scholarly journals Mapping Surface Quartz Content in Sand Dunes Covered by Biological Soil Crusts Using Airborne Hyperspectral Images in the Longwave Infrared Region

Minerals ◽  
2018 ◽  
Vol 8 (8) ◽  
pp. 318 ◽  
Author(s):  
Shahar Weksler ◽  
Offer Rozenstein ◽  
Eyal Ben-Dor
Keyword(s):  
Near Infrared ◽  
Sand Dunes ◽  
Ground Truth ◽  
Infrared Region ◽  
Biological Soil Crusts ◽  
Hyperspectral Images ◽  
Electromagnetic Spectrum ◽  
Quartz Content ◽  
Soil Crusts ◽  
Field Samples

Biological soil crusts (BSCs), composed of cyanobacteria, algae, mosses, lichens, and fungi, are important ecosystem engineers that stabilize the quartz-rich dunes in the Nitzana study area near the Israel–Egypt border. The longwave infrared (LWIR) region of the electromagnetic spectrum is very useful for quartz identification since quartz reflectance in the visible, near infrared, and shortwave infrared (VIS-NIR-SWIR, 0.4–2.5 µm) spectral regions lacks identifying features, whereas in the LWIR region, the quartz emissivity spectrum presents a strong doublet feature. This emissivity feature can be used as a diagnostic tool for BSCs development in desert environments, because BSCs attenuate the quartz feature as a function of their successional development. A pair of day and night airborne hyperspectral images were acquired using the Specim AisaOWL LWIR sensor (7.7–12 µm) and processed using an innovative algorithm to reduce the atmospheric interference in this spectral domain. The resulting day and night apparent emissivity products were used to produce a surface quartz content map of the study area. The significant reduction in atmospheric interference resulted in a high correlation (R2 = 0.88) between quartz content in field samples determined by X-ray powder diffraction analysis and emissivity estimations from the airborne images. This, in turn, served as the ground truth to our quartz content map of the surface, and by proxy to the BSC.

Discussion on wind factor influencing the distribution of biological soil crusts on surface of sand dunes

2013 ◽  
Vol 5 (6) ◽  
pp. 739
Author(s):  
Wu YongSheng ◽  
Erdun Hasi ◽  
Yin RuiPing ◽  
Zhang Xin ◽  
Ren Jie ◽  
...  
Keyword(s):  
Sand Dunes ◽  
Biological Soil Crusts ◽  
Soil Crusts

scholarly journals Algae of biological soil crusts from sand dunes of the Danube Delta biosphere reserve (Odesa Region, Ukraine)

Algologia ◽  
2021 ◽  
Vol 31 (1) ◽  
pp. 25-62
Author(s):  
T.I. Mikhailyuk ◽  
◽  
O.M. Vinogradova ◽  
K. Glaser ◽  
N. Rybalka ◽  
...  
Keyword(s):  
Species Composition ◽  
Phylogenetic Analyses ◽  
Sand Dunes ◽  
Biosphere Reserve ◽  
Biological Soil Crusts ◽  
Danube Delta ◽  
Climate Type ◽  
Soil Crusts ◽  
Comparison Of The Results ◽  
Danube Delta Biosphere Reserve

The species composition of algae from biological soil crusts (biocrusts) on the surface of sand dunes (Black Sea coast, Primorske, Izmail District, Odesa Region, Ukraine) was investigated. Samples were collected from three coastal localities: Katranivska Spit, Zhebryianska Bay and Zhebryianska Ridge. The latter two localities are in the territory of the Danube Delta Biosphere Reserve. The samples were investigated by direct microscopy, followed by a culture approach. 60 species from Chlorophyta (32), Cyanobacteria (16), Streptophyta (7) and Ochrophyta (5) were identified. Representatives of the cyanobacterial genera Microcoleus Desmazières ex Gomont, Coleofasciculus M.Siegesmund, J.R.Johansen & T.Friedl, Nostoc Vaucher ex Bornet & Flahault, Hassallia Berkeley ex Bornet & Flahault, and streptophytes from the genus Klebsormidium P.C.Silva, Mattox & W.H.Blackwell dominated in the studied biocrusts. Phylogenetic analyses based on 16S/18S rRNA as well as 16S-23S ITS/ITS-1,2 regions were undertaken for some strains of cyanobacteria and eukaryotic algae. As a result, species identification and their position in respective phylogeny was refined, as well as aiding the discovery of some interesting and rare species. New genera and species were described (Streptosarcina arenaria Mikhailyuk & Lukešová and Tetradesmus arenicola Mikhailyuk & P.Tsarenko); with two genera (Nodosilinea R.B.Perkerson & D.A.Casamatta and Pleurastrosarcina H.J.Sluiman & P.C.J.Blommers) and four species reported for the first time for the flora of Ukraine (Nodosilinea epilithica Perkerson & Casamatta, Pseudomuriella aurantiaca (W.Vischer) N.Hanagata, Pleurochloris meiringensis Vischer, Pleurastrosarcina terriformae Darienko, W.J.Kang, Orzechowski & Pröschold). Comparison of the results from this study with similar investigations at Cape Kazantip (Sea of Azov, Ukraine) and at two islands of the Baltic Sea (Rügen, Usedom, Germany) revealed that sand composition and texture, as well as climate type of the respective region, are the main factors determining species composition of algae and cyanobacteria in biocrusts of maritime dunes.

