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Convolutional Neural Networks accurately predict cover fractions of plant species and communities in Unmanned Aerial Vehicle imagery
Convolutional Neural Networks (CNN) deep learning invasive species orthophoto remote sensing tree species Unmanned Aerial Vehicles (UAV) vegetation succession
2024/1/19
Unmanned Aerial Vehicles (UAV) greatly extended our possibilities to acquire high resolution remote sensing data for assessing the spatial distribution of species composition and vegetation characteri...
Unmanned aerial vehicle based measurement of urban forests
Allometry Lidar Structure from motion Unmanned aerial vehicles
2024/1/19
Urban forests are dynamic and change in response to both human and natural forces. To effectively monitor and manage urban forests, periodic inventories are needed to ensure that information about the...
Using unmanned aerial vehicle for identifying the vegetative vigor and quantify the area occupied by eucalyptus sprouts after chemical weeding in the state of Bahia, Brazil
Geotechnology Health of plants Precision?forestry Supervised classification
2024/1/12
Currently, the efficiency of chemical weeding for controlling eucalyptus sprouts is measured by field sampling, but the inefficiency of the sampling methods has led to the investigation of new technol...
Monitoring hourly night-time light by an unmanned aerial vehicle and its implications to satellite remote sensing
Night-time light Unmanned aerial vehicle Hourly dynamic Urban function Spectral analysis
2023/12/21
Satellite-observed night-time light in urban areas has been widely used as an indicator for socioeconomic development and light pollution. Up to present, the diurnal dynamics of city light during the ...
Ergonomic Impact of Multi-rotor Unmanned Aerial Vehicle Noise in Warehouse Environments
Unmanned Aerial Vehicle (UAV) Noise Human subject MANOVA
2023/12/21
Small multi-rotor unmanned aerial vehicles (UAVs) are poised to revolutionize commercial and logistics sectors through their versatility, maneuverability, and rapidly increasing sophistication and dec...
Assessment of an improved individual tree detection method based on local-maximum algorithm from unmanned aerial vehicle RGB imagery in overlapping canopy mountain forests
CROWN DETECTION POINT CLOUDS UAV IMAGERY SEGMENTATION DELINEATION LIDAR INVENTORY HEIGHT FIELD
2023/12/15
Low consumer-grade cameras attached to small unmanned aerial vehicles (UAV) can easily acquire high spatial resolution images, leading to convenient forest monitoring at small-scales for forest manage...
Determination of Riparian Vegetation Biomass from an Unmanned Aerial Vehicle (UAV)
precision forestry unmanned aerial vehicle image analysis crown detection biomass river analysis
2023/12/4
The need to rely on accurate information about the wood biomass available in riparian zones under management, inspired the land reclamation authority of southern Tuscany to develop a research based on...
Forest Farm Fire Drone Monitoring System Based on Deep Learning and Unmanned Aerial Vehicle Imagery
Forest Farm Fire Monitoring System Deep Learning
2023/12/1
Forest fires represent one of the main problems threatening forest sustainability. Therefore, an early prevention system of forest fire is urgently needed. To address the problem of forest farm fire m...
Combining Different Transformations of Ground Hyperspectral Data with Unmanned Aerial Vehicle (UAV) Images for Anthocyanin Estimation in Tree Peony Leaves
hyperspectral tree peony anthocyanin (Anth) unmanned aerial vehicle (UAV)
2023/11/30
To explore rapid anthocyanin (Anth) detection technology based on remote sensing (RS) in tree peony leaves, we considered 30 species of tree peonies located in Shaanxi Province, China. We used an SVC ...
AGB Estimation in a Tropical Mountain Forest (TMF) by Means of RGB and Multispectral Images Using an Unmanned Aerial Vehicle (UAV)
forest AGB UAV RGB data multispectral data
2024/2/4
The present investigation evaluates the accuracy of estimating above-ground biomass (AGB) by means of two different sensors installed onboard an unmanned aerial vehicle (UAV) platform (DJI Inspire I) ...
RAPID MAPPING OF FORESTED LANDSLIDE FROM ULTRA-HIGH RESOLUTION UNMANNED AERIAL VEHICLE DATA
UAV landslide object-based image analysis Bartı n Black Sea Region rapid mapping
2018/4/18
The Black Sea Region is one of the most landslide prone area due to the high slope gradients, heavy rainfall and highly weathered hillslope material conditions in Turkey. The landslide occurrences in ...
RAPID MAPPING OF FORESTED LANDSLIDE FROM ULTRA-HIGH RESOLUTION UNMANNED AERIAL VEHICLE DATA
UAV landslide object-based image analysis Bartı n Black Sea Region rapid mapping
2018/5/8
The Black Sea Region is one of the most landslide prone area due to the high slope gradients, heavy rainfall and highly weathered hillslope material conditions in Turkey. The landslide occurrences in ...