Ana Paula Dalla Corte

Orcid: 0000-0001-8529-5554

According to our database1, Ana Paula Dalla Corte authored at least 13 papers between 2015 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2023
Climate-Change-Driven Droughts and Tree Mortality: Assessing the Potential of UAV-Derived Early Warning Metrics.
Remote. Sens., 2023

2022
Fusing multi-season UAS images with convolutional neural networks to map tree species in Amazonian forests.
Ecol. Informatics, 2022

2021
Towards Amazon Forest Restoration: Automatic Detection of Species from UAV Imagery.
Remote. Sens., 2021

UAV-Supported Forest Regeneration: Current Trends, Challenges and Implications.
Remote. Sens., 2021

Does using soil chemical variables in cokriging improve the spatial modelling of the commercial wood volume of Brazilian mahogany in an Amazonian agroforestry system?
Comput. Electron. Agric., 2021

2020
Combined Impact of Sample Size and Modeling Approaches for Predicting Stem Volume in Eucalyptus spp. Forest Plantations Using Field and LiDAR Data.
Remote. Sens., 2020

Comparison of Statistical Modelling Approaches for Estimating Tropical Forest Aboveground Biomass Stock and Reporting Their Changes in Low-Intensity Logging Areas Using Multi-Temporal LiDAR Data.
Remote. Sens., 2020

Single-Pass UAV-Borne GatorEye LiDAR Sampling as a Rapid Assessment Method for Surveying Forest Structure.
Remote. Sens., 2020

Individual Tree Attribute Estimation and Uniformity Assessment in Fast-Growing Eucalyptus spp. Forest Plantations Using Lidar and Linear Mixed-Effects Models.
Remote. Sens., 2020

Measuring Individual Tree Diameter and Height Using GatorEye High-Density UAV-Lidar in an Integrated Crop-Livestock-Forest System.
Remote. Sens., 2020

Forest inventory with high-density UAV-Lidar: Machine learning approaches for predicting individual tree attributes.
Comput. Electron. Agric., 2020

2017
Artificial Intelligence Models to Estimate Biomass of Tropical Forest Trees.
POLIBITS, 2017

2015
Comparison of data mining and allometric model in estimation of tree biomass.
BMC Bioinform., 2015


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