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Determining rapeseed lodging angles and types for lodging phenotyping using morphological traits derived from UAV images
rapeseed lodging angles lodging phenotyping UAV images
2024/4/1
Crop lodging detrimentally affects crop yield and mechanical harvest efficiency. Traditional remote sensing-based methods primarily focus on the identification and area extraction of lodging using ima...
Monitoring Three-Decade Expansion of China's Major Cities Based on Satellite Remote Sensing Images
urbanization satellite remote sensing urban expansion trajectories urban village north-south differentiation
2024/1/12
As the largest developing country, China has experienced dramatic urban expansion since the "reform and opening-up" policy started at the end of the 1970s. In this paper, we monitor three decades of u...
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 ...
Research on the Temporal and Spatial Distributions of Standing Wood Carbon Storage Based on Remote Sensing Images and Local Models
remote sensing GWR MGWR TWR GTWR standing wood carbon storage
2023/12/6
Background and Objectives: It is important to understand the temporal and spatial distributions of standing wood carbon storage in forests to maintain ecological balance and forest dynamics. Such info...
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
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
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 ...
Revealing the Structure and Composition of the Restored Vegetation Cover in Semi-Arid Mine Dumps Based on LiDAR and Hyperspectral Images
ecological restoration hierarchical classification vegetation structure LiDAR vegetation species
2023/12/1
Remotely sensed images with low resolution can be effectively used for the large-area monitoring of vegetation restoration, but are unsuitable for accurate small-area monitoring. This limits researche...
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 ...
A Hybrid Classification of Imbalanced Hyperspectral Images Using ADASYN and Enhanced Deep Subsampled Multi-Grained Cascaded Forest
hyperspectral image imbalanced data oversampling adaptive synthetic sampling tree-based classifier subsampling deep multi-grained cascade forest
2023/11/29
Hyperspectral image (HSI) analysis generally suffers from issues such as high dimensionality, imbalanced sample sets for different classes, and the choice of classifiers for artificially balanced data...
Tropical Forest Disturbance Monitoring Based on Multi-Source Time Series Satellite Images and the LandTrendr Algorithm
Hainan Island forest disturbances LandTrendr Google Earth engine
2023/11/22
Monitoring disturbances in tropical forests is important for assessing disturbance-related greenhouse gas emissions and the ability of forests to sequester carbon, and for formulating strategies for s...
Influence of Drone Altitude, Image Overlap, and Optical Sensor Resolution on Multi-View Reconstruction of Forest Images
UAV drone-based remote sensing geometric image resolution multi-view reconstruction reconstruction efficiency reconstruction quality structure from motion precision forestry
2024/2/4
Recent technical advances in drones make them increasingly relevant and important tools for forest measurements. However, information on how to optimally set flight parameters and choose sensor resolu...
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) ...
QUALITY FEATURES FOR THE INTEGRATION OF TERRESTRIAL AND UAV IMAGES
photogrammetry data fusion terrestrial images UAV
2019/3/1
The paper presents an innovative approach for improving the orientation results when terrestrial and UAV images are jointly processed. With the existing approaches, the processing of images coming fro...
SPECTRAL-SPATIAL CLASSIFICATION OF HYPERSPECTRAL REMOTE SENSING IMAGES USING VARIATIONAL AUTOENCODER AND CONVOLUTION NEURAL NETWORK
Hyperspectral classification feature extraction spectral channels deep learning
2019/2/28
In this paper, we propose a spectral-spatial feature extraction framework based on deep learning (DL) for hyperspectral image (HSI) classification. In this framework, the variational autoencoder (VAE)...
A MULTI THREADED FEATURE EXTRACTION TOOL FOR SAR IMAGES USING OPEN SOURCE SOFTWARE LIBRARIES
software architecture feature extraction SAR images remote sensing applications algorithms of high complexity multi-threaded platform
2019/2/27
In this paper, we propose a software architecture for a feature extraction tool which is suitable for automatic extraction of sparse features from large remote sensing data capable of using higher ord...