Stefan Maier

ORCID: 0000-0001-6693-1973
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About
Contact & Profiles
Research Areas
  • Remote Sensing in Agriculture
  • Fire effects on ecosystems
  • Atmospheric and Environmental Gas Dynamics
  • Remote Sensing and LiDAR Applications
  • Land Use and Ecosystem Services
  • Rangeland and Wildlife Management
  • Coastal wetland ecosystem dynamics
  • Remote-Sensing Image Classification
  • Atmospheric chemistry and aerosols
  • Geochemistry and Geologic Mapping
  • Water Quality Monitoring and Analysis
  • Plant Water Relations and Carbon Dynamics
  • Calibration and Measurement Techniques
  • Atmospheric Ozone and Climate
  • Species Distribution and Climate Change
  • Marine Bivalve and Aquaculture Studies
  • Conservation, Biodiversity, and Resource Management
  • Vehicle emissions and performance
  • Coral and Marine Ecosystems Studies
  • Ecology and Vegetation Dynamics Studies
  • Forest Ecology and Conservation
  • Gas Sensing Nanomaterials and Sensors
  • Pasture and Agricultural Systems
  • Autonomous Vehicle Technology and Safety
  • Plant and Fungal Species Descriptions

Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
1999-2025

Charles Darwin University
2011-2021

James Cook University
2017-2021

Fraunhofer Institute for Solar Energy Systems
2017

Government of Western Australia
2009

Services Australia
2007

10.1016/j.jag.2011.06.008 article EN International Journal of Applied Earth Observation and Geoinformation 2011-07-28

With almost limitless applications across marine and freshwater environments, the number of people using, wanting to use, remotely piloted aircraft systems (or drones) is increasing exponentially. However, successfully using drones for data collection mapping often preceded by hours researching drone capabilities functionality followed numerous limited-success flights as users tailor their approach through trial error. Working over water can be particularly complex published research rarely...

10.1071/mf17380 article EN Marine and Freshwater Research 2018-07-12

Although biomass burning of savannas is recognised as a major global source greenhouse gas emissions, quantification remains problematic with resulting regional emissions estimates often differing markedly. Here we undertake critical assessment Australia’s National Greenhouse Gas Inventory (NGGI) savanna methodology. We describe the methodology developed for, and results associated uncertainties derived from, landscape-scale abatement project in fire-prone western Arnhem Land, northern...

10.1071/wf08009 article EN International Journal of Wildland Fire 2009-01-01

Remote sensing plays a critical role in mapping and monitoring mangroves. Aerial photographs visual image interpretation techniques have historically been known to be the most common approach for mangroves species discrimination. However, with availability of increased spectral resolution satellite imagery, advances digital classification algorithms, there is now potential digitally classify level. This study compares accuracy mangrove maps derived from two different layer combinations...

10.3390/rs6076064 article EN cc-by Remote Sensing 2014-06-27

Current good practice guidelines for national greenhouse gas inventories requires that seasonal variation in emission factors from savanna fires be considered when compiling accounts. African studies concluded the factor methane decreases during dry season principally due to curing of fuels. However, available data Australian tropical savannas shows no effect seasonality on factors, consistent with observations fine fuels appear cure fully soon after start fire season. To test whether...

10.1029/2012jd017671 article EN Journal of Geophysical Research Atmospheres 2012-09-17

Abstract. Phenology is the study of periodic biological occurrences and can provide important insights into influence climatic variability change on ecosystems. Understanding Australia's vegetation phenology a challenge due to its diverse range ecosystems, from savannas tropical rainforests temperate eucalypt woodlands, semi-arid scrublands, alpine grasslands. These ecosystems exhibit marked differences in seasonal patterns canopy development plant life-cycle events, much which deviates...

10.5194/bg-13-5085-2016 article EN cc-by Biogeosciences 2016-09-13

10.1016/j.jag.2017.07.004 article EN International Journal of Applied Earth Observation and Geoinformation 2017-07-23

The reliability of airborne light detection and ranging (LiDAR) for delineating individual trees estimating aboveground biomass (AGB) has been proven in a diverse range ecosystems, but can be difficult costly to commission. Point clouds derived from structure motion (SfM) matching techniques obtained unmanned aerial systems (UAS) could feasible low-cost alternative LiDAR scanning canopy parameter retrieval. This study assesses the extent which SfM three-dimensional (3D) point clouds—obtained...

10.3390/rs10020161 article EN cc-by Remote Sensing 2018-01-23

Satellite-derived phenology (or apparent phenology) is frequently used to illustrate changes in plant (i.e. true and the effects of climate forcing. However, each study uses a different method detect phenology. Plant refers relationship between life cycle plants weather events. Phenology often studied field, but recently studies have transitioned towards using satellite images monitor at plot, country, continental scales. The problem with this approach that there an ever-increasing variety...

10.1016/j.jag.2020.102285 article EN cc-by International Journal of Applied Earth Observation and Geoinformation 2021-01-11

Prescribed fire can potentially reduce carbon emissions from unplanned fires. This potential will differ among ecosystems owing to inherent differences in the efficacy of prescribed burning reducing activity (or ‘leverage’, i.e. reduction area per unit fire). In temperate eucalypt forests, leverage is relatively low and for mitigation fires via limited. Simulations regimes accounting non-linear patterns fuel dynamics three types characteristic forests south-eastern Australia supported this...

10.1071/wf11023 article EN International Journal of Wildland Fire 2012-01-01

10.1016/j.jag.2013.11.009 article EN International Journal of Applied Earth Observation and Geoinformation 2013-12-20

10.1016/j.isprsjprs.2015.08.003 article EN ISPRS Journal of Photogrammetry and Remote Sensing 2015-09-07

10.1016/s0034-4257(98)00118-7 article EN Remote Sensing of Environment 1999-06-01

North Australian tropical savanna accounts for 12% of the world's total land cover. Accordingly, understanding processes that govern carbon, water and energy exchange within this biome is critical to global carbon budgeting. Climate disturbances drive ecosystem dynamics. Savanna ecosystems coastal sub-coastal north Australia experience a unique combination climatic extremes are in state near constant disturbance from fire events (1 3 years), storms resulting windthrow 5–10 years)...

10.1088/1748-9326/8/4/045023 article EN cc-by Environmental Research Letters 2013-11-13

Abstract. Savanna fires contribute approximately 40–50% of total global annual biomass burning carbon emissions. Recent comparisons emission factors from different savanna regions have highlighted the need for a regional approach to factor development, and better assessment drivers temporal spatial variation in factors. This paper describes results open-path Fourier transform infrared (OP-FTIR) spectroscopic field measurements at 21 occurring tropical savannas Northern~Territory, Australia,...

10.5194/acp-14-11335-2014 article EN cc-by Atmospheric chemistry and physics 2014-10-29
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