Alfredo Huete

Distinguished Professor

University of Sydney

Australia

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About

Alfredo Huete is a Distinguished Professor at the University of Technology Sydney, Australia. His research focuses on remote sensing applications in vegetation assessment, crop yield estimation, and soil moisture analysis, with recent publications addressing advanced techniques in hyperspectral remote sensing and deep learning. Additionally, he investigates the impacts of irrigation practices on vegetation diversity and the relationship between climate change and pollen-induced respiratory allergies.

Articles (27)

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Collaborators (12)

Janet Davies

Head Allergy Research Group

Queensland University of Technology

AUSTRALIA

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Jing Chen

Professor

University of Toronto

CANADA

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Qiaoyun Xie

Lecturer

University of Western Australia

AUSTRALIA

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Jan Clevers

Wageningen University & Research

NETHERLANDS

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De Li Liu

Charles Sturt University - Wagga Wagga Campus

AUSTRALIA

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Andy Leigh

University of Sydney

AUSTRALIA

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Fa Li

Stanford University

UNITED STATES

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Ke Liu

University of Tasmania

AUSTRALIA

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Paul Beggs

Macquarie University

AUSTRALIA

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Caitlin Moore

University of Western Australia

AUSTRALIA

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Holly L. Croft

UNITED KINGDOM

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Xiaoyang Zhang

Professor

South Dakota State University

UNITED STATES

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Alfredo Huete

Research Interests

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Articles (27)

High-precision inversion of vegetation parameters in the AI era: Integrating hyperspectral remote sensing and deep learning.

A lightweight SIF-based crop yield estimation model: A case study of Australian wheat

Soil with high plant available water capacity can mitigate the risk of wheat growth under drought conditions in southeastern Australia

Grassland irrigation and grazing prohibition have significantly affected vegetation and microbial diversity by changing soil temperature and moisture, evidences from a 6 years experiment of typical temperate grassland

Evaluating the Relationship Between Vegetation Status and Soil Moisture in Semi-Arid Woodlands, Central Australia, Using Daily Thermal, Vegetation Index, and Reflectance Data

Assessing vegetation dynamics and human impacts in natural and urban areas of China: Insights from remote sensing data.

Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping

Quantum Feature-Empowered Deep Classification For Fast Mangrove Mapping

Environmental DNA analysis of airborne poaceae (grass) pollen reveals taxonomic diversity across seasons and climate zones

Semi-automated mangrove mapping at National-Scale using Sentinel-2, Sentinel-1, and SRTM data with Google Earth Engine: A case study in Thailand

A food-energy-water-carbon nexus framework informs region-specific optimal strategies for agricultural sustainability

Leveraging Remotely Sensed and Climatic Data for Improved Crop Yield Prediction in the Chi Basin, Thailand

Can agronomic options alleviate the risk of compound drought-heat events during the wheat flowering period in southeastern Australia?

Floating in the air: forecasting allergenic pollen concentration for managing urban public health

A holistic big data approach to understand and manage increasing pollen‐induced respiratory allergies under global change

Large diurnal compensatory effects mitigate the response of Amazonian forests to atmospheric warming and drying

Structural complexity biases vegetation greenness measures

Surface Energy Dynamics and Canopy Structural Properties in Intact and Disturbed Forests in the Southern Amazon

Estimation of Rubber Yield Using Sentinel-2 Satellite Data

Climate-driven land surface phenology advance is overestimated due to ignoring land cover changes

Prediction of airborne pollen and sub-pollen particles for thunderstorm asthma outbreaks assessment.

Land surface phenology indicators retrieved across diverse ecosystems using a modified threshold algorithm

Modelling interactions between cowpea cover crops and residue retention in Australian dryland cropping systems under climate change

Probabilistic assessment of drought impacts on wheat yield in south-eastern Australia

A novel red-edge spectral index for retrieving the leaf chlorophyll content

Ecohydrological decoupling of water storage and vegetation attributed to China's large-scale ecological restoration programs

Short-time-series grassland mapping using Sentinel-2 imagery and deep learning-based architecture

Collaborators (12)

Janet Davies

Jing Chen

Qiaoyun Xie

Jan Clevers

De Li Liu

Andy Leigh

Fa Li

Ke Liu

Paul Beggs

Caitlin Moore

Holly L. Croft

Xiaoyang Zhang

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