Skip to main navigation Skip to search Skip to main content

Comparative analysis of UVB exposure between Nimbus 7/TOMS satellite estimates and ground-based measurements

  • Zhiqiang Gao*
  • , Wei Gao
  • *Corresponding author for this work
  • CAS - Institute of Geographical Sciences and Natural Resources Research
  • East China Normal University
  • Colorado State University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This study describes the patterns of variation in ultraviolet (UV) exposure across time and space using two continental scale data sets on UV radiation and conducts a comparative analysis of two sources of noontime UV-B exposure data across the continental US. One dataset was collected from 37 ground-based stations equipped with broadband UV-B-1 Pyranometers across North America whereas the other dataset was of synchronous satellite data collected from the Nimbus-7/TOMS sensor. Comparisons of these datasets confirmed agreement between the ground-based measurements and the TOMS satellite estimates with correlation coefficients of 0.87 and 0.95 for daily and monthly UV Index time series (i.e., a common metric of UV radiation exposure), respectively.

Original languageEnglish
Title of host publicationRemote Sensing and Modeling of Ecosystems for Sustainability VII
DOIs
StatePublished - 2010
EventRemote Sensing and Modeling of Ecosystems for Sustainability VII - San Diego, CA, United States
Duration: 2 Aug 2010 → 4 Aug 2010

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7809
ISSN (Print)0277-786X

Conference

ConferenceRemote Sensing and Modeling of Ecosystems for Sustainability VII
Country/TerritoryUnited States
CitySan Diego, CA
Period2/08/10 → 4/08/10

Keywords

  • Remote sensing
  • TOMS
  • U.S.
  • UV-B
  • UV-I

Fingerprint

Dive into the research topics of 'Comparative analysis of UVB exposure between Nimbus 7/TOMS satellite estimates and ground-based measurements'. Together they form a unique fingerprint.

Cite this