ORCID Profile
0000-0002-6168-5387
Current Organisations
University of New South Wales - Randwick Campus
,
Western Sydney University
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Environmental Science and Management | Photogrammetry And Remote Sensing | Environmental Management And Rehabilitation | Zoology Not Elsewhere Classified | Crop And Pasture Production Not Elsewhere Classified | Geomatic Engineering | Land Capability And Soil Degradation | Natural Resource Management | Pests, Health And Diseases |
ANZSRC Socio-Economic Objective (SEO)
Integrated (ecosystem) assessment and management | Field crops | Horticultural crops | Living resources (flora and fauna) | Control of pests and exotic species | Living resources (flora and fauna) | Integrated (ecosystem) assessment and management
Related Links
Publications
Comparison of alternative strategies for invasive species distribution modeling
Publisher: Elsevier BV
Date: 09-2010
Vegetation indices derived from high-resolution airborne videography for precision crop management
Publisher: Informa UK Limited
Date: 2003
Towards a Deep-Learning-Based Framework of Sentinel-2 Imagery for Automated Active Fire Detection
Publisher: MDPI AG
Date: 26-11-2021
DOI: 10.3390/RS13234790
Abstract: This paper proposes an automated active fire detection framework using Sentinel-2 imagery. The framework is made up of three basic parts including data collection and preprocessing, deep-learning-based active fire detection, and final product generation modules. The active fire detection module is developed on a specifically designed dual-domain channel-position attention (DCPA)+HRNetV2 model and a dataset with semi-manually annotated active fire s les is constructed over wildfires that commenced on the east coast of Australia and the west coast of the United States in 2019–2020 for the training process. This dataset can be used as a benchmark for other deep-learning-based algorithms to improve active fire detection accuracy. The performance of active fire detection is evaluated regarding the detection accuracy of deep-learning-based models and the processing efficiency of the whole framework. Results indicate that the DCPA and HRNetV2 combination surpasses DeepLabV3 and HRNetV2 models for active fire detection. In addition, the automated framework can deliver active fire detection results of Sentinel-2 inputs with coverage of about 12,000 km2 (including data download) in less than 6 min, where average intersections over union (IoUs) of 70.4% and 71.9% were achieved in tests over Australia and the United States, respectively. Concepts in this framework can be further applied to other remote sensing sensors with data acquisitions in SWIR-NIR-Red ranges and can serve as a powerful tool to deal with large volumes of high-resolution data used in future fire monitoring systems and as a cost-efficient resource in support of governments and fire service agencies that need timely, optimized firefighting plans.
The Performance of Fuzzy Operators on Fuzzy Classification of Urban Land Covers
Publisher: American Society for Photogrammetry and Remote Sensing
Date: 2005
Advancing Environmental Mainstreaming in the Caribbean Region: The Role of Regional Institutions for Overcoming Barriers and Capacity Gaps
Publisher: MDPI AG
Date: 14-10-2015
DOI: 10.3390/SU71013836
Agricultural Applications of High-Resolution Digital Multispectral Imagery
Publisher: American Society for Photogrammetry and Remote Sensing
Date: 05-2005
Increasing Electric Vehicle Uptake by Updating Public Policies to Shift Attitudes and Perceptions: Case Study of New Zealand
Publisher: MDPI AG
Date: 18-05-2021
DOI: 10.3390/EN14102920
Abstract: Actions to reduce greenhouse gas emissions are required from all actors. Adopting plug-in electric vehicles (EV) would reduce light motor vehicle travel emissions, a significant and rising emissions source. To encourage EV uptake, many governments have implemented policies which may be less effective than desired. Using New Zealand as a case study, we surveyed private motorists. The results show that consumers are heterogeneous, with varying car-buying motivations, perceptions, attitudes to EVs and awareness of policies. Uniquely, we segmented motorists into four attitudinal groups to ascertain characteristics potentially affecting EV readiness to provide evidence to improve policies and aid social marketing. Our results show the next-most-ready to buy EVs are early mainstream consumers—designated the EV Positives—who were most concerned about vehicle range, perceptions of EV expense, charging-related inconvenience and the unknown value proposition of batteries, and were relatively unaware of incentives compared to EV Owners. The EV Positives favored incentives designed to effect purchase price reductions and increase nation-wide fast-charger deployment. To increase awareness of EVs and shift perceptions of EV expense and inconvenience, we suggest policies that potentially increase EV adoption rates and suggest reframing the language to appeal to EV Positives through information programs. Increasing EV procurement by organizations could increase opportunities for positive information dissemination via employees.
