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Fire Neural Network - FNN
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FNN™ detects High-Risk-Lightning™ (HRL™) using its proprietary detector, and pairs this information with real-time environmental data using AI signal processing adapted from astrophysics to Find Fires Lightning Fast℠.
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Coalitions and Collaboratives, Inc.
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COCO uses the expertise gained from CUSP programs to mentor, empower, and engage local conservation organizations across the state and nationally. Local collaborative organizations have a vested interest in local place: no one has more to lose than the locals.
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Bomberos de Chile
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Nuestra Misión
Velar que el servicio bomberil sea eficaz por medio de una estandarización y sistematización de sus procesos.
Nuestra Visión
Ser reconocido por los Cuerpos de Bomberos como un organismo de servicio de alta calidad en la asignación de recursos, apoyo técnico y formación integral de Bomberos. Asimismo, aspira a ser un referente de la actividad de Bomberos de Chile ante el Estado y la comunidad nacional e internacional.
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LANL study finds wildfire-scorched areas prone to reburning
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Scientists studied landscapes in 11 states that were burned by multiple fires within a 20-year period.
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NOAA
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NOAA is a leader in science and technology used by the wildland fire community, and is dedicated to understanding and predicting weather and climate to protect life and property.
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Environmental Sciences Proceedings
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Environmental Sciences Proceedings is an open access journal dedicated to publishing findings resulting from conferences, workshops, and similar events, in all areas of environmental sciences.
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Frontiers
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Wildland fires represent a challenging interdisciplinary problem and these topics and approaches to solving them are not exclusive. By focusing on a wide variety of approaches to study and mitigate the harmful effects of wildland fires, we hope to present a review of the state-of-the-art in the field through this open-access collection.
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Atmosphere
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Atmosphere is an international, peer-reviewed, open access journal of scientific studies related to the atmosphere published monthly online.
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Journal of Applied Remote Sensing
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The Journal of Applied Remote Sensing (JARS) is an online journal that optimizes the communication of concepts, information, and progress within the remote sensing community to improve the societal benefit for monitoring and management of natural disasters, weather forecasting, agricultural and urban land-use planning, environmental quality monitoring, ecological restoration, and numerous other commercial and scientific applications.
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Remote Sensing
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Remote Sensing is a peer-reviewed, open access journal about the science and application of remote sensing technology.
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