Marta Yebra

30 papers C 6Journal 24
YearRankTypeTitle / Venue / Authors
2024 J jnl
A Survey on IoT Ground Sensing Systems for Early Wildfire Detection: Technologies, Challenges, and Opportunities.
IEEE Access
Chiu Chun Chan, Sheeraz A. Alvi, Xiangyun Zhou, Salman Durrani, Nicholas Wilson, Marta Yebra
2024 J jnl
Examining the Transferability of Remote-Sensing-Based Models of Live Fuel Moisture Content for Predicting Wildfire Characteristics.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Edna Guk, Avi Bar Massada, Marta Yebra, Gianluca Scortechini, Noam Levin
2023 J jnl
Improving wildfire occurrence modelling by integrating time-series features of weather and fuel moisture content.
Environ. Model. Softw.
Xingwen Quan, Wenli Wang, Qian Xie, Binbin He, Víctor Resco de Dios, Marta Yebra, Miao Jiao, Rui Chen
2023 J jnl
IoT Ground Sensing Systems for Early Wildfire Detection: Technologies, Challenges and Opportunities.
CoRR
Chiu Chun Chan, Sheeraz A. Alvi, Xiangyun Zhou, Salman Durrani, Nicholas Wilson, Marta Yebra
2022 J jnl
Multi-modal temporal CNNs for live fuel moisture content estimation.
Environ. Model. Softw.
Lynn Miller, Liujun Zhu, Marta Yebra, Christoph Rüdiger, Geoffrey I. Webb
2022 J jnl
RADAR-Vegetation Structural Perpendicular Index (R-VSPI) for the Quantification of Wildfire Impact and Post-Fire Vegetation Recovery.
Remote. Sens.
Aakash Chhabra, Christoph Rüdiger, Marta Yebra, Thomas Jagdhuber, James Hilton
2021 J jnl
Global fuel moisture content mapping from MODIS.
Int. J. Appl. Earth Obs. Geoinformation
Xingwen Quan, Marta Yebra, David Riaño, Binbin He, Gengke Lai, Xiangzhuo Liu
2021 J jnl
Global trends in vegetation seasonality in the GIMMS NDVI3g and their robustness.
Int. J. Appl. Earth Obs. Geoinformation
Wentao Ye, Albert I. J. M. van Dijk, Alfredo Huete, Marta Yebra
2021 J jnl
Modelling wildfire occurrence at regional scale from land use/cover and climate change scenarios.
Environ. Model. Softw.
Lara Vilar, Sixto Herrera, E. Tafur-García, Marta Yebra, Javier Martinez-Vega, Pilar Echavarría, María Pilar Martín
2021 J jnl
Relationships between Burn Severity and Environmental Drivers in the Temperate Coniferous Forest of Northern China.
Remote. Sens.
Changming Yin, Minfeng Xing, Marta Yebra, Xiangzhuo Liu
2020 J jnl
A Live Fuel Moisture Content Product from Landsat TM Satellite Time Series for Implementation in Fire Behavior Models.
Remote. Sens.
Mariano García, David Riaño, Marta Yebra, Javier Salas, Adrián Cardil, Santiago Monedero, Joaquín Ramírez, M. Pilar Martín, Lara Vilar, John Gajardo, Susan L. Ustin
2020 J jnl
Assessment of generalized allometric models for aboveground biomass estimation: A case study in Australia.
Comput. Electron. Agric.
Li Liu, Samsung Lim, Xuesong Shen, Marta Yebra
2020 J jnl
Correction: Wang, L., et al. Assessment of the Dual Polarimetric Sentinel-1A Data for Forest Fuel Moisture Content Estimation. Remote Sensing 2019, 11(13), 1568.
Remote. Sens.
Long Wang, Xingwen Quan, Binbin He, Marta Yebra, Minfeng Xing, Xiangzhuo Liu
2020 J jnl
Investigating Live Fuel Moisture Content Estimation in Fire-Prone Shrubland from Remote Sensing Using Empirical Modelling and RTM Simulations.
Remote. Sens.