Spatial and temporal rates and patterns of mesquite (Prosopis species) invasion in Western Australia
Publisher: Elsevier BV
Date: 03-2008
Four-Dimensional Visualisation of Smog in Perth
Publisher: Informa UK Limited
Date: 12-1998
Fuzzy classification of JERS-1 SAR data: An evaluation of its performance for soil salinity mapping
Publisher: Elsevier BV
Date: 08-1998
From Importing Innovations to Co-Producing Them: Transdisciplinary Approaches to the Development of Online Land Management Tools
Publisher: Carleton University
Date: 31-08-2018
Automated mapping of burned areas in semi-arid ecosystems using modis time-series imagery
Publisher: Copernicus GmbH
Date: 29-04-2015
DOI: 10.5194/ISPRSARCHIVES-XL-7-W3-811-2015
Abstract: Abstract. Understanding spatial and temporal patterns of burned areas at regional scales, provides a long-term perspective of fire processes and its effects on ecosystems and vegetation recovery patterns, and it is a key factor to design prevention and post-fire restoration plans and strategies. Standard satellite burned area and active fire products derived from the 500-m MODIS and SPOT are avail - able to this end. However, prior research caution on the use of these global-scale products for regional and sub-regional applica - tions. Consequently, we propose a novel algorithm for automated identification and mapping of burned areas at regional scale in semi-arid shrublands. The algorithm uses a set of the Normalized Burned Ratio Index products derived from MODIS time series using a two-phased cycle, it firstly detects potentially burned pixels while keeping a low commission error (false detection of burned areas), and subsequently labels them as seed patches. Region growing image segmentation algorithms are applied to the seed patches in the second-phase, to define the perimeter of fire affected areas while decreasing omission errors (missing real burned areas). Independently-derived Landsat ETM+ burned-area reference data was used for validation purposes. The correlation between the size of burnt areas detected by the global fire products and independently-derived Landsat reference data ranged from R2 = 0.01 - 0.28, while our algorithm performed showed a stronger correlation coefficient (R2 = 0.96). Our findings confirm prior research calling for caution when using the global fire products locally or regionally.
The role of electric vehicles in decarbonising Australia’s road transport sector: modelling ambitious scenarios
Publisher: Elsevier BV
Date: 09-2022
Presentation
Publisher: Springer International Publishing
Date: 2015
Geomorphic Landscape Approach to Mapping Soil Degradation and Hazard Prediction in Semi-arid Environments: Salinization in the Cochabamba Valleys, Bolivia
Publisher: Springer International Publishing
Date: 2015
Geomorphometric Landscape Analysis of Agricultural Areas and Rangelands of Western Australia
Publisher: Springer International Publishing
Date: 2015
Land Cover Mapping using Digital Earth Australia
Publisher: MDPI AG
Date: 11-2019
DOI: 10.3390/DATA4040143
Abstract: This study establishes the use of the Earth Observation Data for Ecosystem Monitoring (EODESM) to generate land cover and change classifications based on the United Nations Food and Agriculture Organisation (FAO) Land Cover Classification System (LCCS) and environmental variables (EVs) available within, or accessible from, Geoscience Australia’s (GA) Digital Earth Australia (DEA). Classifications representing the LCCS Level 3 taxonomy (8 categories representing semi-(natural) and/or cultivated/managed vegetation or natural or artificial bare or water bodies) were generated for two time periods and across four test sites located in the Australian states of Queensland and New South Wales. This was achieved by progressively and hierarchically combining existing time-static layers relating to (a) the extent of artificial surfaces (urban, water) and agriculture and (b) annual summaries of EVs relating to the extent of vegetation (fractional cover) and water (hydroperiod, intertidal area, mangroves) generated through DEA. More detailed classifications that integrated information on, for ex le, forest structure (based on vegetation cover (%) and height (m) time-static for 2009) and hydroperiod (months), were subsequently produced for each time-step. The overall accuracies of the land cover classifications were dependent upon those reported for the in idual input layers, with these ranging from 80% (for cultivated, urban and artificial water) to over 95% (for hydroperiod and fractional cover). The changes identified include mangrove dieback in the southeastern Gulf of Carpentaria and reduced dam water levels and an associated expansion of vegetation in Lake Ross, Burdekin. The extent of detected changes corresponded with those observed using time-series of RapidEye data (2014 to 2016 for the Gulf of Carpentaria) and Google Earth imagery (2009–2016 for Lake Ross). This use case demonstrates the capacity and a conceptual framework to implement EODESM within DEA and provides countries using the Open Data Cube (ODC) environment with the opportunity to routinely generate land cover maps from Landsat or Sentinel-1/2 data, at least annually, using a consistent and internationally recognised taxonomy.
