Incorporation of neighborhood information improves performance of SDB models

A Knudby, G Richardson - Remote Sensing Applications: Society and …, 2023 - Elsevier
Mapping of water depth in nearshore waters is important for safe navigation and other
human uses of coastal areas. Optical satellite imagery offers a cost-efficient source of data …

Remote sensing and spectroscopy of lichens

M Rautiainen, N Kuusinen… - Ecology and Evolution, 2024 - Wiley Online Library
Lichens are combinations of two symbiotic organisms, a green alga or cyanobacterium and
a fungus. They grow in nearly all terrestrial ecosystems and survive in habitats, which are …

A New U-Net Based Convolutional Neural Network for Estimating Caribou Lichen Ground Cover from Field-Level RGB Images

J Lovitt, G Richardson, K Rajaratnam… - Canadian Journal of …, 2022 - Taylor & Francis
High-quality ground-truth data are critical for developing reliable Earth Observation (EO)
based geospatial products. Conventional methods of collecting these data are either subject …

[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 …

Tree-CRowNN: A Network for Estimating Forest Stand Density from VHR Aerial Imagery

J Lovitt, G Richardson, Y Zhang, E Richardson - Remote Sensing, 2023 - mdpi.com
Estimating the number of trees within a forest stand, ie, the forest stand density (FSD), is
challenging at large scales. Recently, researchers have turned to a combination of remote …

A hierarchical, multi‐sensor framework for peatland sub‐class and vegetation mapping throughout the Canadian boreal forest

N Pontone, K Millard, DK Thompson… - Remote sensing in …, 2024 - Wiley Online Library
Peatlands in the Canadian boreal forest are being negatively impacted by anthropogenic
climate change, the effects of which are expected to worsen. Peatland types and sub …

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 …

Dense neural network outperforms other machine learning models for scaling-up lichen cover maps in Eastern Canada

G Richardson, A Knudby, W Chen, M Sawada, J Lovitt… - Plos one, 2023 - journals.plos.org
Lichen mapping is vital for caribou management plans and sustainable land conservation.
Previous studies have used random forest, dense neural network, and convolutional neural …

[引用][C] Automated Coastal Surveillance with Drones Using Gaussian Process Regression Analysis

HK Jee, JY Lee - Utilitas Mathematica, 2023