Impact of the aerosol type on HICO™ atmospheric correction in coastal waters

Abstract. The aim of this work is to evaluate the radiative impact of the aerosol type on the results of the atmospheric correction of HICO™ (Hyperspectral Imager for the Coastal Ocean) hyperspectral data. The reflectance was obtained by using the HICO@CRI (HICO ATmospherically Corrected Reflectance Imagery) algorithm, a physically-based atmospheric correction algorithm developed specifically for HICO™ data by adapting the vector version of the Second Simulation of a Satellite Signal in the Solar Spectrum (6SV) radiative transfer code. The HICO@CRI algorithm was applied on six HICO™ images acquired in the Northern part of the Mediterranean Basin, using the micro-physical properties measured with a CIMEL sun sky-radiometer at the Acqua Alta Oceanographic Tower (AAOT) AERONET site and the optical properties of the maritime, continental, and urban aerosol types provided by default by the 6SV. The results highlight that the aerosol type can improve the accuracy of the atmospheric correction. Indeed, the accuracy of the water reflectance retrieved from the available HICO™ data decreases in the sensor spectral domain, considering the AERONET micro-physical properties, of 30% using the urban aerosol type, of 20% using the continental type, and finally of less than 10% assuming a maritime type. Thus, the aerosol type has to be taken into consideration in the atmospheric correction of hyperspectral data over coastal environment, if water quality analysis has to be performed, because of the influence of aerosol type on the water reflectance.

Download Full-text

The impact of the microphysical properties of aerosol on the atmospheric correction of hyperspectral data in coastal waters

Atmospheric Measurement Techniques ◽

10.5194/amt-8-1593-2015 ◽

2015 ◽

Vol 8 (3) ◽

pp. 1593-1604 ◽

Cited By ~ 12

Author(s):

C. Bassani ◽

C. Manzo ◽

F. Braga ◽

M. Bresciani ◽

C. Giardino ◽

...

Keyword(s):

Accuracy Assessment ◽

Atmospheric Correction ◽

Solar Spectrum ◽

Hyperspectral Data ◽

High Spectral Resolution ◽

Quality Analysis ◽

Microphysical Properties ◽

Quantitative Remote Sensing ◽

The Impact ◽

Aerosol Types

Abstract. Hyperspectral imaging provides quantitative remote sensing of ocean colour by the high spectral resolution of the water features. The HICO™ (Hyperspectral Imager for the Coastal Ocean) is suitable for coastal studies and monitoring. The accurate retrieval of hyperspectral water-leaving reflectance from HICO™ data is still a challenge. The aim of this work is to retrieve the water-leaving reflectance from HICO™ data with a physically based algorithm, using the local microphysical properties of the aerosol in order to overcome the limitations of the standard aerosol types commonly used in atmospheric correction processing. The water-leaving reflectance was obtained using the HICO@CRI (HICO ATmospherically Corrected Reflectance Imagery) atmospheric correction algorithm by adapting the vector version of the Second Simulation of a Satellite Signal in the Solar Spectrum (6SV) radiative transfer code. The HICO@CRI algorithm was applied on to six HICO™ images acquired in the northern Mediterranean basin, using the microphysical properties measured by the Acqua Alta Oceanographic Tower (AAOT) AERONET site. The HICO@CRI results obtained with AERONET products were validated with in situ measurements showing an accuracy expressed by r2 = 0.98. Additional runs of HICO@CRI on the six images were performed using maritime, continental and urban standard aerosol types to perform the accuracy assessment when standard aerosol types implemented in 6SV are used. The results highlight that the microphysical properties of the aerosol improve the accuracy of the atmospheric correction compared to standard aerosol types. The normalized root mean square (NRMSE) and the similar spectral value (SSV) of the water-leaving reflectance show reduced accuracy in atmospheric correction results when there is an increase in aerosol loading. This is mainly when the standard aerosol type used is characterized with different optical properties compared to the local aerosol. The results suggest that if a water quality analysis is needed the microphysical properties of the aerosol need to be taken into consideration in the atmospheric correction of hyperspectral data over coastal environments, because aerosols influence the accuracy of the retrieved water-leaving reflectance.

