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Wheat Lodging Detection from UAS Imagery Using Machine Learning Algorithms
precision agriculture field crops machine learning deep learning image processing textural features
2023/12/21
The current mainstream approach of using manual measurements and visual inspections for crop lodging detection is inefficient, time-consuming, and subjective. An innovative method for wheat lodging de...
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...
How BFAST Trend and Seasonal Model Components Affect Disturbance Detection in Tropical Dry Forest and Temperate Forest
Landsat NDVI deforestation forest degradation magnitude of change goodness-of-fit amplitude
2023/12/8
Time series analysis has gained popularity in forest disturbance monitoring thanks to the availability of satellite and airborne remote sensing images and the development of different time series meth...
Failure Detection in Eucalyptus Plantation Based on UAV Images
UAV remote sensing forest plantation number of failures relative location
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 ...
Voxel-Based Automatic Tree Detection and Parameter Retrieval from Terrestrial Laser Scans for Plot-Wise Forest Inventory
remote sensing forest inventory terrestrial laser scanning point cloud processing automatic tree extraction stem curve tree height TLS benchmarking
2023/12/6
This paper presents a fully automatic method addressing tree mapping and parameter extraction (tree position, stem diameter at breast height, stem curve, and tree height) from terrestrial laser scans ...
Improving Estimates and Change Detection of Forest Above-Ground Biomass Using Statistical Methods
above-ground biomass remote sensing statistics modelling spatial modelling machine learning
2023/11/29
Forests store approximately as much carbon as is in the atmosphere, with potential to take in or release carbon rapidly based on growth, climate change and human disturbance. Above-ground biomass (AGB...
Detection of Coniferous Seedlings in UAV Imagery
Detection Coniferous Seedlings UAV Imagery
2024/2/28
Rapid assessment of forest regeneration using unmanned aerial vehicles (UAVs) is likely to decrease the cost of establishment surveys in a variety of resource industries. This research tests the feasi...
MULTI-TEMPORAL CLASSIFICATION AND CHANGE DETECTION USING UAV IMAGES
Change Detection Random Forest Fully Connected CRF UAV images
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...