Data fusion of in situ geophysical and geotechnical information for levee characterization

AbstractAn engineering-geological map of the Western Thessaly basin has been compiled, providing a valuable guide to both urban planning and industrial development of the wider area. This map contributes significantly to the optimization of land use and improved planning of technical work. Additionally, the engineering-geological conditions of the formations encountered in the Western Thessaly basin are examined. The formations are grouped into thirteen (13) engineering-geological entities, with regard to their geotechnical behaviour. This entire study was based on both in situ investigations and geotechnical information extracted from 1,039 boreholes.Furthermore, a landslide inventory map of the Western Thessaly basin has been compiled. In addition, the surface subsidence ruptures, due to ground-water overexploitation, have been examined in the eastern part of the study area.

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Global carbon monoxide products from combined AIRS, TES and MLS measurements on A-train satellites

Atmospheric Chemistry and Physics Discussions ◽

10.5194/acpd-13-15409-2013 ◽

2013 ◽

Vol 13 (6) ◽

pp. 15409-15441

Author(s):

J. X. Warner ◽

R. Yang ◽

Z. Wei ◽

F. Carminati ◽

A. Tangborn ◽

...

Keyword(s):

Carbon Monoxide ◽

Data Fusion ◽

Lower Troposphere ◽

Atmospheric Infrared Sounder ◽

Upper Troposphere ◽

In Situ Data ◽

Diode Laser Spectrometer ◽

Spatial Coverage ◽

Transport Experiment

Abstract. This study tests a novel methodology to add value to satellite datasets. This methodology, data fusion, is similar to data assimilation, except that the background model-based field is replaced by a satellite dataset, in this case AIRS (Atmospheric Infrared Sounder) carbon monoxide (CO) measurements. The observational information comes from CO measurements with lower spatial coverage than AIRS, namely, from TES (Tropospheric Emission Spectrometer) and MLS (Microwave Limb Sounder). We show that combining these datasets with data fusion uses the higher spectral resolution of TES to extend AIRS CO observational sensitivity to the lower troposphere, a region especially important for air quality studies. We also show that combined CO measurements from AIRS and MLS provide enhanced information in the UTLS (upper troposphere/lower stratosphere) region compared to each product individually. The combined AIRS/TES and AIRS/MLS CO products are validated against DACOM (differential absorption mid-IR diode laser spectrometer) in situ CO measurements from the INTEX-B (Intercontinental Chemical Transport Experiment: MILAGRO and Pacific phases) field campaign and in situ data from HIPPO (HIAPER Pole-to-Pole Observations) flights. The data fusion results show improved sensitivities in the lower and upper troposphere (20–30% and above 20%, respectively) as compared with AIRS-only retrievals, and improved coverage compared with TES and MLS CO data.

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LGHAP: a Long-term Gap-free High-resolution Air Pollutants concentration dataset derived via tensor flow based multimodal data fusion

10.5194/essd-2021-404 ◽

2021 ◽

Author(s):

Kaixu Bai ◽

Ke Li ◽

Mingliang Ma ◽

Kaitao Li ◽

Zhengqiang Li ◽

...

Keyword(s):