Download Full-text

Calibration of Satellite Low Radiance by AERONET-OC Products and 6SV Model

Remote Sensing ◽

10.3390/rs13040781 ◽

2021 ◽

Vol 13 (4) ◽

pp. 781

Author(s):

Cristiana Bassani ◽

Sindy Sterckx

Keyword(s):

Optical Sensors ◽

Atmospheric Correction ◽

Solar Spectrum ◽

Water Quality Monitoring ◽

Radiative Transfer Model ◽

Transfer Model ◽

Blue Band ◽

Satellite Signal ◽

Almost All ◽

User Friendly

For water quality monitoring using satellite data, it is often required to optimize the low radiance signal through the application of radiometric gains. This work describes a procedure for the retrieval of radiometric gains to be applied to OLI/L8 and MSI/S2A data over coastal waters. The gains are defined by the ratio of the top of atmosphere (TOA) reflectance simulated using the Second Simulation of a Satellite Signal in the Solar Spectrum—vector (6SV) radiative transfer model, REF, and the TOA reflectance acquired by the sensor, MEAS, over AERONET-OC stations. The REF is simulated considering quasi-synchronous atmospheric and aquatic AERONET-OC products and the image acquisition geometry. Both for OLI/L8 and MSI/S2A the measured TOA reflectance was higher than the modeled signal in almost all bands resulting in radiometric gains less than 1. The use of retrieved gains showed an improvement of reflectance remote sensing, Rrs, when with ACOLITE atmospheric correction software. When the gains are applied an accuracy improvement of the Rrs in the 400–700 nm domain was observed except for the first blue band of both sensors. Furthermore, the developed procedure is quick, user-friendly, and easily transferable to other optical sensors.

Download Full-text

MODEL KOREKSI ATMOSFER CITRA LANDSAT-7 (ATMOSPHERIC CORRECTION MODELS OF LANDSAT-7 IMAGERY)

Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital ◽

10.30536/j.pjpdcd.1017.v14.a2595 ◽

2018 ◽

Vol 14 (2) ◽

Author(s):

Fadila Muchsin ◽

Liana Fibriawati ◽

Kuncoro Adhi Pradhono

Keyword(s):

Atmospheric Correction ◽

Solar Spectrum ◽

Processing System ◽

Line Of Sight ◽

Adaptive Processing ◽

Spectral Pattern ◽

Ecosystem Disturbance ◽

Corrected Image ◽

Landsat 7 ◽

Satellite Signal

Three methods of atmospheric correction, Second Simulation of the Satellite Signal in the Solar Spectrum (6S), Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) and the model Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes (FLAASH), have been applied to the level 1T Landsat-7 image Jakarta area. The atmospheric corrected image is then compared with the TOA reflectance image. The results show that there is an improvement of the spectral pattern on the TOA reflectance image by the decrease of the reflectance value of each object by (1 - 11) % after the atmospheric correction of all models for visible bands (blue, green and red). In the NIR and SWIR bands there is an increase in the spectral value of about 1% to the TOA reflectance on all objects except wetland for the LEDAPS model. The percentage of the increase and the decrease in spectral values of 6S and FLAASH models have the same tendency. Analyzes were also performed on the NDVI values of each model, where NDVI values were relatively higher after atmospheric correction. The NDVI value of rice crop on FLAASH model is the same as 6S model that is equal to 0.95 and for wetland, it has the same value between FLAASH model and LEDAPS which is 0.23. NDVI value of entire scene for FLAASH model = 0.63, LEDAPS model = 0.56 and 6S model = 0.66. Before the atmospheric correction, the TOA is 0.45. Abstrak Tiga metode koreksi atmosfer diantaranya Second Simulation of the Satellite Signal in the Solar Spectrum (6S), Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) dan model Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes (FLAASH) telah diterapkan pada citra Landsat-7 level 1T wilayah Jakarta. Citra yang telah terkoreksi atmosfer dibandingkan dengan citra reflektan TOA. Hasilnya menunjukkan bahwa terdapat perbaikan pola spektral pada citra reflektan TOA dengan adanya penurunan nilai reflektan setiap obyek sebesar (1 – 11) % setelah dilakukan koreksi atmosfer pada semua model untuk kanal-kanal visible (blue, green dan red). Pada kanal NIR dan SWIR terjadi kenaikan nilai spektral yaitu sekitar 1% terhadap reflektan TOA pada semua objek terkecuali objek lahan basah untuk model LEDAPS. Persentase kenaikan dan penurunan nilai spektral model 6S dan FLAASH memiliki kecenderungan yang sama. Analisis juga dilakukan terhadap nilai NDVI masing-masing model, dimana nilai NDVI relatif lebih tinggi setelah koreksi atmosfer. Nilai NDVI tanaman padi pada model FLAASH sama dengan model 6S yaitu sebesar 0.95 dan untuk lahan basah memiliki nilai yang sama antara model FLAASH dan LEDAPS yaitu 0.23. Nilai NDVI seluruh scene untuk model FLAASH = 0.63, model LEDAPS = 0.56 dan model 6S = 0.66. Sebelum koreksi atmosfer (TOA) adalah 0.45.

