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Influence of angular effects and adjustment on medium resolution sensors for crop monitoring

  • United States Department of Agriculture
  • NASA Goddard Space Flight Center
  • University of Maryland, College Park
  • University of Massachusetts Boston

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

Abstract

Remote sensing imagery at medium spatial resolution (30-60m) like Landsat and AWiFS have been widely used in mapping crop types and monitoring crop conditions. Angular effects from wide swath remote sensing data have been observed. This paper examines the influence of angular effects on surface reflectance of typical surface and crop types for both narrow swath (e.g. Landsat) and wide swath (e.g. AWiFS) sensors. A bi-directional reflectance distribution function (BRDF) look-up table (LUT) for surface types from cropland data layer (CDL) was established. A LUT-based approach is proposed to correct angular effects for crops and natural vegetations. The angular corrected reflectance will provide a consistent data source for crop condition monitoring and longterm time-series analysis.

Original languageEnglish
Title of host publication2013 2nd International Conference on Agro-Geoinformatics
Subtitle of host publicationInformation for Sustainable Agriculture, Agro-Geoinformatics 2013
Pages296-301
Number of pages6
DOIs
StatePublished - 2013
Event2013 2nd International Conference on Agro-Geoinformatics: Information for Sustainable Agriculture, Agro-Geoinformatics 2013 - Fairfax, VA, United States
Duration: Aug 12 2013 → Aug 16 2013

Publication series

Name2013 2nd International Conference on Agro-Geoinformatics: Information for Sustainable Agriculture, Agro-Geoinformatics 2013

Conference

Conference2013 2nd International Conference on Agro-Geoinformatics: Information for Sustainable Agriculture, Agro-Geoinformatics 2013
Country/TerritoryUnited States
CityFairfax, VA
Period8/12/13 → 8/16/13

ASJC Scopus Subject Areas

  • Agronomy and Crop Science

Keywords

  • AWiFS
  • BRDF
  • Crop condition
  • Directional reflectance
  • Landsat
  • Time-series analysis

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