Geophysical MASINT is a branch of Measurement and Signature Intelligence (MASINT) that involves phenomena transmitted through the earth (ground, water, atmosphere) and manmade structures including emitted or reflected sounds, pressure waves, vibrations, and magnetic field or ionosphere disturbances. According to the United States Department of Defense, MASINT has technically derived intelligence (excluding traditional imagery IMINT and signals intelligence SIGINT) that – when collected, processed, and analyzed by dedicated MASINT systems – results in intelligence that detects, tracks, identifies or describes the signatures (distinctive characteristics) of fixed or dynamic target sources. MASINT was recognized as a formal intelligence discipline in 1986. Another way to describe MASINT is a "non-literal" discipline. It feeds on a target's unintended emissive by-products, the "trails" - the spectral, chemical or RF that an object leaves behind. These trails form distinct signatures, which can be exploited as reliable discriminators to characterize specific events or disclose hidden targets." As with many branches of MASINT, specific techniques may overlap with the six major conceptual disciplines of MASINT defined by the Center for MASINT Studies and Research, which divides MASINT into Electro-optical, Nuclear, Geophysical, Radar, Materials, and Radiofrequency disciplines. (Wikipedia).
Introduction to Geometer's Sketchpad: Measurements
This video demonstrates some of the measurement and calculation features of Geometer's Sketchpad.
From playlist Geometer's Sketchpad
GeoGebra 3D Calculator: When to Use?
GeoGebra 3D Calculator is one of the five apps in Calculator Suite. https://www.geogebra.org/calculator
From playlist GeoGebra Apps Intro: Which to USE?
A very quick demo of how to access the 2D and 3D calculator on Geogebra.
From playlist Geogebra
GeoGebra Scientific Calculator: When to Use?
GeoGebra Scientific Calculator is a free easy-to-use version of a standard handled scientific calculator. https://www.geogebra.org/scientific
From playlist GeoGebra Apps Intro: Which to USE?
Tutorial for the GeoGebra Graphing Calculator
From playlist GeoGebra Graphing Calculator
quick review of how to resize an image in Geogebra
From playlist Geogebra
Is geophysical fluid motion Newtonian? - Dubos - Workshop 1 - CEB T3 2019
Dubos (Ecole Polytechnique) / 10.10.2019 Is geophysical fluid motion Newtonian? Geophysical hydrodynamics rely on a variety of models which approximate classical, Newtonian fluid motion in rotating frames. Even accurate approximations, especially pertaining to the Coriolis pseudo-f
From playlist 2019 - T3 - The Mathematics of Climate and the Environment
Sentinel Geophysics: Imaging Saltwater Intrusion from Monterey to Santa Cruz with Rosemary Knight
Watch, learn and connect: https://stanfordconnects.stanford.edu/ Monterey and Santa Cruz counties rely more heavily on groundwater than other regions. Professor Rosemary Knight's shares her research of surveying the aquifer for saltwater intrusion by using sentinel geophysics to proactivel
From playlist STANFORD+CONNECTS
05-1 Inverse modeling: deterministic inversion
Overview of deterministic inversion
From playlist QUSS GS 260
Deploying a Reproducible Course
Lindsey Heagy (University of British Columbia), Rowan Cockett (3point Science) Web-based textbooks and interactive simulations built in Jupyter notebooks provide an entry point for course participants to reproduce content they are shown and dive into the code used to build them. Lindsey H
From playlist JupyterCon
RustConf 2016 - The /r/playrust Classifier... by Suchin Gururangan & Colin O'Brien
RustConf 2016 - The /r/playrust Classifier: Real World Rust Data Science by Suchin Gururangan & Colin O'Brien Modern machine learning systems require scalable, real-time processing to analyze massive datasets. Rust is an attractive tool to help drive low-cost, high performance data scienc
From playlist RustConf 2016
DIRECT 2021 10 Deep Learning Multi-scale Modeling
DIRECT Consortium at The University of Texas at Austin, working on novel methods and workflows in spatial, subsurface data analytics, geostatistics and machine learning. This is Deep Learning for Multi-scale Modeling by Wen Pan with Prof. Carlos Torres-Verdin. Join the consortium for ac
From playlist DIRECT Consortium, The University of Texas at Austin
GeoGebra Calculator Suite: https://www.geogebra.org/calculator
From playlist GeoGebra Tools
Soliton and Some of its Geophysical/Oceanographic Applications by M. Lakshmanan
DATES Monday 23 May, 2016 - Saturday 23 Jul, 2016 VENUE Madhava Lecture Hall, ICTS, Bangalore APPLY This program is first-of-its-kind in India with a specific focus to provide research experience and training to highly motivated students and young researchers in the interdisciplinary field
From playlist Summer Research Program on Dynamics of Complex Systems
GeoGebra Calculator Suite: https://www.geogebra.org/calculator
From playlist GeoGebra Tools
How 'big data' has transformed and is transforming geophysics: Professor Kathy Whaler
Kathy Whaler (University of Edinburgh, UK) Kathy Whaler has been the Professor of Geophysics at the University of Edinburgh since 1994. Her research focuses on the magnetic field of the Earth and other planets, from measurements made at the surface and by low orbiting satellites. She has
From playlist Women in data science conference
Geophysical environment of the Indian subcontinent: the hazard By Kusala Rajendran
DATES Monday 23 May, 2016 - Saturday 23 Jul, 2016 VENUE Madhava Lecture Hall, ICTS, Bangalore APPLY This program is first-of-its-kind in India with a specific focus to provide research experience and training to highly motivated students and young researchers in the interdisciplinary field
From playlist Summer Research Program on Dynamics of Complex Systems
Introducing the Concept of Congruence
From playlist GeoGebra Geometry
Quantifying Uncertainty in Subsurface Systems
Presentation based on the book published by Wiley Scheidt, C., Li, L & Caers, J, 2018. "Quantifying Uncertainty in Subsurface Systems.
From playlist Uncertainty Quantification