Machine learning and remote sensing techniques applied to estimate soil indicators – Review
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Machine learning and remote sensing techniques applied to estimate soil indicators – Review
Authors
Keywords
Remote sensing, Machine learning, Soil quality indicators, Agricultural systems
Journal
ECOLOGICAL INDICATORS
Volume 135, Issue -, Pages 108517
Publisher
Elsevier BV
Online
2021-12-30
DOI
10.1016/j.ecolind.2021.108517
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Efficient RTM-based training of machine learning regression algorithms to quantify biophysical & biochemical traits of agricultural crops
- (2021) Martin Danner et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Extreme climate variability weakens a major tropical agricultural hub
- (2020) Carlos E. González-Orozco et al. ECOLOGICAL INDICATORS
- Consolidation effects on relationships among soil erosion properties and soil physical quality indicators
- (2020) G.V. Wilson et al. SOIL & TILLAGE RESEARCH
- A calculator to quantify cover crop effects on soil health and productivity
- (2020) Jinshi Jian et al. SOIL & TILLAGE RESEARCH
- Review: Cost-Effective Unmanned Aerial Vehicle (UAV) Platform for Field Plant Breeding Application
- (2020) GyuJin Jang et al. Remote Sensing
- Experimental Evaluation and Consistency Comparison of UAV Multispectral Minisensors
- (2020) Han Lu et al. Remote Sensing
- Opportunities for seagrass research derived from remote sensing: A review of current methods
- (2020) Bijeesh Kozhikkodan Veettil et al. ECOLOGICAL INDICATORS
- Monitoring spring phenology of individual tree crowns using drone‐acquired NDVI data
- (2020) Dominic Fawcett et al. Remote Sensing in Ecology and Conservation
- Quantifying plant-soil-nutrient dynamics in rangelands: Fusion of UAV hyperspectral-LiDAR, UAV multispectral-photogrammetry, and ground-based LiDAR-digital photography in a shrub-encroached desert grassland
- (2020) Joel B. Sankey et al. REMOTE SENSING OF ENVIRONMENT
- The potential of remote sensing and artificial intelligence as tools to improve the resilience of agriculture production systems
- (2020) Jinha Jung et al. CURRENT OPINION IN BIOTECHNOLOGY
- Modelling and mapping soil organic carbon stocks in Brazil
- (2019) Lucas Carvalho Gomes et al. GEODERMA
- Assessing Correlation of High-Resolution NDVI with Fertilizer Application Level and Yield of Rice and Wheat Crops using Small UAVs
- (2019) Senlin Guan et al. Remote Sensing
- Quantitative Estimation of Soil Salinity Using UAV-Borne Hyperspectral and Satellite Multispectral Images
- (2019) Jie Hu et al. Remote Sensing
- A review on weed detection using ground-based machine vision and image processing techniques
- (2019) Aichen Wang et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Investigating the impact of data normalization on classification performance
- (2019) Dalwinder Singh et al. APPLIED SOFT COMPUTING
- How relationships between soil organic matter parameters and soil structure characteristics are affected by the long-term fertilization of a sandy soil
- (2019) Vladimír Šimanský et al. GEODERMA
- Geo-Object-Based Soil Organic Matter Mapping Using Machine Learning Algorithms With Multi-Source Geo-Spatial Data
- (2019) Tianjun Wu et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Random Forests and Cubist Algorithms for Predicting Shear Strengths of Rockfill Materials
- (2019) Jian Zhou et al. Applied Sciences-Basel
- Mapping dynamics of soil organic matter in croplands with MODIS data and machine learning algorithms
- (2019) Di Chen et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Ensemble Identification of Spectral Bands Related to Soil Organic Carbon Levels over an Agricultural Field in Southern Ontario, Canada
- (2019) Ahmed Laamrani et al. Remote Sensing
- Prediction of Soil Organic Carbon based on Landsat 8 Monthly NDVI Data for the Jianghan Plain in Hubei Province, China
- (2019) Yangchengsi Zhang et al. Remote Sensing
- Evaluation of reclamation success in an open-pit coal mine using integrated soil physical, chemical and biological quality indicators
- (2019) Yamileth Domínguez-Haydar et al. ECOLOGICAL INDICATORS
- Spatial-Temporal Changes in Soil Organic Carbon and pH in the Liaoning Province of China: A Modeling Analysis Based on Observational Data
- (2019) Li Qi et al. Sustainability
- Soil Organic Carbon Mapping Using Multispectral Remote Sensing Data: Prediction Ability of Data with Different Spatial and Spectral Resolutions
- (2019) Daniel Žížala et al. Remote Sensing
- Assessing the effects of deforestation and intensive agriculture on the soil quality through digital soil mapping
- (2019) Mojtaba Zeraatpisheh et al. GEODERMA
- Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review