Estimating Erosion Surface Features by Linear Mixture Modeling
Publisher: Elsevier BV
Date: 06-1998
Remote Sensing of Soil Salinization
Publisher: CRC Press
Date: 12-12-2008
Spatial discrimination of salt- and sodium-affected soil surfaces
Publisher: Informa UK Limited
Date: 08-1997
Challenges, solutions and research priorities for sustainable rangelands
Publisher: CSIRO Publishing
Date: 2020
DOI: 10.1071/RJ20059
Abstract: Australia’s rangeland communities, industries, and environment are under increasing pressures from anthropogenic activities and global changes more broadly. We conducted a horizon scan to identify and prioritise key challenges facing Australian rangelands and their communities, and outline possible avenues to address these challenges, with a particular focus on research priorities. We surveyed participants of the Australian Rangeland Society 20th Biennial Conference, held in Canberra in September 2019, before the conference and in interactive workshops during the conference, in order to identify key challenges, potential solutions, and research priorities. The feedback was broadly grouped into six themes associated with supporting local communities, managing natural capital, climate variability and change, traditional knowledge, governance, and research and development. Each theme had several sub-themes and potential solutions to ensure positive, long-term outcomes for the rangelands. The survey responses made it clear that supporting ‘resilient and sustainable rangelands that provide cultural, societal, environmental and economic outcomes simultaneously’ is of great value to stakeholders. The synthesis of survey responses combined with expert knowledge highlighted that sustaining local communities in the long term will require that the inherent social, cultural and natural capital of rangelands are managed sustainably, particularly in light of current and projected variability in climate. Establishment of guidelines and approaches to address these challenges will benefit from: (i) an increased recognition of the value and contributions of traditional knowledge and practices (ii) development of better governance that is guided by and benefits local stakeholders and (iii) more funding to conduct and implement strong research and development activities, with research focused on addressing critical knowledge gaps as identified by the local stakeholders. This requires strong governance with legislation and policies that work for the rangelands. We provide a framework that indicates the key knowledge gaps and how innovations may be implemented and scaled out, up and deep to achieve the resilience of Australia’s rangelands. The same principles could be adapted to address challenges in rangelands on other continents, with similar beneficial outcomes.
FUERO: Foundations of a fuzzy exploratory model for soil erosion hazard prediction
Publisher: Elsevier BV
Date: 06-2005
Commentary: on the under-valuing of Australia’s expertise in drylands research and practice globally
Publisher: CSIRO Publishing
Date: 2020
DOI: 10.1071/RJ20055
Abstract: Global drylands are a significant driver of earth system processes that affect the world’s common resources such as the climate. Their peoples are also among the first to be widely affected by global changes such as land degradation and climate change. Yet drylands are a source of many social and technical innovations, globally, as well as in Australia. As a major developed dryland nation, Australia has previously played a major role in extending these innovations to the rest of the world. The nation has reaped reputational and commercial benefits through major research and practice contributions to dryland agriculture, water management and governance, remote area services, indigenous partnerships, dryland monitoring systems, and ‘desert knowledge’ innovation. Australian researchers continue to contribute to various relevant international processes, yet recognition and support for this within Australia has dropped off markedly in recent years. We analyse the Australian government’s investment in research and in overseas aid for drylands over the last two decades, and explore trends in government’s active involvement in major international processes related to land. These trends are short-sighted, overlooking potential economic benefits for Australian enterprises, and undermining Australia’s stance and scientific leadership in dryland systems globally. In this commentary, we argue that it is time for the trends to be reversed, as this is an area of comparative advantage for Australian diplomacy with significant returns on investment for Australia, both direct and indirect, especially when most emerging economies contain substantial drylands. We identify four major pathways to obtaining benefits from science diplomacy, and four interrelated actions within Australia to enable these – to place a higher emphasis on science diplomacy, to re-forge a bipartisan recognition of Australian drylands expertise, to establish a dedicated Dryland Information Hub, and to create a network of relevant science and technology advisors.
Joint Use of Optical and Radar Remote Sensing Data for Characterizing the 2020 Aniangzhai Landslide Post-Failure Displacement
Publisher: MDPI AG
Date: 07-01-2023
DOI: 10.3390/RS15020369
Abstract: The ancient Aniangzhai (ANZ) landslide in Danba County, Sichuan Province of southwest China was reactivated after a series of complex hazard events that occurred in June 2020. Since then, and until June 2021, emergency engineering work was carried out to prevent the further failure of the reactivated landslide. This study investigates the potential of joint use of time series Interferometric Synthetic Aperture Radar (InSAR) and optical pixel offset tracking (POT) to assess deformation characteristic and spatial-temporal evolution of the reactivated ANZ landslide during the post-failure stage. The relationships between sun illumination differences, temporal baseline of correlation pairs and the uncertainties were deeply explored. Surface deformation along the line-of-sight (LoS) direction was retrieved by the time series InSAR processing with the two Sentinel-1 datasets, revealing a maximum deformation rate up to 190 mm/year. The large horizontal displacements were also detected from the POT processing using 11 optical images acquired by the PlanetScope satellite (3 m spatial resolution), showing a significant increase of about 24 m between 24 June 2020 and 11 June 2021. The time series analysis from the InSAR and optical POT results revealed that the reactivated ANZ landslide body is gradually slowing down to a steady deformation status since its occurrence in August 2020, indicating the effectiveness of engineering work on the prevention of further landslide. A slight acceleration was detected from both InSAR and optical POT time series analysis between May 2021 and June 2021, which could be caused by the increased rainfall in May 2021.
