Chad Burton

ORCID: 0000-0003-3048-8484
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About
Contact & Profiles
Research Areas
  • Atmospheric and Environmental Gas Dynamics
  • Climate variability and models
  • Flood Risk Assessment and Management
  • Remote Sensing in Agriculture
  • Hydrology and Watershed Management Studies
  • Energy Load and Power Forecasting
  • Climate Change and Health Impacts
  • Radiomics and Machine Learning in Medical Imaging
  • Plant Water Relations and Carbon Dynamics
  • Oceanographic and Atmospheric Processes
  • Climate change and permafrost
  • Meteorological Phenomena and Simulations
  • Hydrology and Drought Analysis
  • Geophysics and Gravity Measurements
  • Soil Moisture and Remote Sensing
  • Remote Sensing and LiDAR Applications
  • Soil and Unsaturated Flow
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Science and Climate Studies
  • Minerals Flotation and Separation Techniques
  • Groundwater flow and contamination studies
  • Soil and Water Nutrient Dynamics
  • Underwater Vehicles and Communication Systems
  • Clinical Nutrition and Gastroenterology
  • Tropical and Extratropical Cyclones Research

Australian National University
2023-2024

Geoscience Australia
2020-2024

Future Earth
2022

ACT Government
2020

University of Oxford
2017-2019

Google (United States)
2018

Monash University
2017

Meteorological extreme events such as El Niño are expected to affect tropical forest net primary production (NPP) and woody growth, but there has been no large-scale empirical validation of this expectation. We collected a large high–temporal resolution dataset (for 1–13 years depending upon location) more than 172 000 stem growth measurements using dendrometer bands from across 14 regions spanning Amazonia, Africa Borneo in order test how much month-to-month variation stand-level adult tree...

10.1098/rstb.2017.0410 article EN Philosophical Transactions of the Royal Society B Biological Sciences 2018-10-08

Abstract Determining mean transit times in headwater catchments is critical for understanding catchment functioning and their responses to changes landuse or climate. whether (MTTs) correlate with drainage density, slope angle, area, land cover permits a better of the controls on water flow through allows first‐order predictions MTTs other be made. This study assesses there are identifiable determined using 3 H southeast Australia. Despite at baseflow varying from few years >100 years, it...

10.1002/hyp.13862 article EN Hydrological Processes 2020-07-06

A central focus for governing bodies in Africa is the need to secure necessary food sources support their populations. It has been estimated that current production of crops will double by 2050 meet future needs production. Higher level crop-based products can assist with managing insecurity, such as cropping watering intensities, crop types, or productivity, require a starting point precise and accurate cropland extent maps indicating where occurs. Current continental are either inaccurate,...

10.1002/essoar.10510081.1 preprint EN cc-by 2022-01-11

To understand the impacts of extreme climate events, it is first necessary to spatio-temporal characteristics event. Gridded products are frequently used describe patterns but have been shown perform poorly over data-sparse regions such as tropical forests. Often, they uncritically employed in a wide range studies linking forest processes large-scale variability. Here, we conduct an inter-comparison and assessment near-surface air temperature fields supplied by four state-of-the-art...

10.1098/rstb.2017.0406 article EN Philosophical Transactions of the Royal Society B Biological Sciences 2018-10-08

Digital Earth Africa is now providing an operational Sentinel-1 normalized radar backscatter dataset for Africa. This the first free and open continental scale analysis ready data of this kind that has been developed to be compliant with CEOS Analysis Ready Data Land (CARD4L) specification (NRB) products. Partnership Sinergise, a European geospatial company observation provider, ensured produced efficiently in cloud infrastructure can sustained long term. The workflow applies radiometric...

10.3390/rs14020351 article EN cc-by Remote Sensing 2022-01-13

Abstract. We develop high-resolution (1 km) estimates of gross primary productivity (GPP), ecosystem respiration (ER), and net exchange (NEE) over the Australian continent for period January 2003 to June 2022 by empirical upscaling flux tower measurements. compare our with nine other products that cover three broad categories define current methods estimating terrestrial carbon cycle assess if consiliences between datasets can point correct dynamics Australia's cycle. Our results indicate...

