MPFFNet: LULC classification model for high-resolution remote sensing images with multi-path feature fusion
H Yuan, Z Zhang, X Rong, D Feng… - International Journal of …, 2023 - Taylor & Francis
ABSTRACT Land Use/Land Cover (LULC) classification has become increasingly important
in various fields, including ecological and environmental protection, urban planning, and …
in various fields, including ecological and environmental protection, urban planning, and …
Machine learning approaches to landsat change detection analysis
The Landsat mission has captured images of the Earth's surface for over 50 years, and the
data have enabled researchers to investigate a vast array of different change phenomena …
data have enabled researchers to investigate a vast array of different change phenomena …
[HTML][HTML] Monitoring of Antarctica's Fragile Vegetation Using Drone-Based Remote Sensing, Multispectral Imagery and AI
D Raniga, N Amarasingam, J Sandino, A Doshi… - Sensors, 2024 - mdpi.com
Vegetation in East Antarctica, such as moss and lichen, vulnerable to the effects of climate
change and ozone depletion, requires robust non-invasive methods to monitor its health …
change and ozone depletion, requires robust non-invasive methods to monitor its health …
[HTML][HTML] Quantifying winter forage resources for reindeer: Developing a method to estimate ground lichen cover and biomass at a local scale
E Cronvall, S Adler, P Sandström, A Skarin - Trees, Forests and People, 2025 - Elsevier
Boreal forests serve as the primary winter range for reindeer (Rangifer tarandus) in Sweden,
where ground lichens constitute the main food source. Lichen-rich forests have declined …
where ground lichens constitute the main food source. Lichen-rich forests have declined …
A novel Deep Learning Change Detection approach for estimating Spatiotemporal Crop Field Variations from Sentinel-2 imagery
The analysis of crop variation and the ability to quantify it is a critical and challenging task.
Remote sensing (RS) has proven to be an effective tool for monitoring crops and detecting …
Remote sensing (RS) has proven to be an effective tool for monitoring crops and detecting …
COVERater—A Free Application for Training Researchers to Accurately Estimate Species Cover in Terrestrial and Aquatic Ecosystems
MM Cruickshank, AT Moles, SA Debono… - Ecology and …, 2024 - Wiley Online Library
Visual estimates of cover are widely used among ecologists, from describing vegetation
communities to tracking and monitoring species' abundance. However, despite the known …
communities to tracking and monitoring species' abundance. However, despite the known …
[HTML][HTML] Predicting plants in the wild: Mapping arctic and boreal plants with UAS-based visible and near infrared reflectance spectra
PR Nelson, K Bundy, K Smith, M Macander… - International Journal of …, 2024 - Elsevier
Biophysical changes in the Arctic and boreal zones drive shifts in vegetation, such as
increasing shrub cover from warming soil or loss of living mat species due to fire …
increasing shrub cover from warming soil or loss of living mat species due to fire …
Utilizing Transfer Learning with Artificial Intelligence for Scaling-Up Lichen Coverage Maps
G Richardson, A Knudby… - IGARSS 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Lichen mapping is essential for sustainable caribou and lichen conservation. Previous
studies have used artificial intelligence to create lichen coverage (%) maps using a scaling …
studies have used artificial intelligence to create lichen coverage (%) maps using a scaling …
Dense neural network outperforms other machine learning models for scaling-up lichen cover maps in Eastern Canada
Lichen mapping is vital for caribou management plans and sustainable land conservation.
Previous studies have used random forest, dense neural network, and convolutional neural …
Previous studies have used random forest, dense neural network, and convolutional neural …
[PDF][PDF] Sentinel-2 MSI data for active fire detection in major fire-prone biomes: A multi-criteria approach
ABSTRACT Sentinel-2 MultiSpectral Instrument (MSI) data exhibits the great potential of
enhanced spatial and temporal coverage for monitoring biomass burning which could …
enhanced spatial and temporal coverage for monitoring biomass burning which could …