A novel method for cliff vegetation estimation based on the unmanned aerial vehicle 3D modeling

Article Environmental Sciences

Towards accurate mapping of forest in tropical landscapes: A comparison of datasets on how forest transition matters

Ruben Ferrer Velasco et al.

Summary: Tropical forests are shrinking rapidly, posing a threat to their ecosystem services. Despite challenges, a study has developed a method to generate accurate forest maps using remote sensing data.

REMOTE SENSING OF ENVIRONMENT (2022)

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Article Multidisciplinary Sciences

Comparison of multi-class and fusion of multiple single-class SegNet model for mapping karst wetland vegetation using UAV images

Tengfang Deng et al.

Summary: This study proposes a novel approach to classify karst wetland vegetation using deep learning algorithms and UAV images, and evaluates the effect of different models and algorithms on classification accuracy. The results show that the fusion of multiple single-class SegNet models outperforms multi-class models, and both the fusion model and object-based RF classifier achieve high accuracy.

SCIENTIFIC REPORTS (2022)

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Article Remote Sensing

A Multi-Colony Social Learning Approach for the Self-Organization of a Swarm of UAVs

Muhammad Shafiq et al.

Summary: This research presents an improved method for the self-organization of a swarm of UAVs based on social learning. By combining optimization path planning and dynamic leader selection, the method effectively organizes randomly positioned UAVs into different formations. Compared to NSGA-II, this method shows better convergence and shorter route planning.

DRONES (2022)

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Article Agronomy

Mapping vegetation-induced obstruction in agricultural ditches: A low-cost and flexible approach by UAV-SfM

Sara Cucchiaro et al.

Summary: Efficient drainage network plays a critical role in irrigation and flood control in cultivated areas. Monitoring vegetation growth and its impact on ditch cross-section is essential for water resource and flood risk management. Advances in high-resolution topographic technologies, along with UAV-SfM survey, offer rapid and low-cost solutions for mapping vegetation obstruction in channel networks.

AGRICULTURAL WATER MANAGEMENT (2021)

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Article Environmental Sciences

Structure-from-Motion-Derived Digital Surface Models from Historical Aerial Photographs: A New 3D Application for Coastal Dune Monitoring

Edoardo Grottoli et al.

Summary: Recent advances in structure-from-motion techniques have led to the widespread use of UAVs in monitoring coastal landform changes, with the best method resulting in an error value of 0.93 m. The application of modern SfM methodology to historical aerial photography analysis is a novel and reliable approach for quantifying coastal dune volume changes.

REMOTE SENSING (2021)

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Article Environmental Sciences

Monitoring restored tropical forest diversity and structure through UAV-borne hyperspectral and lidar fusion

Danilo Roberti Alves de Almeida et al.

Summary: Remote sensors, particularly UAV-borne lidar and hyperspectral data, offer a promising technology for monitoring forest restoration projects. By combining these two types of data, it is possible to accurately assess vegetation diversity and structure, leading to improved decision-making processes in restoration efforts.

REMOTE SENSING OF ENVIRONMENT (2021)

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Article Environmental Sciences

DSM Generation from Single and Cross-Sensor Multi-View Satellite Images Using the New Agisoft Metashape: The Case Studies of Trento and Matera (Italy)

Lorenzo Lastilla et al.

Summary: This study quantifies the potential of the new Agisoft Metashape satellite processing module, evaluated the accuracy of the generated DSMs in different case studies, and highlighted the significant impact of RPC refinement on DSM accuracy.

REMOTE SENSING (2021)

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Article Plant Sciences

Impacts of rock climbing on cliff vegetation: A methods review and best practices

Laura M. Boggess et al.

Summary: Current research on the impact of climbing on vegetation shows variations in methods and conclusions, highlighting the need for standardization to generate more consistent and reliable results. Standardizing methods, such as using climbed and unclimbed transects or considering climbing intensity as a metric, will lead to more accurate information for climbing management plans and cliff conservation efforts.

APPLIED VEGETATION SCIENCE (2021)

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Article Plant Sciences

A model for phenotyping crop fractional vegetation cover using imagery from unmanned aerial vehicles

Liang Wan et al.

Summary: The study introduces an ensemble modeling strategy to retrieve crop FVC from UAV images with high accuracy across multiple field experiments for various crops. This method shows great potential for precision crop breeding.

JOURNAL OF EXPERIMENTAL BOTANY (2021)

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Article Environmental Sciences

3D Reconstruction of Coastal Cliffs from Fixed-Wing and Multi-Rotor UAS: Impact of SfM-MVS Processing Parameters, Image Redundancy and Acquisition Geometry

Gil Goncalves et al.

Summary: This study analyzed the key parameters and image acquisition strategies for generating cliff point clouds using Structure-from-Motion and Multi View Stereo technology on drones. The results showed that optimizing parameters and reducing image overlap can improve the accuracy and density of the point cloud.

REMOTE SENSING (2021)

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Article Environmental Sciences

Integrative 3D Geological Modeling Derived from SWIR Hyperspectral Imaging Techniques and UAV-Based 3D Model for Carbonate Rocks

Huy Hoa Huynh et al.

Summary: This study demonstrates an integrative 3D model of SWIR hyperspectral mapping and UAV-based DEM for carbonate rock outcrops. The spectral indices derived from SWIR hyperspectral images showed high accuracy in distinguishing limestone and dolostone, providing better applicability for real world cases. The integrative 3D geological model developed by co-registration between hyperspectral map and UAV-based DEM revealed additional geological information of the outcrop, such as thickness, slope, and rock classification.

REMOTE SENSING (2021)

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Article Ecology

Opening a new era of investigating unreachable cliff flora using smart UAVs

Hui Zhou et al.

Summary: The study provides the first comprehensive checklist of cliff flora based on high-resolution imagery in a remote region of China, revealing unique floristic patterns and the potential for further investigation using smart UAS technology.

REMOTE SENSING IN ECOLOGY AND CONSERVATION (2021)

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Article Environmental Sciences