10.5194/bg-20-4109-2023 article EN cc-by Biogeosciences 2023-10-09

In June 2013, Uttarakhand experienced a hydro-meteorological disaster due to 4 d extreme precipitation event of return period more than 100 years, claiming thousands lives and causing enormous damage infrastructure. Using the weather@home climate modelling system its Half degree Additional warming, Prognosis Projected Impacts simulations, this study investigates change in similar events 1.5 °C 2 warmer world, compared current pre-industrial levels. We find that likelihood such will...

10.1088/1748-9326/ab0bce article EN cc-by Environmental Research Letters 2019-03-01

Spatially explicit, near real time information on surface water dynamics is critical for understanding changes in resources, and long-term security planning. The distribution of across the African continent since 1984 updated as every new Landsat scene becomes available presented here, validated first time. We applied Water Observations from Space (WOfS) algorithm, developed well-tested Australia, to acquired over Africa mid 1980s provide spatial past 30+ years. assessed accuracy WOfS using...

10.3389/fenvs.2024.1251315 article EN cc-by Frontiers in Environmental Science 2024-08-26

Abstract. We develop high resolution (1 km) estimates of Gross Primary Productivity (GPP), Ecosystem Respiration (ER) and Net Exchange (NEE) over the Australian continent for period January 2003 to June 2022 by empirical upscaling flux tower measurements. compare our with nine other products that cover three broad categories define current methods estimating terrestrial carbon cycle assess if consiliences between datasets can point correct dynamics Australia’s cycle. Our results indicate...

10.5194/egusphere-2023-1057 preprint EN cc-by 2023-06-05

The impacts of global change especially the recent climate-related extremes such as floods and droughts reveal significant vulnerability exposure freshwater ecosystems related human systems to current climate variability. However, effects extreme drought in Okavango Delta system are not well understood documented. Therefore, objective this use case was apply products from Digital Earth Africa namely: Water Observation Space (WOfS) derived Landsat, vegetation cover baseline Sentinel 2 data;...

10.1002/essoar.10510000.2 preprint EN cc-by 2022-01-05

Earth observation of waterbodies through time is a powerful tool in understanding both the location and their temporal dynamics. Water Observations from Space (WOfS), developed well-tested Australia, service providing historical surface water observations derived Landsat satellite imagery 1987 to present day. WOfS provides better where usually present; it seldom observed; inundation has been occasionally observed by satellite. We applied algorithm Africa validated its accuracy image...

10.1002/essoar.10510203.1 preprint EN cc-by 2022-01-19

We discuss the development of high-resolution (1 km) estimates terrestrial carbon and water fluxes over Australian continent by empirical upscaling a regional network flux tower measurements (“AusEFlux” v1.1 https://zenodo.org/records/7947265). detail our ensemble learning approach for estimating per-pixel epistemic uncertainty in predictions.  Our investigations demonstrate that or continental has several advantages global upscaling, including: ability...

10.5194/egusphere-egu24-4823 preprint EN 2024-03-08

Abstract. Long-term, reliable datasets of satellite-based vegetation condition are essential for understanding terrestrial ecosystem responses to global environmental change, particularly in Australia which is characterised by diverse ecosystems and strong interannual climate variability. We comprehensively evaluate several existing AVHRR NDVI products their suitability long-term monitoring Australia. Comparisons with MODIS highlight significant deficiencies, over densely vegetated regions....

10.5194/essd-2024-89 preprint EN cc-by 2024-04-09

Abstract. Long-term, reliable datasets of satellite-based vegetation condition are essential for understanding terrestrial ecosystem responses to global environmental change, particularly in Australia, which is characterised by diverse ecosystems and strong interannual climate variability. We comprehensively evaluate several existing Advanced Very High Resolution Radiometer (AVHRR) normalised-difference index (NDVI) products their suitability long-term monitoring Australia. Comparisons with...

10.5194/essd-16-4389-2024 article EN cc-by Earth system science data 2024-10-01

The impacts of global change especially the recent climate-related extremes such as floods and droughts reveal significant vulnerability exposure freshwater ecosystems related human systems to current climate variability. However, effects extreme drought in Okavango Delta system are not well understood documented. Therefore, objective this use case was apply products from Digital Earth Africa namely: Water Observation Space (WOfS) derived Landsat, vegetation cover baseline Sentinel 2 data;...

10.1002/essoar.10510000.1 preprint EN cc-by 2022-01-05
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