Environmental Management ◽

High Resolution ◽

Data Fusion ◽

Air Pollutants ◽

Big Data Analytics ◽

Quality Data ◽

Haze Pollution ◽

Pm2.5 And Pm10

Abstract. Developing a big data analytics framework for generating a Long-term Gap-free High-resolution Air Pollutants concentration dataset (abbreviated as LGHAP) is of great significance for environmental management and earth system science analysis. By synergistically integrating multimodal aerosol data acquired from diverse sources via a tensor flow based data fusion method, a gap-free aerosol optical depth (AOD) dataset with daily 1-km resolution covering the period of 2000–2020 in China was generated. Specifically, data gaps in daily AOD imageries from MODIS aboard Terra were reconstructed based on a set of AOD data tensors acquired from satellites, numerical analysis, and in situ air quality data via integrative efforts of spatial pattern recognition for high dimensional gridded image analysis and knowledge transfer in statistical data mining. To our knowledge, this is the first long-term gap-free high resolution AOD dataset in China, from which spatially contiguous PM2.5 and PM10 concentrations were estimated using an ensemble learning approach. Ground validation results indicate that the LGHAP AOD data are in a good agreement with in situ AOD observations from AERONET, with R of 0.91 and RMSE equaling to 0.21. Meanwhile, PM2.5 and PM10 estimations also agreed well with ground measurements, with R of 0.95 and 0.94 and RMSE of 12.03 and 19.56 μg m−3, respectively. Overall, the LGHAP provides a suite of long-term gap free gridded maps with high-resolution to better examine aerosol changes in China over the past two decades, from which three distinct variation periods of haze pollution were revealed in China. Additionally, the proportion of population exposed to unhealthy PM2.5 was increased from 50.60 % in 2000 to 63.81 % in 2014 across China, which was then drastically reduced to 34.03 % in 2020. Overall, the generated LGHAP aerosol dataset has a great potential to trigger multidisciplinary applications in earth observations, climate change, public health, ecosystem assessment, and environmental management. The daily resolution AOD, PM2.5, and PM10 datasets can be publicly accessed at https://doi.org/10.5281/zenodo.5652257 (Bai et al., 2021a), https://doi.org/10.5281/zenodo.5652265 (Bai et al., 2021b), and https://doi.org/10.5281/zenodo.5652263 (Bai et al., 2021c), respectively. Meanwhile, monthly and annual mean datasets can be found at https://doi.org/10.5281/zenodo.5655797 (Bai et al., 2021d) and https://doi.org/10.5281/zenodo.5655807 (Bai et al., 2021e), respectively. Python, Matlab, R, and IDL codes were also provided to help users read and visualize these data.

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Improved Clay Mineral Identification by LIBS/Raman Data Fusion: Implications for in situ Mars Exploration

10.46427/gold2020.823 ◽

2020 ◽

Author(s):

Erin Gibbons ◽

Richard Leveille ◽

Kim Berlo

Keyword(s):

Data Fusion ◽

Clay Mineral ◽

Mars Exploration ◽

Mineral Identification

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The MULTI OBSERVATIONS Thematic Assembly Centre of the Copernicus Marine Environment Monitoring Service

10.5194/egusphere-egu21-12922 ◽

2021 ◽

Author(s):

Stephanie Guinehut ◽

Bruno Buongiorno Nardelli ◽

Trang Chau ◽

Frederic Chevallier ◽

Daniele Ciani ◽

...

Keyword(s):

Data Fusion ◽

Sea Surface ◽

Sea Surface Salinity ◽

Global Ocean ◽

Environment Monitoring ◽

Surface Salinity ◽

In Situ Observations ◽

Marine Environment Monitoring ◽

Monitoring Service

Complementary to ocean state estimate provided by modelling/assimilation systems, a multi observations-based approach is available through the MULTI OSERVATIONS (MULTIOBS) Thematic Assembly Center (TAC) of the European Copernicus Marine Environment Monitoring Service (CMEMS).CMEMS MULTIOBS TAC proposes products based on satellite & in situ observations and state-of-the-art data fusion techniques. These products are fully qualified and documented and, are distributed through the CMEMS catalogue (http://marine.copernicus.eu/services-portfolio). They cover the global ocean for physical and biogeochemical (BGC) variables. They are available in Near-Real-Time (NRT) or as Multi-Year Products (MYP) for the past 28 to 36 years.Satellite input observations include altimetry but also sea surface temperature, sea surface salinity as well as ocean color. In situ observations of physical and BGC variables are from autonomous platform such as Argo, moorings and ship-based measurements. Data fusion techniques are based on multiple linear regression method, multidimensional optimal interpolation method or neural networks.MULTIOBS TAC provides the following products at global scale:<ul><li>3D temperature, salinity and geostrophic current fields, both in NRT and as MYP;</li> <li>2D sea surface salinity and sea surface density fields, both in NRT and as MYP;</li> <li>2D total surface and near-surface currents, both in NRT and as MYP;</li> <li>3D vertical current as MYP;</li> <li>2D surface carbon fields of CO2 flux (fgCO2), pCO2 and pH as MYP;</li> <li>Nutrient vertical distribution (including nitrate, phosphate and silicate) profiles as MYP;</li> <li>3D Particulate Organic Carbon (POC) and Chlorophyll-a (Chl-a) fields as MYP.</li> </ul>Furthermore, MULTIOBS TAC provides specific Ocean Monitoring Indicators (OMIs), based on the above products, to monitor the global ocean 3D hydrographic variability patterns (water masses) and the global ocean carbon sink.

