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2020 – today
- 2024
[j22]Edna Guk
, Avi Bar Massada, Marta Yebra, Gianluca Scortechini, Noam Levin:
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. 17: 14762-14776 (2024)- 2023
- [j21]Xingwen Quan, Wenli Wang, Qian Xie, Binbin He, Víctor Resco de Dios, Marta Yebra, Miao Jiao, Rui Chen:
Improving wildfire occurrence modelling by integrating time-series features of weather and fuel moisture content. Environ. Model. Softw. 170: 105840 (2023) - [i1]Chiu Chun Chan, Sheeraz A. Alvi, Xiangyun Zhou, Salman Durrani, Nicholas Wilson, Marta Yebra:
IoT Ground Sensing Systems for Early Wildfire Detection: Technologies, Challenges and Opportunities. CoRR abs/2312.10919 (2023) - 2022
- [j20]Lynn Miller, Liujun Zhu, Marta Yebra, Christoph Rüdiger, Geoffrey I. Webb:
Multi-modal temporal CNNs for live fuel moisture content estimation. Environ. Model. Softw. 156: 105467 (2022) - [j19]Aakash Chhabra, Christoph Rüdiger, Marta Yebra, Thomas Jagdhuber, James Hilton:
RADAR-Vegetation Structural Perpendicular Index (R-VSPI) for the Quantification of Wildfire Impact and Post-Fire Vegetation Recovery. Remote. Sens. 14(13): 3132 (2022) - 2021
- [j18]Wentao Ye, Albert I. J. M. van Dijk, Alfredo Huete, Marta Yebra:
Global trends in vegetation seasonality in the GIMMS NDVI3g and their robustness. Int. J. Appl. Earth Obs. Geoinformation 94: 102238 (2021) - [j17]Xingwen Quan, Marta Yebra, David Riaño, Binbin He, Gengke Lai, Xiangzhuo Liu:
Global fuel moisture content mapping from MODIS. Int. J. Appl. Earth Obs. Geoinformation 101: 102354 (2021) - [j16]Lara Vilar, Sixto Herrera, E. Tafur-García, Marta Yebra, Javier Martinez-Vega, Pilar Echavarría, María Pilar Martín:
Modelling wildfire occurrence at regional scale from land use/cover and climate change scenarios. Environ. Model. Softw. 145: 105200 (2021) - [j15]Changming Yin, Minfeng Xing, Marta Yebra, Xiangzhuo Liu:
Relationships between Burn Severity and Environmental Drivers in the Temperate Coniferous Forest of Northern China. Remote. Sens. 13(24): 5127 (2021) - 2020
- [j14]Li Liu, Samsung Lim, Xuesong Shen, Marta Yebra:
Assessment of generalized allometric models for aboveground biomass estimation: A case study in Australia. Comput. Electron. Agric. 175: 105610 (2020) - [j13]Long Wang, Xingwen Quan, Binbin He, Marta Yebra, Minfeng Xing, Xiangzhuo Liu:
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. 12(2): 206 (2020) - [j12]Mariano García, David Riaño, Marta Yebra, Javier Salas, Adrián Cardil, Santiago Monedero, Joaquín Ramírez, M. Pilar Martín, Lara Vilar, John Gajardo, Susan L. Ustin:
A Live Fuel Moisture Content Product from Landsat TM Satellite Time Series for Implementation in Fire Behavior Models. Remote. Sens. 12(11): 1714 (2020) - [j11]Eva Marino, Marta Yebra, Mariluz Guillén-Climent, Nur Algeet, José Luis Tomé, Javier Madrigal, Mercedes Guijarro, Carmen Hernando:
Investigating Live Fuel Moisture Content Estimation in Fire-Prone Shrubland from Remote Sensing Using Empirical Modelling and RTM Simulations. Remote. Sens. 12(14): 2251 (2020) - [j10]Changming Yin, Binbin He, Xingwen Quan, Marta Yebra, Gengke Lai:
Remote Sensing of Burn Severity Using Coupled Radiative Transfer Model: A Case Study on Chinese Qinyuan Pine Fires. Remote. Sens. 12(21): 3590 (2020)
2010 – 2019
- 2019