Eva Marino, Marta Yebra, Mariluz Guillén-Climent, Nur Algeet, José Luis Tomé, Javier Madrigal, Mercedes Guijarro, Carmen Hernando
2020 J jnl
Remote Sensing of Burn Severity Using Coupled Radiative Transfer Model: A Case Study on Chinese Qinyuan Pine Fires.
Remote. Sens.
Changming Yin, Binbin He, Xingwen Quan, Marta Yebra, Gengke Lai
2019 J jnl
A hybrid method for segmenting individual trees from airborne lidar data.
Comput. Electron. Agric.
Li Liu, Samsung Lim, Xuesong Shen, Marta Yebra
2019 J jnl
A multiscale morphological algorithm for improvements to canopy height models.
Comput. Geosci.
Li Liu, Samsung Lim, Xuesong Shen, Marta Yebra
2019 J jnl
Assessment of the Dual Polarimetric Sentinel-1A Data for Forest Fuel Moisture Content Estimation.
Remote. Sens.
Long Wang, Xingwen Quan, Binbin He, Marta Yebra, Minfeng Xing, Xiangzhuo Liu
2019 C conf
Burn Severity Estimation in Northern Australia Tropical Savannas Using Radiative Transfer Model and Sentinel-2 Data.
IGARSS
Changming Yin, Binbin He, Marta Yebra, Xingwen Quan, Andrew C. Edwards, Xiangzhuo Liu, Zhanmang Liao, Kaiwei Luo
2019 C conf
Estimation of Forest Structure with the Vegetation Structure Perpendicular Index (VSPI) for Dynamic Fire Spread Simulations.
IGARSS
Andrea Massetti, Christoph Rüdiger, Marta Yebra, James E. Hilton
2019 C conf
Evaluating the Sentinel-2a Satellite Data for Fuel Moisture Content Retrieval.
IGARSS
Qidi Shu, Xingwen Quan, Marta Yebra, Xiangzhuo Liu, Long Wang, Yang Zhang
2018 C conf
Mapping Live Fuel Moisture Content and Flammability for Continental Australia Using Optical Remote Sensing.
IGARSS
Marta Yebra, Xingwen Quan, David Riaño, Pablo Rozas Larraondo, Albert I. J. M. van Dijk, Geoffrey J. Cary
2018 J jnl
Near Real-Time Extracting Wildfire Spread Rate from Himawari-8 Satellite Data.
Remote. Sens.
Xiangzhuo Liu, Binbin He, Xingwen Quan, Marta Yebra, Shi Qiu, Changming Yin, Zhanmang Liao, Hongguo Zhang
2018 C conf
Retrieval of Fuel Moisture Content from Himawari-8 Product: Towards Real-Time Wildfire Risk Assessment.
IGARSS
Xingwen Quan, Binbin He, Marta Yebra, Xiangzhuo Liu, Xiaofang Liu, Xiaodong Zhang, Hui Cao
2018 C conf
The Vegetation Structure Perpendicular Index for Wildfire Severity and Forest Recovery Monitoring.
IGARSS
Andrea Massetti, Christoph Rüdiger, Marta Yebra, James E. Hilton
2017 J jnl
A radiative transfer model-based method for the estimation of grassland aboveground biomass.
Int. J. Appl. Earth Obs. Geoinformation
Xingwen Quan, Binbin He, Marta Yebra, Changming Yin, Zhanmang Liao, Xueting Zhang, Xing Li
2017 J jnl
Development of a predictive model for estimating forest surface fuel load in Australian eucalypt forests with LiDAR data.
Environ. Model. Softw.
Yang Chen, Xuan Zhu, Marta Yebra, Sarah Harris, Nigel Tapper
2017 J jnl
Retrieval of forest fuel moisture content using a coupled radiative transfer model.
Environ. Model. Softw.
Xingwen Quan, Binbin He, Marta Yebra, Changming Yin, Zhanmang Liao, Xing Li
2016 J jnl
Deriving comprehensive forest structure information from mobile laser scanning observations using automated point cloud classification.
Environ. Model. Softw.
Suzanne M. Marselis, Marta Yebra, Tom Jovanovic, Albert I. J. M. van Dijk
2009 J jnl
Generation of a Species-Specific Look-Up Table for Fuel Moisture Content Assessment.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Marta Yebra, Emilio Chuvieco