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Proceedings Paper

Agricultural land cover classification using rapideye satellite imagery in South Korea - first result -
Author(s): Hyun Ok Kim; Jong Min Yeom; Youn Soo Kim
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Paper Abstract

Global climate changes as well as abnormal climate phenomena have affected the agricultural environment on a great scale. Thus, there is a strong need for countermeasures by making full use of agriculture related information. As agricultural lands in South Korea are mostly operated by private farmers on a small parcel level, it is difficult to gather information for an overview on changing crop condition and to construct database necessary for disease management, production estimation and compensation measures on a regional or governmental level. The objective of this study is to evaluate the multispectral reflectance characteristics of RapidEye image data to classify agricultural land cover as well as crop condition in South Korea. As the RapidEye sensor offers the spectral information in red edge range as a first multispectral satellite system, we focus on the usefulness of red edge reflectance for identifying crop species and for interpreting crop growth or stress condition.

Paper Details

Date Published: 8 October 2011
PDF: 6 pages
Proc. SPIE 8174, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII, 817424 (8 October 2011); doi: 10.1117/12.897810
Show Author Affiliations
Hyun Ok Kim, Korea Aerospace Research Institute (Korea, Republic of)
Jong Min Yeom, Korea Aerospace Research Institute (Korea, Republic of)
Youn Soo Kim, Korea Aerospace Research Institute (Korea, Republic of)


Published in SPIE Proceedings Vol. 8174:
Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII
Christopher M. U. Neale; Antonino Maltese, Editor(s)

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