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Antonio Ferraz
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2020 – today
- 2024
- [c13]Seungwon Lee, Peter Kalmus, Antonio Ferraz, Alex Goodman, Kyle Pearson, Gary Doran, Flynn Platt, Beichen Hu, Ayesha Ekanayaka, Sudip Chakraborty, Emily Kang, Jia Zhang, Sierra Dahiyat, Kyle Cavanaugh:
Ecopro: Ecological Projection Digital Twin. IGARSS 2024: 2311-1214 - 2023
- [c12]Olivier Stocker, Reza Mahmoudi Kouhi, Éric Guilbert, Antonio Ferraz, Thierry Badard:
Investigating the Impact of Point Cloud Density on Semantic Segmentation Performance Using Virtual Lidar in Boreal Forest. IGARSS 2023: 978-981 - [c11]Gil Gonçalves
, Umberto Andriolo, Lúcio Paiva, Cristiano Premebida, António Ferraz:
Modelling the Dependence of Chlorophyll Leaf-Clip Measures on Vegetation Indices Derived from Multispectral UAS Images in Vineyards Parcels. IGARSS 2023: 2775-2778 - 2022
- [c10]António Ferraz, Rui Nóbrega
Digital 3D Documentation Curation Platform for Cultural Heritage Sites. GCH 2022: 99-102
2010 – 2019
- 2019
- [j8]Mélaine Aubry-Kientz
A Comparative Assessment of the Performance of Individual Tree Crowns Delineation Algorithms from ALS Data in Tropical Forests. Remote. Sens. 11(9): 1086 (2019) - 2018
- [j7]Antonio Ferraz
Fusion of NASA Airborne Snow Observatory (ASO) Lidar Time Series over Mountain Forest Landscapes. Remote. Sens. 10(2): 164 (2018) - [j6]Carlos Alberto Silva
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. 11(10): 3512-3526 (2018) - [j5]Nicolas Labriere, Shengli Tao
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. 11(10): 3617-3627 (2018) - [c9]Antonio Ferraz, Sassan Saatchi, Kat J. Bormann, Thomas H. Painter:
Fusion of Multiple Low-Resolution NASA Airborne Snow Observatory (ASO) Lidar Data for Forest Vegetation Structure Caracterization. IGARSS 2018: 7532-7535 - [c8]Antonio Ferraz, Sassan Saatchi, James Kellner, David B. Clark:
Improving Carbon Estimation of Large Tropical Trees by Linking Airborne Lidar Crown Size to Field Inventory. IGARSS 2018: 8789-8792 - 2017
- [j4]Carlos Alberto Silva
Impacts of Airborne Lidar Pulse Density on Estimating Biomass Stocks and Changes in a Selectively Logged Tropical Forest. Remote. Sens. 9(10): 1068 (2017) - [c7]Antonio Ferraz, Kathryn Bormann, Sassan Saatchi, Thomas H. Painter:
Registration of multiple low resolution nasa airborne snow observatory (ASO) lidar data for forest vegetation structure caracterization. IGARSS 2017: 2764-2767 - 2016
- [j3]Antonio Ferraz
Airborne Lidar Estimation of Aboveground Forest Biomass in the Absence of Field Inventory. Remote. Sens. 8(8): 653 (2016) - [j2]Yunsheng Wang
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. 54(9): 5011-5027 (2016) - 2015
- [j1]Antonio Ferraz
Canopy Density Model: A New ALS-Derived Product to Generate Multilayer Crown Cover Maps. IEEE Trans. Geosci. Remote. Sens. 53(12): 6776-6790 (2015) - 2014
- [c6]Yuchu Qin, Antonio Ferraz
Individual tree segmentation over large areas using airborne LiDAR point cloud and very high resolution optical imagery. IGARSS 2014: 800-803 - [c5]Antonio Ferraz
Large scale road network extraction in forested moutainous areas using airborne laser scanning data. IGARSS 2014: 4315-4318 - 2013
- [c4]Julien Smeeckaert, Clément Mallet
Large-scalewater classification of coastal areas using airborne topographic lidar data. IGARSS 2013: 61-64 - [c3]Antonio Ferraz
Single strata canopy cover estimation using airborne laser scanning data. IGARSS 2013: 184-187 - 2012
- [c2]Antonio Ferraz
Comparing small-footprint lidar and forest inventory data for single strata biomass estimation - A case study over a multi-layered mediterranean forest. IGARSS 2012: 6384-6387 - 2010
- [c1]Antonio Ferraz
3D segmentation of forest structure using a mean-shift based algorithm. ICIP 2010: 1413-1416
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