Radiometric rectification of multi-date, multi-sensor satellite images

F. G. Hall, D. E. Strebel, Scott J. Goetz, J. E. Nickeson

Research output: Contribution to conferencePaperpeer-review

1 Scopus citations


A new technique is described and evaluated for radiometrically rectifying each of several Landsat images of a scene to common sensor calibration, illumination, and atmospheric conditions. This radiometric rectification technique identifies radiometric control sets, i.e., sets of scene landscape elements with mean reflectance expected to change little with time. The average digital count values of the radiometric control sets in each image are used to calculate a linear transform relating digital count values between images. The technique is evaluated empirically with Landsat Thematic Mapper (TM) images of a scene for which surface reflectance and atmospheric optical depth data are available. It is concluded that radiometric rectification is a useful adjunct to atmospheric radiative transfer codes and sensor calibration approaches in processing and analyzing satellite remote sensing images, and it provides a clear alternative for retrospective remote sensing studies where no in situ atmospheric optical property data are available.

Original languageEnglish (US)
Number of pages4
StatePublished - 1990
Externally publishedYes
Event10th Annual International Geoscience and Remote Sensing Symposium - IGARSS '90 - College Park, MD, USA
Duration: May 20 1990May 24 1990


Conference10th Annual International Geoscience and Remote Sensing Symposium - IGARSS '90
CityCollege Park, MD, USA

ASJC Scopus subject areas

  • Computer Science Applications
  • General Earth and Planetary Sciences


Dive into the research topics of 'Radiometric rectification of multi-date, multi-sensor satellite images'. Together they form a unique fingerprint.

Cite this