A5089152837- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Soil erosion and sediment transport
- Land Use and Ecosystem Services
- Hydrology and Sediment Transport Processes
- Remote-Sensing Image Classification
- Coastal wetland ecosystem dynamics
- Leaf Properties and Growth Measurement
- 3D Surveying and Cultural Heritage
- Plant Water Relations and Carbon Dynamics
- Urban Heat Island Mitigation
- Geochemistry and Geologic Mapping
- Coral and Marine Ecosystems Studies
- Remote Sensing and Land Use
- Soil Moisture and Remote Sensing
- Soil Geostatistics and Mapping
- Oil Palm Production and Sustainability
- Forest ecology and management
- Hydrology and Watershed Management Studies
- Soil and Land Suitability Analysis
- Irrigation Practices and Water Management
- Flood Risk Assessment and Management
- Geophysics and Gravity Measurements
- Plant and Fungal Species Descriptions
- Spectroscopy and Chemometric Analyses
King Abdullah University of Science and Technology
2017-2025
The University of Queensland
2011-2020
Queensland Government
2010-2013
CRC for Spatial information
2007-2008
With the increasing role that unmanned aerial systems (UAS) are playing in data collection for environmental studies, two key challenges relate to harmonizing and providing standardized guidance collection, also establishing protocols applicable across a broad range of environments conditions. In this context, network scientists cooperating within framework Harmonious Project develop promote harmonized mapping strategies disseminate operational ensure best practice interpretation. The...
Providing accurate maps of mangroves, where the spatial scales mapped features correspond to ecological structures and processes, as opposed pixel sizes mapping approaches, is a major challenge for remote sensing. This study developed evaluated an object-based approach understand what types mangrove information can be using different image datasets (Landsat TM, ALOS AVNIR-2, WorldView-2, LiDAR). We compared contrasted ability these images map five levels features, including vegetation...
The objective of this paper was to evaluate the accuracy two advanced blending algorithms, Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM) Enhanced (ESTARFM) downscale Moderate Resolution Imaging Spectroradiometer (MODIS) indices spatial resolution Landsat. We tested approaches: (i) “Index-then-Blend” (IB); (ii) “Blend-then-Index” (BI) when simulating nine indices, which are widely used for vegetation studies, environmental moisture assessment standing water identification....
Unmanned aerial vehicles (UAV) provide an unprecedented capacity to monitor the development and dynamics of tree growth structure through time. It is generally thought that pruning crops encourages new growth, has a positive effect on fruiting, makes fruit-picking easier, may increase yield, as it increases light interception crown surface area. To establish response in orchard lychee trees, assessment changes structure, i.e., perimeter, width, height, area Plant Projective Cover (PPC), was...
Biomass and yield are important variables used for assessing agricultural production performance. However, these difficult to predict individual plants at the farm scale, prediction models accuracies may be affected by abiotic stresses such as salinity. In this study, a diversity panel of wild tomato species, Solanum pimpinellifolium, was evaluated through field- unmanned aerial vehicle (UAV) based assessment 600 control salt-treated plants. The aim research determine if red-green-blue (RGB)...
Thermal infrared cameras provide unique information on surface temperature that can benefit a range of environmental, industrial and agricultural applications. However, the use uncooled thermal for field unmanned aerial vehicle (UAV) based data collection is often hampered by vignette effects, sensor drift, ambient influences measurement bias. Here, we develop apply an temperature-dependent radiometric calibration function evaluated against three sensors (Apogee SI-11(Apogee Electronics,...
Abstract Given its high nutritional value and capacity to grow in harsh environments, quinoa has significant potential address a range of food security concerns. Monitoring the development phenotypic traits during field trials can provide insights into varieties best suited specific environmental conditions management strategies. Unmanned aerial vehicles (UAVs) promising means for phenotyping offer new relative plant performance. During trial exploring 141 accessions, UAV-based multispectral...
Unmanned aerial vehicle (UAV) and satellite data have considerable complementarity for platform inter-operability, fusion studies, calibration validation efforts, various multiscale analyses. To optimize cross-platform synergies between field-deployable UAV space-based systems, an understanding of spectral characteristics compatibility is required. Here, we present the assessment consistency, undertaking a pixel-to-pixel similarity co-registered reflectance maps using corresponding bands...
Government agencies responsible for riparian environments are assessing the utility of remote sensing mapping and monitoring vegetation structural parameters. The objective this work was to evaluate Ikonos Landsat-7 ETM+ imagery parameters species composition in Australian tropical savannahs a section Keelbottom Creek, Queensland, Australia. Vegetation indices image texture from data were used estimating leaf area index (R-2 = 0.13) canopy percentage foliage cover 0.86). Pan-sharpened map...
The objectives of this research were to (a) develop a geo-object-based classification system for accurately mapping riparian land-cover classes two QuickBird images, and (b) compare change maps derived from per-pixel inputs used in three detection techniques. techniques included post-classification comparison, image differencing, the tasseled cap transformation. Two atmospherically corrected at-surface reflectance, captured May August 2007 savanna woodlands area along Mimosa Creek Central...
Multi-spectral imagery captured from unmanned aerial systems (UAS) is becoming increasingly popular for the improved monitoring and managing of various horticultural crops. However, UAS-based data to be used as an industry standard assessing tree structure condition well production parameters, it imperative that appropriate collection pre-processing protocols are established enable multi-temporal comparison. There several radiometric correction methods commonly precision agricultural...
Tree condition, pruning and orchard management practices within intensive horticultural tree crop systems can be determined via measurements of structure. Multi-spectral imagery acquired from an unmanned aerial system (UAS) has been demonstrated as accurate efficient platform for measuring various structural attributes, but research in complex environments limited. This established a methodology accurately estimating crown height, extent, plant projective cover (PPC) condition avocado crops,...
There is a significant need to provide nationwide consistent information for land managers and scientists assist with property planning, vegetation monitoring applications, risk assessment, conservation activities at an appropriate spatial scale. We created maps of woody cover Australia using method applied across the continent, made them accessible. classified pixels as or not woody, quantified their foliage projective cover, classed forest other wooded lands based on density. The provide,...
With salt stress presenting a major threat to global food production, attention has turned the identification and breeding of crop cultivars with improved tolerance. For instance, some accessions wild species higher tolerance than commercial varieties are being investigated for their potential expand production into marginal areas or use brackish waters irrigation. However, assessment individual plant responses in field trials is time-consuming, limiting, example, longitudinal large numbers...