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 …
Remote sensing technologies for enhancing forest inventories: A review
Forest inventory and management requirements are changing rapidly in the context of an
increasingly complex set of economic, environmental, and social policy objectives …
increasingly complex set of economic, environmental, and social policy objectives …
First experience with Sentinel-2 data for crop and tree species classifications in central Europe
The study presents the preliminary results of two classification exercises assessing the
capabilities of pre-operational (August 2015) Sentinel-2 (S2) data for map** crop types …
capabilities of pre-operational (August 2015) Sentinel-2 (S2) data for map** crop types …
Evaluation of machine learning algorithms for forest stand species map** using Sentinel-2 imagery and environmental data in the Polish Carpathians
Abstract Information about forest stand species distribution is essential for biodiversity
modelling, forest disturbances, fire hazard and drought monitoring, biomass and carbon …
modelling, forest disturbances, fire hazard and drought monitoring, biomass and carbon …
Individual tree detection and classification with UAV-based photogrammetric point clouds and hyperspectral imaging
Small unmanned aerial vehicle (UAV) based remote sensing is a rapidly evolving
technology. Novel sensors and methods are entering the market, offering completely new …
technology. Novel sensors and methods are entering the market, offering completely new …
Forest stand species map** using the Sentinel-2 time series
Accurate information regarding forest tree species composition is useful for a wide range of
applications, both for forest management and scientific research. Remote sensing is an …
applications, both for forest management and scientific research. Remote sensing is an …
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 …
A framework for map** tree species combining hyperspectral and LiDAR data: Role of selected classifiers and sensor across three spatial scales
Abstract Knowledge of tree species distribution is important worldwide for sustainable forest
management and resource evaluation. The accuracy and information content of species …
management and resource evaluation. The accuracy and information content of species …
Fusion of hyperspectral and LIDAR remote sensing data for classification of complex forest areas
In this paper, we propose an analysis on the joint effect of hyperspectral and light detection
and ranging (LIDAR) data for the classification of complex forest areas. In greater detail, we …
and ranging (LIDAR) data for the classification of complex forest areas. In greater detail, we …
Tree crown delineation and tree species classification in boreal forests using hyperspectral and ALS data
Tree species classification accuracy at the individual tree crown (ITC) level depends on
many factors, among which in this paper we analyzed: i) the remote sensing data used for …
many factors, among which in this paper we analyzed: i) the remote sensing data used for …