Agricultural land cover classification using rapideye satellite imagery in South Korea - first result -

Hyun Ok Kim; Jong Min Yeom; Youn Soo Kim

doi:10.1117/12.897810

7 October 2011 Agricultural land cover classification using rapideye satellite imagery in South Korea - first result -

Hyun Ok Kim, Jong Min Yeom, Youn Soo Kim

Proceedings Volume 8174, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII; 817424 (2011) https://doi.org/10.1117/12.897810
Event: SPIE Remote Sensing, 2011, Prague, Czech Republic

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.

Citation Download Citation

Hyun Ok Kim, Jong Min Yeom, and Youn Soo Kim "Agricultural land cover classification using rapideye satellite imagery in South Korea - first result -", Proc. SPIE 8174, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII, 817424 (7 October 2011); https://doi.org/10.1117/12.897810

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