THE RELATION BETWEEN COST AND UTILITY IN SOIL SURVEY (I–III)<sup>1</sup>

Burrough, P.A.; Beckett, P. H. T.; Jarvis, M. G.

doi:10.1111/j.1365-2389.1971.tb01624.x

Cited by 50 publications

(14 citation statements)

References 12 publications

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“…Nevertheless, classification procedures in use often partition the landscape into homogeneous, discrete units, by assigning each unit into one attribute class and only one class (Jain et al 1999). This type of modeling has been criticized for its simplicity, its inherent loss of information (by ignoring spatial variability) and limited use for land evaluation (Beckett and Webster 1971;Burrough et al 1971Burrough et al , 1992.…”

Section: Introductionmentioning

confidence: 98%

Fuzzy-logic modeling of land suitability for hybrid poplar across the Prairie Provinces of Canada

Joss

Hall

Sidders

et al. 2007

Environ Monit Assess

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Determining the feasibility of a large-scale afforestation program is one approach being investigated by the Government of Canada to increase Canada's potential to sequester carbon from the atmosphere. Large-scale afforestation, however, requires knowledge of where it is suitable to establish and grow trees. Spatial models based on Boolean logic and/or statistical models within a geographic information system may be used for this purpose, but empirical environmental data are often lacking, and the association of these data to land suitability is most often a subjective process. As a solution to this problem, this paper presents a fuzzy-logic modeling approach to assess land suitability for afforestation of hybrid poplar (Populus spp.) over the Prairie Provinces of Canada. Expert knowledge regarding the selection and magnitudes of environmental variables were integrated into fuzzy rule sets from which estimates of land suitability were generated and presented in map form. The environmental variables selected included growing season precipitation, climate moisture index, growing degree days, and Canada Land Inventory capability for agriculture and elevation. Approximately 150,000 km2, or 28% of the eligible land base within the Prairie Provinces was found to be suitable for afforestation. Accuracy assessments conducted with fuzzy accuracy methods provided a more descriptive assessment of the resulting land suitability map than figures generated from a more conventional Boolean-based accuracy measure. Modeling, mapping and accuracy assessment issues were identified for future extension of this work to map hybrid poplar land suitability over Canada.

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Section: Introductionmentioning

confidence: 98%

Fuzzy-logic modeling of land suitability for hybrid poplar across the Prairie Provinces of Canada

Joss

Hall

Sidders

et al. 2007

Environ Monit Assess

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“…Remote sensing imagery data (spectral data) were also considered along with terrain attributes in some studies 42,43 . The present study focused on covariates derived from terrain attributes from the Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM) with a 90 m resolution 44 , multi-temporal RapidEye and Landsat imagery bands, and indices calculated from them, along with maps of parent material, climate and land cover data, to unravel the complex soil environmental relations regarding spatial soil class distribution. However, in order to reduce the complexity of the covariate space and optimize prediction accuracy, a feature selection approach was used to exclude irrelevant and/or redundant information 39,45 .…”

Section: Introductionmentioning

confidence: 99%

Predicting reference soil groups using legacy data: A data pruning and Random Forest approach for tropical environment (Dano catchment, Burkina Faso)

Hounkpatin

Schmidt

Stumpf

et al. 2018

Sci Rep

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Predicting taxonomic classes can be challenging with dataset subject to substantial irregularities due to the involvement of many surveyors. A data pruning approach was used in the present study to reduce such source errors by exploring whether different data pruning methods, which result in different subsets of a major reference soil groups (RSG) – the Plinthosols – would lead to an increase in prediction accuracy of the minor soil groups by using Random Forest (RF). This method was compared to the random oversampling approach. Four datasets were used, including the entire dataset and the pruned dataset, which consisted of 80% and 90% respectively, and standard deviation core range of the Plinthosols data while cutting off all data points belonging to the outer range. The best prediction was achieved when RF was used with recursive feature elimination along with the non-oversampled 90% core range dataset. This model provided a substantial agreement to observation, with a kappa value of 0.57 along with 7% to 35% increase in prediction accuracy for smaller RSG. The reference soil groups in the Dano catchment appeared to be mainly influenced by the wetness index, a proxy for soil moisture distribution.

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“…Brown & Huddleston (1991) suggested that this contrast reflects perhaps some disinclination to report the truth, but it seems more likely that impurities are underestimated because Soil Survey Staff (1993) suggests a biased method, namely to estimate the actual amount of inclusions from observations made during the survey and make adjustments in mapping if appropriate. Marsman & Gruijter (1984) and Burrough et al (1971) have argued that the concept of purity has little meaning, because it is conditioned by legend definitions, for example, stating that the soil of a mapping unit has a pH ranging between 1 and 14 gives 100% purity, but 0% information. Nevertheless, information on purity, in combination with other criteria, is thought to be helpful; not just for quantifying mapping errors, but rather for assessing the balance between the level of generalization in the legend of a map and real world complexity.…”

Section: Puritymentioning

confidence: 99%

Variability of apparently homogeneous soilscapes in São Paulo state, Brazil: II. quality of soil maps

Berg¹,

Oliveira

2000

Rev. Bras. Ciênc. Solo

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SUMMARYThe quality of semi-detailed (scale 1:100.000) soil maps and the utility of a taxonomically based legend were assessed by studying 33 apparently homogeneous fields with strongly weathered soils in two regions in São Paulo State: Araras and Assis. An independent data set of 395 auger sites was used to determine purity of soil mapping units and analysis of variance within and between mapping units and soil classification units. Twenty three soil profiles were studied in detail. The studied soil maps have a high purity for some legend criteria, such as B horizon type (> 90%) and soil texture class (> 80%). The purity for the "trophic character" (eutrophic, dystrophic, allic) was only 55% in Assis. It was 88% in Araras, where many soil units had been mapped as associations. In both regions, the base status of clay-textured soils was generally better than suggested by the maps. Analysis of variance showed that mapping was successful for "durable" soil characteristics such as clay content (> 80% of variance explained) and cation exchange capacity (

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THE RELATION BETWEEN COST AND UTILITY IN SOIL SURVEY (I–III)¹

Cited by 50 publications

References 12 publications

Fuzzy-logic modeling of land suitability for hybrid poplar across the Prairie Provinces of Canada

Fuzzy-logic modeling of land suitability for hybrid poplar across the Prairie Provinces of Canada

Predicting reference soil groups using legacy data: A data pruning and Random Forest approach for tropical environment (Dano catchment, Burkina Faso)

Variability of apparently homogeneous soilscapes in São Paulo state, Brazil: II. quality of soil maps

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THE RELATION BETWEEN COST AND UTILITY IN SOIL SURVEY (I–III)1

Cited by 50 publications

References 12 publications

Fuzzy-logic modeling of land suitability for hybrid poplar across the Prairie Provinces of Canada

Fuzzy-logic modeling of land suitability for hybrid poplar across the Prairie Provinces of Canada

Predicting reference soil groups using legacy data: A data pruning and Random Forest approach for tropical environment (Dano catchment, Burkina Faso)

Variability of apparently homogeneous soilscapes in São Paulo state, Brazil: II. quality of soil maps

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THE RELATION BETWEEN COST AND UTILITY IN SOIL SURVEY (I–III)¹