Map** tree species diversity in temperate montane forests using Sentinel-1 and Sentinel-2 imagery and topography data
Detailed information on spatial patterns of tree species diversity (TSD) is essential for
biodiversity assessment, forest disturbance monitoring, and the management and …
biodiversity assessment, forest disturbance monitoring, and the management and …
Individual tree-crown detection and species identification in heterogeneous forests using aerial RGB imagery and deep learning
Automatic identification and map** of tree species is an essential task in forestry and
conservation. However, applications that can geolocate individual trees and identify their …
conservation. However, applications that can geolocate individual trees and identify their …
[HTML][HTML] Map** tree species composition in a Caspian temperate mixed forest based on spectral-temporal metrics and machine learning
The tree species composition (TSC) reflects a forest's tree species diversity and is relevant
for forest planning, biodiversity conservation, and forest resources management. Yet …
for forest planning, biodiversity conservation, and forest resources management. Yet …
Mountain tree species map** using Sentinel-2, PlanetScope, and airborne hyspex hyperspectral imagery
Europe's mountain forests, which are naturally valuable areas due to their high biodiversity
and well-preserved natural characteristics, are experiencing major alterations, so an …
and well-preserved natural characteristics, are experiencing major alterations, so an …
Combination of sentinel-1 and sentinel-2 data for tree species classification in a central European biosphere reserve
Microwave and optical imaging methods react differently to different land surface parameters
and, thus, provide highly complementary information. However, the contribution of individual …
and, thus, provide highly complementary information. However, the contribution of individual …
[HTML][HTML] Map** forest in the Swiss Alps treeline ecotone with explainable deep learning
Forest maps are essential to understand forest dynamics. Due to the increasing availability
of remote sensing data and machine learning models like convolutional neural networks …
of remote sensing data and machine learning models like convolutional neural networks …
MSNet: Multispectral semantic segmentation network for remote sensing images
In the research of automatic interpretation of remote sensing images, semantic segmentation
based on deep convolutional neural networks has been rapidly developed and applied, and …
based on deep convolutional neural networks has been rapidly developed and applied, and …
[HTML][HTML] Map** dominant tree species of German forests
T Welle, L Aschenbrenner, K Kuonath, S Kirmaier… - Remote Sensing, 2022 - mdpi.com
The knowledge of tree species distribution at a national scale provides benefits for forest
management practices and decision making for site-adapted tree species selection. An …
management practices and decision making for site-adapted tree species selection. An …
ELULC-10, a 10 m European land use and land cover map using sentinel and landsat data in google earth engine
Land Use/Land Cover (LULC) maps can be effectively produced by cost-effective and
frequent satellite observations. Powerful cloud computing platforms are emerging as a …
frequent satellite observations. Powerful cloud computing platforms are emerging as a …
[HTML][HTML] Improving country-wide individual tree detection using local maxima methods based on statistically modeled forest structure information
Individual tree detection using airborne laser scanning (ALS) can provide relevant data to
complement forest inventory data. Local Maxima-based (LM) methods for individual tree …
complement forest inventory data. Local Maxima-based (LM) methods for individual tree …