Conventional and digital soil mapping in Iran: Past, present, and future

M Zeraatpisheh, A Jafari, MB Bodaghabadi, S Ayoubi… - Catena, 2020 - Elsevier
Demand for accurate soil information is increasing for various applications. This paper
investigates the history of soil survey in Iran, particularly more recent developments in the …

Improving the spatial prediction of soil salinity in arid regions using wavelet transformation and support vector regression models

R Taghizadeh-Mehrjardi, K Schmidt, N Toomanian… - Geoderma, 2021 - Elsevier
The low potential of agricultural productivity in the majority of central Iran is mainly attributed
to high levels of soil salinity. To increase agricultural productivity, while preventing any …

Estimation of soil salt content (SSC) in the Ebinur Lake Wetland National Nature Reserve (ELWNNR), Northwest China, based on a Bootstrap-BP neural network …

X Wang, F Zhang, J Ding, A Latif, VC Johnson - Science of the Total …, 2018 - Elsevier
Soil salinity is recognized worldwide as a major threat to agriculture, particularly in arid
regions. Producers and decision-makers thus require updated and accurate maps of salinity …

Assessing agricultural salt-affected land using digital soil mapping and hybridized random forests

K Nabiollahi, R Taghizadeh-Mehrjardi, A Shahabi… - Geoderma, 2021 - Elsevier
Salinization and alkalization are predominant environmental problem world-wide which their
accurate assessment is essential for determining appropriate ways to deal with land …

Investigation of the spatial and temporal variation of soil salinity using random forests in the central desert of Iran

H Fathizad, MAH Ardakani, H Sodaiezadeh, R Kerry… - Geoderma, 2020 - Elsevier
Traditional soil salinity studies, especially over large areas, are expensive and time-
consuming. Therefore, it is necessary to employ new methods to examine salinity of large …

Assessment and Mapping of Soil Salinity Using the EM38 and EM38MK2 Sensors: A Focus on the Modeling Approaches

PA Petsetidi, G Kargas - Land, 2023 - mdpi.com
Soil salinization and its detrimental agricultural, environmental, and socioeconomic impact
over extended regions represent a major global concern that needs to be addressed. The …

Digital soil mapping using remote sensing indices, terrain attributes, and vegetation features in the rangelands of northeastern Iran

E Mahmoudabadi, A Karimi, GH Haghnia… - Environmental monitoring …, 2017 - Springer
Digital soil mapping has been introduced as a viable alternative to the traditional mapping
methods due to being fast and cost-effective. The objective of the present study was to …

Soil salinity prediction using Machine Learning and Sentinel–2 Remote Sensing Data in Hyper–Arid areas

G Kaplan, M Gašparović, AS Alqasemi… - … of the Earth, Parts A/B/C, 2023 - Elsevier
We are experiencing a considerable increase in soil salinity as a result of the influence of
climate change or environmental contamination produced by excessive industry and …

Machine learning performance for predicting soil salinity using different combinations of geomorphometric covariates

D Vermeulen, A Van Niekerk - Geoderma, 2017 - Elsevier
Conventional methods of monitoring salt accumulation in irrigation schemes require regular
field visits to collect soil samples for laboratory analysis. Identifying areas prone to salt …

Salt dome related soil salinity in southern Iran: Prediction and mapping with averaging machine learning models

F Abedi, A Amirian‐Chakan, M Faraji… - Land Degradation & …, 2021 - Wiley Online Library
In order to manage soil salinity effectively, it is necessary to understand the origin and the
spatial distribution of salinity. There are about 120 salt dome outcrops in southern Iran and …