Proximal sensing for soil carbon accounting
Maintaining or increasing soil organic carbon (C) is vital for securing food production and for mitigating greenhouse gas (GHG) emissions, climate change, and land degradation. Some land management practices in cropping, grazing, horticultural, and mixed farming systems can be used to increase organ...
| Main Authors: | , |
|---|---|
| Format: | Journal Article |
| Published: |
Copernicus GmbH
2018
|
| Online Access: | http://hdl.handle.net/20.500.11937/74099 |
Similar Items
Applications of proximal sensing to soil science
by: Viscarra Rossel, Raphael
Published: (2014)
by: Viscarra Rossel, Raphael
Published: (2014)
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)
Sensing of soil bulk density for more accurate carbon accounting
by: Lobsey, C., et al.
Published: (2016)
by: Lobsey, C., et al.
Published: (2016)
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)
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)
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)
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)
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)
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)
Baseline estimates of soil organic carbon by proximal sensing: Comparing design-based, model-assisted and model-based inference
by: Viscarra Rossel, Raphael, et al.
Published: (2016)
by: Viscarra Rossel, Raphael, 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)
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)
Baseline map of organic carbon in Australian soil to support national carbon accounting and monitoring under climate change
by: Viscarra Rossel, Raphael, et al.
Published: (2014)
by: Viscarra Rossel, Raphael, et al.
Published: (2014)
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)
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)
Mapping gamma radiation and its uncertainty from weathering products in a Tasmanian landscape with a proximal sensor and random forest kriging
by: Viscarra Rossel, Raphael, et al.
Published: (2014)
by: Viscarra Rossel, Raphael, et al.
Published: (2014)
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)
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)
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)
Continental soil drivers of ammonium and nitrate in Australia
by: Lee, Juhwan, et al.
Published: (2018)
by: Lee, Juhwan, et al.
Published: (2018)
Continental-scale soil carbon composition and vulnerability modulated by regional environmental controls
by: Viscarra Rossel, Raphael, et al.
Published: (2019)
by: Viscarra Rossel, Raphael, et al.
Published: (2019)
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)
Australian net (1950s-1990) soil organic carbon erosion: Implications for CO2 emission and land-atmosphere modelling
by: Chappell, A., et al.
Published: (2014)
by: Chappell, A., et al.
Published: (2014)
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)
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)
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)
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)
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)
Assessing the response of soil carbon in Australia to changing inputs and climate using a consistent modelling framework
by: Lee, Juhwan, et al.
Published: (2021)
by: Lee, Juhwan, et al.
Published: (2021)
Multi-scale digital soil mapping with deep learning
by: Behrens, T., et al.
Published: (2018)
by: Behrens, T., et al.
Published: (2018)
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)
Curvelet transform to study scale-dependent anisotropic soil spatial variation
by: Biswas, A., et al.
Published: (2014)
by: Biswas, A., et al.
Published: (2014)
Prediction of soil attributes using the Chinese soil spectral library and standardized spectra recorded at field conditions
by: Ji, W., et al.
Published: (2016)
by: Ji, W., 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)
Soil and landscape grid of Australia
by: Grundy, M., et al.
Published: (2015)
by: Grundy, M., et al.
Published: (2015)
How much organic carbon could the soil store? The carbon sequestration potential of Australian soil
by: Viscarra Rossel, R.A., et al.
Published: (2024)
by: Viscarra Rossel, R.A., et al.
Published: (2024)
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)
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)
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)