2012
DOI: 10.3390/rs4071947
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Utility of Satellite and Aerial Images for Quantification of Canopy Cover and Infilling Rates of the Invasive Woody Species Honey Mesquite (Prosopis Glandulosa) on Rangeland

Abstract: Woody plant encroachment into grasslands and rangelands is a world-wide phenomenon but detailed descriptions of changes in geographical distribution and infilling rates have not been well documented at large land scales. Remote sensing with either aerial or satellite images may provide a rapid means for accomplishing this task. Our objective was to compare the accuracy and utility of two types of images with contrasting spatial resolutions (1-m aerial and 30-m satellite) for classifying woody and herbaceous ca… Show more

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Cited by 24 publications
(14 citation statements)
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“…Our findings here, together with those from previous work [1,2,[29][30][31][32][33][34], highlight the fact that differing life strategies and functional properties among species directly express themselves in spectral differences. We further revealed the importance of phenology in our spectral separability analysis.…”
Section: Discussionmentioning
confidence: 54%
“…Our findings here, together with those from previous work [1,2,[29][30][31][32][33][34], highlight the fact that differing life strategies and functional properties among species directly express themselves in spectral differences. We further revealed the importance of phenology in our spectral separability analysis.…”
Section: Discussionmentioning
confidence: 54%
“…Some differences between the two maps can be attributed to the spatial resolution influencing the object-based results, as described by Immitzer et al [40,97] and Mirik and Ansley [98]. The differences in resolution, two meters versus ten meters, translated in some of the LSMS polygons consisting in a mix of classes.…”
Section: Impact Of Spatial Resolutionmentioning
confidence: 99%
“…Another important characteristic of remotely sensed imagery for mapping plant species is the spatial resolution or pixel size representing the smallest area identifiable in the imagery. Higher spatial resolution imagery often contains detailed intraspecies spectral variability than lower resolution imagery, when target species occur in small patches or cover smaller areas than the pixel size [28,48,49]. Timing, location, species composition, spectral and spatial resolutions are all important for vegetation mapping at the species level, because spectral reflectance from vegetation is determined by structural and biochemical properties, including leaf area, leaf angle distribution, architecture, biochemical and pigment (lignin, cellulose, chlorophylls, carotenes, nitrogen and water) contents [46,47] over time and space.…”
Section: Introductionmentioning
confidence: 99%