Comparing the efficiency of digital and conventional soil mapping to predict soil types in a semi-arid region in Iran

M Zeraatpisheh, S Ayoubi, A Jafari, P Finke - Geomorphology, 2017 - Elsevier
The efficiency of different digital and conventional soil mapping approaches to produce
categorical maps of soil types is determined by cost, sample size, accuracy and the selected …

Digital mapping of potentially toxic elements enrichment in soils of Urmia Lake due to water level decline

Z Alvyar, F Shahbazi, S Oustan, O Dengiz… - Science of The Total …, 2022 - Elsevier
Anthropogenic activities, in addition to climate change caused the drying of Urmia Lake in
Iran, since 2005. Dust storms blown from the dried lakebed have created serious …

Selection of a taxonomic level for soil mapping using diversity and map purity indices: a case study from an Iranian arid region

A Jafari, S Ayoubi, H Khademi, PA Finke, N Toomanian - Geomorphology, 2013 - Elsevier
There is a growing demand for digital soil maps for environmental planning, modeling and
management. If mapped soil classes are taken from a hierarchical taxonomic system, a …

Soil-geomorphology relationships of alluvial fans in Costa Rica

ME Camacho, A Quesada-Román, R Mata… - Geoderma …, 2020 - Elsevier
The precise determination of landforms and their formation processes are key to accomplish
detailed soil mapping and better understand of soil genesis. The Upper General River Basin …

A novel similar habitat potential model based on sliding‐window technique for vegetation restoration potential mapping

D Zhang, X Xu, S Yao, J Zhang… - Land Degradation & …, 2020 - Wiley Online Library
Vegetation restoration potential mapping (VRPM) is of great importance for regional
ecosystem restoration planning after long‐term land degradation or short‐term disasters …

Systematic comparison of five machine-learning methods in classification and interpolation of soil particle size fractions using different transformed data

M Zhang, W Shi - Hydrology and Earth System Sciences …, 2019 - hess.copernicus.org
Soil texture and soil particle size fractions (psf) play an increasing role in physical, chemical
and hydrological processes. Digital soil mapping using machine-learning methods was …

The assessment of soil chemical, physical, and structural properties as landslide predisposing factors in the Serra do Mar mountain range (Caraguatatuba, Brazil)

RI Cerri, V Rosolen, FAGV Reis, AJP Filho… - Bulletin of Engineering …, 2020 - Springer
Landslides have environmental, social, and economic impact in the Brazilian Atlantic coast
(Serra do Mar). In addition to meteorological, geological, and geomorphological settings …

Spatial distribution of iron forms and features in the dried lake bed of Urmia Lake of Iran

A Mousavi, F Shahbazi, S Oustan, AA Jafarzadeh… - Geoderma …, 2020 - Elsevier
Abstract Urmia Lake, located in Iran, has a unique pedological feature as fresh soil materials
are being exposed as the lake is shrinking. Overuse of its water resources has caused its …

Volcanic crop soil physicochemical characterization in semi-arid and temperate climates: two Mexican case studies

OA Luévano-Rivas, G Chavez-Esquivel… - Environmental …, 2024 - iopscience.iop.org
In this work, two crop soils were characterized: Querétaro (Bajío) and the State of Mexico
(Edomex). Both states are part of the Sierra Madre Occidental, where temperate and …

A two-step soil modeling approach by integrating pedological classification in digital mapping with non-stationary geostatistics

F Abbaszadeh Afshar, A Belmonte… - Arid Land Research …, 2024 - Taylor & Francis
Soils are natural bodies that exhibit intricate variations across diverse landscape, evolving
dynamically over both space and time. When evaluating and modeling spatial variability …