Download Full-text

DEVELOPMENT OF SCHEME FOR THE ATMOSPHERIC CORRECTION OF LANDSAT-8 OLI DATA

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-5-671-2018 ◽

2018 ◽

Vol XLII-5 ◽

pp. 671-674

Author(s):

V. N. Pathak ◽

M. R. Pandya ◽

D. B. Shah ◽

H. J. Trivedi

Keyword(s):

Atmospheric Correction ◽

Solar Spectrum ◽

Coefficient Of Determination ◽

Radiative Transfer Model ◽

Transfer Model ◽

Landsat 8 ◽

Surface Reflectance ◽

Standard Data ◽

Satellite Signal

Abstract. In the present study, a physics based method called Scheme for Atmospheric Correction of Landsat-8 (SACLS8) is developed for the Operational Land Imager (OLI) sensor of Landsat-8. The Second Simulation of the Satellite Signal in the Solar Spectrum Vector (6SV) radiative transfer model is used in the simulations to obtain the surface reflectance. The surface reflectance derived using the SACL8 scheme is validated with the in-situ measurements of surface reflectance carried out at the homogeneous desert site located in the Little Rann of Kutch, Gujarat, India. The results are also compared with Landsat-8 surface reflectance standard data product over the same site. The good agreement of results with high coefficient of determination (R2>0.94) and low root mean square error (of the order of 0.03) with in-situ measurement values as well as those obtained from the Landsat-8 surface reflectance data establishes a good performance of the SACLS8 scheme for the atmospheric correction of Landsat-8 dataset.

Download Full-text

HIGH RESOLUTION AEROSOL OPTICAL DEPTH MAPPING OF BEIJING USING LANSAT8 IMAGERY

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprsarchives-xli-b8-1309-2016 ◽

2016 ◽

Vol XLI-B8 ◽

pp. 1309-1312

Author(s):

Yan Li ◽

Yuanliang Liu ◽

Jianliang Wu

Keyword(s):

Aerosol Optical Depth ◽

Optical Depth ◽

Urban Areas ◽

Surface Albedo ◽

Atmospheric Correction ◽

Solar Spectrum ◽

Temporal Data ◽

A Value ◽

Innovative Method ◽

Satellite Signal

Aerosol Optical Depth (AOD) is one of the most important parameters in the atmospheric correction of remote sensing images. We present a new method of per pixel AOD retrieval using the imagery of Landsat8. It is based on Second Simulation of the Satellite Signal in the Solar Spectrum (6S). General dark target method takes dense vegetation pixels as dark targets and derives their 550nm AODs directly from the LUT, and interpolates the AODs of other pixels according to spatial neighbourhood using those of dark target pixels. This method will down estimate the AOD levels for urban areas. We propose an innovative method to retrieval the AODs using multiple temporal data. For a pixel which has nothing change between the associated time, there must exists an intersection of surface albedo. When there are enough data to find the intersection it ought to be a value that meet the error tolerance. In this paper, we present an example of using three temporal Landsat ETM+ image to retrieve AOD taking Beijing as the testing area. The result is compared to the commonly employed dark target algorithm to show the effectiveness of the methods.

