Use of Derivative Calculations and Minimum Noise Fraction Transform for Detecting and Correcting the Spectral Curvature Effect (Smile) in Hyperion Images

Dadon, Alon; Ben‐Dor, Eyal; Karnieli, Arnon

doi:10.1109/tgrs.2010.2040391

Cited by 66 publications

(31 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To note, several commercial software programs are available to estimate surface reflectance (primarily addressing atmospheric correction) (e.g. see Dadon et al, 2010;Wang et al, 2010). Commercial software was not available to the authors, thus, Hyperion TOA reflectance is presented with removal of known atmospheric absorption interference features.…”

Section: Hyperspectral Reflectancementioning

confidence: 99%

Geochemical characterization of supraglacial debris via in situ and optical remote sensing methods: a case study in Khumbu Himalaya, Nepal

2012

View full text Add to dashboard Cite

Abstract. Surface glacier debris samples and field spectra were collected from the ablation zones of Nepal Himalaya Ngozumpa and Khumbu glaciers in November and December 2009. Geochemical and mineral compositions of supraglacial debris were determined by X-ray diffraction and X-ray fluorescence spectroscopy. This composition data was used as ground truth in evaluating field spectra and satellite supraglacial debris composition and mapping methods. Satellite remote sensing methods for characterizing glacial surface debris include visible to thermal infrared hyper-and multispectral reflectance and emission signature identification, semi-quantitative mineral abundance indicies and spectral image composites. Satellite derived supraglacial debris mineral maps displayed the predominance of layered silicates, hydroxyl-bearing and calcite minerals on Khumbu Himalayan glaciers. Supraglacial mineral maps compared with satellite thermal data revealed correlations between glacier surface composition and glacier surface temperature. Glacier velocity displacement fields and shortwave, thermal infrared false color composites indicated the magnitude of mass flux at glacier confluences. The supraglacial debris mapping methods presented in this study can be used on a broader scale to improve, supplement and potentially reduce errors associated with glacier debris radiative property, composition, areal extent and mass flux quantifications.

show abstract

Section: Hyperspectral Reflectancementioning

confidence: 99%

Geochemical characterization of supraglacial debris via in situ and optical remote sensing methods: a case study in Khumbu Himalaya, Nepal

2012

View full text Add to dashboard Cite

show abstract

“…Hyperion data has potential advantages over multispectral instruments such as Landsat-ETM+ due to its high spectral resolution data that provides an enhanced level of information for atmospheric correction in order to derive surface reflectance and achieve better classification results. The classification of the IR image is not presented in the current paper and is detailed in Dadon et al (2010Dadon et al ( , 2011. Both the classified image and the DTM are combined in a semi-automated process to extract structural attributes for each geological layer.…”

Section: Methodology Input Datamentioning

confidence: 99%

“…The IS classification that was used in the current paper consists of geocoded raster classes that correspond to the different geological layers. The IR classification process is detailed in Dadon et al (2010Dadon et al ( , 2011.…”

Section: )mentioning

confidence: 99%

A Semi-automated GIS Model for Extracting Geological Structural Information from a Spaceborne Thematic Image

Dadon

Peeters

Ben‐Dor

et al. 2011

GIScience & Remote Sensing

View full text Add to dashboard Cite

This paper presents a semi-automated GIS model for extracting structural information from a spaceborne imaging spectroscopy classification of sedimentary rocks by combining the IS classification with a digital terrain model. The output consists of a database with structural attributes, specifically the dip and strike, of the geological layers. The model was evaluated statistically for its accuracy with promising results, which demonstrate its potential to support field surveys, for geological mapping, for 3D modeling of the subsurface, and for geological spatial analysis.

show abstract

“…Apart from the vicarious calibration methods frequently applied to multispectral remote sensing satellites, some novel methods for hyperspectral sensors have also been proposed in recent years, such as the improved irradiance-based method [20] and supervised vicarious calibration method [21,22]. A distinguishing characteristic of a hyperspectral sensor is its high spectral resolution, and spectral smile effect and spectral shift may greatly affect the radiometric accuracy near the atmospheric absorption wavelength regions [7,23,24]. Due to the lack of on-board calibrator and pre-launch radiometric calibration, the in-orbit calibration of the SPARK-01 and -02 satellites was achieved via a calibration experiment performed at the dry Dunhuang site in the Gobi Desert in western China from 28 February to 10 March 2017.…”

Section: Satellite Characteristic Descriptionmentioning

confidence: 99%

Vicarious Radiometric Calibration of the Hyperspectral Imaging Microsatellites SPARK-01 and -02 over Dunhuang, China

Zhang

Chen

et al. 2018

Remote Sensing

View full text Add to dashboard Cite

Two wide-swath hyperspectral imaging microsatellites, SPARK-01 and -02, were launched on 22 December 2016. Radiometric calibration coefficients were determined for these two satellites via a calibration experiment performed from the end of February to the beginning of March 2017 at the high-altitude, homogenous Dunhuang calibration site in the Gobi Desert in China. In-situ measurements, including ground reflectance, direct transmittance, diffuse-to-global irradiance ratio, and radiosonde vertical profile, were acquired. A unique relative calibration procedure was developed using actual satellite images. This procedure included dark current computation and non-uniform correction processes. The former was computed by averaging multiple lines of long strip imagery acquired over open oceans during nighttime, while the latter was computed using images acquired after the adjustment of the satellite yaw angle to 90 • . This technique was shown to be suitable for large-swath satellite image relative calibration. After relative calibration, reflectance, irradiance, and improved irradiance-based methods were used to conduct absolute radiometric calibrations in order to predict the top-of-atmosphere (TOA) radiance. The SPARK-01 and -02 satellites passed over the calibration site on 7 March and 28 February 2017, during which time fair and non-ideal weather occurred, respectively. Thus, the SPARK-01 calibration coefficient was derived using reflectance-and irradiance-based methods, while that of SPARK -02 was derived using reflectanceand improved irradiance-based methods. The sources of calibration uncertainty, which include aerosol-type assumptions, transmittance measurements, water vapor content retrieval, spectral wavelength shift and satellite image misregistration, were explored in detail for different calibration methods. Using the reflectance and irradiance-based methods, the total uncertainty for SPARK-01 was estimated to be 4.7% and 4.1%, respectively, in the <1000 nm spectral range. For SPARK-02, total uncertainties of 8.1% and of 5.9% were estimated using the reflectance-and improved irradiance-based methods, respectively. The calibration methods were also verified using MODIS images, which confirmed that the calibration accuracies were within the expected range. These in-situ measurements, analyses, and results provide a basis for in-orbit radiometric calibration of the SPARK-01 and -02 satellites. These experiments strongly support the use of diffuse-to-global ratio measurements in in-situ vicarious calibration experiments and the addition of spectrally continuous measurements for direct transmittance, which is important for hyperspectral satellite sensors.

show abstract

Use of Derivative Calculations and Minimum Noise Fraction Transform for Detecting and Correcting the Spectral Curvature Effect (Smile) in Hyperion Images

Cited by 66 publications

References 37 publications

Geochemical characterization of supraglacial debris via in situ and optical remote sensing methods: a case study in Khumbu Himalaya, Nepal

Geochemical characterization of supraglacial debris via in situ and optical remote sensing methods: a case study in Khumbu Himalaya, Nepal

A Semi-automated GIS Model for Extracting Geological Structural Information from a Spaceborne Thematic Image

Vicarious Radiometric Calibration of the Hyperspectral Imaging Microsatellites SPARK-01 and -02 over Dunhuang, China

Contact Info

Product

Resources

About