scholarly journals Hyperspectral longwave infrared reflectance spectra of dry anthropogenic plastics and natural materials

2020 ◽  
Author(s):  
Shungudzemwoyo P. Garaba ◽  
Tomás Acuña-Ruz ◽  
Cristian B. Mattar
Keyword(s):  
Remote Sensing ◽  
Thermal Infrared ◽  
Detection Algorithm ◽  
Natural Environments ◽  
Plastic Pollution ◽  
Related Field ◽  
Natural Materials ◽  
Robust Detection ◽  
Additional Information ◽  
Spectrum Region

Abstract. Remote sensing of litter is foreseen to be an important source of additional information relevant to scientific awareness about plastic pollution. Here, we document directional hemispherical reflectance measurements of anthropogenic and natural materials gathered along the shorelines of Chiloé Archipelago, Chile. These spectral observations were completed in a laboratory using a state-of-the-art hyperspectral HyLogger-3™ spectrometer in the thermal infrared (TIR) region; medium wave infrared (6000 nm) to long wave infrared (14 500 nm) spectrum at 25 nm intervals. The samples we investigated included sands, shells, algae, nautical ropes, Styrofoam®, gunny sacks and several fragments of plastic based items. The visible colours of these samples included shades of black, blue, brown, green, orange, white and yellow. We grouped the samples using robust statistical approaches (derivatives, peak seeking technique) and visual analyses of the derived hyperspectral reflectances. In each group we derived the average or TIR end-member signal as well as deduced diagnostic wavebands. Most of the diagnostic wavebands picked were found to be inside the atmospheric window of the TIR spectrum region. Furthermore, this laboratory reference dataset and findings might become useful in related field observations using similar thermal infrared technologies, especially in identifying anomalies resulting from environmental and meteorological perturbations. Validation and verification of proposed diagnostic wavebands would be part of a continuing effort to advance TIR remote sensing knowledge as well as assist robust detection algorithm development to potentially distinguish plastics in litter throughout the natural environments. Data is available in open-access via the online repository PANGAEA database of the World Data Centre for Marine Environmental Sciences https://doi.pangaea.de/10.1594/PANGAEA.919536 (Acuña-Ruz and Mattar B., 2020).

scholarly journals Hyperspectral longwave infrared reflectance spectra of naturally dried algae, anthropogenic plastics, sands and shells

2020 ◽  
Vol 12 (4) ◽  
pp. 2665-2678
Author(s):  
Shungudzemwoyo P. Garaba ◽  
Tomás Acuña-Ruz ◽  
Cristian B. Mattar
Keyword(s):  
Remote Sensing ◽  
Thermal Infrared ◽  
Detection Algorithm ◽  
Natural Environments ◽  
Plastic Pollution ◽  
Related Field ◽  
Robust Detection ◽  
Additional Information ◽  
Hemispherical Reflectance ◽  
Spectrum Region

Abstract. Remote sensing of litter is foreseen to become an important source of additional information relevant to scientific awareness about plastic pollution. Here, we document directional hemispherical reflectance measurements of anthropogenic and natural materials gathered along the shorelines of the Chiloé Archipelago, Chile. These spectral observations were completed in a Chilean laboratory using a state-of-the-art hyperspectral HyLogger-3™ thermal infrared (TIR) spectrometer starting from the medium-wave infrared spectrum (6 µm) and going to the longwave infrared (14.5 µm) spectrum at 0.025 µm intervals. The samples we investigated included sands, shells, algae, nautical ropes, Styrofoam®, gunny sacks and several fragments of plastic-based items. The apparent visible colours of these samples included shades of black, blue, brown, green, orange, white and yellow. We grouped the samples using robust statistical approaches (derivatives, peak-seeking technique) and visual analyses of the derived hyperspectral reflectances. In each group we derived an average or TIR end-member signal and determined diagnostic wavebands. Most of the diagnostic wavebands picked were found to be inside the atmospheric window of the TIR spectrum region. Furthermore, this laboratory reference dataset and findings might become useful in related field observations using similar thermal infrared technologies, especially in identifying anomalies resulting from environmental and meteorological perturbations. Validation and verification of proposed diagnostic wavebands would be part of a continuing effort to advance TIR remote sensing knowledge as well as support robust detection algorithm development to potentially distinguish plastics in litter throughout the natural environments. Data are available in open-access form via the online repository PANGAEA, database of the World Data Center for Marine Environmental Sciences: https://doi.org/10.1594/PANGAEA.919536 (Acuña-Ruz and Mattar, 2020).

scholarly journals On Thermal Infrared Remote Sensing of Plastic Pollution in Natural Waters

2019 ◽  
Vol 11 (18) ◽  
pp. 2159 ◽  
Author(s):  
Lonneke Goddijn-Murphy ◽  
Benjamin Williamson
Keyword(s):  
Remote Sensing ◽  
Temperature Difference ◽  
Natural Waters ◽  
Thermal Infrared ◽  
Short Wave ◽  
Plastic Pollution ◽  
Thermal Infrared Remote Sensing ◽  
Sea Temperature ◽  
Weather Forecasts ◽  
Surface Fraction

