Moderate-Resolution Imaging Spectroradiometer
PulseAugur coverage of Moderate-Resolution Imaging Spectroradiometer — every cluster mentioning Moderate-Resolution Imaging Spectroradiometer across labs, papers, and developer communities, ranked by signal.
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New self-supervised framework reconstructs corrupted NDVI time-series data
Researchers have developed GloSSR, a novel self-supervised framework designed to reconstruct Normalized Difference Vegetation Index (NDVI) time-series data, which is often corrupted by clouds and noise. This framework a…
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New ML framework accurately detects clouds using infrared data
Researchers have developed a new machine learning framework called the Cloud Identification Support Vector Machine (CISVM) for detecting clouds using infrared atmospheric sounding data. This supervised approach exclusiv…
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New CanadaFireSat dataset enables high-resolution wildfire forecasting
Researchers have developed a new benchmark dataset called CanadaFireSat to improve high-resolution wildfire forecasting. This dataset utilizes multi-modal data, including high-resolution satellite imagery from Sentinel-…
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Vision Transformers Enhance Coastal Algal Bloom Mapping
Researchers have developed a new method for mapping coastal algal blooms using vision transformers, a type of deep learning model. This approach leverages high-resolution imagery from Landsat-8/9 and Sentinel-2 satellit…
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Houston clouds align with interstate roads, showing urban heat effect
New satellite imagery from Houston, Texas, has revealed clouds forming in perfect alignment with the city's interstate roads. This phenomenon, observed by meteorologists, provides compelling visual evidence for the "urb…
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AI model quantifies CO2 using satellite weather data
Researchers have developed a physics-guided neural network capable of quantifying atmospheric carbon dioxide ($XCO_2$) using data from the Geostationary Operational Environmental Satellite (GOES-East). This model levera…
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New GDS-Mamba model enhances tree species classification with graph and sparse tokens
Researchers have developed a new model called GDS-Mamba to improve the classification of tree species using MODIS satellite time series data. This model addresses challenges like subtle species differences and the coupl…
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New satellite system uses AI for real-time wildfire detection under strict constraints
Researchers have developed a real-time wildfire detection system for use on satellites, designed to operate under strict on-board constraints. The system utilizes a lightweight dense representation learning approach, sp…
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Earth System Foundation Model integrates diverse data for climate forecasting
Researchers have developed the Earth System Foundation Model (ESFM), an open-source framework designed to integrate and forecast using diverse Earth system data. ESFM builds upon the Aurora model's architecture and inco…