Review of studies on tree species classification from remotely sensed data
Spatially explicit information on tree species composition of managed and natural forests,
plantations and urban vegetation provides valuable information for nature conservationists …
plantations and urban vegetation provides valuable information for nature conservationists …
[HTML][HTML] Map** tree species using advanced remote sensing technologies: A state-of-the-art review and perspective
R Pu - Journal of remote sensing, 2021 - spj.science.org
Timely and accurate information on tree species (TS) is crucial for develo** strategies for
sustainable management and conservation of artificial and natural forests. Over the last four …
sustainable management and conservation of artificial and natural forests. Over the last four …
Remote sensing of terrestrial plant biodiversity
Biodiversity is essential to healthy ecosystem function, influencing productivity and
resilience to disturbance. Biodiversity loss endangers essential ecosystem services and …
resilience to disturbance. Biodiversity loss endangers essential ecosystem services and …
Tree species classification with multi-temporal Sentinel-2 data
The Sentinel-2 program provides the opportunity to monitor terrestrial ecosystems with a
high temporal and spectral resolution. In this study, a multi-temporal Sentinel-2 data set was …
high temporal and spectral resolution. In this study, a multi-temporal Sentinel-2 data set was …
Tree species classification with random forest using very high spatial resolution 8-band WorldView-2 satellite data
Tree species diversity is a key parameter to describe forest ecosystems. It is, for example,
important for issues such as wildlife habitat modeling and close-to-nature forest …
important for issues such as wildlife habitat modeling and close-to-nature forest …
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 …
Individual tree crown segmentation and classification of 13 tree species using airborne hyperspectral data
Knowledge of the distribution of tree species within a forest is key for multiple economic and
ecological applications. This information is traditionally acquired through time-consuming …
ecological applications. This information is traditionally acquired through time-consuming …
Map** tree species in tropical seasonal semi-deciduous forests with hyperspectral and multispectral data
Accurately map** the spatial distribution of tree species in tropical environments provides
valuable insights for ecologists and forest managers. This process may play an important …
valuable insights for ecologists and forest managers. This process may play an important …
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 …
Discrimination of tropical forest types, dominant species, and map** of functional guilds by hyperspectral and simulated multispectral Sentinel-2 data
To answer new scientific and ecological questions and monitor multiple forest changes, a
fine scale characterization of these ecosystems is needed, and could imply the map** of …
fine scale characterization of these ecosystems is needed, and could imply the map** of …