Plastic pollution in the world’s natural waters is of growing concern and currently receiving significant attention. However, remote sensing of marine plastic litter is still in the developmental stage. Most progress has been made in spectral remote sensing using visible to short-wave infrared wavelengths where optical physics applies. Thermal infrared (TIR) sensing could potentially monitor plastic water pollution but has not been studied in detail. We applied radiative transfer theory to predict TIR sensitivity to changes in the surface fraction of water covered by plastic litter and found that the temperature difference between the water surface and the surroundings controls the TIR signal. Hence, we mapped this difference for various months and times of the day using global SST (sea surface temperature) and t2m (temperature at 2 m height) hourly estimates from the European Centre for Medium-Range Weather Forecasts (ECMWF), ERA5. The maps show how SST-t2m difference varied, altering the anticipated effectivity of TIR floating plastic litter remote sensing. We selected several locations of interest to predict the effectivity of TIR sensing of the plastic surface fraction. TIR remote sensing has promising potential and is expected to be more effective in areas with a high air–sea temperature difference.

scholarly journals Correction: Goddijn-Murphy, L. and Williamson, B. On Thermal Infrared Remote Sensing of Plastic Pollution in Natural Waters. Remote Sensing, 2019, 11, 2159

2020 ◽  
Vol 12 (21) ◽  
pp. 3549
Author(s):  
Lonneke Goddijn-Murphy ◽  
Benjamin Williamson
Keyword(s):  
Remote Sensing ◽  
Natural Waters ◽  
Thermal Infrared ◽  
Plastic Pollution ◽  
Thermal Infrared Remote Sensing ◽  
Infrared Remote Sensing

The authors wish to make the following corrections to this paper [...]

Estimation of crop transpiration and its scale effect based on ground and UAV thermal infrared remote sensing images

2021 ◽  
Vol 131 ◽  
pp. 126389
Author(s):  
Mengjie Hou ◽  
Fei Tian ◽  
S. Ortega-Farias ◽  
C. Riveros-Burgos ◽  
Tong Zhang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Scale Effect ◽  
Thermal Infrared ◽  
Remote Sensing Images ◽  
Thermal Infrared Remote Sensing ◽  
Infrared Remote Sensing

SiO2 Content Retrieving Based on ASTER and its Application in Metallogenic Prediction in Abra, Australian

2012 ◽  
Vol 236-237 ◽  
pp. 72-77
Author(s):  
Guang Xiong Peng ◽  
Ming Yan Wang ◽  
Shu Yue He ◽  
Shu Lan Shu
Keyword(s):  
Remote Sensing ◽  
Empirical Formula ◽  
Thermal Infrared ◽  
Average Error ◽  
Geological Significance ◽  
Transient Electromagnetic ◽  
Metallogenic Prediction ◽  
Infrared Data

The remote sensing measurement of the surface SiO2content has important geological significance .An empirical formula for estimate SiO2content was established based on the correlation between ASTER thermal infrared data and tested Si element from NITON sites in Abra, Australia. The average error of estimated SiO2content is about 15%. ASTER silica alteration derived from SiO2content has good indicative function to find galena. Combined with other prospecting factors as bouger gravity, transient electromagnetic and so on, three vision prospecting targets were optimized, which need more exploration works.

scholarly journals Effects of low-pH stress on shell traits of the dove snail, <i>Anachis misera</i>, inhabiting shallow-vent environments off Kueishan Islet, Taiwan

2015 ◽  
Vol 12 (9) ◽  
pp. 2631-2639 ◽  
Author(s):  
Y. J. Chen ◽  
J. Y. Wu ◽  
C. T. A. Chen ◽  
L. L. Liu
Keyword(s):  
Shell Length ◽  
Shell Thickness ◽  
Expression Profiles ◽  
Shell Shape ◽  
Natural Environments ◽  
Additional Information ◽  
Shell Width ◽  
T1 And T2 ◽  
Body Whorl ◽  
Protein Expression Profiles

Abstract. The effects of naturally acidified seawater on shell traits were quantified through the comparison of dove snails (Family: Columbellidae) Anachis misera from vent environments with Euplica sp. from non-vent sites in northeastern Taiwan. Samples of A. misera were collected around a shallow vent (24.8341° N, 121.96191° E), which included the east, south, southwest, and northwest sites. An absence of Anachis snails was found in the most acidic north site (pH 7.19–7.25). Based on the similarities of protein expression profiles, the Anachis snails were classified into two groups, i.e., V-South (pH 7.78–7.82) and V-Rest (pH 7.31–7.83). Comparing their shell traits to the non-vent Euplica sp. from Da-xi (DX) and Geng-fang (GF) (pH 8.1–8.2), a difference in shell shape (shell width : shell length) was found, with the populations having more globular shells than the non-vent ones. The means of shell width were significantly different among sites (p < 0.01), with a descending order of GF > DX > V-South and V-Rest. The relationships of shell length to total weight were curvilinear for both Anachis and Euplica snails. The logarithmically transformed slopes differed significantly among sites, and the mean body weight of the GF population was greater than that of the others (p < 0.01). Positive correlations between shell length and shell thickness of body whorl (T1) and penultimate whorl (T2) were only observed in non-vent GF and DX populations. Anachis snails from vent sites were thinner in T1 and T2 compared to the Euplica snails from non-vent sites (p < 0.05). Within each vent group, shell thickness between T1 and T2 was insignificantly different. Between vent groups, T1 and T2 from V-Rest showed a decrease of 10.6 and 10.2%, respectively, compared to V-South ones. The decrease of T1 and T2 between vent Anachis snails and non-vent Euplica snails was as great as 55.6 and 29.0%, respectively. This was the first study to compare snail's morphological traits under varying shallow-vent stresses with populations previously classified by biochemical responses. Overall, the shallow-vent-based findings provide additional information from subtropics on the effects of acidified seawater on gastropod snails in natural environments.

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