Prediction of soil attributes using the Chinese soil spectral library and standardized spectra recorded at field conditions
Organic matter (OM), total nitrogen (TN), and pH are essential soil properties for assessing the fertility of paddy soils. They can be measured with visible and near infrared (vis-NIR) spectroscopy effectively in the field. However, environmental factors e.g., soil moisture and particle size distrib...
| Main Authors: | Ji, W., Li, S., Chen, S., Shi, Z., Viscarra Rossel, Raphael, Mouazen, A. |
|---|---|
| Format: | Journal Article |
| Published: |
2016
|
| Online Access: | http://hdl.handle.net/20.500.11937/73962 |
Similar Items
Accounting for the effects of water and the environment on proximally sensed vis-NIR soil spectra and their calibrations
by: Ji, W., et al.
Published: (2015)
by: Ji, W., et al.
Published: (2015)
Prediction of soil organic matter using a spatially constrained local partial least squares regression and the Chinese vis-NIR spectral library
by: Shi, Z., et al.
Published: (2015)
by: Shi, Z., et al.
Published: (2015)
Proximal spectral sensing in pedological assessments: vis–NIR spectra for soil classification based on weathering and pedogenesis
by: Terra, F., et al.
Published: (2018)
by: Terra, F., et al.
Published: (2018)
Development of a national VNIR soil-spectral library for soil classification and prediction of organic matter concentrations
by: Shi, Z., et al.
Published: (2014)
by: Shi, Z., et al.
Published: (2014)
Improved estimates of organic carbon using proximally sensed vis-NIR spectra corrected by piecewise direct standardization
by: Ji, W., et al.
Published: (2015)
by: Ji, W., et al.
Published: (2015)
Spectral libraries for quantitative analyses of tropical Brazilian soils: Comparing vis-NIR and mid-IR reflectance data
by: Terra, F., et al.
Published: (2015)
by: Terra, F., et al.
Published: (2015)
Spectral fusion by Outer Product Analysis (OPA) to improve predictions of soil organic C
by: Terra, F., et al.
Published: (2019)
by: Terra, F., et al.
Published: (2019)
Applications of proximal sensing to soil science
by: Viscarra Rossel, Raphael
Published: (2014)
by: Viscarra Rossel, Raphael
Published: (2014)
A global spectral library to characterize the world's soil
by: Viscarra Rossel, Raphael, et al.
Published: (2016)
by: Viscarra Rossel, Raphael, et al.
Published: (2016)
Soil classification using visible/near-infrared diffuse reflectance spectra from multiple depths
by: Vasques, G., et al.
Published: (2014)
by: Vasques, G., et al.
Published: (2014)
Updating a national soil classification with spectroscopic predictions and digital soil mapping
by: Teng, H., et al.
Published: (2018)
by: Teng, H., et al.
Published: (2018)
Evaluation of two methods to eliminate the effect of water from soil vis–NIR spectra for predictions of organic carbon
by: Roudier, P., et al.
Published: (2017)
by: Roudier, P., et al.
Published: (2017)
How does grinding affect the mid-infrared spectra of soil and their multivariate calibrations to texture and organic carbon?
by: Le Guillou, F., et al.
Published: (2015)
by: Le Guillou, F., et al.
Published: (2015)
Deep transfer learning of global spectra for local soil carbon monitoring
by: Shen, Zefang, et al.
Published: (2022)
by: Shen, Zefang, et al.
Published: (2022)
Proximal sensing for soil carbon accounting
by: England, J., et al.
Published: (2018)
by: England, J., et al.
Published: (2018)
rs-local data-mines information from spectral libraries to improve local calibrations
by: Lobsey, C., et al.
Published: (2017)
by: Lobsey, C., et al.
Published: (2017)
Do we really need large spectral libraries for local scale SOC assessment with NIR spectroscopy?
by: Guerrero, C., et al.
Published: (2016)
by: Guerrero, C., et al.
Published: (2016)
Soil sensing: A new paradigm for agriculture
by: Viscarra Rossel, Raphael, et al.
Published: (2016)
by: Viscarra Rossel, Raphael, et al.
Published: (2016)
Diffuse reflectance spectroscopy characterises the functional chemistry of soil organic carbon in agricultural soils
by: Wetterlind, J., et al.
Published: (2022)
by: Wetterlind, J., et al.
Published: (2022)
Sensing of soil bulk density for more accurate carbon accounting
by: Lobsey, C., et al.
Published: (2016)
by: Lobsey, C., et al.
Published: (2016)
A new detailed map of total phosphorus stocks in Australian soil
by: Viscarra Rossel, Raphael, et al.
Published: (2016)
by: Viscarra Rossel, Raphael, et al.
