Assessment of fine-scale plant species beta diversity using WorldView-2 satellite spectral dissimilarity

Dalmayne, Jonas; Möckel, Thomas; Prentice, Honor C.; Schmid, Barbara; Hall, Karin

doi:10.1016/j.ecoinf.2013.05.004

Cited by 21 publications

(20 citation statements)

References 70 publications

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“…Since 2010, the Worldview-2 sensor has been providing VHSR images in 8 spectral bands, ranging from blue to near-infrared, but including additional coastal-blue, yellow and red-edge bands. Some studies have already shown the potential of Worldview-2 imagery to estimate forest biomass and structural parameters (Eckert, 2012;Mutanga et al, 2012, Ozdemir andKarnieli, 2011) or to assess fine-scale plant species beta diversity in grassland (Dalmayne et al, 2013), but to our knowledge only one study deals with vegetation mapping tasks applied to urban tree species (Pu and Landry, 2012). Faced with natural vegetation patch heterogeneity, Worldview-2 imagery is worth evaluating to map vegetation over large areas.…”

Section: Introductionmentioning

confidence: 99%

Identification and mapping of natural vegetation on a coastal site using a Worldview-2 satellite image

Rapinel

Clément

Magnanon

et al. 2014

Journal of Environmental Management

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Identification and mapping of natural vegetation are major issues for biodiversity management and conservation. Remotely sensed data with very high spatial resolution are currently used to study vegetation, but most satellite sensors are limited to four spectral bands, which is insufficient to identify some natural vegetation formations. The study objectives are to discriminate natural vegetation and identify natural vegetation formations using a Worldview-2 satellite image. The classification of the Worldview-2 image and ancillary thematic data was performed using a hybrid pixel-based and object-oriented approach. A hierarchical scheme using three levels was implemented, from land cover at a field scale to vegetation formation. This method was applied on a 48 km² site located on the French Atlantic coast which includes a classified NATURA 2000 dune and marsh system. The classification accuracy was very high, the Kappa index varying between 0.90 and 0.74 at land cover and vegetation formation levels respectively. These results show that Wordlview-2 images are suitable to identify natural vegetation. Vegetation maps derived from Worldview-2 images are more detailed than existing ones. They provide a useful medium for environmental management of vulnerable areas. The approach used to map natural vegetation is reproducible for a wider application by environmental managers.

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Section: Introductionmentioning

confidence: 99%

Identification and mapping of natural vegetation on a coastal site using a Worldview-2 satellite image

Rapinel

Clément

Magnanon

et al. 2014

Journal of Environmental Management

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“…Methods that employ spectral distances or differences are required to explain 'differences' in diversity among communities (one metric of β diversity; [18][19][20]). Dalmayne et al [21], for example, demonstrated that spectral dissimilarity and species compositional dissimilarity were correlated when compared between grassland plots at small spatial scales (2 m × 2 m). Simpler techniques, such as those based on spectral dispersion, including the CV in reflectance among plant communities, may yield a correlation with β diversity measured as variation in species composition and relative abundances among communities.…”

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confidence: 99%

Spectral Heterogeneity Predicts Local-Scale Gamma and Beta Diversity of Mesic Grasslands

et al. 2019

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Plant species diversity is an important metric of ecosystem functioning, but field assessments of diversity are constrained in number and spatial extent by labor and other expenses. We tested the utility of using spatial heterogeneity in the remotely-sensed reflectance spectrum of grassland canopies to model both spatial turnover in species composition and abundances (β diversity) and species diversity at aggregate spatial scales (γ diversity). Shannon indices of γ and β diversity were calculated from field measurements of the number and relative abundances of plant species at each of two spatial grains (0.45 m2 and 35.2 m2) in mesic grasslands in central Texas, USA. Spectral signatures of reflected radiation at each grain were measured from ground-level or an unmanned aerial vehicle (UAV). Partial least squares regression (PLSR) models explained 59–85% of variance in γ diversity and 68–79% of variance in β diversity using spatial heterogeneity in canopy optical properties. Variation in both γ and β diversity were associated most strongly with heterogeneity in reflectance in blue (350–370 nm), red (660–770 nm), and near infrared (810–1050 nm) wavebands. Modeled diversity was more sensitive by a factor of three to a given level of spectral heterogeneity when derived from data collected at the small than larger spatial grain. As estimated from calibrated PLSR models, β diversity was greater, but γ diversity was smaller for restored grassland on a lowland clay than upland silty clay soil. Both γ and β diversity of grassland can be modeled by using spatial heterogeneity in vegetation optical properties provided that the grain of reflectance measurements is conserved.

