Fuzzy continuous classification and spatial interpolation in conventional soil survey for soil mapping of the lower Piave plain

Bragato, G.

doi:10.1016/s0016-7061(03)00166-6

Cited by 48 publications

(22 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This limit was chosen because it represents the bottom of the studied system and was considered as almost similar throughout the study area. This sampling technique is commonly used to provide an indication of the soils represented in the field and to describe the soil types, if soil profiles have been previously determined (Cosandey et al, 2003;Earl et al, 2003;Bragato, 2004). This is the case for this site where previous studies have already been published (Bureau et al, 1995;Fierz et al, 1995;Mendonça Santos et al, 2000).…”

Section: Data Acquisitionmentioning

confidence: 99%

Identification of facies models in alluvial soil formation: The case of a Swiss alpine floodplain

Bullinger-Weber

Gobat

2006

Geomorphology

View full text Add to dashboard Cite

This paper describes different conceptual facies models intervening in alluvial soil formation in the case of the Sarine River floodplain, a partially embanked floodplain situated in the northwest of the Swiss Alps. Alluvial soils are submitted to processes of deposition and erosion and exhibit various characteristics reflecting the composition and properties of the material transported. Moreover, these processes of sedimentation and erosion vary in space and time and contribute thus to the heterogeneity of the whole floodplain system. Detailed analyses of the different soil layers permit a precise description of the variability and complexity of soil formation. In addition, the vertical succession of the horizons is useful to reconstruct the different natural or artificial events that occurred in this alluvial valley since the nineteenth century. On a larger scale, this study aims to contribute to floodplain management by identifying zones for restoration. The investigation was undertaken using data from 109 auger borings carried out in the Sarine River valley. Several morphological attributes of the different horizons and of the different profiles were first reduced in number and then grouped by a hierarchical agglomerative clustering. Profile factors were analysed by means of correlation analyses as well as other data summaries. The results showed positive correlations between several factors, particularly between the total profile thickness and the number of horizons found in the profile. Four facies models of alluvial soil formation are then proposed to illustrate and explain the variability of alluvial soil formation in the Sarine floodplain. Finally, these facies models are placed into the context of the Sarine floodplain scale case, according to the levels of organization of the alluvial system.

show abstract

Section: Data Acquisitionmentioning

confidence: 99%

Identification of facies models in alluvial soil formation: The case of a Swiss alpine floodplain

Bullinger-Weber

Gobat

2006

Geomorphology

View full text Add to dashboard Cite

show abstract

“…The CI measures the overlapping of fuzzy classes at any point and provides insight for further investigating the sites with high membership values to more than one class (Bragato, 2004 Other useful indexes to analyze overlapping fuzzy-regions may be adapted from the crisp realm (i.e. indexes commonly used for comparison of raster maps).…”

Section: Feature Analysismentioning

confidence: 99%

Fuzzy Image Segmentation for Urban Land-Cover Classification

Lizarazo¹,

Barros²

2010

photogramm eng remote sensing

View full text Add to dashboard Cite

ABSTRACT:In this paper a general fuzzy approach for segmentation-based classification is proposed. Traditional segmentation techniques focus on partitioning imagery into image-objects with well-defined boundaries. Instead, the proposed methodology aims to produce and analyze fuzzy image-regions expressing degrees of membership to different target classes. This approach, called Fuzzy Image-Regions Method (FIRME), is suitable to deal with the spectrally and spatially complexity of urban landscapes. The main stages of the FIRME approach are described, including techniques to produce such regions, alternatives to measure region attributes, and a number of methods for defuzzification. The FIRME method is tested for an urban classification experiment using multi-spectral imagery from Bogota, Colombia. Results suggest that, in complex environments, the FIRME method may be a suitable alternative to hard segmentation as it performs well in discriminating between spectrally mixed geographic objects.

show abstract

“…Through which different sources of soil information are used for the partitioning, synthesis, and simplification of different test sites. The majority of authors work predominantly with topographical data (Irvin et al, 1997;Theocharopoulos et al, 1997;Burrough et al, 2000;Bragato, 2004;Bakhsh et al, 2007;Etzelmüller et al, 2007), while others use chemical soil properties for partitioning (Søvik and Aagaard, 2003;Spijker et al, 2005;Vašát et al, 2010), soil texture (e.g., Twarakavi et al, 2010), work with theoretical data sets (e.g., Simbahan and Dobermann, 2006), use geophysical data as input towards partitioning of subsoil (e.g., Dietrich et al, 1998;Tronicke et al, 2004;Paasche and Tronicke, 2007;Dietrich and Tronicke, 2009;Paasche et al, 2010), or use texture and geophysical data (Moral et al, 2010). Li et al, (2007) use interdisciplinary input data, e.g., vegetation index, EC, total N, organic matter (OM), and cation-exchange capacity for clustering towards the delineation of site-specific management zones.…”

Section: Introductionmentioning

confidence: 99%

Combination of electromagnetic induction and gamma spectrometry using K‐means clustering: A study for evaluation of site partitioning

Altdorff

Dietrich

2012

Z. Pflanzenernähr. Bodenk.

View full text Add to dashboard Cite

Today rapid survey methods of proximal soil sensing (PSS) provide an increasing number of different and highly resolved data. These multidimensional data sets can lead to multilayered and complex maps of parameters which are only indirectly related to soil properties and soil functions. However, in applications usually just one clear elementary map is required. It is of increasing importance to tackle this problem utilizing a cluster algorithm for the synthesis and reduction of multidimensional input variables. The cluster algorithm provides a partitioning of the investigated site whereby the units are characterized by the statistics of the PSS data. Therefore, the question that arises is how suitable is the suggested partitioning in terms of the delineation of different soil units. In this study, we investigate the suitability of cluster partitioning through a case study at a medium-scale test site (≈ 50 000 m 2 ). Two common PSS methods: electromagnetic induction (EMI) and gamma spectrometry (GS) will be employed to create a data set for partitioning by a K-means cluster. The result of the cluster analysis is a delineation of three different parts. In contrast to previous studies, we evaluate the generated partitions by independent soil properties such as grain size, horizon thickness, and color of stratified randomly taken soil samples. The soil analyses show that one of three clusters significantly differs from the others in terms of grain-size distribution and horizon thickness. The partitioning of the other two clusters could not be confirmed by the considered soil parameters. Nevertheless, the case study demonstrates the combination of different PSS data by K-means clustering as a potential approach for site partitioning. An evaluation of the results of the cluster analysis through the collection and analysis of soil samples is highly recommended.Key words: site partitioning / proximal soil sensing / rapid soil survey / cluster analysis / EMI / gamma spectrometry / site-specific crop management (SSCM)

show abstract

Fuzzy continuous classification and spatial interpolation in conventional soil survey for soil mapping of the lower Piave plain

Cited by 48 publications

References 17 publications

Identification of facies models in alluvial soil formation: The case of a Swiss alpine floodplain

Identification of facies models in alluvial soil formation: The case of a Swiss alpine floodplain

Fuzzy Image Segmentation for Urban Land-Cover Classification

Combination of electromagnetic induction and gamma spectrometry using K‐means clustering: A study for evaluation of site partitioning

Contact Info

Product

Resources

About