Landsat 8
PulseAugur coverage of Landsat 8 — every cluster mentioning Landsat 8 across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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New research quantifies independent samples in satellite imagery
A new research paper proposes a method to calculate the effective number of independent samples within a satellite image, addressing the issue of spatial autocorrelation. The study suggests that for an $n \times n$ imag…
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New WISE model enables lightweight, onboard satellite smoke detection
Researchers have developed WISE, a lightweight, weakly-supervised model designed for onboard fire smoke detection and localization from satellite imagery. This model addresses the need for efficient processing under str…
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MethaneFuse model improves methane plume detection using multi-sensor satellite data
Researchers have developed MethaneFuse, a novel method for detecting methane plumes using satellite imagery, even when data from all sensors is not available. This approach leverages a new dataset called MethaneUnion, w…
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New method improves wildfire segmentation using Landsat-8 imagery
Researchers have developed a new method for segmenting active wildfires using Landsat-8 satellite imagery, addressing the challenge of sparse and imbalanced fire pixel data. The study evaluated three segmentation archit…
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Kolmogorov-Arnold Networks show promise in satellite land classification
Researchers have evaluated the effectiveness of Kolmogorov-Arnold Networks (KANs) for land classification using multispectral satellite imagery. In a study comparing KANs with random forest and multilayer perceptron mod…
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AI and remote sensing track Dhaka's rapid urbanization and environmental shifts
A new study published on arXiv details the use of remote sensing and machine learning to analyze land use and vegetation changes in Dhaka District, Bangladesh, between 2019 and 2024. The research employed satellite imag…
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New AI Models Advance 3D Shape Completion and Depth Estimation
Researchers have introduced several new models for 3D shape completion and depth estimation. The Large Depth Completion Model (LDCM) uses a transformer to generate dense depth maps from sparse observations, outperformin…
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New foundation model fuses hyperspectral imagery with other Earth observation data
Researchers have developed SpectralEarth-FM, a new foundation model designed to process and fuse hyperspectral imagery with other Earth observation data like multispectral, radar, and temperature readings. This model ut…