Identification of Seasonal Snow Phase Changes from C-band SAR Time Series with Dynamic Thresholds

Beltramone, Giuliana; Frery, Alejandro C.; Rotela, Camilo H.; Germán, Alba; Bonansea, Matías; Scavuzzo, Carlos Marcelo; Ferral, Anabella

doi:10.1109/jstars.2023.3281149

Cited by 2 publications

(1 citation statement)

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“…This issue is also related to the snow melting process but is easily detected by microwave SAR (Synthetic Aperture Radar) data and can be included in the models. In this context, satellite sensors operating in the VIS-NIR and Microwave spectra (e.g., LANDSAT, Sentinel, SAOCOM Programs) facilitate the creation of maps with extensive spatial and temporal snow coverage and albedo patterns which can be related to the presence of LAIs, along with their impact on melt dynamics, through specific algorithms (Beltramone et al, 2021;Beltramone et al, 2023). In this context, the development and validation of the models that originate these algorithms, require laboratory-based characterization of these LAIs.…”

Section: How Can Nanotechnology and Satellite Technology Benefit Each...mentioning

confidence: 99%

Bringing satellite and nanotechnologies together: unifying strengths against pollution and climate change

Ferral,

Bonansea,

Scavuzzo

et al. 2024

Front. Nanotechnol.

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Nowadays, we witness remarkable technological progress alongside unprecedented challenges that threaten the delicate balance of our planet’s ecological system. Environmental contamination plays a central role in this, with rapid urbanization, industrialization, mining and agricultural practices intensifying the introduction of pollutants into the environment. This article highlights the potential synergy between two fields operating at vastly different scales: satellite technology and nanotechnology. This article delves into the offerings of each of these disciplines and examines how they can mutually contribute to the detection, prevention and mitigation of environmental pollution. Satellites play a crucial role in identifying and monitoring large-scale polluted areas, offering comprehensive insights into environmental challenges. They are indispensable in tracking air, water pollution levels, assessing land degradation, and monitoring changes in ocean health with relatively high spatial and temporal resolution. Nanotechnology leverages the unique properties of materials at sub-micron scale by offering amplified chemical reactivity and new optical, electronic, and magnetic attributes, enabling selective and sensitive sensors and rapid and efficient contaminant capture/degradation strategies. Emerging nanomaterials, along with nature-inspired and self-powered or self-sustaining designs, broaden capabilities for efficient solutions. Advanced nanocharacterization techniques deepen material understanding and quantification, while nanofabrication allows precise design of functional nano-devices. We believe the synergistic relationship between both fields can yield cooperative solutions, expediting effective measures and greatly influencing policy decisions. This article advocates for the collaboration between these two disciplines to foster impactful progress in facing global challenges.

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Section: How Can Nanotechnology and Satellite Technology Benefit Each...mentioning

confidence: 99%

Bringing satellite and nanotechnologies together: unifying strengths against pollution and climate change

Ferral,

Bonansea,

Scavuzzo

et al. 2024

Front. Nanotechnol.

Self Cite

View full text Add to dashboard Cite

show abstract

Improving Log-Cumulant-Based Estimation of Heterogeneity Information in SAR Imagery

Neto

Rodrigues

2023

IEEE Geosci. Remote Sensing Lett.

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Identification of Seasonal Snow Phase Changes from C-band SAR Time Series with Dynamic Thresholds

Cited by 2 publications

References 37 publications

Bringing satellite and nanotechnologies together: unifying strengths against pollution and climate change

Bringing satellite and nanotechnologies together: unifying strengths against pollution and climate change

Improving Log-Cumulant-Based Estimation of Heterogeneity Information in SAR Imagery

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