scholarly journals Hyperspectral and Multispectral Image Fusion Techniques

2020 ◽  
Vol 8 (5) ◽  
pp. 467-471
Keyword(s):  
Image Fusion ◽  
Hyperspectral Imaging ◽  
Near Infrared ◽  
Spatial Information ◽  
Hyperspectral Image ◽  
Qualitative Comparative Analysis ◽  
Infrared Region ◽  
Multispectral Image ◽  
Electromagnetic Spectrum ◽  
Fusion Methods

The hyper spectral image covers a broad range of wavelengths in electromagnetic spectrum, spanning from visible to near-infrared region. The basic objective of hyperspectral imaging is to attain the spectrum for each pixel in the image of a scene, with the aim of identifying objects in the scene and its classification. The hyperspectral images give detailed spectral information but their spatial resolution is very poor. So to enhance the visual quality of the hyperspectral image, we can perform image fusion with high spatial information multispectral image. This paper provides a complete description of hyperspectral imaging and image fusion methods of hyperspectral and multispectral images. A quantitative and qualitative comparative analysis on performance of various hyperspectral and multispectral image fusion techniques are also done.

Algae of Biological Soil Crusts from Sand Dunes of the Danube Delta Biosphere Reserve (Odesa Region, Ukraine)

2021 ◽  
Vol 23 (1) ◽  
pp. 7-42
Author(s):  
T. I. Mikhailyuk ◽  
O. M. Vinogradova ◽  
K. Glaser ◽  
N. A. Rybalka ◽  
E. M. Demchenko ◽  
...  
Keyword(s):  
Sand Dunes ◽  
Biosphere Reserve ◽  
Biological Soil Crusts ◽  
Danube Delta ◽  
Soil Crusts ◽  
Danube Delta Biosphere Reserve

scholarly journals Topographic differentiations of biological soil crusts and hydraulic properties in fixed sand dunes, Tengger Desert

2014 ◽  
Vol 7 (2) ◽  
pp. 205-215 ◽  
Author(s):  
ZhiShan Zhang ◽  
YongLe Chen ◽  
BinXing Xu ◽  
Lei Huang ◽  
HuiJuan Tan ◽  
...  
Keyword(s):  
Hydraulic Properties ◽  
Sand Dunes ◽  
Biological Soil Crusts ◽  
Tengger Desert ◽  
Soil Crusts

Variation of albedo to soil moisture for sand dunes and biological soil crusts in arid desert ecosystems

2013 ◽  
Vol 71 (3) ◽  
pp. 1281-1288 ◽  
Author(s):  
Ya-feng Zhang ◽  
Xin-ping Wang ◽  
Rui Hu ◽  
Yan-xia Pan ◽  
Hao Zhang
Keyword(s):  
Soil Moisture ◽  
Sand Dunes ◽  
Biological Soil Crusts ◽  
Desert Ecosystems ◽  
Soil Crusts ◽  
Arid Desert

scholarly journals Spectral Response of Eucalyptus saligna under Water Stress in Southern Brazil

2019 ◽  
pp. 1-8
Author(s):  
Lorena de Moura Melo ◽  
Adriano Castelo Dos Santos ◽  
Kardelan Arteiro da Silva ◽  
Uilian do Nascimento Barbosa ◽  
Géssyca Fernanda De Sena Oliveira ◽  
...  
Keyword(s):  
Water Stress ◽  
Water Deficit ◽  
Near Infrared ◽  
Spectral Response ◽  
Infrared Region ◽  
Electromagnetic Spectrum ◽  
Eucalyptus Saligna ◽  
Green Vegetation ◽  
Santa Maria ◽  
Genus Eucalyptus

