Abstract
Abstract. In low relief region such as plains, applied digital soil mapping has a controvertible issue, therefore, this study was aimed to digital mapping of soil classes at family levels by appropriate Geomorphometric variables along with fuzzy logic with area of 16,600 hectares in Qazvin Plain. Based on the geomorphologic map, the plain and pen plain are dominant landscape units. In this regards, 61 soil profiles were dogged. According to the expert’s opinion, covariates including diffuse insolation, standardized height, catchment area, valley depth and multiresolution valley bottom flatness (MrVBF) had the most important in order to generating soil map. Also, 19 fuzzy soil class maps were generated through using sample-based in ArcSIE software. Validation were carried out using achieved overall accuracy (OA) and Kappa index through error matrix. Subsequently, both ignorance and exaggerating uncertainty of hardened soil map were also done. The results showed that 19 soil families class were found. Accordingly, OA and the Kappa index were 54% and 46% respectively. The uncertainty of ignorance and exaggeration were obtained from 0 to 0.64 and 0 to 1, respectively. Moreover, the results indicated that exaggerated uncertainty was the highest in the northern and the lowest in the southern regions. Generally, applied geomorphometric parameters had the specific importance in the low relief areas for mapping of soils that have not been assessed properly so far.
Highlights
The progressive of spatial information technology has created a great potential for digital soil mapping (DSM) paradigm
Some efforts have been made to predict the variation of soil class by using remote sensing data and using land surface dynamic feedback (LSDF) for digital soil mapping in such lands (Yang et al, 2016; Bui, 2017)
Mirakzehi et al (2018) in low relief deltaic soils in Sistan area reported that, topographic attributes are very poor for modelling of soil in this condition but some Geomorphometry factors were the most important covariates in soil classes mapping
Summary
The progressive of spatial information technology has created a great potential for digital soil mapping (DSM) paradigm. Approaches based on DSM not considered continuously in soil class and boundary mapping (Minasny and McBratney 2016). Regarding to this issue, Fuzzy logic is one of the approach that preserved continuous nature of boundary and soil class within mapping units. Fuzzy logic is one of the approach that preserved continuous nature of boundary and soil class within mapping units This approach has been widely applied for mapping spatial soil distribution studies (Zhu et al.,2010). This study aimed to modeling and mapping soil family class from case-based approach regards to compute the uncertainty in mapping units in studied plain
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