Airborne laser scanning data as a source of field topographical characteristics

Kumhálová, Jitka; Kumhála, F.; Novák, P.; Matějková, Štěpánka

doi:10.17221/188/2013-pse

Cited by 9 publications

(7 citation statements)

References 22 publications

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“…Presented results further show that TWI can replace FAM and SM in explaining the influence of topography on crop yield. The relationship between TWI and yield is similar to that between yield and both FAM and SM (Kumhálová et al 2013, Kumhálová andMoudrý 2014). Curvature was weakly correlated with all the following attributes, which was confirmed also in other studies (e.g., Guo et al 2012).…”

Section: Resultssupporting

confidence: 87%

“…The following topography attributes are used most widely for explaining topography influence on yield: digital elevation models (DEM) (Iqbal et al 2005, Murphy et al 2009), relative field elevation (Serrano et al 2013), slope (Pilesjö et al 2005), curvature (Guo et al 2012), flow accumulation (Marques da Silva and Silva 2008, Kumhálová et al 2013), topography wetness index (TWI) (Schmidt andPersson 2003, Sørensen et al 2006), distance to flow lines (Marques da Silva and Silva 2006) and compound topographic index (Momm et al 2013).…”

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confidence: 99%

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Use of Landsat images for yield evaluation within a small plot

et al. 2014

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Many factors can influence crop yield. One of the most important factors is topography, which can play a crucial role especially in dry years. Plant variability can be monitored by many methods. This paper evaluates the suitability of vegetation indices derived from satellite Landsat 5 TM data in comparison with yield, curvature and topography wetness index over a relatively small field (11.5 ha). Imageries were chosen from the years 2006 and 2010, when oat was grown and from 2005 and 2011, when winter wheat was grown. These images were taken in June in the same growth stage for every crop. It was confirmed that derived indices from Landsat images can be used for comparison with yield and selected topographic attributes and it can explain yield variability, which can be influenced by water distribution during growth stages. Correlation coefficient between moisture stress index and winter wheat yield was -0.816 in the image acquisition date of 4. 6. 2011.

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Section: Resultssupporting

confidence: 87%

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confidence: 99%

Use of Landsat images for yield evaluation within a small plot

et al. 2014

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“…Such situations may appear when one uses finite volume or finite element methods to numerically solve PDEs, as well as when one uses models based on hexagonal cellular automata [1]. With the development of laser altimetry in geography and ecology ( [31,50]), point clouds tend to be more often used for direct analysis within a GIS. Hexagonal lattices can be used for the extraction of knowledge by clustering techniques from such data (e.g.…”

Section: Substratesmentioning

confidence: 99%

A data porting tool for coupling models with different discretization needs

Ion

Marinescu

Cruceanu

et al. 2014

Environmental Modelling & Software

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The presented work is part of a larger research program dealing with developing tools for coupling biogeochemical models in contaminated landscapes. The specific objective of this article is to provide the researchers a tool to build hexagonal raster using information from a rectangular raster data (e.g. GIS format), data porting. This tool involves a computational algorithm and an open source software (written in C). The method of extending the reticulated functions defined on 2D networks is an essential key of this algorithm and can also be used for other purposes than data porting. The algorithm allows one to build the hexagonal raster with a cell size independent from the geometry of the rectangular raster. The extended function is a bicubic spline which can exactly reconstruct polynomials up to degree three in each variable. We validate the method by analyzing errors in some theoretical case studies followed by other studies with real terrain elevation data. We also introduce and briefly present an iterative water routing method and use it for validation on a case with concrete terrain data.

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“…This observation and analysis process can be examined under two headings; large scale observation and small-scale observation. Large-scale observation is performed by remote sensing vehicles such as satellites and drones which provide wide-view snapshots of the agricultural environments (Domínguez et al, 2015;Kumhálová et al, 2014, Kumhálová et al, 2013Pantazi et al, 2016). When this system is applied to agriculture, it provides many advantages in collecting information on soil properties and cultivation areas.…”

Section: Introductionmentioning

confidence: 99%

Segmentation of Bean-Plants Using Clustering Algorithms

Kartal

Choudhary

Stočes

et al. 2020

AOL

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In recent years laser scanning platforms have been proven to be a helpful tool for plants traits analysing in agricultural applications. Three-dimensional high throughput plant scanning platforms provide an opportunity to measure phenotypic traits which can be highly useful to plant breeders. But the measurement of phenotypic traits is still carried out with labor-intensive manual observations. Thanks to the computer vision techniques, these observations can be supported with effective and efficient plant phenotyping solutions. However, since the leaves and branches of some plant types overlap with other plants nearby after a certain period of time, it becomes challenging to obtain the phenotypical properties of a single plant. In this study, it is aimed to separate bean plants from each other by using common clustering algorithms and make them suitable for trait extractions. K-means, Hierarchical and Gaussian mixtures clustering algorithms were applied to segment overlapping beans. The experimental results show that K-means clustering is more robust and faster than the others.

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Airborne laser scanning data as a source of field topographical characteristics

Cited by 9 publications

References 22 publications

Use of Landsat images for yield evaluation within a small plot

Use of Landsat images for yield evaluation within a small plot

A data porting tool for coupling models with different discretization needs

Segmentation of Bean-Plants Using Clustering Algorithms

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