Tree species classification of forest stands using multisource remote sensing data

H Wan, Y Tang, L **g, H Li, F Qiu, W Wu - Remote Sensing, 2021 - mdpi.com
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 …

[HTML][HTML] On-the-fly olive tree counting using a UAS and cloud services

E Salamí, A Gallardo, G Skorobogatov, C Barrado - Remote Sensing, 2019 - mdpi.com
Unmanned aerial systems (UAS) are becoming a common tool for aerial sensing
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

A Ferraz, S Saatchi, C Mallet, S Jacquemoud… - Remote Sensing, 2016 - mdpi.com
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 …

Semantic segmentation of forest stands of pure species combining airborne lidar data and very high resolution multispectral imagery

C Dechesne, C Mallet, A Le Bris… - ISPRS Journal of …, 2017 - Elsevier
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 …

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 …

A robust segmentation framework for closely packed buildings from airborne LiDAR point clouds

X Wang, TO Chan, K Liu, J Pan, M Luo… - International Journal of …, 2020 - Taylor & Francis
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 …

Pattern recognition on aerospace images using deep neural networks

I Saetchnikov, V Skakun… - 2020 IEEE 7th …, 2020 - ieeexplore.ieee.org
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; …

Semi-automated stand delineation in Mediterranean Pinus sylvestris plantations through segmentation of LiDAR data: The influence of pulse density

MÁ Varo-Martínez, RM Navarro-Cerrillo… - International journal of …, 2017 - Elsevier
Traditionally, forest-stand delineation has been assessed based on orthophotography. The
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

ML Della Vedova, M Wahde - European Journal of Remote …, 2025 - Taylor & Francis
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 …

Stand Characterization of Eucalyptus spp. Plantations in Uruguay Using Airborne Lidar Scanner Technology

A Hirigoyen, MA Varo-Martinez, C Rachid-Casnati… - Remote Sensing, 2020 - mdpi.com
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 …