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Spectral Unmixing Algorithms for Sub-Pixel Crop Type Classification

Agriculture

Remote Sensing & Agricultural Monitoring Applications

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Agriculture › Remote Sensing & Agricultural Monitoring Applications

Spectral Unmixing Algorithms for Sub-Pixel Crop Type Classification

This research develops linear and nonlinear spectral unmixing techniques to determine crop composition and heterogeneity within coarse-resolution satellite pixels. The contribution provides improved acreage statistics and landscape-scale crop distribution knowledge critical for agricultural policy and food security.

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