Title: Designing Optimal Spectral Indices for Remote Sensing Applications
Authors: PINTY Bernard
Citation: IEEE Transactions on Geoscience and Remote Sensing
Publication Year: 1996
JRC N°: JRC12874
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC12874
Type: Articles in periodicals and books
Abstract: This paper describes a rational approach to the design of an optimal index to estimate vegetation properties on the basis of the red and near-infrared reflectances of the AVHRR instruments, taking into account the perturbing effects of soil brightness changes, atmospheric absorption and scattering. The rationale behind the Global Environment Monitoring Index (GEMI) is explained, and this index is proposed as an alternative to the Normalized Difference Vegetation Index (NDVI) for global applications. The techniques described here are generally applicable to any multispectral sensor and application.
JRC Directorate:Joint Research Centre Historical Collection

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