Characterization of land surface structure using multidirectional MISR/Terra observations

2004 ◽  
Author(s):  
Jean-Luc Widlowski ◽  
Bernard Pinty ◽  
Nadine Gobron ◽  
Michel M. Verstraete ◽  
Dave J. Diner ◽  
...  
Keyword(s):  
Surface Structure ◽  
Land Surface

Bulk and surface structure characterization of nanoscopic silver doped lanthanum chromites

2013 ◽  
Vol 264 ◽  
pp. 574-580 ◽  
Author(s):  
P.A. Desai ◽  
P.N. Joshi ◽  
K.R. Patil ◽  
Anjali A. Athawale
Keyword(s):  
Surface Structure ◽  
Structure Characterization ◽  
Lanthanum Chromites

Characterization of regular periodic surface structure by multi-pulse laser irradiation of a Zinc target

2012 ◽  
Vol 10 (5) ◽  
pp. 051402-51404 ◽  
Author(s):  
Ming Chen Ming Chen ◽  
Xiangdong Liu Xiangdong Liu ◽  
Yuehua Liu Yuehua Liu ◽  
Mingwen Zhao Mingwen Zhao
Keyword(s):  
Surface Structure ◽  
Laser Irradiation ◽  
Pulse Laser ◽  
Pulse Laser Irradiation ◽  
Periodic Surface ◽  
Periodic Surface Structure

scholarly journals Ultraviolet patterns of flowers revealed in polymer replica – caused by surface architecture

2019 ◽  
Vol 10 ◽  
pp. 459-466 ◽  
Author(s):  
Anna J Schulte ◽  
Matthias Mail ◽  
Lisa A Hahn ◽  
Wilhelm Barthlott
Keyword(s):  
Surface Structure ◽  
Uv Light ◽  
Model Species ◽  
Visual Signaling ◽  
Starting Point ◽  
Structure Lead ◽  
Replication Technique ◽  
First Time ◽  
Uv Reflection

Angiosperms and their pollinators are adapted in a close co-evolution. For both the plants and pollinators, the functioning of the visual signaling system is highly relevant for survival. As the frequency range of visual perception in many insects extends into the ultraviolet (UV) region, UV-patterns of plants play an important role in the flower–pollinator interaction. It is well known that many flowers contain UV-absorbing pigments in their petal cells, which are localized in vacuoles. However, the contribution of the petal surface microarchitecture to UV-reflection remains uncertain. The correlation between the surface structure and its reflective properties is also relevant for biomimetic applications, for example, in the field of photovoltaics. Based on previous work, we selected three model species with distinct UV-patterns to explore the possible contribution of the surface architecture to the UV-signaling. Using a replication technique, we transferred the petal surface structure onto a transparent polymer. Upon illumination with UV-light, we observed structural-based patterns in the replicas that were surprisingly comparable to those of the original petals. For the first time, this experiment has shown that the parameters of the surface structure lead to an enhancement in the amount of absorbed UV-radiation. Spectrophotometric measurements revealed up to 50% less reflection in the UV-absorbing regions than in the UV-reflecting areas. A comparative characterization of the micromorphology of the UV-reflecting and UV-absorbing areas showed that, in principle, a hierarchical surface structure results in more absorption. Therefore, the results of our experiments demonstrate the structural-based amplification of UV-reflection and provide a starting point for the design of bioinspired antireflective and respectively strongly absorbing surfaces.

scholarly journals Accounting for Surface Roughness Scattering in the Characterization of Forest Litter with Ground-Penetrating Radar

2019 ◽  
Vol 11 (7) ◽  
pp. 828
Author(s):  
Frédéric André ◽  
François Jonard ◽  
Mathieu Jonard ◽  
Harry Vereecken ◽  
Sébastien Lambot
Keyword(s):  
Surface Roughness ◽  
Ground Penetrating Radar ◽  
Land Surface ◽  
Forest Litter ◽  
Relative Dielectric Permittivity ◽  
In Situ Experiment ◽  
In Situ Experiments ◽  
Ground Penetrating

Accurate characterization of forest litter is of high interest for land surface modeling and for interpreting remote sensing observations over forested areas. Due to the large spatial heterogeneity of forest litter, scattering from litter layers has to be considered when sensed using microwave techniques. Here, we apply a full-waveform radar model combined with a surface roughness model to ultrawideband ground-penetrating radar (GPR) data acquired above forest litter during controlled and in situ experiments. For both experiments, the proposed modeling approach successfully described the radar data, with improvements compared to a previous study in which roughness was not directly accounted for. Inversion of the GPR data also provided reliable estimates of the relative dielectric permittivity of the recently fallen litter (OL layer) and of the fragmented litter in partial decomposition (OF layer) with, respectively, averaged values of 1.35 and 3.8 for the controlled experiment and of 3.9 and 7.5 for the in situ experiment. These results show the promising potentialities of GPR for efficient and non-invasive characterization of forest organic layers.

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