However, previous attempts at discriminating P. ciliare i… Show more

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Cited by 31 publications
(22 citation statements)
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“…A wide range of sensor systems, including aerial photographs, airborne and satellite multispectral and hyperspectral images have been successfully utilized for mapping the distribution of certain species [28][29][30][31][32][33][34][35][36]. A large number of investigators [37][38][39][40][41][42] have discussed the superiority of hyperspectral imaging sensors (also known imaging spectrometry), such as Airborne Imaging Spectroradiometer for Applications (AISA; Specim Inc., Oulu, Finland) over multispectral instruments, such as the Landsat Thematic Mapper.…”
Section: Introductionmentioning
confidence: 99%
“…A wide range of sensor systems, including aerial photographs, airborne and satellite multispectral and hyperspectral images have been successfully utilized for mapping the distribution of certain species [28][29][30][31][32][33][34][35][36]. A large number of investigators [37][38][39][40][41][42] have discussed the superiority of hyperspectral imaging sensors (also known imaging spectrometry), such as Airborne Imaging Spectroradiometer for Applications (AISA; Specim Inc., Oulu, Finland) over multispectral instruments, such as the Landsat Thematic Mapper.…”
Section: Introductionmentioning
confidence: 99%
“…Such conditions are best achieved at local noon time. This position permits attaining most of the reflected electromagnetic radiation (Cho et al 2008;Fernandes et al 2013;Mansour 2013;Olsson et al 2011;Rudolf et al 2015). However, not all measurements were taken using this protocol due to time constraint of the study that forced data acquisition outside of the ideal time.…”
Section: Study Areamentioning
confidence: 99%
“…The obvious advantage of hyperspectral sensors is that they can resolve more detailed features of the vegetation (Milton et al, 2009) and serve to estimate parameters that require higher spectral resolution, such as the emission of chlorophyll fluorescence (Meroni et al, 2009). Moreover, since hyperspectral information can be resampled to coarser spectral resolutions, data from hyperspectral systems can be flexibly convoluted to match spectral bands of different remote sensors (Olsson et al, 2011) increasing its value as a source of satellite calibration and validation data. In addition, hyperspectral data can be used to mine new spectral band combinations to match different ecosystem variables (e.g.…”
Section: Multispectral Vs Hyperspectral Sensorsmentioning
confidence: 99%