Published: (2016)
Guest Editorial: Near infrared spectroscopy for a better understanding of soil
by: Viscarra Rossel, Raphael, et al.
Published: (2016)
by: Viscarra Rossel, Raphael, et al.
Published: (2016)
The cost-efficiency and reliability of two methods for soil organic C accounting
by: Viscarra Rossel, Raphael, et al.
Published: (2018)
by: Viscarra Rossel, Raphael, et al.
Published: (2018)
Assessment of soil properties in situ using a prototype portable MIR spectrometer in two agricultural fields
by: Ji, W., et al.
Published: (2016)
by: Ji, W., et al.
Published: (2016)
Soil organic carbon and its fractions estimated by visible-near infrared transfer functions
by: Viscarra Rossel, Raphael, et al.
Published: (2015)
by: Viscarra Rossel, Raphael, et al.
Published: (2015)
Continental soil drivers of ammonium and nitrate in Australia
by: Lee, Juhwan, et al.
Published: (2018)
by: Lee, Juhwan, et al.
Published: (2018)
Baseline map of soil organic carbon in Tibet and its uncertainty in the 1980s
by: Zhou, Y., et al.
Published: (2019)
by: Zhou, Y., et al.
Published: (2019)
Selected papers from the Third Global Workshop on Proximal Soil Sensing 2013
by: Viscarra Rossel, Raphael, et al.
Published: (2015)
by: Viscarra Rossel, Raphael, et al.
Published: (2015)
Developing the Australian mid-infrared spectroscopic database using data from the Australian Soil Resource Information System
by: Hicks, W., et al.
Published: (2015)
by: Hicks, W., et al.
Published: (2015)
Proximal sensing of Cu in soil and lettuce using portable X-ray fluorescence spectrometry
by: Sacristán, D., et al.
Published: (2016)
by: Sacristán, D., et al.
Published: (2016)
Multi-scale digital soil mapping with deep learning
by: Behrens, T., et al.
Published: (2018)
by: Behrens, T., et al.
Published: (2018)
Toxicity and bioaccumulation of Cu in an accumulator crop (Lactuca sativa L.) in different Australian agricultural soils
by: Sacristán, D., et al.
Published: (2015)
by: Sacristán, D., et al.
Published: (2015)
Baseline map of soil organic matter in China and its associated uncertainty
by: Liang, Z., et al.
Published: (2019)
by: Liang, Z., et al.
Published: (2019)
Can the sequestered carbon in agricultural soil be maintained with changes in management, temperature and rainfall? A sensitivity assessment
by: Luo, Z., et al.
Published: (2016)
by: Luo, Z., et al.
Published: (2016)
The Australian three-dimensional soil grid: Australia's contribution to the GlobalSoilMap project
by: Viscarra Rossel, Raphael, et al.
Published: (2015)
by: Viscarra Rossel, Raphael, et al.
Published: (2015)
Novel Proximal Sensing for Monitoring Soil Organic C Stocks and Condition
by: Viscarra Rossel, Raphael, et al.
Published: (2017)
by: Viscarra Rossel, Raphael, et al.
Published: (2017)
Proximal soil sensing of soil texture and organic matter with a prototype portable mid-infrared spectrometer
by: Dhawale, N., et al.
Published: (2015)
by: Dhawale, N., et al.
Published: (2015)
Curvelet transform to study scale-dependent anisotropic soil spatial variation
by: Biswas, A., et al.
Published: (2014)
by: Biswas, A., et al.
Published: (2014)
Integrating geospatial and multi-depth laboratory spectral data for mapping soil classes in a geologically complex area in southeastern Brazil
by: Vasques, G., et al.
Published: (2015)
by: Vasques, G., et al.
Published: (2015)
Soil and landscape grid of Australia
by: Grundy, M., et al.
Published: (2015)
by: Grundy, M., et al.
Published: (2015)
Similar Items
-
Accounting for the effects of water and the environment on proximally sensed vis-NIR soil spectra and their calibrations
by: Ji, W., et al.
Published: (2015) -
Prediction of soil organic matter using a spatially constrained local partial least squares regression and the Chinese vis-NIR spectral library
by: Shi, Z., et al.
Published: (2015) -
Proximal spectral sensing in pedological assessments: vis–NIR spectra for soil classification based on weathering and pedogenesis
by: Terra, F., et al.
Published: (2018) -
Development of a national VNIR soil-spectral library for soil classification and prediction of organic matter concentrations
by: Shi, Z., et al.
Published: (2014) -
Improved estimates of organic carbon using proximally sensed vis-NIR spectra corrected by piecewise direct standardization
by: Ji, W., et al.
Published: (2015)