Antonio Ferraz

Orcid: 0000-0002-5328-5471

According to our database1, Antonio Ferraz authored at least 20 papers between 2010 and 2023.

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Bibliography

2023
Investigating the Impact of Point Cloud Density on Semantic Segmentation Performance Using Virtual Lidar in Boreal Forest.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Modelling the Dependence of Chlorophyll Leaf-Clip Measures on Vegetation Indices Derived from Multispectral UAS Images in Vineyards Parcels.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Digital 3D Documentation Curation Platform for Cultural Heritage Sites.
Proceedings of the GCH 2022, 2022

2019
A Comparative Assessment of the Performance of Individual Tree Crowns Delineation Algorithms from ALS Data in Tropical Forests.
Remote. Sens., 2019

2018
Comparison of Small- and Large-Footprint Lidar Characterization of Tropical Forest Aboveground Structure and Biomass: A Case Study From Central Gabon.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

In Situ Reference Datasets From the TropiSAR and AfriSAR Campaigns in Support of Upcoming Spaceborne Biomass Missions.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Fusion of NASA Airborne Snow Observatory (ASO) Lidar Time Series over Mountain Forest Landscapes.
Remote. Sens., 2018

Improving Carbon Estimation of Large Tropical Trees by Linking Airborne Lidar Crown Size to Field Inventory.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Fusion of Multiple Low-Resolution NASA Airborne Snow Observatory (ASO) Lidar Data for Forest Vegetation Structure Caracterization.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Impacts of Airborne Lidar Pulse Density on Estimating Biomass Stocks and Changes in a Selectively Logged Tropical Forest.
Remote. Sens., 2017

Registration of multiple low resolution nasa airborne snow observatory (ASO) lidar data for forest vegetation structure caracterization.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
International Benchmarking of the Individual Tree Detection Methods for Modeling 3-D Canopy Structure for Silviculture and Forest Ecology Using Airborne Laser Scanning.
IEEE Trans. Geosci. Remote. Sens., 2016

Airborne Lidar Estimation of Aboveground Forest Biomass in the Absence of Field Inventory.
Remote. Sens., 2016

2015
Canopy Density Model: A New ALS-Derived Product to Generate Multilayer Crown Cover Maps.
IEEE Trans. Geosci. Remote. Sens., 2015

2014
Individual tree segmentation over large areas using airborne LiDAR point cloud and very high resolution optical imagery.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Large scale road network extraction in forested moutainous areas using airborne laser scanning data.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013
Large-scalewater classification of coastal areas using airborne topographic lidar data.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Single strata canopy cover estimation using airborne laser scanning data.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

2012
Comparing small-footprint lidar and forest inventory data for single strata biomass estimation - A case study over a multi-layered mediterranean forest.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2010
3D segmentation of forest structure using a mean-shift based algorithm.
Proceedings of the International Conference on Image Processing, 2010


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