Mariela Soto-Berelov

Orcid: 0000-0003-1285-1622

According to our database1, Mariela Soto-Berelov authored at least 24 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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On csauthors.net:

Bibliography

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
Intercomparison of Real and Simulated GEDI Observations across Sclerophyll Forests.
Remote. Sens., 2022

2021
Towards the Spectral Mapping of Plastic Debris on Beaches.
Remote. Sens., 2021

Quantifying Marine Plastic Debris in a Beach Environment Using Spectral Analysis.
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

MAUP and LiDAR derived canopy structure (A CRCSI 2.07 woody attribution paper).
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
Searching for the Optimal Sampling Design for Measuring LAI in an Upland Rainforest.
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

A Revised Map of Plant Geographical Regions of the Southern Levant.
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


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