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CARTA DE SUSCEPTIBILIDADE A INFILTRAÇÃO DA ÁGUA NO SOLO NA SUB-BACIA DO RIO MARACANÃ-MA

Cadernos de Pesquisa ◽

10.18764/2178-2229.v20n.especialp63-71 ◽

2013 ◽

Author(s):

José do Nascimento Santos ◽

Ediléa Dutra Pereira

Keyword(s):

Water Infiltration ◽

Aquifer Recharge ◽

Human Occupation ◽

Double Ring ◽

Calidad De Vida ◽

Infiltration Tests ◽

Geotechnical Information ◽

Del Rio ◽

Infiltration Behavior

O estudo do comportamento da infiltração na sub-bacia do Rio Maracanã buscou o entendimento do comportamento da infiltração da água na sub-bacia do Rio Maracanã, onde foram realizados teste de infiltração in situ com infiltrômetro de duplo anel, associado aos conhecimentos geológicos-geotécnicos da área que subsidiou a elaboração da Carta de susceptibilidade a infiltração da água no solo da sub-bacia do Rio Maracanã utilizando o método de krigagem. As áreas de recarga estão severamente impactadascom baixa susceptibilidade à infiltração em decorrência do intensivo uso e ocupação. Esse comportamento paulatinamente atinge severamente a biodiversidade local. A melhoria da qualidade de vida na sub-bacia do Rio Maracanã depende de um planejamento municipal, principalmente no uso e ocupação do solo e das diversas atividades humanas realizadas na área.Palavras-chave: Infiltração. Recarga de aquífero. Sub-bacia do Rio Maracanã.INFILTRATION ZONING ON THE GROUND OF MARACANÃ RIVER SUB-BASIN - MAAbstract: The main aims of this work (This report or) was studied the infiltration behavior of the Rio Maracanã sub-basin in order to understand the water infiltration behavior. Infiltration tests were performed in situ with double ring infiltrometer, combined with geologic and geotechnical information that supported the drafting susceptibility to water infiltration of the area and soil of the sub-basin using the kriging method. The aquifer recharge areas are severely impacted with low susceptibility to infiltration due to intensive human use and occupation. This behavior gradually affects local biodiversity. To improving the quality of life at the Rio Maracanã sub-basin its necessary a municipal planning specially focused in the human occupation and use of land in several activities.Keywords: Infiltration. Aquifer recharge. Sub-basin of Maracanâ RiverCARTA DE LA SUSCEPTIBILIDAD A LA INFILTRACIÓN DE AGUA EN EL SUELO DE LA SUB-CUENCA DEL RÍO MARACANÃ-MAResumen: El estudio del comportamiento de la infiltración en la subcuenca del Río Maracanã trató de comprender el comportamiento de la infiltración del agua en la subcuenca del Rio Maracaná, donde se realizó el ensayo de infiltración in situ con infiltrómetro de doble anillo, combinado con conocimientos geológicos y geotécnicos de la área que apoyó la redacción de la Carta de la susceptibilidad a la infiltración de agua en el suelo de la sub-cuenca del Río Maracanã utilizando el método de kriging. Las áreas de recarga se ven muy afectadas con la baja susceptibilidad a la infiltración debido a un uso intensivo y la ocupación. Este comportamiento gradualmente afecta gravemente a la biodiversidad local. La mejora de la calidad de vida en la subcuenca del Río Maracanã depende de una planificación municipal, especialmente en el uso y ocupación del suelo y las diversas actividades realizadas en la zona.Palabras clave: Infiltración. Recarga de los acuíferos. Sub-cuenca del Rio Maracanã.

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Super-resolved spatial transcriptomics by deep data fusion

10.1101/2020.02.28.963413 ◽

2020 ◽

Author(s):

Ludvig Bergenstråhle ◽

Bryan He ◽

Joseph Bergenstråhle ◽

Alma Andersson ◽

Joakim Lundeberg ◽

...

Keyword(s):

Gene Expression ◽

Data Fusion ◽

Tissue Section ◽

In Silico ◽

Anatomical Features ◽

Transcriptome Expression ◽

Micrometer Scale

In situ RNA capturing has made it possible to record histology and spatial gene expression from the same tissue section. Here, we introduce a method that combines data from both modalities to infer super-resolved full-transcriptome expression maps. Our method unravels transcriptional heterogeneity in micrometer-scale anatomical features and enables image-based in silico spatial transcriptomics without hybridization or sequencing.

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