Mariela Soto-Berelov
Orcid: 0000-0003-1285-1622
According to our database1,
Mariela Soto-Berelov
authored at least 27 papers
between 2012 and 2024.
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Bibliography
2024
Are fire intensity and burn severity associated? Advancing our understanding of FRP and NBR metrics from Himawari-8/9 and Sentinel-2.
Int. J. Appl. Earth Obs. Geoinformation, 2024
Mapping Stony Rise Landforms with Remote Sensing and Geophysical Data Using a Machine Learning Approach.
Proceedings of the IGARSS 2024, 2024
Exploring the Utility of Next-Generation Geostationary Observations for Wildfire Impact and Burn Severity Assessment.
Proceedings of the IGARSS 2024, 2024
2023
Using Landsat time series and bi-temporal GEDI to compare spectral and structural vegetation responses after fire.
Int. J. Appl. Earth Obs. Geoinformation, August, 2023
One year of near-continuous fire monitoring on a continental scale: Comparing fire radiative power from polar-orbiting and geostationary observations.
Int. J. Appl. Earth Obs. Geoinformation, March, 2023
2022
Remote. Sens., 2022
2021
Remote. Sens., 2021
A reference data framework for the application of satellite time series to monitor forest disturbance.
Int. J. Appl. Earth Obs. Geoinformation, 2021
2020
Landsat Time-Series for Estimating Forest Aboveground Biomass and Its Dynamics across Space and Time: A Review.
Remote. Sens., 2020
Monitoring aboveground forest biomass dynamics over three decades using Landsat time-series and single-date inventory data.
Int. J. Appl. Earth Obs. Geoinformation, 2020
A satellite data driven approach to monitoring and reporting fire disturbance and recovery across boreal and temperate forests.
Int. J. Appl. Earth Obs. Geoinformation, 2020
2019
Estimate Forest Biomass Dynamics Using Multi-Temporal Lidar And Single-Date Inventory Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
A Comparison of Imputation Approaches for Estimating Forest Biomass Using Landsat Time-Series and Inventory Data.
Remote. Sens., 2018
Using Landsat Spectral Indices in Time-Series to Assess Wildfire Disturbance and Recovery.
Remote. Sens., 2018
A New Semi-Automatic Seamless Cloud-Free Landsat Mosaicing Approach Tracks Forest Change Over Large Extents.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2015
Mapping Forest Canopy Height Across Large Areas by Upscaling ALS Estimates with Freely Available Satellite Data.
Remote. Sens., 2015
2013
The impact of sensor characteristics for obtaining accurate ground-based measurements of LAI.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
Woody vegetation landscape feature generation from multispectral and LiDAR data (A CRCSI 2.07 woody attribution paper).
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
A collaborative framework for vegetated systems research: A perspective from Victoria, Australia.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
2012
Proceedings of the Geospatial Science Research 2 Symposium, 2012
Deriving Metrics of Vertical Structure at the Plot Level for Use in Regional Characterisation of S.E. Australian Forests.
Proceedings of the Geospatial Science Research 2 Symposium, 2012
Field Sampling Protocol for Foliage Chemistry Assessment: Applicability over Varied Forest Sites in Australia.
Proceedings of the Geospatial Science Research 2 Symposium, 2012
Proceedings of the Geospatial Science Research 2 Symposium, 2012
Here, There, or Everywhere? An Accuracy Assessment and the Influence of Ecoregions in the Spatial Distribution of Errors in a Vegetation Land Cover Mapping Assessment of Victoria, Australia.
Proceedings of the Geospatial Science Research 2 Symposium, 2012
Key Attributes for Monitoring and Assessment of Australian Forests: A Land Management Perspective.
Proceedings of the Geospatial Science Research 2 Symposium, 2012