Assessing temporal and spatial changes of salinity using fuzzy logic, remote sensing and GIS. Foundations of an expert system
Publisher: Elsevier BV
Date: 10-2001
Post-2020 biodiversity framework challenged by cropland expansion in protected areas
Publisher: Springer Science and Business Media LLC
Date: 23-03-2023
Operational continental-scale land cover mapping of Australia using the Open Data Cube
Publisher: Informa UK Limited
Date: 14-10-2022
Change detection assessment using fuzzy sets and remotely sensed data: an application of topographic map revision
Publisher: Elsevier BV
Date: 09-1999
Climate change vulnerability, impact and adaptation assessment
Publisher: Emerald
Date: 11-11-2014
DOI: 10.1108/IJCCSM-06-2013-0076
Abstract: – This paper aims to present a new framework for climate change vulnerability, impact and adaptation (VIA) assessment. Greater attention has been given in recent years to the importance of conducting climate change VIA assessment prior to, or as part of, climate change adaptation strategies and projects. A VIA assessment provides decision-makers and project developers with information on the location and causes of vulnerability based on local knowledge and scientific data, so that effective adaptation responses that are targeted and site-specific can be designed. A challenge facing practitioners in this field is the lack of clear methodologies or agreed frameworks on how to conduct a VIA assessment. – This paper presents a VIA methodological framework that has been developed through three sub-regional pilot assessments on vulnerability and impacts of climate change, as part of the Regional Gateway for Technology Transfer and Action on Climate Change in Latin America and The Caribbean. – While it is recognized that methodologies and tools may differ depending on the unique local context of the study area and sector under analysis, there are key components that every assessment needs to consider. – The framework proposed can assist practitioners to deliver outputs from VIAs that are holistic, and provide the most appropriate type of information required for effective, context-specific adaptation responses.
Assessing the spatial extent of dryland salinity through fuzzy modeling
Publisher: Elsevier BV
Date: 03-2006
Quality assessment of open access Digital Terrain Models to estimate topographic attributes relevant to soil vertic properties prediction. A case study of Entre Rios province (Argentina)
Publisher: Copernicus GmbH
Date: 27-03-2022
DOI: 10.5194/EGUSPHERE-EGU22-3323
Abstract: & & Digital terrain models (DTM) allow deriving topographic attributes that help predict soil properties within a landscape. A variety of DTMs, digital elevation models (DEMs), and digital surface models (DSM) derived from Earth Observation (EO) data are freely accessible via Internet for download and use: MERIT-DEM, SRTM v3 (SRTM Plus), GDEM v3 (ASTGTM), AW3D30 v3, Copernicus GLO-30, NASADEM HGT v1, SRTMGL1 up-s led (ASF DAAC) and MDE-Ar v2.& However, information on their accuracy to represent terrain surfaces (particularly topographic attributes) can vary according to regions and geographies, which can impact soil cartography accuracy at sub-regional and catchment levels. This research evaluates the accuracy of the models mentioned above for estimating topographic attributes relevant to the cartography of soil vertic properties in the northern part of the Entre R& #237 os province, Argentina. To this end, east-west and north-south transects were used to collect 126 evenly distributed ground control points. The root mean squared error (RMSE) and symmetric mean absolute percentage error (sMAPE) served as the basis for comparing the performance of the terrain models. The sMAPE provides a percentage (or relative) error, facilitating a comparison of the accuracy with which each elevation value is predicted (in addition to the average error expressed by the RMSE value).& & & & The results show that out of the 8 models compared, the Copernicus GLO-30 offers the highest accuracy (RMSE=1.36 sMAPE=1.5%) for representing terrain surface features in the province of Entre Rios, whereas the highest RMSE (7.79) and sMAPE (11.2%) corresponded to the ASTGTM v3. The paper describes a simplified approach for extracting a digital terrain model (DTM) from the digital elevation information provided in the Copernicus GLO-30. Grid-spline interpolation and multilevel b-spline interpolation (from SAGA open GIS software) were applied to remove natural and built features. The output DTM was used to calculate plan and profile curvature index, multi-scale topographic position index (TPI), multiresolution index of valley bottom flatness (MrVBF), terrain ruggedness index (TRI), and topographic wetness index (TWI) that are important in modelling relationships between geomorphology, vertic soils, and surface hydrology in landscapes characterized by catenary sequences of Mollisols-Alfisols-Vertisols. A higher TRI was associated to increased local relief heterogeneity. Higher values of the MrVBF relate to broad flat valley bottoms and more extensive alluvial zones often confined between the slightly rolling and undulating plains, and peneplain landscapes. Lastly, the TWI was used to map potential areas for surface water accumulation that field verifications showed as corresponding with the location of vertic soils.& & & & Integrating DTM-derived topographic attributes with other ancillary data enabled mapping the spatial distribution of soil vertic properties over the study area and associating their occurrence to specific landscape zones (ie. close to drainage networks). The approach and findings are relevant for showing where and how the landscapes of the Entre Rios province are affected by a combined impact of human activities (intensive agriculture) and a hydrographic network that boosts the processes of soil erosion and contaminant transport.& &
