Abstract An unsolved problem in the digital mapping of categorical soil variables and types is imbalanced number observations, which leads to reduced accuracy loss minority class (the with a significantly lower observations compared other classes) final map. So far, synthetic over‐ under‐sampling techniques have been explored science; however, more efficient approaches that do not drawbacks the...

abstract a significant deficiency of most computer models used for stream floodplain analysis is that the locations of structures impacted by floodwaters, such as bridges, roads, and buildings, cannot be effectively compared to the floodplain location. this research presents a straightforward approach for processing output of the hec-ras hydraulic model, to enable two- and three dimensional flo...

Soil mapping is a permanent demand, but the traditional method does not allow fast execution and low cost. Digital soil (DSM) aims to improve process by working with models that treat spatial variability quantitatively. In this perspective, objective of study perform DSM Parnaíba River Delta, Northeastern Brazil, through decision tree (DT) integration technique using set attributes derived from...

Monitoring the soil quality (SQ) in agricultural ecosystems is necessary for using sustainable and land resources. Therefore, to evaluate SQ variation an arid environment Bajestan region, northeastern Iran, two indices (weighted additive index-SQIw nemoro index-SQIn) were applied. SQIs assessed datasets (total data set-TDS minimum set-MDS) by linear (L) nonlinear (NL) scoring methods. Physicoch...

The determination of soil texture and organic carbon across agricultural areas provides important information to derive soil condition. Precise digital soil maps can help to till agricultural fields with more accuracy, greater cost-efficiency and better environmental protection. In the present study, the laboratory analysis of sand, silt, clay and soil organic carbon (SOC) content was combined ...

Hydro-ecological modelers often use spatial variation of soil information derived from conventional soil surveys in simulation of hydro-ecological processes over watersheds at mesoscale (10–100 km). Conventional soil surveys are not designed to provide the same level of spatial detail as terrain and vegetation inputs derived from digital terrain analysis and remote sensing techniques. Soil prop...

Soil organic carbon (SOC) models were often applied to regions with high heterogeneity, but limited spatially differentiated soil information and simulation unit resolution. This study, carried out in the Tai-Lake region of China, defined the uncertainty derived from application of the DeNitrification-DeComposition (DNDC) biogeochemical model in an area with heterogeneous soil properties and di...