Stocktake Sale on now: wide range of books at up to 70% off!
Register      Login
Soil Research Soil Research Society
Soil, land care and environmental research

Articles citing this paper

Digital mapping of topsoil pH by random forest with residual kriging (RFRK) in a hilly region

Lei Wang https://orcid.org/0000-0002-9844-6136 A , Wei Wu B and Hong-Bin Liu A C
+ Author Affiliations
- Author Affiliations

A College of Resources and Environment, Southwest University, Beibei, Chongqing 400715, China.

B College of Computer and Information Science, Southwest University, Beibei, Chongqing 400715, China.

C Corresponding author. Email: lhbin@swu.edu.cn

Soil Research 57(4) 387-396 https://doi.org/10.1071/SR18319
Submitted: 22 October 2018  Accepted: 1 March 2019   Published: 9 April 2019



11 articles found in Crossref database.

Indirect Prediction of Salt Affected Soil Indicator Properties through Habitat Types of a Natural Saline Grassland Using Unmanned Aerial Vehicle Imagery
Pásztor László, Takács Katalin, Mészáros János, Szatmári Gábor, Árvai Mátyás, Tóth Tibor, Barna Gyöngyi, Koós Sándor, Kovács Zsófia Adrienn, László Péter, Balog Kitti
Land. 2023 12(8). p.1516
Mapping soil pH levels across Europe: An analysis of LUCAS topsoil data using random forest kriging (RFK)
Xiao Shancai, Ou Minghao, Geng Yajun, Zhou Tao
Soil Use and Management. 2023 39(2). p.900
Mapping Soil Organic Carbon in Low-Relief Farmlands Based on Stratified Heterogeneous Relationship
Wu Zihao, Chen Yiyun, Yang Zhen, Zhu Yuanli, Han Yiran
Remote Sensing. 2022 14(15). p.3575
Digital mapping of selected soil properties using machine learning and geostatistical techniques in Mashhad plain, northeastern Iran
Mousavi Amin, Karimi Alireza, Maleki Sedigheh, Safari Tayebeh, Taghizadeh-Mehrjardi Ruhollah
Environmental Earth Sciences. 2023 82(9).
Field-scale digital mapping of top- and subsoil Chernozem properties
Suleymanov Azamat, Suleymanov Ruslan, Gabbasova Ilyusya, Saifullin Irik
Precision Agriculture. 2024 25(3). p.1636
Soil organic carbon stock retrieval from Sentinel-2A using a hybrid approach
Suleymanov Azamat, Abakumov Evgeny, Nizamutdinov Timur, Polyakov Vyacheslav, Shevchenko Evgeny, Makarova Maria
Environmental Monitoring and Assessment. 2024 196(1).
Artificial Intelligence and Machine Learning Empower Advanced Biomedical Material Design to Toxicity Prediction
Singh Ajay Vikram, Rosenkranz Daniel, Ansari Mohammad Hasan Dad, Singh Rishabh, Kanase Anurag, Singh Shubham Pratap, Johnston Blair, Tentschert Jutta, Laux Peter, Luch Andreas
Advanced Intelligent Systems. 2020 2(12).
Urban soils as a spatial indicator of quality for urban socio-ecological systems
Bonilla-Bedoya Santiago, López-Ulloa Magdalena, Mora-Garcés Argenis, Macedo- Pezzopane José Eduardo, Salazar Laura, Herrera Miguel Ángel
Journal of Environmental Management. 2021 300 p.113556
Spatiotemporal modelling of $$\hbox {PM}_{2.5}$$ concentrations in Lombardy (Italy): a comparative study
Otto Philipp, Fusta Moro Alessandro, Rodeschini Jacopo, Shaboviq Qendrim, Ignaccolo Rosaria, Golini Natalia, Cameletti Michela, Maranzano Paolo, Finazzi Francesco, Fassò Alessandro
Environmental and Ecological Statistics. 2024 31(2). p.245
Benefits of hierarchical predictions for digital soil mapping—An approach to map bimodal soil pH
Nussbaum Madlene, Zimmermann Stephan, Walthert Lorenz, Baltensweiler Andri
Geoderma. 2023 437 p.116579
Catchment-scale 3D mapping of depth to soil sodicity constraints through combining public and on-farm soil databases – A potential tool for on-farm management
Filippi Patrick, Jones Edward J., Bishop Thomas F.A.
Geoderma. 2020 374 p.114396

Committee on Publication Ethics


Abstract Export Citation Get Permission