Publicaciones en colaboración con investigadores/as de University of Technology Sydney (14)

2024

  1. Globe-LFMC 2.0, an enhanced and updated dataset for live fuel moisture content research

    Scientific Data

  2. Sub-daily live fuel moisture content estimation from Himawari-8 data

    Remote Sensing of Environment, Vol. 308

2022

  1. Spatial Prioritization for Wildfire Mitigation by Integrating Heterogeneous Spatial Data: A New Multi-Dimensional Approach for Tropical Rainforests

    Remote Sensing, Vol. 14, Núm. 3

2021

  1. Author Correction: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data (Scientific Data, (2020), 7, 1, (225), 10.1038/s41597-020-0534-3)

    Scientific Data

  2. Limits to post-fire vegetation recovery under climate change

    Plant Cell and Environment, Vol. 44, Núm. 11, pp. 3471-3489

2020

  1. Carbon emissions from oil palm induced forest and peatland conversion in sabah and Sarawak, Malaysia

    Forests, Vol. 11, Núm. 12, pp. 1-22

  2. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

    Scientific data, Vol. 7, Núm. 1, pp. 225

2019

  1. ForestGapR: An r Package for forest gap analysis from canopy height models

    Methods in Ecology and Evolution, Vol. 10, Núm. 8, pp. 1347-1356

2017

  1. Changing Weather Extremes Call for Early Warning of Potential for Catastrophic Fire

    Earth's Future

2016

  1. An introduction to the Australian and New Zealand flux tower network - OzFlux

    Biogeosciences, Vol. 13, Núm. 21, pp. 5895-5916

  2. Carbon uptake and water use in woodlands and forests in southern Australia during an extreme heat wave event in the "angry Summer" of 2012/2013

    Biogeosciences, Vol. 13, Núm. 21, pp. 5947-5964

  3. Large-scale, dynamic transformations in fuel moisture drive wildfire activity across southeastern Australia

    Geophysical Research Letters, Vol. 43, Núm. 9, pp. 4229-4238

  4. Predicting dead fine fuel moisture at regional scales using vapour pressure deficit from MODIS and gridded weather data

    Remote Sensing of Environment, Vol. 174, pp. 100-108

2015

  1. Optimal stomatal behaviour around the world

    Nature Climate Change, Vol. 5, Núm. 5, pp. 459-464