Danilo Roberti Alves de Almeida
Orcid: 0000-0002-8747-0085
According to our database1,
Danilo Roberti Alves de Almeida
authored at least 18 papers
between 2019 and 2024.
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Bibliography
2024
Revealing forest structural "fingerprints": An integration of LiDAR and deep learning uncovers topographical influences on Central Amazon forests.
Ecol. Informatics, 2024
2023
Crown-Level Structure and Fuel Load Characterization from Airborne and Terrestrial Laser Scanning in a Longleaf Pine (Pinus palustris Mill.) Forest Ecosystem.
Remote. Sens., February, 2023
Modeling Crown-Bulk Density from Airborne and Terrestrial Laser Scanning Data in a Longleaf Pine Forest Ecosystem.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Integrating Spaceborne Lidar Nasa's Gedi With Imaging Sensors To Map Aboveground Biomass In Fragmented Tropical Forests.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
A Conceptual Model for Detecting Small-Scale Forest Disturbances Based on Ecosystem Morphological Traits.
Remote. Sens., 2022
2021
Fusion of Lidar and Hyperspectral Data from Drones for Ecological Questions: The Gatoreye Atlantic Forest Restoration Case Study.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Aboveground Biomass Estimation in Amazonian Tropical Forests: a Comparison of Aircraft- and GatorEye UAV-borne LiDAR Data in the Chico Mendes Extractive Reserve in Acre, Brazil.
Remote. Sens., 2020
Postfire Tree Structure from High-Resolution LiDAR and RBR Sentinel 2A Fire Severity Metrics in a Pinus halepensis-Dominated Burned Stand.
Remote. Sens., 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
2019
Optimizing the Remote Detection of Tropical Rainforest Structure with Airborne Lidar: Leaf Area Profile Sensitivity to Pulse Density and Spatial Sampling.
Remote. Sens., 2019
Monitoring the structure of forest restoration plantations with a drone-lidar system.
Int. J. Appl. Earth Obs. Geoinformation, 2019
Monitoring The Brazilian Savanna with lidar and RGB Sensors Onboard Remotely Piloted Aircraft Systems.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019