Generation of a Species-Specific Look-Up Table for Fuel Moisture Content Assessment. - Marta Yebra; Emilio Chuvieco (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2009)

Deriving comprehensive forest structure information from mobile laser scanning observations using automated point cloud classification. - Suzanne M. Marselis; Marta Yebra; Tom Jovanovic; Albert I. J. M. van Dijk (Environ. Model. Softw., 2016)

A radiative transfer model-based method for the estimation of grassland aboveground biomass. - Xingwen Quan; Binbin He; Marta Yebra; Changming Yin; Zhanmang Liao; Xueting Zhang; Xing Li (Int. J. Appl. Earth Obs. Geoinformation, 2017)

Development of a predictive model for estimating forest surface fuel load in Australian eucalypt forests with LiDAR data. - Yang Chen 009; Xuan Zhu; Marta Yebra; Sarah Harris; Nigel Tapper (Environ. Model. Softw., 2017)

Retrieval of forest fuel moisture content using a coupled radiative transfer model. - Xingwen Quan; Binbin He; Marta Yebra; Changming Yin; Zhanmang Liao; Xing Li (Environ. Model. Softw., 2017)

The Vegetation Structure Perpendicular Index for Wildfire Severity and Forest Recovery Monitoring. - Andrea Massetti; Christoph Rüdiger; Marta Yebra; James E. Hilton (IGARSS, 2018)

Retrieval of Fuel Moisture Content from Himawari-8 Product: Towards Real-Time Wildfire Risk Assessment. - Xingwen Quan; Binbin He; Marta Yebra; Xiangzhuo Liu; Xiaofang Liu; Xiaodong Zhang 019; Hui Cao (IGARSS, 2018)

Mapping Live Fuel Moisture Content and Flammability for Continental Australia Using Optical Remote Sensing. - Marta Yebra; Xingwen Quan; David Riaño 002; Pablo Rozas Larraondo; Albert I. J. M. van Dijk; Geoffrey J. Cary (IGARSS, 2018)

Near Real-Time Extracting Wildfire Spread Rate from Himawari-8 Satellite Data. - Xiangzhuo Liu; Binbin He; Xingwen Quan; Marta Yebra; Shi Qiu 003; Changming Yin; Zhanmang Liao; Hongguo Zhang (Remote. Sens., 2018)

Estimation of Forest Structure with the Vegetation Structure Perpendicular Index (VSPI) for Dynamic Fire Spread Simulations. - Andrea Massetti; Christoph Rüdiger; Marta Yebra; James E. Hilton (IGARSS, 2019)

Evaluating the Sentinel-2a Satellite Data for Fuel Moisture Content Retrieval. - Qidi Shu; Xingwen Quan; Marta Yebra; Xiangzhuo Liu; Long Wang 017; Yang Zhang (IGARSS, 2019)

Burn Severity Estimation in Northern Australia Tropical Savannas Using Radiative Transfer Model and Sentinel-2 Data. - Changming Yin; Binbin He; Marta Yebra; Xingwen Quan; Andrew C. Edwards; Xiangzhuo Liu; Zhanmang Liao; Kaiwei Luo (IGARSS, 2019)

A hybrid method for segmenting individual trees from airborne lidar data. - Li Liu 042; Samsung Lim; Xuesong Shen; Marta Yebra (Comput. Electron. Agric., 2019)

A multiscale morphological algorithm for improvements to canopy height models. - Li Liu 042; Samsung Lim; Xuesong Shen; Marta Yebra (Comput. Geosci., 2019)

Assessment of the Dual Polarimetric Sentinel-1A Data for Forest Fuel Moisture Content Estimation. - Long Wang 017; Xingwen Quan; Binbin He; Marta Yebra; Minfeng Xing; Xiangzhuo Liu (Remote. Sens., 2019)

