A5071479894- Climate variability and models
- Flood Risk Assessment and Management
- Hydrology and Watershed Management Studies
- Land Use and Ecosystem Services
- Atmospheric and Environmental Gas Dynamics
- Remote Sensing in Agriculture
- Precipitation Measurement and Analysis
- Hydrology and Drought Analysis
- Urban Transport and Accessibility
- Remote-Sensing Image Classification
- Soil Geostatistics and Mapping
- Climate change and permafrost
- Rangeland Management and Livestock Ecology
- Pasture and Agricultural Systems
- Plant Water Relations and Carbon Dynamics
- Ecology and Vegetation Dynamics Studies
- Remote Sensing and Land Use
- Meteorological Phenomena and Simulations
- Soil Moisture and Remote Sensing
- Geophysics and Gravity Measurements
- Disaster Management and Resilience
- Climate Change, Adaptation, Migration
- Hydrological Forecasting Using AI
- Plant and animal studies
- Solar Radiation and Photovoltaics
Australian National University
2014-2025
Capital Normal University
2018
Climate changes significantly impact environmental and hydrological processes. Precipitation is one of the most significant climatic parameters its variability trends have great influences on socioeconomic development. We investigate spatio-temporal precipitation occurrence frequency, mean depth, PVI total in China based long-term series from 1961 to 2015. As China's topography diverse affected by strongly, ANUSPLIN can model effect effectively adopted generate interpolation surface....
China’s rapid urbanization has contributed to a massive agricultural land loss that could threaten its food security. Timely and accurate mapping of urban expansion urbanization-related can provide viable measures be taken for planning protection. In this study, in China from 2001 2013 was mapped using the nighttime stable light (NSL), normalized difference vegetation index (NDVI), water body data. Urbanization-related during time period then evaluated at national, regional, metropolitan...
Satellite precipitation products (SPPs) have emerged as an important information source of with high spatio-temporal resolutions, great potential to improve catchment water resource management and hydrologic modelling, especially in data-sparse regions. As indirect measurement, satellite-derived accuracy is major concern. There been numerous evaluation/validation studies worldwide. However, a convincing systematic satellite remains unrealized. In particular, there are still only limited...
Regional flood risk caused by intensive rainfall under extreme climate conditions has increasingly attracted global attention. Mapping and evaluation of hazard are vital parts in assessment. This study develops an integrated framework for estimating spatial likelihood coupling weighted naïve Bayes (WNB), geographic information system, remote sensing. The north part Fitzroy River Basin Queensland, Australia, was selected as a case site. environmental indices, including rainfall,...
Urban flooding is a serious natural hazard to many cities all over the world, which has dramatic impacts on urban environment and human life. mapping practical significance for prevention management of flood disasters. Remote sensing images with high temporal resolutions are widely used mapping, but have limitation relatively low spatial resolutions. In this study, new method based generalized regression neural network (GRNN) proposed achieve improved accuracy in super-resolution (SMUF) from...
Grasslands are key components of land ecosystems, providing valuable ecosystem services and contributing to local carbon sequestration. Australian grasslands, covering approximately 70% the continent, vital for agriculture, pasture, services. Ongoing climate change introduces considerable uncertainties about dynamic responses different types grasslands changes in regional its variation. This study, bringing together high-resolution meteorological data, calibrated long-term satellite NDVI NPP...
Marine ecosystems are experiencing uneven changes in response to the synergistic effects of climate change and anthropogenic pressures. Phytoplankton primary productivity, driven by photosynthesis, fuels marine ecosystems, providing source material for trophic transfer carbon export ocean interior. This study provides a large-scale assessment net production (NPP) its temporal variability across different latitudinal bands (40° N–45°S) Asia-Pacific region over 25...
Summary Pollinator sharing can offer powerful insights into the floral traits associated with evolution of a pollination system and consequences differences for pollinator behaviour. Here, we investigate first known case between two sexually deceptive plant genera. Floral manipulations were used to test importance behaviour efficiency. We also explored ecological enabling species co‐occurrence. Drakaea livida Caladenia pectinata (Orchidaceae) exhibit dramatic in display insectiform...
Hydrologic models are essential tools for understanding hydrologic processes, such as precipitation, which is a fundamental component of the water cycle. For an improved and evaluation different precipitation datasets, especially their applicability modelling, three kinds products, CMADS, TMPA-3B42V7 gauge-interpolated compared. Two (IHACRES Sacramento) applied to study accuracy types products on daily streamflow Lijiang River, located in southern China. The calibrated separately with...
Continuing global warming and intensification of human activities have substantially disturbed the balance coastal marine ecosystems, potentially creating favorable conditions for algal blooms. Using serial remote sensing data various national provincial statistics, we investigated spatial temporal variations environmental driving forces blooms in Southern Yellow Sea between 2003 2017. The findings suggest that (1) Continual was observed Sea. study area evidenced more than three times speed...
Sub-pixel mapping of flood inundation (SMFI) is one the hotspots in remote sensing and relevant research application fields. In this study, a novel method based on integration Bayesian regulation back-propagation neural network (BRBP) particle swarm optimization (PSO), so-called IBRBPPSO, proposed for SMFI river basins. The IBRBPPSO–SMFI algorithm was developed evaluated using Landsat images from Changjiang basin China Murray-Darling Australia. Compared with traditional methods, consistently...
Reclamation of abandoned farmland is crucial to a sustainable agriculture in arid regions. This study aims evaluate the impact different reclamation treatments on salinized farmland. We investigated four artificial treatments, continuous cotton (CC), alfalfa (CA), tree-wheat intercropping (TW) and trees (TS), which were conducted 2011–2012 Manasi River Basin Xinjiang Province, China. Soil nutrient, microorganism enzyme activity examined comparison with natural succession (CK) an integrated...