Monitoring forests with Hyperion and ALI. Abstract: Hyperion, a hyperspectral sensor, and the Advanced Land Imager (ALI) are carried on NASA's EO-1 satellite.
Hyperspectral remote sensing provides significant advantages and greater accuracies over ETM+ for forest discrimination. The EO-1 sensors, Hyperion and ALI, ...
The goal of this work was to evaluate the ability of Hyperion and ALI to classify forests and compare the results with classifications of Landsat-7 data for the ...
Abstract: Hyperion, a hyperspectral sensor, and the Advanced Land Imager (ALI) are carried on NASA's EO-1 satellite. The Evaluation and Validation of EO-1 ...
We demonstrated that Hyperion data can be effectively used to obtain rapid and accurate large-scale mapping of main forest types (conifers-broadleaved). We also ...
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The three primary instruments on the EO-1 spacecraft are the Advanced Land Imager (ALI), the Hyperion, and the Linear Etalon Imaging Spectrometer Array ...
In this study, a comparative analysis of capabilities of three sensors for mapping forest crown closure (CC) and leaf area index (LAI) was conducted.
The EO-1 sensors, Hyperion and ALI, provide data with excellent discrimination for Pacific Northwest forests in comparison to Landsat-7 ETM+.
The experimental results indicate that the Hyperion data are the most effective for mapping forest CC and LAI (CC mapped accuracy (MA) = 76.0%, LAI MA = 74.7%), ...
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A total of 38 forest CC and LAI measurements were used in this correlation analysis. The analysis procedure consists of (1) atmospheric correction to retrieve ...