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

Author

Feng Gao ; Yanmin Shuai ; Tao He ; Schaaf, Crystal B. ; Masek, Jeffrey G. ; Zhuosen Wang

Author_Institution

Hydrol. & Remote Sensing Lab., Beltsville, MD, USA

fYear

2013

fDate

12-16 Aug. 2013

Firstpage

296

Lastpage

301

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.

Keywords

agriculture; computerised monitoring; crops; geophysical image processing; image resolution; table lookup; vegetation mapping; BRDF look-up table; LUT-based approach; angular corrected reflectance; angular effect correction; bi-directional reflectance distribution function; crop condition monitoring; cropland data layer; medium resolution sensors; narrow swath sensors; natural vegetations; remote sensing imagery; surface reflectance; wide swath sensors; Agriculture; Earth; MODIS; Reflectivity; Remote sensing; Satellites; Sensors; AWiFS; BRDF; Landsat; crop condition; directional reflectance; time-series analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Agro-Geoinformatics (Agro-Geoinformatics), 2013 Second International Conference on

Conference_Location

Fairfax, VA

Type

conf

DOI

10.1109/Argo-Geoinformatics.2013.6621925

Filename

6621925