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Pellikka P

Finland
Publications

Using Hyperspectral Data to Identify Crops in a Cultivated Agricultural Landscape-A Case Study of Taita Hills, Kenya

Recent advances in hyperspectral remote sensing techniques and technologies allow us to more accurately identify larger range of crop species from airborne measurements. This study employs hyperspectral AISA Eagle VNIR imagery acquired with 9 nm spectral and 0.6 m spatial resolutions over a spectral range of 400 nm to 1000 nm. The area of study is ... Read More»

Boitt M, Ndegwa C and Pellikka P

Research Article: J Earth Sci Clim Change 2014,5:232

DOI: 10.4172/2157-7617.1000232

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