Status of phenological research using Sentinel-2 data: A review
Remote sensing of plant phenology as an indicator of climate change and for mapping land
cover has received significant scientific interest in the past two decades. The advancing of …
cover has received significant scientific interest in the past two decades. The advancing of …
A synthesis of spatial forest assessment studies using remote sensing data and techniques in Pakistan
This paper synthesizes research studies on spatial forest assessment and mapping using
remote sensing data and techniques in Pakistan. The synthesis states that 73 peer-reviewed …
remote sensing data and techniques in Pakistan. The synthesis states that 73 peer-reviewed …
Evaluation of machine learning algorithms for forest stand species mapping 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 …
Mapping temperate forest tree species using dense Sentinel-2 time series
Precise information on tree species composition is critical for forest management and
conservation, but mapping tree species with satellite data over large areas is still a …
conservation, but mapping tree species with satellite data over large areas is still a …
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 …
management. The two identical European Space Agency (ESA) Sentinel-2 (S2) satellites …
Self-supervised pretraining of transformers for satellite image time series classification
Y Yuan, L Lin - IEEE Journal of Selected Topics in Applied …, 2020 - ieeexplore.ieee.org
Satellite image time series (SITS) classification is a major research topic in remote sensing
and is relevant for a wide range of applications. Deep learning approaches have been …
and is relevant for a wide range of applications. Deep learning approaches have been …
[HTML][HTML] Mapping tree species proportions from satellite imagery using spectral–spatial deep learning
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 …
studies demonstrated the potential of using multispectral satellite imagery for classifying tree …
Mapping 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 …
Integrated use of Sentinel-1 and Sentinel-2 data and open-source machine learning algorithms for land cover mapping in a Mediterranean region
G De Luca, J MN Silva, S Di Fazio… - European Journal of …, 2022 - Taylor & Francis
This paper aims to develop a supervised classification integrating synthetic aperture radar
(SAR) Sentinel-1 (S1) and optical Sentinel-2 (S2) data for land use/land cover (LULC) …
(SAR) Sentinel-1 (S1) and optical Sentinel-2 (S2) data for land use/land cover (LULC) …
[HTML][HTML] Mapping 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 …