Title
Angular Effects and Correction for Medium Resolution Sensors to Support Crop Monitoring
Abstract
Remote sensing imagery at medium spatial resolutions (20-60 m) such as Landsat, the advanced wide field sensor (AWiFS) and the disaster monitoring constellation (DMC) have been broadly used in mapping crop types and monitoring crop conditions. This paper examines the influence of viewing and illumination 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. Three types of angular effects: 1) view angle effect; 2) day of year effect; and 3) mean local time drift effect were analyzed based on both field and satellite bi-directional reflectance distribution function (BRDF) measurements. In order to correct these angular effects, a BRDF look-up map (LUM) for major cover types was built using the cropland data layer (CDL) and the Moderate-Resolution Imaging Spectroradiometer (MODIS) BRDF products. The BRDF LUM was applied to an AWiFS image to correct view angle effects in an agricultural area in central Illinois. The resulting nadir BRDF-adjusted reflectance (NBAR) provides a consistent data source for intra-annual crop condition monitoring and inter-annual time-series analysis.
Year
DOI
Venue
2014
10.1109/JSTARS.2014.2343592
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of  
Keywords
Field
DocType
crops,disasters,geophysical image processing,image resolution,time series,vegetation mapping,awifs image,brdf lum,brdf look-up map,landsat,moderate-resolution imaging spectroradiometer brdf products,advanced wide field sensor,agricultural area,central illinois,consistent data source,cover types,crop condition monitoring,crop types,cropland data layer,day of year effect,disaster monitoring constellation,field bidirectional reflectance distribution function measurements,illumination angular effect,interannual time-series analysis,intraannual crop condition monitoring,mean local time drift effect,medium resolution sensors,medium spatial resolutions,nadir brdf-adjusted reflectance,narrow swath sensor,remote sensing imagery,satellite bidirectional reflectance distribution function measurements,surface reflectance,view angle effect,viewing effect,wide swath sensor,advanced wide field sensor (awifs),bi-directional reflectance distribution function (brdf),crop condition,directional reflectance,time-series analysis,satellites,earth,remote sensing,sensors,spatial resolution,agriculture
Nadir,Data source,Bidirectional reflectance distribution function,Meteorology,Satellite,Remote sensing,Condition monitoring,Spectroradiometer,Reflectivity,Image resolution,Mathematics
Journal
Volume
Issue
ISSN
7
11
1939-1404
Citations 
PageRank 
References 
11
0.66
7
Authors
6
Name
Order
Citations
PageRank
Feng Gao140151.85
Tao He2538.30
Jeffrey G. Masek328741.41
Yanmin Shuai4386.51
Crystal B. Schaaf510215.25
Zhuosen Wang6426.78