Methods and analysis
Training Labels for Remote Sensing: Class Definitions and Ambiguous Pixels
A label represents a defined interpretation at a location and time.
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Methods and analysis
Thermal Comparisons for Urban Districts: Sentinel-3 SLSTR
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Methods and analysis
Temporal Model Validation: New Seasons Are a Different Test
Temporal validation evaluates a model on dates or seasons excluded from training.
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Methods and analysis
Spatial Cross-Validation: Testing Generalization Beyond Nearby Pixels
Spatial cross-validation separates training and evaluation according to geography or operational units.
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Methods and analysis
Unsupervised Clustering: Spectral Groups Are Not Land-Cover Classes
Clustering groups observations according to feature similarity.
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Methods and analysis
Support Vector Machines for Remote Sensing: Scaling and Kernel Choices
A support vector classifier separates labeled feature patterns using a chosen kernel and regularization.
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Methods and analysis
Random Forest for Satellite Land Cover: Baselines and Spatial Testing
A random forest combines decision trees fitted on training examples.
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Methods and analysis
Gas Plume Imaging Spectroscopy: Detection, Retrieval and Attribution
Imaging spectroscopy can detect absorption signatures associated with some atmospheric gases under suitable conditions.
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Methods and analysis
Imaging Spectroscopy for Vegetation Traits: Calibration and Transfer
Narrow-band reflectance can support models of vegetation traits such as pigments or water-related properties.
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Methods and analysis
Hyperspectral Anomaly Detection: Unusual Spectra Need Interpretation
Anomaly detection finds spectra that differ from a modeled background.
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Methods and analysis
Hyperspectral Dimensionality Reduction: Preserve the Target Signal
Dimensionality reduction compresses correlated spectral channels into fewer features.
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Methods and analysis
Endmember Selection: Representing Real Spectral Variability
An endmember is a reference spectrum used to describe a component in a spectral model.
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Methods and analysis
Linear Spectral Unmixing: Fractions Under a Model
Linear unmixing models a pixel spectrum as a weighted combination of endmember spectra.
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