Evaluation of machine learning algorithms for forest stand species map** using Sentinel-2 imagery and environmental data in the Polish Carpathians

E Grabska, D Frantz, K Ostapowicz - Remote Sensing of Environment, 2020 - Elsevier
Abstract Information about forest stand species distribution is essential for biodiversity
modelling, forest disturbances, fire hazard and drought monitoring, biomass and carbon …

Map** temperate forest tree species using dense Sentinel-2 time series

J Hemmerling, D Pflugmacher, P Hostert - Remote Sensing of Environment, 2021 - Elsevier
Precise information on tree species composition is critical for forest management and
conservation, but map** tree species with satellite data over large areas is still a …

Forest stand species map** using the Sentinel-2 time series

E Grabska, P Hostert, D Pflugmacher, K Ostapowicz - Remote Sensing, 2019 - mdpi.com
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 …

Optimal input features for tree species classification in Central Europe based on multi-temporal Sentinel-2 data

M Immitzer, M Neuwirth, S Böck, H Brenner, F Vuolo… - Remote Sensing, 2019 - mdpi.com
Detailed knowledge about tree species composition is of great importance for forest
management. The two identical European Space Agency (ESA) Sentinel-2 (S2) satellites …

[HTML][HTML] Map** tree species proportions from satellite imagery using spectral–spatial deep learning

C Bolyn, P Lejeune, A Michez, N Latte - Remote sensing of environment, 2022 - Elsevier
Remote sensing can be used to collect information related to forest management. Previous
studies demonstrated the potential of using multispectral satellite imagery for classifying tree …

Map** winter crops in China with multi-source satellite imagery and phenology-based algorithm

H Tian, N Huang, Z Niu, Y Qin, J Pei, J Wang - Remote sensing, 2019 - mdpi.com
Timely and accurate map** of winter crop planting areas in China is important for food
security assessment at a national level. Time-series of vegetation indices, such as the …

Acquisition of forest attributes for decision support at the forest enterprise level using remote-sensing techniques—A review

P Surový, K Kuželka - Forests, 2019 - mdpi.com
In recent decades, remote sensing techniques and the associated hardware and software
have made substantial improvements. With satellite images that can obtain sub-meter …

[HTML][HTML] Exploring the potential of land surface phenology and seasonal cloud free composites of one year of Sentinel-2 imagery for tree species map** in a …

A Kollert, M Bremer, M Löw, M Rutzinger - International Journal of Applied …, 2021 - Elsevier
Optical satellite imagery with high temporal and spatial resolution, such as acquired by
Sentinel-2, is increasingly becoming available and is used to derive maps of tree species …

Comparison of random forest, support vector machines, and neural networks for post-disaster forest species map** of the krkonoše/karkonosze transboundary …

B Zagajewski, M Kluczek, E Raczko, A Njegovec… - Remote Sensing, 2021 - mdpi.com
Mountain forests are exposed to extreme conditions (eg, strong winds and intense solar
radiation) and various types of damage by insects such as bark beetles, which makes them …

[BUCH][B] The potential of Sentinel-2 satellite images for land-cover/land-use and forest biomass estimation: A review

C Isbaex, AM Coelho - 2021 - intechopen.com
Map** land-cover/land-use (LCLU) and estimating forest biomass using satellite images
is a challenge given the diversity of sensors available and the heterogeneity of forests …