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“…Landsat data would then make it possible to quantify the contribution of the tree cover to the observed change, and WorldView data would enable a detailed description of the tree cover, including tree sizes and tree species composition. In addition, WorldView data could be used to quantify grass species diversity (Dalmayne et al 2013) and thereby provide additional important insights to vegetation change in the SSZ (Mbow et al 2013). …”

Section: Future Outlookmentioning

confidence: 99%

Remote Sensing of Woodland Structure and Composition in the Sudano-Sahelian zone : Application of WorldView-2 and Landsat 8

Karlson¹

2015

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Woodlands constitute the subsistence base of the majority of people in the Sudano-Sahelian zone (SSZ). Trees and grasses provide key ecosystem goods and services, including soil protection, fuelwood, food products and fodder. However, climate change in combination with rapidly increasing populations and altered land use practices put increasing pressure on the vegetation cover in this region. Low availability of in situ data on vegetation structure and composition hampers research and monitoring of this essential resource. Satellite and aerial remote sensing represents important alternative data sources in this context. The main advantages of remote sensing are that information can be collected with high frequency over large geographical areas at relatively low costs. This thesis explores the utility of remote sensing for mapping and analysing vegetation, primarily trees, in the SSZ. A comprehensive literature review was first conducted to describe how the application of remote sensing for analysing vegetation has developed in the SSZ between 1975 and 2014, and to identify important research gaps. Based on the gaps identified in the literature review, the capabilities of two new satellite sensors (WorldView-2 and Landsat 8) for mapping woodland structure and composition were tested in an agroforestry landscape located in central Burkina Faso. The tree attributes in focus included tree crown area (m 2 ), tree species, tree canopy cover (%) and aboveground biomass (tons ha -1 ). The data processing methods encompassed objectbased image analysis for tree crown delineation, and use of the Random Forest algorithm for tree species classification (WorldView-2) and estimation of tree canopy cover and aboveground biomass (Landsat 8).The literature review revealed that the use of remote sensing has increased extensively in the SSZ, especially since 2010. Remote sensing is increasingly used by diverse scientific disciplines although the contribution from African authors remains relatively low. The main application area has been to analyze changes in vegetation productivity and broad vegetation types, while relatively few studies have used remote sensing to map tree attributes at a higher level of detail, and to analyze interactions between the vegetation cover and environmental factors.This thesis shows that the WorldView-2 satellite represents a useful data source for mapping individual tree attributes, including tree crown area and tree species. The individual tree crown delineation achieved promising results: 85.4% of the reference trees were detected in the WorldView-2 data and tree crown area was estimated with an average error of 45.6%. Both detection and delineation accuracy was influenced by tree size, the degree of crown closure and the composition of the undergrowth vegetation. In addition, WorldView-2 data produced high classification accuracies for five locally important tree species, which are common throughout the SSZ. The highest overall classification accuracy (82.4%) was produced using multi-tempor...

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Assessment of fine-scale plant species beta diversity using WorldView-2 satellite spectral dissimilarity

Cited by 21 publications

References 70 publications

Identification and mapping of natural vegetation on a coastal site using a Worldview-2 satellite image

Identification and mapping of natural vegetation on a coastal site using a Worldview-2 satellite image

Spectral Heterogeneity Predicts Local-Scale Gamma and Beta Diversity of Mesic Grasslands

Remote Sensing of Woodland Structure and Composition in the Sudano-Sahelian zone : Application of WorldView-2 and Landsat 8

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