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Classification of Toona Sinensis Young Leaves Using Machine Learning And UAV-Borne Hyperspectral Imagery
Classification Toona Sinensis Young Leaves
2023/6/2
Rapid and accurate distinction between young and old leaves of Toona sinensis in the wild is of great significance to the selection of T. sinensis varieties and the evaluation of relative yield. In th...
A COMPARISON OF OBJECT-BASED AND PIXEL-BASED APPROACHES TO ESTIMATE LIDAR-MEASURED FOREST CANOPY HEIGHT USING QUICKBIRD IMAGERY
Canopy height Geographic object-based image analysis
2015/11/16
Canopy surface height (CSH) is a significant forest biophysical parameter to estimate above-ground biomass and carbon content.
High- spatial resolution optical remotely sensed data have shown promis...
Use of Topographic Factors for Object-based Forest Type Classification with High Resolution Satellite Imagery
IKONOS object-based forest type classification ridge line thalweg topographic factor
2009/8/21
The classification of forest type by aerial photo interpretation is usually based on color and texture of the image, and also from knowledge of the relationship between vegetation and topography. In t...
Use of Topographic Factors for Object-based Forest Type Classification with High Resolution Satellite Imagery
IKONOS object-based forest type classification ridge line thalweg topographic factor
2009/8/18
The classification of forest type by aerial photo interpretation is usually based on color and texture of the image, and also from knowledge of the relationship between vegetation and topography. In t...
Use of Topographic Factors for Object-based Forest Type Classification with High Resolution Satellite Imagery
IKONOS object-based forest type classification ridge line thalweg topographic factor
2009/8/21
The classification of forest type by aerial photo interpretation is usually based on color and texture of the image, and also from knowledge of the relationship between vegetation and topography. In t...
Detecting and mapping mountain pine beetle red-attack damage with SPOT-5 10-m multispectral imagery
detection mountain pine beetle red-attack remote sensing SPOT-5
2009/2/11
The objective of this study was to gauge the effectiveness of using SPOT-5 10-m multispectral imagery to detect and map red-attack damage for an area near Cranbrook, British Columbia, Canada. A logist...