Remote sensing of landslides: An analysis of the potential contribution to geo-spatial systems for hazard assessment in mountainous environments
Publisher: Elsevier BV
Date: 10-2005
Soil Salinity and Salinization Hazard
Publisher: CRC Press
Date: 12-12-2008
Remote Sensing of Land Degradation: Experiences from Latin America and the Caribbean
Publisher: Wiley
Date: 2010
DOI: 10.2134/JEQ2009.0127
Abstract: Land degradation caused by deforestation, overgrazing, and inappropriate irrigation practices affects about 16% of Latin America and the Caribbean (LAC). This paper addresses issues related to the application of remote sensing technologies for the identification and mapping of land degradation features, with special attention to the LAC region. The contribution of remote sensing to mapping land degradation is analyzed from the compilation of a large set of research papers published between the 1980s and 2009, dealing with water and wind erosion, salinization, and changes of vegetation cover. The analysis undertaken found that Landsat series (MSS, TM, ETM+) are the most commonly used data source (49% of the papers report their use), followed by aerial photographs (39%), and microwave sensing (ERS, JERS-1, Radarsat) (27%). About 43% of the works analyzed use multi-scale, multi-sensor, multi-spectral approaches for mapping degraded areas, with a combination of visual interpretation and advanced image processing techniques. The use of more expensive hyperspectral and/or very high spatial resolution sensors like AVIRIS, Hyperion, SPOT-5, and IKONOS tends to be limited to small surface areas. The key issue of indicators that can directly or indirectly help recognize land degradation features in the visible, infrared, and microwave regions of the electromagnetic spectrum are discussed. Factors considered when selecting indicators for establishing land degradation baselines include, among others, the mapping scale, the spectral characteristics of the sensors, and the time of image acquisition. The validation methods used to assess the accuracy of maps produced with satellite data are discussed as well.
Synthesis and Conclusions
Publisher: Springer International Publishing
Date: 2015
Modelling soil erosion hazard by using a fuzzy knowledge-based approach
Publisher: IEEE
Testing the performance of spatial interpolation techniques for mapping soil properties
Publisher: Elsevier BV
Date: 02-2006
A remote sensing and fuzzy multi-objective linear programming approach to model impact of land management decisions on ecosystem services of rangelands
Publisher: IEEE
Date: 07-2015
Mapping and modelling mass movements and gullies in mountainous areas using remote sensing and GIS techniques
Publisher: Elsevier BV
Date: 2001
Radar Remote Sensing of Wind‐Driven Land Degradation Processes in Northeastern Patagonia
Publisher: Wiley
Date: 2010
DOI: 10.2134/JEQ2009.0071
Abstract: Wind-driven land degradation negatively impacts on rangeland production and infrastructure in the Valdes Peninsula, northeastern Patagonia. The Valdes Peninsula has the most noticeable dunefields of the Patagonian drylands. Wind erosion has been assessed at different scales in this region, but often with limited data. In general, terrain features caused by wind activity are better discriminated by active microwaves than by sensors operating in the visible and infrared regions of the electromagnetic spectrum. This paper aims to analyze wind-driven land degradation processes that control the radar backscatter observed in different sources of radar imagery. We used subsets derived from SIR-C, ERS-1 and 2, ENVISAT ASAR, RADARSAT-1, and ALOS PALSAR data. The visibility of aeolian features on radar images is mostly a function of wavelength, polarization, and incidence angle. Stabilized sand deposits are clearly observed in radar images, with defined edges but also signals of ongoing wind erosion. One of the most conspicuous features corresponds to old track sand dunes, a mixture of active and inactive barchanoid ridges and parabolic dunes. This is a clear ex le of deactivation of migrating dunes under the influence of vegetation. The L-band data reveal details of these sand ridges, whereas the C-band data only allow detecting a few of the larger tracks. The results of this study enable us to make recommendations about the utility of some radar sensor configurations for wind-driven land degradation reconnaissance in mid-latitude regions.
