The shape of trees: Reimagining forest ecology in three dimensions with remote sensing
How ecologists think about above‐ground forest structure and dynamics is fundamentally
shaped by the data we can collect. This has historically been limited to what is possible with …
shaped by the data we can collect. This has historically been limited to what is possible with …
Aboveground biomass density models for NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar mission
Abstract NASA's Global Ecosystem Dynamics Investigation (GEDI) is collecting spaceborne
full waveform lidar data with a primary science goal of producing accurate estimates of forest …
full waveform lidar data with a primary science goal of producing accurate estimates of forest …
Individual tree-crown detection in RGB imagery using semi-supervised deep learning neural networks
Remote sensing can transform the speed, scale, and cost of biodiversity and forestry
surveys. Data acquisition currently outpaces the ability to identify individual organisms in …
surveys. Data acquisition currently outpaces the ability to identify individual organisms in …
Comparative performance of convolutional neural network, weighted and conventional support vector machine and random forest for classifying tree species using …
The classification of tree species can significantly benefit from high spatial and spectral
information acquired by unmanned aerial vehicles (UAVs) associated with advanced …
information acquired by unmanned aerial vehicles (UAVs) associated with advanced …
Tree species classification in a highly diverse subtropical forest integrating UAV-based photogrammetric point cloud and hyperspectral data
The use of remote sensing data for tree species classification in tropical forests is still a
challenging task, due to their high floristic and spectral diversity. In this sense, novel sensors …
challenging task, due to their high floristic and spectral diversity. In this sense, novel sensors …
Evaluating Sentinel-2 and Landsat-8 data to map sucessional forest stages in a subtropical forest in Southern Brazil
Studies designed to discriminate different successional forest stages play a strategic role in
forest management, forest policy and environmental conservation in tropical environments …
forest management, forest policy and environmental conservation in tropical environments …
Unimodal and multimodal perception for forest management: review and dataset
Robotics navigation and perception for forest management are challenging due to the
existence of many obstacles to detect and avoid and the sharp illumination changes …
existence of many obstacles to detect and avoid and the sharp illumination changes …
Visible and thermal image-based trunk detection with deep learning for forestry mobile robotics
Mobile robotics in forests is currently a hugely important topic due to the recurring
appearance of forest wildfires. Thus, in-site management of forest inventory and biomass is …
appearance of forest wildfires. Thus, in-site management of forest inventory and biomass is …
CNN-based individual tree species classification using high-resolution satellite imagery and airborne LiDAR data
H Li, B Hu, Q Li, L Jing - Forests, 2021 - mdpi.com
Deep learning (DL) has shown promising performances in various remote sensing
applications as a powerful tool. To explore the great potential of DL in improving the …
applications as a powerful tool. To explore the great potential of DL in improving the …
Machine learning for gully feature extraction based on a pan-sharpened multispectral image: Multiclass vs. Binary approach
Gullies reduce both the quality and quantity of productive land, posing a serious threat to
sustainable agriculture, hence, food security. Machine Learning (ML) algorithms are …
sustainable agriculture, hence, food security. Machine Learning (ML) algorithms are …