A5066817671- Soil Geostatistics and Mapping
- Geochemistry and Geologic Mapping
- Spectroscopy and Chemometric Analyses
- Soil Carbon and Nitrogen Dynamics
- Radioactivity and Radon Measurements
- Soil and Water Nutrient Dynamics
- Soil erosion and sediment transport
- Mineral Processing and Grinding
- Remote Sensing in Agriculture
- Agriculture, Soil, Plant Science
- Soil and Land Suitability Analysis
- Environmental Conservation and Management
- Data Quality and Management
- Plant Ecology and Soil Science
- Soil and Unsaturated Flow
- Agriculture, Land Use, Rural Development
- Indigenous Knowledge Systems and Agriculture
- Microplastics and Plastic Pollution
- Clay minerals and soil interactions
- Spectroscopy Techniques in Biomedical and Chemical Research
- Water Quality Monitoring and Analysis
- Gut microbiota and health
- Landslides and related hazards
- Microbial Community Ecology and Physiology
- Mycorrhizal Fungi and Plant Interactions
The University of Sydney
2016-2024
New South Wales Department of Primary Industries
2019-2024
Quantitative assessment of soil functions requires the characterization capability and condition. Mid-infrared (MIR) spectroscopy has been suggested as a viable alternative to wet chemistry method. However, extensive set properties that can be well predicted have yet explored. The USDA MIR spectral library contains approximately 45,000 samples with more than 119 properties. This unique dataset allows us establish which accurately measured. Memory-based learning (MBL) algorithm achieved...
Abstract. The number of samples used in the calibration data set affects quality generated predictive models using visible, near and shortwave infrared (VIS–NIR–SWIR) spectroscopy for soil attributes. Recently, convolutional neural network (CNN) has been regarded as a highly accurate model predicting properties on large database. However, it not yet ascertained how sample size should be CNN to effective. This paper investigates effect training accuracy deep learning machine models. It aims...
Human societies face six existential challenges to their sustainable development. These have been previously addressed by a myriad of concepts such as soil conservation, quality, and health. Yet, these, only security attempts integrate the concurrently through five biophysical socio-economic dimensions capacity, condition, capital, connectivity codification. In this paper, we highlight past existing concepts, make proposal for provisional assessment security. The addresses three roles soil:...
The use of visible-near infrared (vis-NIR) spectroscopy for rapid soil characterisation has gained a lot interest in recent times. Soil spectra absorbance from the visible-infrared range can be calibrated using regression models to predict set properties. accuracy these relies heavily on calibration set. optimum sample size and overall representativeness dataset could further improve model performance. However, there is no guideline which sampling method should used under different...
The soil security concept has been put forward to maintain and improve resources inter alia provide food, clean water, climate change mitigation adaptation, protect ecosystems. A provisional framework suggested indicators for the dimensions, a methodology achieve quantification. In this study, we illustrate function carbon storage two dimensions of capacity condition. consists (i) selection quantification small set condition, (ii) transformation indicator values unitless utility via...
Human societies face six existential challenges to their sustainable development. These have been previously addressed by a myriad of concepts such as soil conservation, quality, and health. Yet these only security attempts integrate the concurrently through five biophysical socio-economic dimensions capacity, condition, capital, connectivity codification. In this paper, we review past concepts, make proposal for provisional assessment which addresses functions, soils services threats soil....
Context Legacy data from prior studies enable preliminary analysis for soil security assessment which will inform future research questions. Aims This study aims to utilise the framework (SSAF) evaluate capacity of in fulfilling various roles and understand underlying drivers. Methods The entails: (1) defining a combination role(s) × dimension(s) identifying target indicator (a property that can be used particular role dimension combination) or surrogate (an alternative when there is not...
Abstract. The number of samples used in the calibration dataset affects quality generated predictive models using visible, near and shortwave infrared (VIS-NIR-SWIR) spectroscopy for soil attributes. Recently, convolutional neural network (CNN) is regarded as a highly accurate model predicting properties on large database, however it has not been ascertained yet how sample size should be CNN to effective. This paper aims at providing an estimate much are needed improve performance...
Abstract. With a higher demand for lithium (Li), better understanding of its concentration and spatial distribution is important to delineate potential anomalous areas. This study uses digital soil mapping framework combine data from recent geochemical surveys environmental covariates that affect formation predict map aqua-regia-extractable Li content across the 7.6×106 km2 area Australia. Catchment outlet sediment samples (i.e. soils formed on alluvial parent material) were collected by...
The crucial role of soil in global food production and its multifaceted contributions to ecosystem services underscore the need for a comprehensive evaluation framework. This study presents novel approach by integrating assessment functions, services, threats into unified metric which quantifies capital dimension is termed "soil management capital". To achieve this, we focused on three key roles: threat, evaluated pH regulation costs, factoring different buffering capacities...
Abstract Infrared spectroscopy is increasingly being adopted as a technology for soil analysis. However, laboratories worldwide are equipped with different infrared spectrometers, leading to variations that hinder the global application of spectroscopy. This study evaluates transferability spectra from dataset collected using four mid‐infrared spectrometers. To evaluate efficacy five spectral transfer functions (direct standardization, piecewise direct space transformation [SST], principal...
Citizen science is becoming a significant contribution to large scale soil surveys. TeaComposition citizen project introducing the Tea Bag Index (TBI) method students in Australia support research on decomposition using tea bags (green and rooibos). Soil microbial driven an essential function that releases organic matter (SOM) nutrients, i.e., ecosystem services. The TBI experiments enable citizens understand this process (increasing connectivity) information valuable for assessing urban...
Abstract. With a higher demand for lithium (Li), better understanding of its concentration and spatial distribution is important to delineate potential anomalous areas. This study uses digital soil mapping framework combine data from recent geochemical surveys environmental covariates predict map Li content across the 7.6 million km2 area Australia. Soil samples were collected by National Geochemical Survey Australia at total 1315 sites, with both top (0–10 cm depth) bottom (on average 60–80...