Comparison of diffuse sky irradiance calculation methods and effect on surface reflectance retrieval from an automated radiometric calibration test site

Nathan Leisso, Jeffrey S Czapla-Myers

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The Remote Sensing Group (RSG) at the University of Arizona is currently refining an automated system for the absolute radiometric calibration of earth-observing sensors. The Radiometric Calibration Test Site (RadCaTS) relies on semi-permanent instrumentation at the Railroad Valley (RRV) test site to collect data from which surface reflectance and an atmospheric characterization is determined. Multispectral surface reflectance is determined from calibrated ground viewing radiometers and assimilated to determine the hyperspectral reflectance used in radiative transfer calculations. The reflectance retrieval algorithm relies on an accurate determination of the diffuse sky irradiance for the time of interest. Currently, diffuse sky irradiance is modeled using the atmospheric characterization as input into MODTRAN5. This work investigates the accuracy of the diffuse sky modeling by comparing modeled results to measurements made at the test site. Diffuse sky irradiance from several alternative methods are also presented. Surface reflectance is computed and compared to in-situ measurements taken with a portable spectoradiometer.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Volume8153
DOIs
StatePublished - 2011
EventEarth Observing Systems XVI - San Diego, CA, United States
Duration: Aug 23 2011Aug 25 2011

Other

OtherEarth Observing Systems XVI
CountryUnited States
CitySan Diego, CA
Period8/23/118/25/11

Fingerprint

Radiometric Calibration
Irradiance
Reflectance
irradiance
retrieval
sky
Retrieval
Calibration
reflectance
rail transportation
In Situ Measurements
Radiometer
Radiative Transfer
Radiative transfer
Railroads
refining
Radiometers
radiometers
in situ measurement
Instrumentation

Keywords

  • automated calibration test site
  • diffuse sky irradiance
  • ground viewing radiometer
  • Railroad Valley
  • surface reflectance
  • Vicarious calibration

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

Cite this

Comparison of diffuse sky irradiance calculation methods and effect on surface reflectance retrieval from an automated radiometric calibration test site. / Leisso, Nathan; Czapla-Myers, Jeffrey S.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 8153 2011. 815310.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Leisso, N & Czapla-Myers, JS 2011, Comparison of diffuse sky irradiance calculation methods and effect on surface reflectance retrieval from an automated radiometric calibration test site. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 8153, 815310, Earth Observing Systems XVI, San Diego, CA, United States, 8/23/11. https://doi.org/10.1117/12.894915
@inproceedings{97fb5370754c4d60a16bf0534bd178e0,
title = "Comparison of diffuse sky irradiance calculation methods and effect on surface reflectance retrieval from an automated radiometric calibration test site",
abstract = "The Remote Sensing Group (RSG) at the University of Arizona is currently refining an automated system for the absolute radiometric calibration of earth-observing sensors. The Radiometric Calibration Test Site (RadCaTS) relies on semi-permanent instrumentation at the Railroad Valley (RRV) test site to collect data from which surface reflectance and an atmospheric characterization is determined. Multispectral surface reflectance is determined from calibrated ground viewing radiometers and assimilated to determine the hyperspectral reflectance used in radiative transfer calculations. The reflectance retrieval algorithm relies on an accurate determination of the diffuse sky irradiance for the time of interest. Currently, diffuse sky irradiance is modeled using the atmospheric characterization as input into MODTRAN5. This work investigates the accuracy of the diffuse sky modeling by comparing modeled results to measurements made at the test site. Diffuse sky irradiance from several alternative methods are also presented. Surface reflectance is computed and compared to in-situ measurements taken with a portable spectoradiometer.",
keywords = "automated calibration test site, diffuse sky irradiance, ground viewing radiometer, Railroad Valley, surface reflectance, Vicarious calibration",
author = "Nathan Leisso and Czapla-Myers, {Jeffrey S}",
year = "2011",
doi = "10.1117/12.894915",
language = "English (US)",
isbn = "9780819487636",
volume = "8153",
booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",

}

TY - GEN

T1 - Comparison of diffuse sky irradiance calculation methods and effect on surface reflectance retrieval from an automated radiometric calibration test site

AU - Leisso, Nathan

AU - Czapla-Myers, Jeffrey S

PY - 2011

Y1 - 2011

N2 - The Remote Sensing Group (RSG) at the University of Arizona is currently refining an automated system for the absolute radiometric calibration of earth-observing sensors. The Radiometric Calibration Test Site (RadCaTS) relies on semi-permanent instrumentation at the Railroad Valley (RRV) test site to collect data from which surface reflectance and an atmospheric characterization is determined. Multispectral surface reflectance is determined from calibrated ground viewing radiometers and assimilated to determine the hyperspectral reflectance used in radiative transfer calculations. The reflectance retrieval algorithm relies on an accurate determination of the diffuse sky irradiance for the time of interest. Currently, diffuse sky irradiance is modeled using the atmospheric characterization as input into MODTRAN5. This work investigates the accuracy of the diffuse sky modeling by comparing modeled results to measurements made at the test site. Diffuse sky irradiance from several alternative methods are also presented. Surface reflectance is computed and compared to in-situ measurements taken with a portable spectoradiometer.

AB - The Remote Sensing Group (RSG) at the University of Arizona is currently refining an automated system for the absolute radiometric calibration of earth-observing sensors. The Radiometric Calibration Test Site (RadCaTS) relies on semi-permanent instrumentation at the Railroad Valley (RRV) test site to collect data from which surface reflectance and an atmospheric characterization is determined. Multispectral surface reflectance is determined from calibrated ground viewing radiometers and assimilated to determine the hyperspectral reflectance used in radiative transfer calculations. The reflectance retrieval algorithm relies on an accurate determination of the diffuse sky irradiance for the time of interest. Currently, diffuse sky irradiance is modeled using the atmospheric characterization as input into MODTRAN5. This work investigates the accuracy of the diffuse sky modeling by comparing modeled results to measurements made at the test site. Diffuse sky irradiance from several alternative methods are also presented. Surface reflectance is computed and compared to in-situ measurements taken with a portable spectoradiometer.

KW - automated calibration test site

KW - diffuse sky irradiance

KW - ground viewing radiometer

KW - Railroad Valley

KW - surface reflectance

KW - Vicarious calibration

UR - http://www.scopus.com/inward/record.url?scp=80054702338&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80054702338&partnerID=8YFLogxK

U2 - 10.1117/12.894915

DO - 10.1117/12.894915

M3 - Conference contribution

AN - SCOPUS:80054702338

SN - 9780819487636

VL - 8153

BT - Proceedings of SPIE - The International Society for Optical Engineering

ER -