4.6 Article

Riparian ecosystems mapping at fine scale: a density approach based on multi-temporal UAV photogrammetric point clouds

Related references

Note: Only part of the references are listed.
Article Environmental Sciences

A Density-Based Algorithm for the Detection of Individual Trees from LiDAR Data

Melissa Latella et al.

Summary: This study introduces a novel LiDAR algorithm for accurate individual tree detection in deciduous forests, with low sensitivity to parameter setup and applicability in low-density point cloud analysis. Additionally, the algorithm demonstrates potential for more complex tools in forest modeling and management.

REMOTE SENSING (2021)

Article Environmental Sciences

Mapping Riparian Habitats of Natura 2000 Network (91E0*, 3240) at Individual Tree Level Using UAV Multi-Temporal and Multi-Spectral Data

Elena Belcore et al.

Summary: In this study, vegetation species of riparian habitats in North-West Italy were monitored at individual tree level using machine learning and a multi-temporal phenology-based approach via UAV. The results showed better performance in multi-epoch phenology-based classification compared to single-epoch classification, with certain vegetation classes significantly influenced by multi-temporality, resulting in an increase in F1 score of 0.3 points.

REMOTE SENSING (2021)

Article Agriculture, Multidisciplinary

Multi-layered tree crown extraction from LiDAR data using graph-based segmentation

Tianyang Dong et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)

Article Remote Sensing

Improving LiDAR-based tree species mapping in Central European mixed forests using multi-temporal digital aerial colour-infrared photographs

Yifang Shi et al.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2020)

Article Environmental Sciences

Individual Tree Detection from UAV Imagery Using Holder Exponent

Elena Belcore et al.

REMOTE SENSING (2020)

Article Remote Sensing

Tree species classification using UAS-based digital aerial photogrammetry point clouds and multispectral imageries in subtropical natural forests

Zhong Xu et al.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2020)

Review Environmental Sciences

lidR: An R package for analysis of Airborne Laser Scanning (ALS) data

Jean-Romain Roussel et al.

REMOTE SENSING OF ENVIRONMENT (2020)

Article Forestry

Individual tree detection and species classification of Amazonian palms using UAV images and deep learning

Matheus Pinheiro Ferreira et al.

FOREST ECOLOGY AND MANAGEMENT (2020)

Article Environmental Sciences

Object-Based Land Cover Classification of Cork Oak Woodlands using UAV Imagery and Orfeo ToolBox

Giandomenico De Luca et al.

REMOTE SENSING (2019)

Article Geography, Physical

Comparison of high-density LiDAR and satellite photogrammetry for forest inventory

Grant D. Pearse et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2018)

Review Ecology

Turquoise is the new green: Restoring and enhancing riparian function in the Anthropocene

Samantha J. Capon et al.

ECOLOGICAL MANAGEMENT & RESTORATION (2018)

Article Remote Sensing

Layer Stacking: A Novel Algorithm for Individual Forest Tree Segmentation from LiDAR Point Clouds

Elias Ayrey et al.

CANADIAN JOURNAL OF REMOTE SENSING (2017)

Article Remote Sensing

Determining tree height and crown diameter from high-resolution UAV imagery

Dimitrios Panagiotidis et al.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2017)

Article Remote Sensing

Layer Stacking: A Novel Algorithm for Individual Forest Tree Segmentation from LiDAR Point Clouds

Elias Ayrey et al.

CANADIAN JOURNAL OF REMOTE SENSING (2017)

Article Computer Science, Interdisciplinary Applications

A scalable approach for tree segmentation within small-footprint airborne LiDAR data

Hamid Hamraz et al.

COMPUTERS & GEOSCIENCES (2017)

Article Environmental Sciences

Advances on Modelling Riparian VegetationHydromorphology Interactions

L. Solari et al.

RIVER RESEARCH AND APPLICATIONS (2016)

Article Agriculture, Multidisciplinary

An automatic object-based method for optimal thresholding in UAV images: Application for vegetation detection in herbaceous crops

J. Torres-Sanchez et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2015)

Article Remote Sensing

PTrees: A point-based approach to forest tree extraction from lidar data

C. Vega et al.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2014)

Review Geochemistry & Geophysics

MODELING THE INTERACTIONS BETWEEN RIVER MORPHODYNAMICS AND RIPARIAN VEGETATION

C. Camporeale et al.

REVIEWS OF GEOPHYSICS (2013)

Article Geography, Physical

Combination of individual tree detection and area-based approach in imputation of forest variables using airborne laser data

Mikko Vastaranta et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2012)

Article Environmental Sciences

Road Target Search and Tracking with Gimballed Vision Sensor on an Unmanned Aerial Vehicle

Per Skoglar et al.

REMOTE SENSING (2012)

Article Environmental Sciences

Unmanned Aerial Vehicle (UAV) for Monitoring Soil Erosion in Morocco

Sebastian d'Oleire-Oltmanns et al.

REMOTE SENSING (2012)