Assessment of generalized allometric models for aboveground biomass estimation: A case study in Australia. - Li Liu 042; Samsung Lim; Xuesong Shen; Marta Yebra (Comput. Electron. Agric., 2020)

A Live Fuel Moisture Content Product from Landsat TM Satellite Time Series for Implementation in Fire Behavior Models. - Mariano García; David Riaño 002; Marta Yebra; Javier Salas; Adrián Cardil; Santiago Monedero; Joaquín Ramírez; M. Pilar Martín; Lara Vilar; John Gajardo; Susan L. Ustin (Remote. Sens., 2020)

Investigating Live Fuel Moisture Content Estimation in Fire-Prone Shrubland from Remote Sensing Using Empirical Modelling and RTM Simulations. - Eva Marino; Marta Yebra; Mariluz Guillén-Climent; Nur Algeet; José Luis Tomé; Javier Madrigal 002; Mercedes Guijarro; Carmen Hernando 002 (Remote. Sens., 2020)

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. - Long Wang 017; Xingwen Quan; Binbin He; Marta Yebra; Minfeng Xing; Xiangzhuo Liu (Remote. Sens., 2020)

Remote Sensing of Burn Severity Using Coupled Radiative Transfer Model: A Case Study on Chinese Qinyuan Pine Fires. - Changming Yin; Binbin He; Xingwen Quan; Marta Yebra; Gengke Lai (Remote. Sens., 2020)

Global fuel moisture content mapping from MODIS. - Xingwen Quan; Marta Yebra; David Riaño 002; Binbin He; Gengke Lai; Xiangzhuo Liu (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Global trends in vegetation seasonality in the GIMMS NDVI3g and their robustness. - Wentao Ye; Albert I. J. M. van Dijk; Alfredo Huete; Marta Yebra (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Modelling wildfire occurrence at regional scale from land use/cover and climate change scenarios. - Lara Vilar; Sixto Herrera; E. Tafur-García; Marta Yebra; Javier Martinez-Vega; Pilar Echavarría; María Pilar Martín (Environ. Model. Softw., 2021)

Relationships between Burn Severity and Environmental Drivers in the Temperate Coniferous Forest of Northern China. - Changming Yin; Minfeng Xing; Marta Yebra; Xiangzhuo Liu (Remote. Sens., 2021)

Multi-modal temporal CNNs for live fuel moisture content estimation. - Lynn Miller; Liujun Zhu; Marta Yebra; Christoph Rüdiger; Geoffrey I. Webb (Environ. Model. Softw., 2022)

RADAR-Vegetation Structural Perpendicular Index (R-VSPI) for the Quantification of Wildfire Impact and Post-Fire Vegetation Recovery. - Aakash Chhabra; Christoph Rüdiger; Marta Yebra; Thomas Jagdhuber; James Hilton 001 (Remote. Sens., 2022)

IoT Ground Sensing Systems for Early Wildfire Detection: Technologies, Challenges and Opportunities. - Chiu Chun Chan; Sheeraz A. Alvi; Xiangyun Zhou 001; Salman Durrani; Nicholas Wilson; Marta Yebra (CoRR, 2023)

Improving wildfire occurrence modelling by integrating time-series features of weather and fuel moisture content. - Xingwen Quan; Wenli Wang; Qian Xie; Binbin He; Víctor Resco de Dios; Marta Yebra; Miao Jiao; Rui Chen (Environ. Model. Softw., 2023)

A Survey on IoT Ground Sensing Systems for Early Wildfire Detection: Technologies, Challenges, and Opportunities. - Chiu Chun Chan; Sheeraz A. Alvi; Xiangyun Zhou 001; Salman Durrani; Nicholas Wilson; Marta Yebra (IEEE Access, 2024)

Examining the Transferability of Remote-Sensing-Based Models of Live Fuel Moisture Content for Predicting Wildfire Characteristics. - Edna Guk; Avi Bar Massada; Marta Yebra; Gianluca Scortechini; Noam Levin (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)