Fontana, FMA, Trishchenko, AP, Khlopenkov, KV, Luo, Y, Wunderle, S (2009). Impact of orthorectification and spatial sampling on maximum NDVI composite data in mountain regions. REMOTE SENSING OF ENVIRONMENT, 113(12), 2701-2712.
Topography and accuracy of image geometric registration significantly affect the quality of satellite data, since pixels are displaced depending on surface elevation and viewing geometry. This effect should be corrected for through the process of accurate image navigation and orthorectification in order to meet the geolocation accuracy for systematic observations specified by the Global Climate Observing System (GCOS) requirements for satellite climate data records. We investigated the impact of orthorectification on the accuracy of maximum Normalized Difference Vegetation Index (NDVI) composite data for a mountain region in north-westem Canada at various spatial resolutions (1 km, 4 km, 5 km, and 8 km). Data from AVHRR on board NOAA-11 (1989 and 1990) and NOAA-16 (2001, 2002, and 2003) processed using a system called CAPS (Canadian AVHRR Processing System) for the month of August were considered. Results demonstrate the significant impact of orthorectification on the quality of composite NDVI data in mountainous terrain. Differences between orthorectified and non-orthorectified NDVI composites (ANDVI) adopted both large positive and negative values, with the 1% and 99% percentiles of ANDVI at 1 km resolution spanning values between -0.16