An object-based image analysis approach for determining fractional cover of senescent and green vegetation with digital plot photography

Laliberte, Andrea S.; Rango, A.; Fredrickson, Ed L.; Burkett, Laura M.

doi:10.1016/j.jaridenv.2006.08.016

Cited by 136 publications

(94 citation statements)

References 22 publications

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“…The investigation made it possible to improve the work done by Laliberte et al (2007), obtaining the photographic captures by using a pattern of known length, and introducing it in the scenario avoiding the pixel scale reduction calculation in each obtained image.…”

Section: Resultsmentioning

confidence: 99%

“…On the other hand, there is evidence in the study of Laliberte et al (2007) of leaf coverage estimation using digital camera and image processing of the vegetation present in the arid region of the United States, obtaining correlation coefficients between 0.88 and 0.95. However, this method lack the necessary qualities to introduce it in other type of scenarios, specifically when calibrating the scale reduction of pixels in the obtained images.…”

Section: Introductionmentioning

confidence: 99%

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Method for estimating leaf coverage in strawberry plants using digital image processing

Sandino

Ramos-Sandoval

Amaya

2016

Rev. bras. eng. agríc. ambient.

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A B S T R A C TIn farming the measurement of leaf coverage is considered as an exhaustive task for the researchers due to most of the time they do not have access to the adequate tool for this purpose. A new algorithm, implemented in this investigation, allows to estimate by means of a non-destructive method, the leaf coverage value of strawberry plants (fragaria x ananassa) of the cultivar Albion in the Cajicá region, Colombia, by using digital image processing techniques ( DPI). The DPI based technique includes the smoothing, dilatation, contour detection, threshold and edges detection operations. The image acquisition system was conducted by means of photographic images in plants in study, directly from the beds of the crop and the captures were subsequently processed through the proposed algorithm. The obtained results show the measured values of the plants leaf coverage in cm 2 , with up to 90% of accuracy. This system gives an important contribution to the crop evolution analysis by computational tools, making easier the monitoring work.Método para estimar a cobertura foliar das plantas de morango usando processamento de imagem digital R E S U M O Na agricultura a medição da cobertura de folha é considerada como uma tarefa exaustiva para os pesquisadores, devido na maioria das vezes eles não terem acesso à ferramenta para este proposito. Um novo algoritmo, implementado nesta investigação permite estimar, por meio de um método não destrutivo, o valor de cobertura foliar das plantas de morango (fragaria x ananassa) da cultivar Albion na região de Cajicá, Colômbia, usando técnicas de processamento digital de imagens (PDI). A técnica baseada em PDI inclui as operações de suavização, dilatação, detecção de contorno, limiarização e detecção de bordas. O sistema de aquisição de imagem foi realizado por meio de imagens fotográficas nas plantas em estudo, diretamente dos canteiros da cultura e as capturas foram posteriormente processadas mediante o algoritmo proposto. Os resultados obtidos mostram os valores medidos da cobertura foliar de plantas em cm 2 , com até 90% de precisão. Este sistema proporciona uma importante contribuição para a análise da evolução das culturas por ferramentas computacionais, tornando mais fácil o trabalho de monitoramento. Key words:imaging fragaria x ananassa non-destructive method Palavras-chave: imagem fragaria x ananassa método não-destrutivo

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Method for estimating leaf coverage in strawberry plants using digital image processing

Sandino

Ramos-Sandoval

Amaya

2016

Rev. bras. eng. agríc. ambient.

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“…Image analysis has been successfully applied to ground images, with substantially different objectives, including the classification of soil structures (Gimmi and Ursino, 2004), soil texture (Graham et al, 2005(Graham et al, , 2010 and soil cover (Laliberte et al, 2007). The whole spectrum of light may be used to analyze the vegetation responses to external stimuli (Chaerle and Van Der Straeten, 2001).…”

Section: N Ursino Et Al: Measuring and Modeling Soil-vegetation Feementioning

confidence: 99%

Measuring and modeling water-related soil–vegetation feedbacks in a fallow plot

Ursino

Cassiani

Deiana

et al. 2014

Hydrol. Earth Syst. Sci.

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Abstract. Land fallowing is one possible response to shortage of water for irrigation. Leaving the soil unseeded implies a change of the soil functioning that has an impact on the water cycle. The development of a soil crust in the open spaces between the patterns of grass weed affects the soil properties and the field-scale water balance. The objectives of this study are to test the potential of integrated non-invasive geophysical methods and ground-image analysis and to quantify the effect of the soil-vegetation interaction on the water balance of fallow land at the local-and plot scale.We measured repeatedly in space and time local soil saturation and vegetation cover over two small plots located in southern Sardinia, Italy, during a controlled irrigation experiment. One plot was left unseeded and the other was cultivated. The comparative analysis of ERT maps of soil moisture evidenced a considerably different hydrologic response to irrigation of the two plots. Local measurements of soil saturation and vegetation cover were repeated in space to evidence a positive feedback between weed growth and infiltration at the fallow plot. A simple bucket model captured the different soil moisture dynamics at the two plots during the infiltration experiment and was used to estimate the impact of the soil vegetation feedback on the yearly water balance at the fallow site.

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“…However, most previous research has focused on distinguishing between major general categories, such as vegetation and nonvegetation (Laliberte et al 2007;Zhou & Liu 2015), and are typically not used to characterize more subtle patterns within major land cover classes. Many applications in literature have been in rangeland, while there is a lack of wetland classification.…”

mentioning

confidence: 99%

Technical note: A simple approach for efficient collection of field reference data for calibrating remote sensing mapping of northern wetlands

Gålfalk¹,

Karlson²,

Crill³

et al. 2017

Preprint

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Abstract. The calibration and validation of remote sensing land cover products is highly dependent on accurate field reference data, which are costly and practically challenging to collect. We describe an optical method for collection of field reference 10 data that is a fast, cost-efficient, and robust alternative to field surveys and UAV imaging. A light weight, water proof, remote controlled RGB-camera (GoPro) was used to take wide-angle images from 3.1 -4.5 m altitude using an extendable monopod, as well as representative near-ground (< 1 m) images to identify spectral and structural features that correspond to various land covers at present lighting conditions. A semi-automatic classification was made based on six surface types (graminoids, water, shrubs, dry moss, wet moss, and rock). The method enables collection of detailed field reference data which is critical in many 15 remote sensing applications, such as satellite-based wetland mapping. The method uses common non-expensive equipment, does not require special skills or education, and is facilitated by a step-by-step manual that is included in the supplementary information. Over time a global ground cover database can be built that is relevant for ground truthing of wetland studies from satellites such as Sentinel 1 and 2 (10 m pixel size).

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An object-based image analysis approach for determining fractional cover of senescent and green vegetation with digital plot photography

Cited by 136 publications

References 22 publications

Method for estimating leaf coverage in strawberry plants using digital image processing

Method for estimating leaf coverage in strawberry plants using digital image processing

Measuring and modeling water-related soil–vegetation feedbacks in a fallow plot

Technical note: A simple approach for efficient collection of field reference data for calibrating remote sensing mapping of northern wetlands

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