Linking Changes in Land Cover and Land Use of the Lower Mekong Basin to Instream Nitrate and Total Suspended Solids Variations
Publisher: MDPI AG
Date: 08-04-2020
DOI: 10.3390/SU12072992
Abstract: Population growth and economic development are driving changes in land use/land cover (LULC) of the transboundary Lower Mekong River Basin (LMB), posing a serious threat to the integrity of the river system. Using data collected on a monthly basis over 30 years (1985–2015) at 14 stations located along the Lower Mekong river, this study explores whether spatiotemporal relationships exist between LULC changes and instream concentrations of total suspended solids (TSS) and nitrate—as proxies of water quality. The results show seasonal influences where temporal patterns of instream TSS and nitrate concentrations mirror patterns detected for discharge. Changes in LULC influenced instream TSS and nitrate levels differently over time and space. The seasonal Mann–Kendall (SMK) confirmed significant reduction of instream TSS concentrations at six stations (p 0.05), while nitrate levels increased at five stations (p 0.05), predominantly in stations located in the upper section of the basin where forest areas and mountainous topography dominate the landscape. Temporal correlation analyses point to the conversion of grassland (r = −0.61, p 0.01) to paddy fields (r = 0.63, p 0.01) and urban areas (r = 0.44, p 0.05) as the changes in LULC that mostly impact instream nitrate contents. The reduction of TSS appears influenced by increased forest land cover (r = −0.72, p 0.01) and by the development and operation of hydropower projects in the upper Mekong River. Spatial correlation analyses showed positive associations between forest land cover and instream concentrations of TSS (r = 0.64, p = 0.01) and nitrate (r = 0.54, p 0.05), indicating that this type of LULC was heavily disturbed and harvested, resulting in soil erosion and runoff of nitrate rich sediment during the Wet season. Our results show that enhanced understanding of how LULC changes influence instream water quality at spatial and temporal scales is vital for assessing potential impacts of future land and water resource development on freshwater resources of the LMB.
Spectral unmixing and mapping of surface features related to soil erosion
Publisher: IEEE
Understanding Dynamics of Mangrove Forest on Protected Areas of Hainan Island, China: 30 Years of Evidence from Remote Sensing
Publisher: MDPI AG
Date: 27-09-2019
DOI: 10.3390/SU11195356
Abstract: Implementation of the UN Sustainable Development Goals requires countries to determine targets for the protection, conservation, or restoration of coastal ecosystems such as mangrove forests by 2030. Satellite remote sensing provides historical and current data on the distribution and dynamics of mangrove forests, essential baseline data that are needed to design suitable policy interventions. In this study, Landsat time series were used to map trends and dynamics of mangrove change over a time span of 30 years (1987–2017) in protected areas of Hainan Island (China). A support vector machine algorithm was combined with visual interpretation of imagery and result showed alternating periods of expansion and loss of mangrove forest at seven selected sites on Hainan Island. Over this period, there was a net decrease in mangrove area of 9.3%, with anthropic activities such as land conversion for aquaculture, wastewater disposal and discharge, and tourism development appearing to be the likely drivers of this decline in cover. Long-term studies examining trends in land use cover change coupled with assessments of drivers of loss or gain enable the development of evidence based on policy and legislation. This forms the basis of financing of natural reserves of management and institutional capacity building, and facilitates public awareness and participation, including co-management.
