SUREHYP

SUREHYP preprocesses Hyperion radiance data to retrieve surface reflectance for Earth remote sensing, enabling consistent land cover mapping and vegetation attribute estimation.

Key Features:

• Surface Reflectance Retrieval: Retrieves surface reflectance from Hyperion at-sensor radiance across the full hyperspectral range.
• At-sensor Radiance Correction: Implements correction of at-sensor radiance data using published algorithms and methods.
• Batch Processing of Hyperion Imagery: Processes batches of Earth Observing-1 Hyperion images acquired from 2000 to 2017, covering over 83,138 publicly available scenes.
• Published Algorithms Integration: Integrates a suite of published algorithms and methods to correct sensor radiance and compute surface reflectance.
• Hyperspectral Compatibility: Handles hyperspectral Hyperion imagery spanning the instrument's entire spectral range.
• Accuracy Benchmarking: Produces flat-terrain surface reflectance values that are almost entirely within 10% across the spectral range compared to values from commercial software over a reference target.

Scientific Applications:

• Land cover mapping: Provides surface reflectance inputs for generating consistent land cover maps.
• Vegetation attribute estimation: Supplies reflectance products for estimating vegetation attributes and traits.
• Environmental monitoring: Enables hyperspectral-based analyses for environmental monitoring applications.
• Land cover analysis: Supports quantitative land cover analysis using calibrated surface reflectance.
• Vegetation studies: Facilitates vegetation research that requires spectrally accurate surface reflectance.

Methodology:

Implements published algorithms to correct at-sensor radiance and compute surface reflectance from batches of Hyperion imagery.