The present work aims to assess the effect of water stress on the reflectance emitted by leaves of Eucalyptus saligna individuals. The design was completely randomized and the study comprised 30 subjects who underwent 5 cycles of drought simulation, 45 days each. Five individuals were submitted to water deficit treatment and five were used as controls, remaining in adequate water conditions. The experiment and data collection were performed in the external facilities of the forest management laboratory of the Federal University of Santa Maria, Rio Grande do Sul, Brazil. Which it comprised the period from September 2014 to April 2015. Spectral information was collected from 24-month-old tree individuals in adequate water and water stress situations by means of FieldSpec®3 spectroradiometer. Subsequently, the spectral data for the electromagnetic spectrum range from 400 nm to 1700 nm were processed and analyzed. The resulting spectral behavior varied between water stress cycles. In the 450 nm wavelength range, the reflectances ranged from 3.8% to 7.4%, at 550 nm from 7.9% to 14% and at 650 nm from 4.8% to 8.8%. In the near infrared region, in the 900 nm to 1300 nm range, the reflectances ranged from 28% to 62%. The spectral response of E. saligna showed minimal differences when compared to healthy green vegetation, even though it was exposed to water deficit situations. From the information obtained, this research can be used as a parameter for comparative analysis between species belonging to the genus Eucalyptus sp.

The Role of Biological Soil Crusts on Desert Sand Dunes in the Northwestern Negev, Israel

2001 ◽  
pp. 357-367 ◽  
Author(s):  
Maik Veste ◽  
Thomas Littmann ◽  
Siegmar-W. Breckle ◽  
Aaron Yair
Keyword(s):  
Sand Dunes ◽  
Biological Soil Crusts ◽  
Desert Sand ◽  
Soil Crusts

scholarly journals AVIRIS-NG Data for Geological Applications in Southeastern Parts of Aravalli Fold Belt, Rajasthan

Proceedings ◽  
2019 ◽  
Vol 24 (1) ◽  
pp. 16
Author(s):  
Sameeksha Mishra ◽  
Shovan L. Chattoraj ◽  
Alen Benny ◽  
Richa U. Sharma ◽  
P. K. Champati Ray
Keyword(s):  
High Resolution ◽  
Near Infrared ◽  
Country Rock ◽  
Satellite Image ◽  
Infrared Region ◽  
Hyperspectral Data ◽  
Electromagnetic Spectrum ◽  
Fold Belt ◽  
Spectral Angle Mapper ◽  
Iron Bearing

Advanced techniques using high resolution hyperspectral remote sensing data has recently evolved as an emerging tool with potential to aid mineral exploration. In this study, pertinently, five mosaicked scenes of Airborne Visible InfraRed Imaging Spectrometer-Next Generation (AVIRIS-NG) hyperspectral data of southeastern parts of the Aravalli Fold belt in Jahazpur area, Rajasthan, were processed. The exposed Proterozoic rocks in this area is of immense economic and scientific interest because of richness of poly-metallic mineral resources and their unique metallogenesis. Analysis of high resolution multispectral satellite image reveals that there are many prominent lineaments which acted as potential conduits of hydrothermal fluid emanation, some of which resulted in altering the country rock. This study takes cues from studying those altered minerals to enrich our knowledge base on mineralized zones. In this imaging spectroscopic study we have identified different hydrothermally altered minerals consisting of hydroxyl, carbonate and iron-bearing species. Spectral signatures (image based) of minerals such as Kaosmec, Talc, Kaolinite, Dolomite, and Montmorillonite were derived in SWIR (Short wave infrared) region while Iron bearing minerals such as Goethite and Limonite were identified in the VNIR (Visible and Near Infrared) region of electromagnetic spectrum. Validation of the target minerals was done by subsequent ground truthing and X-ray diffractogram (XRD) analysis. The altered end members were further mapped by Spectral Angle Mapper (SAM) and Adaptive Coherence Estimator (ACE) techniques to detect target minerals. Accuracy assessment was reported to be 86.82% and 77.75% for SAM and ACE respectively. This study confirms that the AVIRIS-NG hyperspectral data provides better solution for identification of endmember minerals.

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