1.3k citations
- Lancaster UniversityGB10 papers
- Wuhan UniversityCN8 papers
- Chinese Academy of SciencesCN7 papers
- State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingCN7 papers
- Institute of Geographic Sciences and Natural Resources ResearchCN6 papers
- University of SouthamptonGB5 papers
- University of TwenteNL3 papers
- Finnish Environment InstituteFI2 papers
- Joint Research CentreNL2 papers
- Norwegian Institute for Nature ResearchNO2 papers
- Research Institute for Nature and ForestBE2 papers
- Universität InnsbruckAT2 papers
19 papers
Predicted decline in common bird and butterfly species despite conservation policy scenarios in Europe
Stanislas Rigal, Maxime Lenormand, Léa Tardieu +33
In response to increasing threats to biodiversity, conservation objectives have been set to halt biodiversity decline by reducing direct anthropogenic drivers. However, the potenti…
Homogeneous soil moisture fields suppress Sahelian MCS frequency
Ben Maybee, Cornelia Klein, Christopher M. Taylor +2
Understanding controls on Mesoscale Convective Systems (MCSs) is critical for predicting rainfall extremes across scales. Spatial variability of soil moisture (SM) presents such a…
Towards a unified approach to formal risk of bias assessments for causal and descriptive inference
Oliver L. Pescott, Robin J. Boyd, Gary D. Powney +1
Statistics is sometimes described as the science of reasoning under uncertainty. Statistical models provide one view of this uncertainty, but what is frequently neglected is the 'i…
Statistics for Spatially Stratified Heterogeneous Data
Jinfeng Wang, Robert Haining, Tonglin Zhang +2
Spatial statistics is dominated by spatial autocorrelation (SAC) based Kriging and BHM, and spatial local heterogeneity based hotspots and geographical regression methods, appraise…
UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagery
Libo Wang, Rui Li, Ce Zhang +4
Semantic segmentation of remotely sensed urban scene images is required in a wide range of practical applications, such as land cover mapping, urban change detection, environmental…
A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images
Libo Wang, Rui Li, Chenxi Duan +3
The fully convolutional network (FCN) with an encoder-decoder architecture has been the standard paradigm for semantic segmentation. The encoder-decoder architecture utilizes an en…