Fractal dimension of multiscale and multisource remote sensing data for characterising spatial complexity of urban landscapes
Publisher: IEEE
Date: 2003
Erratum: Assessing temporal and spatial changes of salinity using fuzzy logic, remote sensing and gis. Foundations of an expert system (Ecological Modelling (2001) 144 (163-179) pii S0304380001003714)
Publisher: Elsevier BV
Date: 04-2002
A Comparison of Inverse Distance Weighting and Ordinary Kriging for Characterising within-paddock Spatial Variability of Soil Properties in Western Australia
Publisher: Informa UK Limited
Date: 06-2003
Synergistic use of Landsat and Hyperion imageries for ecological site classification in rangelands
Publisher: IEEE
Date: 06-2010
Understanding the Social Licence of Carbon Farming in the Australian Rangelands
Publisher: MDPI AG
Date: 24-12-2021
DOI: 10.3390/SU14010174
Abstract: Carbon farming has expanded in Australia’s rangelands over recent years, incentivised under the Australian Government’s Emissions Reduction Fund. While this has largely been driven by economic benefits for landholders, the long-term viability of the carbon farming industry depends on its ability to obtain and maintain a social licence to operate in affected communities. Using a combination of survey, interview and focus group methods, involving key stakeholders in far-western New South Wales (NSW), this study reveals that the greatest threat to the social licence of carbon farming is the lack of confidence in governance related to policy complexity and uncertainty. Procedural fairness is a relative strength because of the involvement of trusted community members, and the trust-building strategies employed by the aggregators who recruit landholders to carbon farming. Perceptions of distributional fairness are strengthened by the benefits beginning to flow through rangeland communities, but are weakened by concerns around the equity of eligibility and the land management rules. A focus on participatory policy development, aligning rules with local values and local-scale trust building, is required in order to enhance the social licence for carbon farming in the NSW rangelands.
Geomorphometric landscape analysis using a semi-automated GIS-approach
Publisher: Elsevier BV
Date: 2008
Electric Vehicle Uptake: Understanding the Print Media’s Role in Changing Attitudes and Perceptions
Publisher: MDPI AG
Date: 30-09-2021
DOI: 10.3390/WEVJ12040174
Abstract: Passenger motor vehicle transport is a significant and growing emissions source contributing to climate change. Switching from internal combustion engines to electric vehicles (EV) would significantly reduce most countries’ emissions, but for many consumers perceived barriers deter EV adoption. Consequently, government policies designed to incentivise a transition to EVs could benefit from consideration of the utility of communication channels such as print media for influencing consumer behaviour. This research explores the role that media and other communication channels writing about EVs play in consumer perceptions and awareness of government-initiated programs and policies to incentivise EV market transition. Using mixed methods of a media review and New Zealand car buyer surveys (questionnaires, interviews) (n = 893), we identified car buyers’ media use to update knowledge about cars, perceptions about EVs, and likelihood to buy, and tested awareness and popularity of incentives. We derive recommendations for policy improvements to accelerate EV uptake, including a significant role for the print media to disseminate relevant information, increase awareness of policies, and shift perceptions about EVs. We argue that social marketing programs should be enhanced to overcome lack of knowledge and misinformation, focusing on the market segment next most likely to buy EVs.
Carbon farming for resilient rangelands: People, paddocks and policy
Publisher: CSIRO Publishing
Date: 2020
DOI: 10.1071/RJ20034
Abstract: Carbon farming is a new land use option over extensive areas of the Australian rangelands. This land use change has been promoted by government incentives to mitigate climate change, with most of Australia’s land sector abatement to date being delivered in rangelands. Aside from these mitigation benefits, carbon farming has also demonstrated potential co-benefits that enhance socio-ecological resilience by ersifying land uses and income streams, providing opportunities for sustainable land management to enhance soil and vegetation and creating opportunities for self-organisation and collaboration. However, factors such as policy uncertainty, perceived loss of future land use flexibility and the potential for carbon farming eligibility to create social isions may negatively affect resilience. In this paper we weigh up these risks, opportunities and co-benefits and propose indicators for measuring the impact of carbon farming on the resilience of rangeland systems. A set of land policy principles for enhancing resilience through carbon farming are also identified.
Evaluating the information content of JERS-1 SAR and Landsat TM data for discrimination of soil erosion features
Publisher: Elsevier BV
Date: 06-1998
Ecological site classification of semiarid rangelands: Synergistic use of Landsat and Hyperion imagery
Publisher: Elsevier BV
Date: 06-2014
Geopedology
Publisher: Springer International Publishing
Date: 2016
Fuzzy supervised classification of JERS-1 SAR data for soil salinity studies
Publisher: IEEE
A globally relevant change taxonomy and evidence-based change framework for land monitoring.
Publisher: Wiley
Date: 09-2022
DOI: 10.1111/GCB.16346
Abstract: A globally relevant and standardized taxonomy and framework for consistently describing land cover change based on evidence is presented, which makes use of structured land cover taxonomies and is underpinned by the Driver-Pressure-State-Impact-Response (DPSIR) framework. The Global Change Taxonomy currently lists 246 classes based on the notation 'impact (pressure)', with this encompassing the consequence of observed change and associated reason(s), and uses scale-independent terms that factor in time. Evidence for different impacts is gathered through temporal comparison (e.g., days, decades apart) of land cover classes constructed and described from Environmental Descriptors (EDs state indicators) with pre-defined measurement units (e.g., m, %) or categories (e.g., species type). Evidence for pressures, whether abiotic, biotic or human-influenced, is similarly accumulated, but EDs often differ from those used to determine impacts. Each impact and pressure term is defined separately, allowing flexible combination into 'impact (pressure)' categories, and all are listed in an openly accessible glossary to ensure consistent use and common understanding. The taxonomy and framework are globally relevant and can reference EDs quantified on the ground, retrieved/classified remotely (from ground-based, airborne or spaceborne sensors) or predicted through modelling. By providing capacity to more consistently describe change processes-including land degradation, desertification and ecosystem restoration-the overall framework addresses a wide and erse range of local to international needs including those relevant to policy, socioeconomics and land management. Actions in response to impacts and pressures and monitoring towards targets are also supported to assist future planning, including impact mitigation actions.
