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Failure Detection in Eucalyptus Plantation Based on UAV Images
UAV remote sensing forest plantation number of failures relative location
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2023/12/7
The information of the locations and numbers of failures is crucial to precise management of new afforestation, especially during seedling replanting in young forests. In practice, foresters are more ...
Classifying Individual Shrub Species in UAV Images—A Case Study of the Gobi Region of Northwest China
shrub species classification unmanned aerial vehicle RGB image object-based image analysis spectral indices texture indices
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2023/12/5
Shrublands are the main vegetation component in the Gobi region and contribute considerably to its ecosystem. Accurately classifying individual shrub vegetation species to understand their spatial dis...
Development of Semantic Maps of Vegetation Cover from UAV Images to Support Planning and Management in Fine-Grained Fire-Prone Landscapes
U-Net convolutional neural network (CNN) shrub detection heterogeneous land cover mapping UAV imagery Mediterranean forest
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2023/12/1
In Mediterranean landscapes, the encroachment of pyrophytic shrubs is a driver of more frequent and larger wildfires. The high-resolution mapping of vegetation cover is essential for sustainable land ...
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)
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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 ...
MULTI-TEMPORAL CLASSIFICATION AND CHANGE DETECTION USING UAV IMAGES
Change Detection Random Forest Fully Connected CRF UAV images
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2018/6/4
In this paper different methodologies for the classification and change detection of UAV image blocks are explored. UAV is not only the cheapest platform for image acquisition but it is also the easie...