Remote sensing in forestry: current challenges, considerations and directions
Remote sensing has developed into an omnipresent technology in the scientific field of
forestry and is also increasingly used in an operational fashion. However, the pace and level …
forestry and is also increasingly used in an operational fashion. However, the pace and level …
[HTML][HTML] Mapping 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 developing 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 …
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 …
[HTML][HTML] Quantifying scattering characteristics of mangrove species from Optuna-based optimal machine learning classification using multi-scale feature selection and …
Mangroves play a significant role in carbon sequestration and storage. Mapping mangrove
species and monitoring their conditions have been a crucial issue for achieving sustainable …
species and monitoring their conditions have been a crucial issue for achieving sustainable …
[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 …
[HTML][HTML] Calibrating vegetation phenology from Sentinel-2 using eddy covariance, PhenoCam, and PEP725 networks across Europe
Vegetation phenology obtained from time series of remote sensing data is relevant for a
range of ecological applications. The freely available Sentinel-2 imagery at a 10 m spatial …
range of ecological applications. The freely available Sentinel-2 imagery at a 10 m spatial …
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 …
[HTML][HTML] Understanding the robustness of spectral-temporal metrics across the global Landsat archive from 1984 to 2019–a quantitative evaluation
The Landsat archive is one of the richest Earth observation datasets available and provides
long-term data at fairly high temporal and spatial resolution globally. Temporal aggregation …
long-term data at fairly high temporal and spatial resolution globally. Temporal aggregation …
[HTML][HTML] Dealing with clustered samples for assessing map accuracy by cross-validation
Mapping of environmental variables often relies on map accuracy assessment through cross-
validation with the data used for calibrating the underlying mapping model. When the data …
validation with the data used for calibrating the underlying mapping model. When the data …
[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 …