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作物表型高通量获取和智能解析为高效精准筛选优良种质资源提供技术支撑。2024年来,南京农业大学农学院智慧农业团队的作物表型监测组师生,利用地基激光雷达量化小麦冠层的叶角分布,取得了突破性进展。研究结果2024年4月4日以“Quantify Wheat Canopy Leaf Angle Distribution Using Terrestrial Laser Scanning Data”为题,发表...
Obtaining accurate and widespread measurements of the vertical structure of the Earth’s forests has been a long-sought goal for the ecological community. Such observations are critical for accurately ...
Mapping 3D vegetation structure in wetlands is important for conservation and monitoring. Openly accessible country-wide Airborne Laser Scanning (ALS) data-using light detection and ranging (lidar) te...
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 ...
Mobile laser scanning (MLS) is time-efficient technology of geospatial data collection that proved its ability to provide accurate measurements in many fields. Mobile innovation of the terrestrial la...
With the advantage of Structure from Motion technique, we reconstructed three-dimensional structures from two-dimensional image sequences in a circular plot with a radius of 6 m. The main objective of...
Airborne laser scanning (ALS) is increasingly used in the forestry over time, especially in a forest inventory process. A great potential of ALS lies in providing quick high precision data acquisition...
Vertical structure is important for understanding forest environment, yet difficult to characterize, especially in temperate heterogeneous forests where the structure is complex. This study used data ...
A continuous vegetation profile covering a 600 km transect set up N-S across the boreal forest region of western Canada was obtained by airborne laser altimetry, along with ground-truth measurements o...
Being the most extensively forested region of the world, the carbon budget of the Siberian boreal forest is one of the important subjects of global concern. This study was conducted to quantify leaf a...

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