- [j9]Li Liu, Samsung Lim, Xuesong Shen, Marta Yebra:
A hybrid method for segmenting individual trees from airborne lidar data. Comput. Electron. Agric. 163 (2019) - [j8]Li Liu, Samsung Lim, Xuesong Shen, Marta Yebra:
A multiscale morphological algorithm for improvements to canopy height models. Comput. Geosci. 130: 20-31 (2019) - [j7]Long Wang, Xingwen Quan, Binbin He, Marta Yebra, Minfeng Xing, Xiangzhuo Liu:
Assessment of the Dual Polarimetric Sentinel-1A Data for Forest Fuel Moisture Content Estimation. Remote. Sens. 11(13): 1568 (2019) - [c6]Andrea Massetti, Christoph Rüdiger, Marta Yebra, James E. Hilton:
Estimation of Forest Structure with the Vegetation Structure Perpendicular Index (VSPI) for Dynamic Fire Spread Simulations. IGARSS 2019: 6704-6707 - [c5]Changming Yin, Binbin He, Marta Yebra, Xingwen Quan, Andrew C. Edwards, Xiangzhuo Liu, Zhanmang Liao, Kaiwei Luo:
Burn Severity Estimation in Northern Australia Tropical Savannas Using Radiative Transfer Model and Sentinel-2 Data. IGARSS 2019: 6712-6715 - [c4]Qidi Shu, Xingwen Quan, Marta Yebra, Xiangzhuo Liu, Long Wang, Yang Zhang:
Evaluating the Sentinel-2a Satellite Data for Fuel Moisture Content Retrieval. IGARSS 2019: 9416-9419 - 2018
- [j6]Xiangzhuo Liu, Binbin He, Xingwen Quan, Marta Yebra, Shi Qiu, Changming Yin, Zhanmang Liao, Hongguo Zhang:
Near Real-Time Extracting Wildfire Spread Rate from Himawari-8 Satellite Data. Remote. Sens. 10(10): 1654 (2018) - [c3]Marta Yebra, Xingwen Quan, David Riaño, Pablo Rozas Larraondo, Albert I. J. M. van Dijk, Geoff J. Cary:
Mapping Live Fuel Moisture Content and Flammability for Continental Australia Using Optical Remote Sensing. IGARSS 2018: 5903-5906 - [c2]Andrea Massetti, Christoph Rüdiger, Marta Yebra, James E. Hilton:
The Vegetation Structure Perpendicular Index for Wildfire Severity and Forest Recovery Monitoring. IGARSS 2018: 5929-5932 - [c1]Xingwen Quan, Binbin He, Marta Yebra, Xiangzhuo Liu, Xiaofang Liu, Xiaodong Zhang, Hui Cao:
Retrieval of Fuel Moisture Content from Himawari-8 Product: Towards Real-Time Wildfire Risk Assessment. IGARSS 2018: 7660-7663 - 2017
- [j5]Xingwen Quan, Binbin He, Marta Yebra, Changming Yin, Zhanmang Liao, Xueting Zhang, Xing Li:
A radiative transfer model-based method for the estimation of grassland aboveground biomass. Int. J. Appl. Earth Obs. Geoinformation 54: 159-168 (2017) - [j4]Xingwen Quan, Binbin He, Marta Yebra, Changming Yin, Zhanmang Liao, Xing Li:
Retrieval of forest fuel moisture content using a coupled radiative transfer model. Environ. Model. Softw. 95: 290-302 (2017) - [j3]Yang Chen, Xuan Zhu, Marta Yebra, Sarah Harris, Nigel Tapper:
Development of a predictive model for estimating forest surface fuel load in Australian eucalypt forests with LiDAR data. Environ. Model. Softw. 97: 61-71 (2017) - 2016
- [j2]Suzanne M. Marselis, Marta Yebra, Tom Jovanovic, Albert I. J. M. van Dijk:
Deriving comprehensive forest structure information from mobile laser scanning observations using automated point cloud classification. Environ. Model. Softw. 82: 142-151 (2016)
2000 – 2009
- 2009
- [j1]Marta Yebra, Emilio Chuvieco:
Generation of a Species-Specific Look-Up Table for Fuel Moisture Content Assessment. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 2(1): 21-26 (2009)
Coauthor Index
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