Digital mapping of soil properties using multiple machine learning in a semi-arid region, central Iran

M Zeraatpisheh, S Ayoubi, A Jafari, S Tajik, P Finke - Geoderma, 2019 - Elsevier
Abstract Knowledge about distribution of soil properties over the landscape is required for a
variety of land management applications and resources, modeling, and monitoring …

Assessment and monitoring of soil degradation during land use change using multivariate analysis

Y Khaledian, F Kiani, S Ebrahimi… - Land Degradation & …, 2017 - Wiley Online Library
Not only are soil erosion and overall loss of soil fertility serious issues for loess‐derived soils
of developing nations, such as Iran, but they are also global problems. This research …

Soil degradation index developed by multitemporal remote sensing images, climate variables, terrain and soil atributes

CM Nascimento, W de Sousa Mendes… - Journal of environmental …, 2021 - Elsevier
Studies on soil degradation are essential for environmental preservation. Since almost 30%
of the global soils are degraded, it is important to study and map them for improving their …

Erodibility of calcareous soils as influenced by land use and intrinsic soil properties in a semiarid region of central Iran

S Ayoubi, J Mokhtari, MR Mosaddeghi… - Environmental …, 2018 - Springer
The most important properties affecting the soil loss and runoff were investigated, and the
effects of land use on the soil properties, together with the erodibility indices in a semiarid …

The influence of organic carbon and pH on heavy metals, potassium, and magnesium levels in Lithuanian Podzols

Y Khaledian, P Pereira, EC Brevik… - Land Degradation & …, 2017 - Wiley Online Library
Industrial activities can contribute to the accumulation of heavy metals in soils, which could
potentially threaten public health and the environment. This research was conducted to …

Multispectral UAV and satellite images for digital soil modeling with gradient descent boosting and artificial neural network

T Dindaroğlu, M Kılıç, E Günal, R Gündoğan… - Earth Science …, 2022 - Springer
Sensor technology and machine learning (ML) enable rapid and accurate estimation of soil
properties. This study aimed to estimate some soil characteristics with different ML …

Effect of deforestation on soil organic carbon fate and pool, a case study in Mazandaran, Iran

M Hosseini, H Bahrami, F Khormali, K Khavazi… - Catena, 2024 - Elsevier
Deforestation and agricultural operations greatly impact soil organic carbon (SOC) and its
fractions. In order to decrease carbon dioxide emissions, prevent threats to ecosystem …

Comparison of multiple statistical techniques to predict soil phosphorus

M Hosseini, SR Agereh, Y Khaledian, HJ Zoghalchali… - Applied Soil …, 2017 - Elsevier
Soil scientists have tested various models to predict soil physical, chemical and biological
properties over the last few decades. Determination of soil phosphorus (P) in soils is difficult …

Soil physico-chemical properties and Organic Carbon stocks across different land use in an urban park of Vilnius, Lithuania

M Francos, I Bogunovic, X Úbeda… - Journal of Central …, 2023 - hrcak.srce.hr
Sažetak Urban areas are characterised by land use change processes. Urban and peri-
urban soils degradation increase at the different land uses, and the characteristic of each …

Assessing how Grazing Intensity Affects the Spatial Distribution of Soil Properties

J Barrena-González, V Antoneli, J Contador… - Earth Systems and …, 2024 - Springer
Grazing activities occupy the largest land surface, making their management crucial for
addressing key issues related to the sustainability of agroecosystems. This study seeks to …