- (2018) Anna Chlingaryan et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Managing the salinization and drainage problems of irrigated areas through remote sensing and GIS techniques
- (2018) Ajay Singh ECOLOGICAL INDICATORS
- High resolution mapping of soil organic carbon stocks using remote sensing variables in the semi-arid rangelands of eastern Australia
- (2018) Bin Wang et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Soil quality – A critical review
- (2018) Else K. Bünemann et al. SOIL BIOLOGY & BIOCHEMISTRY
- European long-term field experiments: knowledge gained about alternative management practices
- (2018) T. Sandén et al. SOIL USE AND MANAGEMENT
- Soil quality change 50 years after forestland conversion to tea farming
- (2018) Azadeh Gholoubi et al. Soil Research
- Integration of high resolution remotely sensed data and machine learning techniques for spatial prediction of soil properties and corn yield
- (2018) Sami Khanal et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Digital mapping of soil properties using multiple machine learning in a semi-arid region, central Iran
- (2018) Mojtaba Zeraatpisheh et al. GEODERMA
- Machine Learning in Agriculture: A Review
- (2018) Konstantinos Liakos et al. SENSORS
- Spatiotemporal Variability of Soil Nitrogen in Relation to Environmental Factors in a Low Hilly Region of Southeastern China
- (2018) Shan He et al. International Journal of Environmental Research and Public Health
- Attribution of crop yield responses to application of organic amendments: A critical review
- (2018) Corinne Celestina et al. SOIL & TILLAGE RESEARCH
- Incorporation of satellite remote sensing pan-sharpened imagery into digital soil prediction and mapping models to characterize soil property variability in small agricultural fields
- (2017) Yiming Xu et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Estimating decay dynamics for enzyme activities in soils from different ecosystems
- (2017) Joshua Schimel et al. SOIL BIOLOGY & BIOCHEMISTRY
- Impact of 25 years of inorganic fertilization on diazotrophic abundance and community structure in an acidic soil in southern China
- (2017) Chao Wang et al. SOIL BIOLOGY & BIOCHEMISTRY
- Soil health - What should the doctor order?
- (2017) M. Wood et al. SOIL USE AND MANAGEMENT
- High Resolution Mapping of Soil Properties Using Remote Sensing Variables in South-Western Burkina Faso: A Comparison of Machine Learning and Multiple Linear Regression Models
- (2017) Gerald Forkuor et al. PLoS One
- Remote estimation of soil organic matter content in the Sanjiang Plain, Northest China: The optimal band algorithm versus the GRA-ANN model
- (2016) Xiuliang Jin et al. AGRICULTURAL AND FOREST METEOROLOGY
- Selection of biological indicators appropriate for European soil monitoring
- (2016) D. Stone et al. APPLIED SOIL ECOLOGY
- Rapid assessment of soil organic matter: Soil color analysis and Fourier transform infrared spectroscopy
- (2016) Karen Baumann et al. GEODERMA
- Characterization of Soil Erosion Indicators Using Hyperspectral Data From a Mediterranean Rainfed Cultivated Region
- (2016) Thomas Schmid et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an Afromontane landscape
- (2015) Kennedy Were et al. ECOLOGICAL INDICATORS
- The role of soil properties and it’s interaction towards quality plant fiber: A review
- (2015) H.P.S. Abdul Khalil et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Spatial prediction of soil organic matter content integrating artificial neural network and ordinary kriging in Tibetan Plateau
- (2014) Fuqiang Dai et al. ECOLOGICAL INDICATORS
- Field method for rapid quantification of labile organic carbon in hyper-arid desert soils validated by two thermal methods
- (2014) Lauren E. Fletcher et al. International Journal of Astrobiology
- Long-term effects of mineral fertilizers on soil microorganisms – A review
- (2014) Daniel Geisseler et al. SOIL BIOLOGY & BIOCHEMISTRY
- The critical soil P levels for crop yield, soil fertility and environmental safety in different soil types
- (2013) Zhaohai Bai et al. PLANT AND SOIL
- Closing yield gaps through nutrient and water management
- (2012) Nathaniel D. Mueller et al. NATURE
- Development of spectral indices for detecting and identifying plant diseases
- (2012) A.-K. Mahlein et al. REMOTE SENSING OF ENVIRONMENT
- The assessment of spatial distribution of soil salinity risk using neural network
- (2011) Akmal Akramkhanov et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- On the use of statistical models to predict crop yield responses to climate change
- (2010) David B. Lobell et al. AGRICULTURAL AND FOREST METEOROLOGY
- Use of indicators and pore volume-function characteristics to quantify soil physical quality
- (2009) W.D. Reynolds et al. GEODERMA
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreDiscover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversation