A5004573971- Coral and Marine Ecosystems Studies
- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Marine and fisheries research
- Land Use and Ecosystem Services
- Marine and coastal plant biology
- Remote-Sensing Image Classification
- Coastal wetland ecosystem dynamics
- Geochemistry and Geologic Mapping
- Soil erosion and sediment transport
- Species Distribution and Climate Change
- Coastal and Marine Management
- Geological and Geophysical Studies
- Wildlife Ecology and Conservation
- Marine and coastal ecosystems
- Remote Sensing and Land Use
- Marine animal studies overview
- Forest ecology and management
- Rangeland and Wildlife Management
- Tropical and Extratropical Cyclones Research
- Marine Biology and Ecology Research
- Soil Geostatistics and Mapping
- Oceanographic and Atmospheric Processes
- Maritime and Coastal Archaeology
- Ecology and Vegetation Dynamics Studies
The University of Queensland
2016-2025
University of New England
2023
Environmental Earth Sciences
2017-2022
National Remote Sensing Centre
2017
Terrestrial Ecosystem Research Network
2012-2015
CRC for Spatial information
2005-2013
Government of the Northern Territory
2012
CO2CRC
2004
San Diego State University
1996-2003
American Association of Geographers
1992
Abstract Policies aiming to preserve vegetated coastal ecosystems (VCE; tidal marshes, mangroves and seagrasses) mitigate greenhouse gas emissions require national assessments of blue carbon resources. Here, we present organic (C) storage in VCE across Australian climate regions estimate potential annual CO 2 emission benefits conservation restoration. Australia contributes 5–11% the C stored globally (70–185 Tg aboveground biomass, 1,055–1,540 upper 1 m soils). Potential from current losses...
Abstract Long‐term ecological studies are critical for providing key insights in ecology, environmental change, natural resource management and biodiversity conservation. In this paper, we briefly discuss five values of such studies. These are: (1) quantifying responses to drivers ecosystem change; (2) understanding complex processes that occur over prolonged periods; (3) core data may be used develop theoretical models parameterize validate simulation models; (4) acting as platforms...
Science, resource management, and defense need algorithms capable of using airborne or satellite imagery to accurately map bathymetry, water quality, substrate composition in optically shallow waters. Although a variety inversion are available, there has been limited assessment performance no work published comparing their accuracy efficiency. This paper compares the absolute relative accuracies computational efficiencies one empirical five radiative‐transfer‐based approaches applied coastal...
AbstractProviding accurate maps of coral reefs where the spatial scale and labels mapped features correspond to map units appropriate for examining biological geomorphic structures processes is a major challenge remote sensing. The objective this work assess accuracy relevance process used derive zone benthic community three western Pacific produced from multi-scale, object-based image analysis (OBIA) high-spatial-resolution multi-spectral images, guided by field survey data. Three...
The Sentinel-2A and 2B Multi-Spectral Instrument (MSI) offers a specification of potential value toward number objectives in remote sensing coral reefs. Coral reefs represent unique challenge for sensing, being highly heterogeneous at metre scales occurring variable depths water clarity regimes. However, conservation initiatives, such as the United Nations Sustainable Development Goals, add urgency to need large scale environmental monitoring information that can provide. In quest meet this...
Coral reefs underpin the environmental, social, and economic fabrics of much world's tropical coast. Yet, fine-scale distribution composition coral have never been reported consistently across planet. Here, we present new area estimates enabled by global geomorphic zone benthic substrate maps at 5 m pixel resolution. We revise reef to 348,361 km2 shallow 80,213 (46,237–106,319 km2, 95% confidence interval) habitat. The mapping used more than 1.5 million training samples supported 480+ data...
This Letter evaluates several narrow-band indices from EO-1 Hyperion imagery in discriminating sugarcane areas affected by 'orange rust' (Puccinia kuehnii) disease. Forty spectral vegetation (SVIs), focusing on bands related to leaf pigments, internal structure, and water content, were generated an image acquired over Mackay, Queensland, Australia. Discriminant function analysis was used select optimum set of based their correlations with the discriminant function. The predictive ability...
The majority of the world's population now resides in urban environments and information on internal composition dynamics these is essential to enable preservation certain standards living. Remotely sensed data, especially global coverage moderate spatial resolution satellites such as Landsat, Indian Resource Satellite Système Pour l'Observation de la Terre (SPOT), offer a highly useful data source for mapping cities examining their changes over time. utility range applications remotely...
Urbanization and the ability to manage for a sustainable future present numerous challenges geographers planners in metropolitan regions. Remotely sensed data are inherently suited provide information on urban land cover characteristics, their change over time, at various spatial temporal scales. Data models establishing range of types biophysical composition (vegetation, soil, impervious surfaces) integrated hierarchical approach classifying within environments. These also an essential...
Shallow coastal ecosystems are the interface between terrestrial and marine environment. The physical biological composition distribution of benthic habitats within these determines their contribution to ecosystem services biodiversity as well connections neighbouring processes. capacity accurately consistently map monitor is critical developing implementing management applications. This paper presents a method for integrating field survey data high spatial resolution, multi-spectral...
Visual image interpretation and digital classification have been used to map monitor mangrove extent composition for decades. The presence of a high-spatial resolution hyperspectral sensor can potentially improve our ability differentiate species. However, little research has explored the use pixel-based object-based approaches on datasets this purpose. This study assessed CASI-2 data species mapping using at mouth Brisbane River area, southeast Queensland, Australia. Three techniques in...