Leveraging Deep Neural Networks to Map Caribou Lichen in High-Resolution Satellite Images Based on a Small-Scale, Noisy UAV-Derived Map

UAV and High Resolution Satellite Mapping of Forage Lichen (Cladonia spp.) in a Rocky Canadian Shield Landscape

(2021) Robert H. Fraser et al.   CANADIAN JOURNAL OF REMOTE SENSING

Lichen cover mapping for caribou ranges in interior Alaska and Yukon

(2020) Matthew J Macander et al.   Environmental Research Letters

Assessment of Landsat-based terricolous macrolichen cover retrieval and change analysis over caribou ranges in northern Canada and Alaska

(2020) Blair Kennedy et al.   REMOTE SENSING OF ENVIRONMENT

A multi-sensor, multi-scale approach to mapping tree mortality in woodland ecosystems

(2020) Michael J. Campbell et al.   REMOTE SENSING OF ENVIRONMENT

Comparing Deep Neural Networks, Ensemble Classifiers, and Support Vector Machine Algorithms for Object-Based Urban Land Use/Land Cover Classification

(2019) Shahab Eddin Jozdani et al.   Remote Sensing

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

(2019) Ramprasaath R. Selvaraju et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

A survey on semi-supervised learning

(2019) Jesper E. van Engelen et al.   MACHINE LEARNING

Remote sensing monitoring of multi-scale watersheds impermeability for urban hydrological evaluation

(2019) Zhenfeng Shao et al.   REMOTE SENSING OF ENVIRONMENT

Potential impacts of climate change on the habitat of boreal woodland caribou

(2018) Quinn E. Barber et al.   Ecosphere

Object-Based Land-Cover Supervised Classification for Very-High-Resolution UAV Images Using Stacked Denoising Autoencoders

(2017) Xiaodong Zhang et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Towards better exploiting convolutional neural networks for remote sensing scene classification

(2017) Keiller Nogueira et al.   PATTERN RECOGNITION

Mapping of the Invasive Species Hakea sericea Using Unmanned Aerial Vehicle (UAV) and WorldView-2 Imagery and an Object-Oriented Approach

(2017) Flor Alvarez-Taboada et al.   Remote Sensing

Estimating lichen volume and reindeer winter pasture quality from Landsat imagery

(2013) Tobias Falldorf et al.   REMOTE SENSING OF ENVIRONMENT

Remote Sensing of Fractional Green Vegetation Cover Using Spatially-Interpolated Endmembers

(2012) Brian Johnson et al.   Remote Sensing

Conservation of caribou (Rangifer tarandus) in Canada: an uncertain future1This review is part of the virtual symposium “Flagship Species – Flagship Problems” that deals with ecology, biodiversity and management issues, and climate impacts on species at risk and of Canadian importance, including the polar bear (Ursus maritimus), Atlantic cod (Gadus morhua), Piping Plover (Charadrius melodus), and caribou (Rangifer tarandus).

(2011) M. Festa-Bianchet et al.   CANADIAN JOURNAL OF ZOOLOGY

Mapping ground lichens using forest inventory and optical satellite data

(2011) Michael Gilichinsky et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Using geographically weighted variables for image classification

(2011) Brian Johnson et al.   Remote Sensing Letters

Impacts of climate change on the seasonal distribution of migratory caribou

(2009) SAPNA SHARMA et al.   GLOBAL CHANGE BIOLOGY