A5080434288- Soil Geostatistics and Mapping
- Soil Carbon and Nitrogen Dynamics
- Geochemistry and Geologic Mapping
- Soil and Unsaturated Flow
- Soil erosion and sediment transport
- Soil Moisture and Remote Sensing
- Hydrology and Watershed Management Studies
- Atmospheric and Environmental Gas Dynamics
- Remote Sensing in Agriculture
- Flood Risk Assessment and Management
- Soil and Water Nutrient Dynamics
- Image Processing and 3D Reconstruction
- Water Quality Monitoring and Analysis
- Water Quality Monitoring Technologies
- Metabolomics and Mass Spectrometry Studies
- Climate change impacts on agriculture
- Research Data Management Practices
- Climate change and permafrost
- Hydrological Forecasting Using AI
- Planetary Science and Exploration
- Groundwater flow and contamination studies
- Fisheries and Aquaculture Studies
- Food Supply Chain Traceability
- Pasture and Agricultural Systems
- Groundwater and Watershed Analysis
Commonwealth Scientific and Industrial Research Organisation
2014-2024
Agriculture and Food
2018-2024
CSIRO Land and Water
2013-2018
University of Missouri
2016
James Cook University
2016
Ecosystem Sciences
2013
Information on the geographic variation in soil has traditionally been presented polygon (choropleth) maps at coarse scales. Now scientists, planners, managers and politicians want quantitative information functioning of finer resolutions; they it to plan better land use for agriculture, water supply mitigation climate change degradation desertification. The GlobalSoilMap project aims produce a grid attributes fine spatial resolution (approximately 100 m), six depths, purpose. This paper...
The Soil and Landscape Grid of Australia (SLGA) is the first continental version GlobalSoilMap concept nationally consistent, fine spatial resolution set continuous soil attributes with Australia-wide coverage. SLGA relies on digital mapping methods integrates historical data, new measurement spectroscopic sensors, novel modelling a web-service delivery architecture. provides soil, regolith landscape estimates at centre point 3 arcsecond grid cells (~90 × 90 m) across Australia. At each...
The importance of building/maintaining soil carbon, for health and CO2 mitigation, is increasing interest to a wide audience, including policymakers, NGOs land managers. Integral any approaches promote carbon sequestering practices in managed soils are reliable, accurate cost-effective means quantify C stock changes forecast responses different management, climate edaphic conditions. While technology accurately measure concentrations stocks has been use decades, many challenges routine,...
Digital Soil Mapping and Assessment (DSMA) has progressed from challenging traditional soil science paradigms, through small scale prototyping, to large-scale implementation capturing quantitative measures of attributes functions. This paper considers the future for DSMA in context a highly uncertain world where high-quality knowledge dynamics will be important responding challenges sustainability. Irrespective whether need is survival, increased productivity or broadening services provided...
Abstract We introduce a new dataset of high-resolution gridded total soil organic carbon content data produced at 30 m × and 90 resolutions across Australia. For each product resolution, the consists six maps along with an estimate uncertainty represented by 90% prediction interval. Soil were up to depth 200 cm, for intervals: 0–5 5–15 15–30 30–60 60–100 cm 100–200 cm. The obtained through interpolation 90,025 depth-harmonized measurements using quantile regression forest large set...
The measurement and tracking of changes in soil organic carbon (SOC) stocks its underpinning drivers are important greenhouse gas accounting trading schemes. While repeated direct a location over time is the 'gold standard' for SOC stock change estimation, this currently unfeasible at scale due to sample collection analysis costs. Here, we used data-driven, space–time digital mapping modelling approach (ST-DSM) coupled with an interpretive machine learning (IML) technique both predict...
The use of river basin modelling to guide mitigation non-point source pollution wetlands, estuaries and coastal waters has become widespread. To assess simulate the impacts alternate land or climate scenarios on washload requires techniques that represent sediment sources transport at time scales system response. Building mean-annual SedNet model, we propose a new D-SedNet model which constructs daily budgets fine sources, deposition for each link in network. Erosion rates (hillslope, gully...
Abstract. Soil organic carbon (SOC) is the largest terrestrial pool. SOC composed of a continuous set compounds with different chemical compositions, origins, and susceptibilities to decomposition that are commonly separated into pools characterised by responses anthropogenic environmental disturbance. Here we map contribution three fractions total content Australia's soils. The fractions, mineral-associated (MAOC), particulate (POC), pyrogenic (PyOC), represent composition distinct turnover...
Abstract Soil sodicity, acidity, and salinity are important soil constraints to wheat production in many cropping regions across Australia, the Australian agricultural industry needs accurate information on their economic impacts guide investment decisions remediation minimize productivity losses. We present a modelling framework that maps effects of yield, quantifying forfeited yields due specific at broad spatial scale assessing benefit managing these constraints. Of three considered...
Abstract. Soil moisture plays a critical role in land surface processes and as such there has been recent increase the number resolution of satellite soil observations development process models with ever increasing resolution. Despite these developments, validation calibration products limited because lack on corresponding scales. A recently developed mobile monitoring platform, known rover, offers opportunities to overcome this scale issue. This paper describes methods, results testing...
Malone and Searle (2021) described a new approach to convert field measured soil texture categories into quantitative estimates of the proportion clay, silt sand fractions. Converted data can seamlessly integrate with laboratory digital mapping workflow. Here, we describe updating Australian national coverages content. The approach, based on machine learning, predicts each fraction at 90 m grid cell resolution, depths 0–5 cm, 5–15 15–30 30–60 60–100 cm 100–200 cm. accommodates uncertainty in...
Australia has advanced the science and application of Digital Soil Mapping (DSM). Over past decade, DSM in evolved from being purely research focused to become 'operational', where it is embedded into many soil-agency land resource assessment programs around country. This resulted a series 'drivers', such as an increased need for better quality more complete soil information, 'enablers', existing information systems, covariate development, serendipitous project funding, collaborations,...
Context The research explores the benefits of real time tracking soil moisture for various land management contexts and importance spatio-temporal modelling mapping to gain clear visual understanding fluxes across a farm. Aims This aims outline key processes required building an operational on-farm monitoring system where product is highly granular daily maps depicting variations temporally, spatially vertically. Methods We describe capacitance probe installation, data collection...
Better understanding the spatial distribution of soil organic carbon (SOC) stocks is important for management and enhancement soils production environmental outcomes. We have applied digital mapping (DSM) techniques to combine soil-site datasets from legacy recent sources, covariates expert pedological knowledge predict map SOC in top 0.3 m, their uncertainty, across South Australia’s agricultural zone. In achieving this, we aimed maximise use locally sourced not previously considered...
Soil texture (% sand, silt and clay sized particles) is one of the most important soil characteristics affecting function soils. To better understand behaviour soils, reliable spatial estimates need to be available. Digital mapping has been an enabler in delivering this sort information. Delivered as two connected pieces, we present new efforts update maps for Australia (Version 1 was delivered 2015). The main distinguishing enhancement merging field descriptions with traditional laboratory...
Context Defining soil organic carbon (SOC) ‘potential’ storage, underpins the economic feasibility of sequestration; however, storage is not quantifiable using historical and current empirical data. We propose a framework to define ‘attainable’ SOC that varies with properties, environmental conditions management practices. Aims Within fine fraction, we quantified additional capacity fraction attainable deficit (FFSOC_Attainable_Def) by difference between (FFSOC_Attainable) actual SOC....