Publications

A review and meta-analysis of Generative Adversarial Networks and their applications in remote sensing

A review and meta-analysis of Generative Adversarial Networks and their applications in remote sensing

Evaluating Image Normalization via GANs for Environmental Mapping: A Case Study of Lichen Mapping Using High-Resolution Satellite Imagery

Evaluating Image Normalization via GANs for Environmental Mapping: A Case Study of Lichen Mapping Using High-Resolution Satellite Imagery

Leveraging deep neural networks to map caribou lichen in high-resolution satellite images based on a small-scale, noisy UAV-derived map

Leveraging deep neural networks to map caribou lichen in high-resolution satellite images based on a small-scale, noisy UAV-derived map

Mapping Caribou Lichen (Cladonia spp.) in Canada’s Taiga Shield Using AVIRIS-NG and UAV Images

Mapping Caribou Lichen (Cladonia spp.) in Canada’s Taiga Shield Using AVIRIS-NG and UAV Images

On the versatility of popular and recently proposed supervised evaluation metrics for segmentation quality of remotely sensed images: An experimental case study of building extraction

On the versatility of popular and recently proposed supervised evaluation metrics for segmentation quality of remotely sensed images: An experimental case study of building extraction

Local climate zone (LCZ) map accuracy assessments should account for land cover physical characteristics that affect the local thermal environment

Local climate zone (LCZ) map accuracy assessments should account for land cover physical characteristics that affect the local thermal environment

Comparing deep neural networks, ensemble classifiers, and support vector machine algorithms for object-based urban land use/land cover classification

Comparing deep neural networks, ensemble classifiers, and support vector machine algorithms for object-based urban land use/land cover classification

A regression modelling approach for optimizing segmentation scale parameters to extract buildings of different sizes

A regression modelling approach for optimizing segmentation scale parameters to extract buildings of different sizes

Identifying Generalizable Image Segmentation Parameters for Urban Land Cover Mapping through Meta-Analysis and Regression Tree Modeling

Identifying Generalizable Image Segmentation Parameters for Urban Land Cover Mapping through Meta-Analysis and Regression Tree Modeling

Expanding the applicability of remotely sensed soil evaporation transfer coefficient to the estimation of soil moisture over bare soil and partially vegetated areas

Expanding the applicability of remotely sensed soil evaporation transfer coefficient to the estimation of soil moisture over bare soil and partially vegetated areas