Abstract Three-dimensional (3D) image mapping of real-world scenarios has a great
potential to provide the user with a more accurate scene understanding. This will enable …

Timely and accurate information on tree species (TS) is crucial for developing strategies for
sustainable management and conservation of artificial and natural forests. Over the last four …

Timely and accurate information on the spatial distribution of urban trees is critical for
sustainable urban development, management and planning. Compared with satellite-based …

Remote sensing can be used to collect information related to forest management. Previous
studies demonstrated the potential of using multispectral satellite imagery for classifying tree …

Crop yield prediction has played a vital role in maintaining food security and has been
extensively investigated in recent decades. Most research has focused on excavating fixed …

Electronic nose (E-nose) and hyperspectral image (HSI) were combined to evaluate mutton
total volatile basic nitrogen (TVB-N), which is a comprehensive index of freshness. The …

Multimodal data fusion, eg, hyperspectral image (HSI) and light detection and ranging
(LiDAR) data fusion, plays an important role in object recognition and classification tasks …

Accurate and automatic identification of tree species information at the individual tree scale
is of great significance for fine-scale investigation and management of forest resources and …

Plantation forests provide critical ecosystem services and have experienced worldwide
expansion during the past few decades. Accurate mapping of tree species through remote …

As one of the most devastating disasters to pine forests, pine wilt disease (PWD) has caused
tremendous ecological and economic losses in China. An effective way to prevent large …