Improving the discrimination of vegetation and landform patterns in sandy rangelands: a synergistic approach
Publisher: Informa UK Limited
Date: 05-2009
Review of Remote Sensing-Based Methods to Assess Soil Salinity
Publisher: CRC Press
Date: 12-12-2008
Remote sensing of soil salinity: Potentials and constraints
Publisher: Elsevier BV
Date: 04-2003
Contribution of Open Access Global SAR Mosaics to Soil Survey Programs at Regional Level: A Case Study in North-Eastern Patagonia
Publisher: Springer International Publishing
Date: 2016
Assessing the Impact of Science in the Implementation of the United Nations Convention to Combat Desertification
Publisher: MDPI AG
Date: 12-04-2022
DOI: 10.3390/LAND11040568
Abstract: In 2013, the United Nations Convention to Combat Desertification (UNCCD) established a science–policy interface (SPI) to address Parties’ need for demand-driven, timely, interdisciplinary science and technical knowledge to tackle problems of desertification, land degradation and drought. Since then, a comprehensive assessment of the SPI’s impacts on policy decision-making has been lacking, despite perceptions that the SPI is vital to the Convention’s success. Addressing this gap, this paper evaluates whether the SPI and its processes and outputs have provided the necessary scientific and technological knowledge and advice to Parties to support timely, evidence-informed decision-making. It applies an analytical framework to assess performance metrics, considering associated documents and evidence of societal relevance and social quality. The findings indicate that SPI outputs have improved implementation of the UNCCD since 2015, particularly in the context of Sustainable Development Goal Target 15.3. SPI outputs have supported scientific cooperation between the Convention and its strategic partners while enhancing its science and technology profile in line with Article 16 and Article 17. The findings indicate that further formalization of the SPI’s status within the UNCCD is vital to improve its functions, undertake its work, and enable the UNCCD to maintain its global lead in providing knowledge and advice on combating desertification, land degradation and drought.
Ten facts about land systems for sustainability
Publisher: Proceedings of the National Academy of Sciences
Date: 07-02-2022
Abstract: Land use is central to addressing sustainability issues, including bio ersity conservation, climate change, food security, poverty alleviation, and sustainable energy. In this paper, we synthesize knowledge accumulated in land system science, the integrated study of terrestrial social-ecological systems, into 10 hard truths that have strong, general, empirical support. These facts help to explain the challenges of achieving sustainability in land use and thus also point toward solutions. The 10 facts are as follows: 1) Meanings and values of land are socially constructed and contested 2) land systems exhibit complex behaviors with abrupt, hard-to-predict changes 3) irreversible changes and path dependence are common features of land systems 4) some land uses have a small footprint but very large impacts 5) drivers and impacts of land-use change are globally interconnected and spill over to distant locations 6) humanity lives on a used planet where all land provides benefits to societies 7) land-use change usually entails trade-offs between different benefits—"win–wins" are thus rare 8) land tenure and land-use claims are often unclear, overlapping, and contested 9) the benefits and burdens from land are unequally distributed and 10) land users have multiple, sometimes conflicting, ideas of what social and environmental justice entails. The facts have implications for governance, but do not provide fixed answers. Instead they constitute a set of core principles which can guide scientists, policy makers, and practitioners toward meeting sustainability challenges in land use.
Spatial modeling in natural sciences and engineering: software development and implementation
Publisher: Wiley
Date: 03-2005
Spectral Behavior of Salt Types
Publisher: CRC Press
Date: 12-12-2008
Remote Sensing
Publisher: SAGE Publications, Inc.
Date: 2008
Exploring the Feasibility of a Web-based System for Farmers Access to Current Agricultural Research Information in Western Australia
Publisher: Informa UK Limited
Date: 06-2002
Comparing the performance of techniques to improve the quality of yield maps
Publisher: Elsevier BV
Date: 07-2005
Categorical fuzziness: a comparison between crisp and fuzzy class boundary modelling for mapping salt-affected soils using Landsat TM data and a classification based on anion ratios
Publisher: Elsevier BV
Date: 10-2003
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