USING DIRECTIONAL AND HYPERSPECTRAL REMOTE SENSING OBSERVATIONS FOR IMPROVING CROP CLASSIFICATION

Autores

  • Vânia Lúcia Costa Alves Soua Departamento de Geografia - Universidade de Brasília

DOI:

https://doi.org/10.26512/ciga.v4i1.16321

Resumo

Mapping accurately agricultural fields is one of the main challenges for monitoring areas using remote sensing. Crops change during the growing season and it is often desirable to use images acquired at several dates for plant identification. However, there is a high cost for these image acquisitions. Airborne or satellite campaigns usually cover specific regions for specific dates then offering limited data. Advances in sensor technologies created hyperspectral sensors to overcome this spectral limitation of multispectral sensors.

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Publicado

02-08-2016

Como Citar

Lúcia Costa Alves Soua, V. (2016). USING DIRECTIONAL AND HYPERSPECTRAL REMOTE SENSING OBSERVATIONS FOR IMPROVING CROP CLASSIFICATION. Revista Eletrônica: Tempo - Técnica - Território Eletronic Magazine: Time - Technique - Territory, 4(1). https://doi.org/10.26512/ciga.v4i1.16321

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