Spectroscopy as an Alternative for Soil Monitoring
Soil spectroscopy is the process of estimating soil properties from near- and/or mid-infrared spectra captured from soil samples, either in the field or in a lab.
Soil spectroscopy is the process of estimating soil properties from near- and/or mid-infrared spectra captured from soil samples, either in the field or in a lab.
The Graduate School of Geography at Clark University seeks to fill a 2-year visiting Assistant Professor position in Geographic Information Science (GIS) to begin August 2024.
This presentation introduced the foundation models (FM) being built and trained by NASA IMPACT and IBM for multi-disciplinary scientific applications, showcasing how the FMs are pre-trained neural networks that capture diverse visual features from large datasets, enabling versatile applications in computer vision tasks without extensive retraining, and their development benefits from interdisciplinary collaboration and open science principles. Speakers: Sujit Roy, Johannes Schmude
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This presentation aims to explore the critical role of spectral science in bolstering support for armed services.
The Social Pixel lab at the University of Arizona is seeking a post-doctoral researcher to map floods using machine learning and satellite imagery to understand inequity in urban flood adaptation and build capacity for environmental justice organizations.
How do Earth’s changing surface and overlying vegetation inform us about natural disasters, carbon fluxes, ecosystem habitats, sea level rise impacts, and water availability? NASA’s Surface Topography and Vegetation (STV) Study aims to address this and other discipline specific questions.
This presentation will demonstrate the VEDA system’s practical use, focusing on visualizing and analyzing NASA’s earth science data, navigating its STAC, and leveraging its open-source features for analysis and visualization. Speakers: Brian Freitag, Slesa Adhikari
This webinar will look at the activities of a UN Focus Group to systematically develop best practices and standards in the use of AI for this application.
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