Download Full-text

EVALUATION OF THE AEROSOL TYPE EFFECT ON THE SURFACE REFLECTANCE RETRIEVAL USING CHRIS/PROBA IMAGES OVER LAND

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprsarchives-xl-7-w3-1311-2015 ◽

2015 ◽

Vol XL-7/W3 ◽

pp. 1311-1316 ◽

Cited By ~ 1

Author(s):

C. Tirelli ◽

C. Manzo ◽

G. Curci ◽

C. Bassani

Keyword(s):

Land Surface ◽

Transport Model ◽

Atmospheric Correction ◽

Hyperspectral Data ◽

Radiative Transfer Model ◽

Urban Site ◽

Transfer Model ◽

Surface Reflectance ◽

Aerosol Model ◽

Aerosol Type

Surface reflectance has a central role in the analysis of land surface for a broad variety of agricultural, geological and urban studies. An accurate atmospheric correction, obtained by an appropriate selection of aerosol type and loading, is the first requirement for a reliable surface reflectance estimation. The aerosol type is defined by its micro-physical properties, while the aerosol loading is described by optical thickness at 550 nm. The aim of this work is to evaluate the radiative impact of the aerosol model on the surface reflectance obtained from CHRIS (Compact High Resolution Imaging Spectrometer) hyperspectral data over land by using the specifically developed algorithm CHRIS@CRI (CHRIS Atmospherically Corrected Reflectance Imagery) based on the 6SV radiative transfer model. Five different aerosol models have been used: one provided by the AERONET inversion products (used as reference), three standard aerosol models in 6SV, and one obtained from the output of the GEOS-Chem global chemistry-transport model (CTM). As test case the urban site of Bruxelles and the suburban area of Rome Tor Vergata have been considered. The results obtained encourages the use of CTM in operational retrieval and provides an evaluation of the role of the aerosol model in the atmospheric correction process, considering the different microphysical properties impact.

Download Full-text

Comparison of FLAASH and 6S Code Atmospheric Correction on Snow Cover Detection in Akita Prefecture, Japan Using MODIS Imagery Data

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.541-542.1394 ◽

2014 ◽

Vol 541-542 ◽

pp. 1394-1397 ◽

Cited By ~ 1

Author(s):

Pai Pai Pan ◽

Kazuki Saruta ◽

Yuki Terata ◽

Guo Yue Chen

Keyword(s):

Snow Cover ◽

Atmospheric Correction ◽

Solar Spectrum ◽

Detection Accuracy ◽

Real Surface ◽

Code Model ◽

Modis Imagery ◽

Akita Prefecture ◽

Satellite Signal ◽

Terra Modis

In order to reduce the error, restore the real surface reflectance, in this work, FLAASH (Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes) model and 6S (Second Simulation of a Satellite Signal in the Solar Spectrum) code model were used to conduct the atmospheric correction for Terra/MODIS data of Akita prefecture in northeast of Japan. From the results of snow cover detection, the accuracy of without atmospheric correction is only 46%, with FLAASH model for atmospheric correction is 86% and the accuracy of with 6S code model for atmospheric correction is 92%. As experimental results show, compared to the snow cover detection without atmospheric correction, the snow cover detection accuracy was improved by 40% and 46% with FLAASH model and 6S code model for atmospheric correction respectively. In addition, the accuracy with 6S code model is higher about 6% than FLAASH model.

