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Tree species classification of forest stands using multisource remote sensing data
The spatial distribution of forest stands is one of the fundamental properties of forests. Timely
and accurately obtained stand distribution can help people better understand, manage, and …
and accurately obtained stand distribution can help people better understand, manage, and …
[HTML][HTML] On-the-fly olive tree counting using a UAS and cloud services
Unmanned aerial systems (UAS) are becoming a common tool for aerial sensing
applications. Nevertheless, sensed data need further processing before becoming useful …
applications. Nevertheless, sensed data need further processing before becoming useful …
[HTML][HTML] Airborne lidar estimation of aboveground forest biomass in the absence of field inventory
The scientific community involved in the UN-REDD program is still reporting large
uncertainties about the amount and spatial variability of CO2 stored in forests. The main …
uncertainties about the amount and spatial variability of CO2 stored in forests. The main …
Semantic segmentation of forest stands of pure species combining airborne lidar data and very high resolution multispectral imagery
Forest stands are the basic units for forest inventory and map**. Stands are defined as
large forested areas (eg,⩾ 2 ha) of homogeneous tree species composition and age. Their …
large forested areas (eg,⩾ 2 ha) of homogeneous tree species composition and age. Their …
Object-oriented convolutional neural network for forest stand classification based on multi-source data collaboration
X Zhao, L **g, G Zhang, Z Zhu, H Liu, S Ren - Forests, 2024 - mdpi.com
Accurate classification of forest stand is crucial for protection and management needs.
However, forest stand classification remains a great challenge because of the high spectral …
However, forest stand classification remains a great challenge because of the high spectral …
A robust segmentation framework for closely packed buildings from airborne LiDAR point clouds
Urban villages (UVs) are commonly found in many Asian cities. These villages contain many
closely packed buildings constructed decades ago without proper urban planning. There is …
closely packed buildings constructed decades ago without proper urban planning. There is …
Pattern recognition on aerospace images using deep neural networks
Pattern recognition is one of the most important tasks in aerospace image processing.
Various methods based on convolutional neural networks attain state-of-the-art accuracy; …
Various methods based on convolutional neural networks attain state-of-the-art accuracy; …
Semi-automated stand delineation in Mediterranean Pinus sylvestris plantations through segmentation of LiDAR data: The influence of pulse density
Traditionally, forest-stand delineation has been assessed based on orthophotography. The
application of LiDAR has improved forest management by providing high-spatial-resolution …
application of LiDAR has improved forest management by providing high-spatial-resolution …
Naturalness indicators of forests in Southern Sweden derived from the canopy height model
Forest canopies embody a dynamic set of ecological factors, acting as a pivotal interface
between the Earth and its atmosphere. They are not only the result of an ecosystem's ability …
between the Earth and its atmosphere. They are not only the result of an ecosystem's ability …
Stand Characterization of Eucalyptus spp. Plantations in Uruguay Using Airborne Lidar Scanner Technology
Airborne lidar scanner (ALS) technology is used in a variety of applications, including
forestry. ALS has enormous potential for the estimation of relevant biometric parameters in …
forestry. ALS has enormous potential for the estimation of relevant biometric parameters in …