Vicarious Radiometric Calibrations of EOS Sensors

Slater, Philip N.; Biggar, Stuart F.; Thome, Kurtis J.; Gellman, David I.; Spyak, Paul R.

doi:10.1175/1520-0426(1996)013<0349:vrcoes>2.0.co;2

Cited by 146 publications

(64 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Slater et al, 1996;Fougnie et al, 2007;Powell et al, 2009;Kuze et al, 2014). For example, radiometers have been calibrated by observing an area of the Libyan desert known to have a very stable surface reflectance over time (Smith et al, 2002) or the Moon (Eplee et al, 2011).…”

Section: Measurement Errorsmentioning

confidence: 99%

Known and unknown unknowns: uncertainty estimation in satellite remote sensing

Povey

Grainger

2015

Atmos. Meas. Tech.

View full text Add to dashboard Cite

Abstract. This paper discusses a best-practice representation of uncertainty in satellite remote sensing data. An estimate of uncertainty is necessary to make appropriate use of the information conveyed by a measurement. Traditional error propagation quantifies the uncertainty in a measurement due to well-understood perturbations in a measurement and in auxiliary data -known, quantified "unknowns". The underconstrained nature of most satellite remote sensing observations requires the use of various approximations and assumptions that produce non-linear systematic errors that are not readily assessed -known, unquantifiable "unknowns". Additional errors result from the inability to resolve all scales of variation in the measured quantity -unknown "unknowns". The latter two categories of error are dominant in underconstrained remote sensing retrievals, and the difficulty of their quantification limits the utility of existing uncertainty estimates, degrading confidence in such data. This paper proposes the use of ensemble techniques to present multiple self-consistent realisations of a data set as a means of depicting unquantified uncertainties. These are generated using various systems (different algorithms or forward models) believed to be appropriate to the conditions observed. Benefiting from the experience of the climate modelling community, an ensemble provides a user with a more complete representation of the uncertainty as understood by the data producer and greater freedom to consider different realisations of the data.

show abstract

Section: Measurement Errorsmentioning

confidence: 99%

Known and unknown unknowns: uncertainty estimation in satellite remote sensing

Povey

Grainger

2015

Atmos. Meas. Tech.

View full text Add to dashboard Cite

show abstract

“…The ideal vicarious site should be located at a high altitude with clear skies overhead for a significant portion of the year. In order to eliminate unwanted adjacency effects, the site should be at least 3 pixels by 3 pixels larger than the ground instantaneous field-or-view (GIFOV) of the satellite to be calibrated [207]. The site should provide a range of reflectances or radiances covering the operating range of the satellite instrument.…”

Section: Vicarious Calibration Techniquesmentioning

confidence: 99%

“…The University of Arizona Optical Sciences Center's Remote Sensing Group has developed and refined three vicarious calibration techniques: the reflectance-based, radiance-based, and irradiance (or improved reflectance) based techniques [207]. In the reflectance based technique, the nadir reflectance of the vicarious calibration site is measured using ground-based or airborne radiometers over an area corresponding to the GIFOV of the overflying satellite instrument to be calibrated.…”

Section: Visibldnear Infraredshortwave Infrared Techniquesmentioning

confidence: 99%

10. The Calibration and Characterization of Earth Remote Sensing and Environmental Monitoring Instruments

Butler

Johnson

Barnes

2005

Experimental Methods in the Physical Sciences

View full text Add to dashboard Cite

“…The results were presented for the Landsat 5 TM in a 2.8% standard deviation for the six solar reflective bands. Slater et al (Slater et al 1996) demonstrated four methods for the in-flight radiometric calibration and cross calibration of multispectral imaging sensors. Naughton et al (Naughton et al 2011) realized absolute radiometric calibration of the RapidEye multispectral sensor using reflectance-based vicarious calibration method at Railroad Valley Playa.…”

Section: Introductionmentioning

confidence: 99%

Absolute Radiometric Calibration of the Göktürk-2 Satellite Sensor Using Tuz Gölü (Landnet Site) From Ndvi Perspective

Sakarya

Demirhan

Deveci

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

Commission I, WG I/4 KEY WORDS: Absolute radiometric calibration; Göktürk-2, Tuz Gölü, NDVI ABSTRACT:TÜBİTAK UZAY has conducted a research study on the use of space-based satellite resources for several aspects of agriculture. Especially, there are two precision agriculture related projects: HASSAS (Widespread application of sustainable precision agriculture practices in Southeastern Anatolia Project Region (GAP) Project) and AKTAR (Smart Agriculture Feasibility Project). The HASSAS project aims to study development of precision agriculture practice in GAP region. Multi-spectral satellite imagery and aerial hyperspectral data along with ground measurements was collected to analyze data in an information system. AKTAR aims to develop models for irrigation, fertilization and spectral signatures of crops in Inner Anatolia. By the end of the project precision agriculture practices to control irrigation, fertilization, pesticide and estimation of crop yield will be developed. Analyzing the phenology of crops using NDVI is critical for the projects. For this reason, absolute radiometric calibration of the Red and NIR bands in space-based satellite sensors is an important issue. The Göktürk-2 satellite is an earth observation satellite which was designed and built in Turkey and was launched in 2012. The Göktürk-2 satellite sensor has a resolution 2.5 meters in panchromatic and 5 meters in R/G/B/NIR bands. The absolute radiometric calibration of the Göktürk-2 satellite sensor was performed via the ground-based measurementsspectra-radiometer, sun photometer, and meteorological station-in Tuz Gölü cal/val site in 2015. In this paper, the first ground-based absolute radiometric calibration results of the Göktürk-2 satellite sensor using Tuz Gölü is demonstrated. The absolute radiometric calibration results of this paper are compared with the published cross-calibration results of the Göktürk-2 satellite sensor utilizing Landsat 8 imagery. According to the experimental comparison results, the Göktürk-2 satellite sensor coefficients for red and NIR bands estimated in this work sustained to agree within 2% of calibration coefficients estimated in the cross-calibration results.

show abstract

Vicarious Radiometric Calibrations of EOS Sensors

Cited by 146 publications

References 0 publications

Known and unknown unknowns: uncertainty estimation in satellite remote sensing

Known and unknown unknowns: uncertainty estimation in satellite remote sensing

10. The Calibration and Characterization of Earth Remote Sensing and Environmental Monitoring Instruments

Absolute Radiometric Calibration of the Göktürk-2 Satellite Sensor Using Tuz Gölü (Landnet Site) From Ndvi Perspective

Contact Info

Product

Resources

About