作者: Margaret Kalacska , J. Pablo Arroyo-Mora , Raymond Soffer , George Leblanc
DOI: 10.1080/07038992.2016.1160771
关键词: Reflectivity 、 Atmospheric correction 、 Data quality 、 Hyperspectral imaging 、 Pixel 、 Radiance 、 Meteorology 、 Geography 、 Remote sensing 、 Spectral resolution
摘要: Abstract. A data quality assessment of airborne hyperspectral imagery (HSI) from Mission Airborne Carbon 2013 (MAC13) is presented. Because fundamentally important for modeling landscape biophysical characteristics HSI, this article presents an related to spectral alignment, spectroradiometric calibration, and geocorrection 2,700 km2 acquired with the CASI-1500 SASI-644 systems (375 nm – 2523 nm, 2.5 m resampled pixel size). MODIS, in-situ image-based estimations aerosol optical depth are compared calculations visibility atmospheric correction. Information content (dimensionality) across 5 ecosystems 2 developed areas also illustrate benefit extensive resolution data.New approaches offset corrections improved accuracy calibrated results (radiance reflectance). Assessment values applied correction adduced that apparent ...