682 results on '"Camps-Valls, Gustau"'
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152. Hyperspectral dimensionality reduction for biophysical variable statistical retrieval
153. DeepExtremes: Explainable Earth Surface Forecasting Under Extreme Climate Conditions
154. Learning Structures in Earth Observation Data with Gaussian Processes
155. Multioutput Feature Selection for Emulation and Sensitivity Analysis
156. Learning Extreme Vegetation Response to Climate Forcing: A Comparison of Recurrent Neural Network Architectures.
157. Statistical biophysical parameter retrieval and emulation with Gaussian processes
158. Multitemporal and multiresolution leaf area index retrieval for operational local rice crop monitoring
159. Spectral band selection for vegetation properties retrieval using Gaussian processes regression
160. Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization
161. Land use classification over smallholding areas in the European Common Agricultural Policy framework
162. Identifying compound weather prototypes of forest mortality with β-VAE
163. Learning causal drivers of PyroCb
164. Double machine learning for geosciences
165. Causal inference to study food insecurity in Africa
166. Enhanced and gap-free Sentinel-2 reflectance data at vast scales with GEE
167. Physics-Aware Machine Learning for Carbon Fluxes at High Spatio-Temporal Resolution and Scales
168. Invertible neural networks for satellite retrievals of aerosol optical depth
169. Estimating non-linear persistence for impact assessment in European forests
170. XAIDA4Detection: A Toolbox for the Detection and Characterization of Spatio-Temporal Extreme Events
171. Gaussian Processes for vegetation traits global mapping
172. Anticipating the SIF-GPP linearity breakdown with machine learning - Implications on climate extremes and vegetation stress
173. Soil and vegetation water content identify the main terrestrial ecosystem changes
174. Explainable Artificial Intelligence for Cotton Yield Prediction With Multisource Data
175. Interpretable Long Short-Term Memory Networks for Crop Yield Estimation
176. Machine-Learned Cloud Classes From Satellite Data for Process-Oriented Climate Model Evaluation
177. Understanding cirrus clouds using explainable machine learning
178. Estimation of vegetation traits with kernel NDVI
179. Multifidelity Gaussian Process Emulation for Atmospheric Radiative Transfer Models
180. A Scalable Unsupervised Feature Selection With Orthogonal Graph Representation for Hyperspectral Images
181. Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties – A review
182. Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods – A comparison
183. Uncertainty analysis of gross primary production upscaling using Random Forests, remote sensing and eddy covariance data
184. Inferring causation from time series in Earth system sciences
185. The FLUXCOM ensemble of global land-atmosphere energy fluxes
186. Advances in Kernel Machines for Image Classification and Biophysical Parameter Retrieval
187. Spectral alignment of multi-temporal cross-sensor images with automated kernel canonical correlation analysis
188. Improving air quality assessment using physics-inspired deep graph learning
189. Wildfire Danger Prediction and Understanding With Deep Learning
190. Fair Kernel Learning
191. Automatic Emulation by Adaptive Relevance Vector Machines
192. Physics-Aware Gaussian Processes for Earth Observation
193. Deep Learning and Earth Observation to Support the Sustainable Development Goals: Current approaches, open challenges, and future opportunities
194. Commentary on ‘Physics-informed deep learning parameterization of ocean vertical mixing improves climate simulations’ by Zhu et al.
195. Physics-aware nonparametric regression models for Earth data analysis
196. Compensatory water effects link yearly global land CO2 sink changes to temperature
197. Explainable deep learning for wildfire danger estimation
198. Inspecting the link between climate and human displacement with Explainable AI and Causal inference
199. Learning ENSO-related Principal Modes of Vegetation via a Granger-Causal Variational Autoencoder
200. Recent Advances in Deep Learning for Spatio-Temporal Drought Monitoring, Forecasting and Model Understanding
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