Andrew Harris

Restauranteur and Owner of Stussy’s Diner in Bridgeport, Erik “Rico” Nance, joins Lisa Dent to discuss the rebirth of the restaurant following its closing 45 years ago after he an…

Shannon Martin, an insurance agent and content writer for Bankrate, joins Lisa Dent to explain why a significant number of homeowners are left financially vulnerable and ill-prepared for the substa…

61-year-old Jim “The Shark” Dreyer joins Lisa Dent to talk about his 82-mile swim across Lake Michigan and whether he’s up to do the challenge next year, how he trains for this event and more. Foll…

The size of France with a population of 2.4 million, Botswana is one of the world's most sparsely populated countries.

As global greenhouse gas emissions continue to rise, so do the climate and energy transition risks.

October 9th, 2024 7:30 AM By Southern Star Team FIANNA Fáil Cork South West TD Christopher O’Sullivan has called for the government to spend a portion

Ernestina Carrillo, Roy, UT— Ernestina Carrillo passed away recently, leaving behind a family and community in deep sorrow. Known for her strength, - Ernestina Carrillo, Roy, UT Community Mourns Beloved Mother and Wife OmPaix

An 80s hotel gets a $150m renovation: We checked in to check out the Regent Santa Monica Beach's new look.

Twenty-one years of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) global thermal infrared (TIR) acquisitions provide a large amount of data for volcano monitoring. These data, with high spatial and spectral resolution, enable routine investigations of volcanoes in remote and inaccessible regions, including those with no ground-based monitoring. However, the dataset is too large to be manually analyzed on a global basis. Here, we systematically process the data over several volcanoes using a deep learning algorithm to automatically extract volcanic thermal anomalies. We explore the application of a convolutional neural network (CNN), specifically UNET, to detect subtle to intense anomalies exploiting the spatial relationships of the volcanic features. We employ a supervised UNET network trained with the largest (1500) labeled dataset of ASTER TIR images from five different volcanoes, namely, Etna (Italy), Popocatépetl (Mexico), Lascar (Chile), Fuego (Guatemala), and Kliuchevskoi (Russia). We show that our approach achieves high accuracy (93%) with excellent generalization capabilities. The effectiveness of our model for detecting the full range of thermal emission is shown for volcanoes with very different styles of activity and tested at Vulcano (Italy). The results demonstrate the potential applicability of the proposed approach to the development of automated thermal analysis systems at the global scale using future TIR data such as the planned NASA Surface Biology and Geology (SBG) mission.

Daniel Gonzalez E, Tacoma, WA— Daniel Gonzalez E passed away unexpectedly, surrounded by his children and grandchildren. He had been battling health - Daniel Gonzalez E, Tacoma, WA Community Mourns the Loss of a Beloved Father OmPaix