Download Full-text

HIGH RESOLUTION AEROSOL OPTICAL DEPTH MAPPING OF BEIJING USING LANSAT8 IMAGERY

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xli-b8-1309-2016 ◽

2016 ◽

Vol XLI-B8 ◽

pp. 1309-1312

Author(s):

Yan Li ◽

Yuanliang Liu ◽

Jianliang Wu

Keyword(s):

Aerosol Optical Depth ◽

Optical Depth ◽

Urban Areas ◽

Surface Albedo ◽

Atmospheric Correction ◽

Solar Spectrum ◽

Temporal Data ◽

A Value ◽

Innovative Method ◽

Satellite Signal

Download Full-text

Aerosol optical depth (AOD) retrieval for atmospheric correction in Landsat-8 imagery using second simulation of a satellite signal in the solar spectrum-vector (6SV)

Communications in Science and Technology ◽

10.21924/cst.4.2.2019.122 ◽

2019 ◽

Vol 4 (2) ◽

pp. 68-73

Author(s):

Abdul Basith ◽

Muhammad Ulin Nuha ◽

Ratna Prastyani ◽

Gathot Winarso

Keyword(s):

Aerosol Optical Depth ◽

Optical Depth ◽

Atmospheric Correction ◽

Solar Spectrum ◽

Landsat 8 ◽

Observation Data ◽

Surface Reflectance ◽

Corrected Image ◽

Satellite Signal ◽

Level 2

Atmospheric correction has been challenging task in digital image processing. It requires several atmospheric parameters in order to obtain accurate surface reflectance of objects within the image scene. One of the most crucial parameters required for accurate atmospheric correction is aerosol optical depth (AOD). AOD can be obtained by in-situ measurement or estimated from remote sensing observation. In this experiment, atmospheric correction was performed using second simulation of a satellite signal in the solar spectrum-vector (6SV) algorithm on Landsat-8 imagery in which AOD parameter was retrieved from surface reflectance inversion involving daily-global surface reflectance product of moderate resolution imaging spectroradiometer (MODIS). Furthermore, AOD retrieved from surface reflectance inversion was also validated using ground-based sun photometer observation data from aerosol robotic network (AERONET) station in Bandung, Indonesia. Our experiment shows the consistency between AOD from surface reflectance inversion and AOD from ground-based observation. Finally, 6SV was performed on Landsat-8 imagery to obtain the surface reflectance. We further compared surface reflectance of 6SV atmospheric correction and surface reflectance of Landsat-8 Level 2 product. The atmospherically corrected image also shared agreeable result with Landsat 8 Level-2 product.

Download Full-text

Quality analysis and prospects for use of lupin seeds of Belarusian selection

Food Science and Applied Biotechnology ◽

10.30721/fsab2020.v3.i1.71 ◽

2020 ◽

Vol 3 (1) ◽

pp. 22

Author(s):

Lyudmila Rukshan ◽

Alena Navazhilova ◽

Dmitry Kudin

Keyword(s):

Chemical Composition ◽

Physical Properties ◽

Wheat Flour ◽

Great Influence ◽

Quality Analysis ◽

Bakery Products ◽

Whole Grain ◽

Technological Parameters ◽

Protein Food ◽

Lupin Seeds

The paper investigates technological parameters of the quality of low-alkaloid lupin of five cultivars selected and grown in the Republic of Belarus during the years from 2007 to 2017. Prospects for the use of the obtained seeds have been studied. This study reveals great influence of cultivar and climatic conditions during growth of lupin seeds on correlation of anatomic parts in seeds as well as on their physical properties. Cultivar of lupin seeds Jan is recommended for whole grain flour and graded flour production based on its anatomic composition, uniformity and physical properties. A comparative analysis of chemical composition, quality parameters and technological properties of lupin flour has been done. The chemical composition of lupin flour, of whole grain lupin flour, in particular, has been found to be relatively low in starch, high in protein, food fibers, minerals and organic acids. As a result, whole grain lupin flour has been proved to have higher food value when compared to traditional wheat flour. This paper demonstrates the difference between lupin flour characteristics and those of wheat flour in terms of color, acidity, enzymatic activity and adsorbing properties. This study reveals the possibility of use of lupin flour in bakery products by substituting traditional types of flour with lupin flour at 10-30% levels, as well as by replacing egg products with lupin flour at 25-50% levels. The work highlights the use of lupin flour at the stages of dough kneading, dough preparation, foam and emulsion production mainly by using rapid dough making methods.Practical applicationsRecommendations have been made on the usage of lupin flour in the technological process of bakery products manufacturing, macaroni and flour confectionery products production.

Download Full-text