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EXPLORING DESIS FOR INLAND WATER QUALITY IN SPANISH RESERVOIRS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 In a first approximation to the use of hyperspectral DESIS data to ocean colour applications in inland waters, we present here a comparison of the DESIS vs. MSI spectra from two reservoirs located in the province of Valencia.
A. B. Ruescas +2 more
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Nature Communications, 2023 Climate change is leading to more extreme weather hazards, forcing human populations to be displaced. We employ explainable machine learning techniques to model and understand internal displacement flows and patterns from observational data alone.
Michele Ronco +8 more
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Inferring causal relations from observational long-term carbon and water fluxes records
Scientific Reports, 2022 Land, atmosphere and climate interact constantly and at different spatial and temporal scales. In this paper we rely on causal discovery methods to infer spatial patterns of causal relations between several key variables of the carbon and water cycles ...
Emiliano Díaz +4 more
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Video Object Detection Guided by Object Blur Evaluation
IEEE Access, 2020 In recent years, the excellent image-based object detection algorithms are transferred to the video object detection directly. These frame-by-frame processing methods are suboptimal owing to the degenerate object appearance such as motion blur, defocus ...
Yujie Wu +4 more
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Predicting regional coastal sea level changes with machine learning
Scientific Reports, 2021 All ocean basins have been experiencing significant warming and rising sea levels in recent decades. There are, however, important regional differences, resulting from distinct processes at different timescales (temperature-driven changes being a major ...
Veronica Nieves +2 more
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BID: An Effective Blind Image Deblurring Scheme to Estimate the Blur Kernel for Various Scenarios
IEEE Access, 2020 In recent years, image deblurring has been widely investigated. In order to solve this ill-posed problem, a variety of prior models have been proposed successively.
Hong Zhang +3 more
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An unambiguous cloudiness index for nonwovens
Journal of Mathematics in Industry, 2022 Cloudiness or formation is a concept routinely used in industry to address deviations from homogeneity in nonwovens and papers. Measuring a cloudiness index based on image data is a common task in industrial quality assurance.
Michael Godehardt +4 more
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Global flood extent segmentation in optical satellite images
Scientific Reports, 2023 Floods are among the most destructive extreme events that exist, being the main cause of people affected by natural disasters. In the near future, estimated flood intensity and frequency are projected to increase.
Enrique Portalés-Julià +3 more
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Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V Images for Cloud Detection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 The number of Earth observation satellites carrying optical sensors with similar characteristics is constantly growing. Despite their similarities and the potential synergies among them, derived satellite products are often developed for each sensor ...
Gonzalo Mateo-Garcia +3 more
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REMOTE SENSING IMAGE TIME SERIES METRICS FOR DISTINCTION BETWEEN PASTURE AND CROPLANDS USING THE RANDOM FOREST CLASSIFIER [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Pasture and croplands play an important role in Brazil’s economic and political scenarios, once its PIB (Raw Internal Product) is mainly based on what is exported from the rural production, such as meat and soybean, and government, with its regulations ...
M. A. A. Rodrigues +4 more
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