Lecture1_EE568.pptx
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This document provides an overview of a course on remote sensing of the environment. It covers the following key points in 3 sentences: The course will introduce students to remote sensing concepts and applications. It will discuss how remote sensing uses sensors on satellites and aircraft to detect reflected or emitted energy from physical objects to extract environmental information for applications in fields like hydrology and agriculture. The document also outlines the course syllabus and expectations, provides background on remote sensing and its implications for society, and gives examples of current earth observing satellite missions including those operated by Pakistan's space agency SUPARCO.
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Remote sensing is a method of obtaining information about an object without physical contact. It involves capturing electromagnetic radiation reflected or emitted from the Earth's surface using sensors on satellites or aircraft. Satellites provide global coverage and allow monitoring of large areas over time. Data from remote sensing is used for applications like monitoring weather, climate change, agriculture, forestry, geology and more. It provides valuable data efficiently but requires expert analysis and may lack detail.
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1 remote sensing
The document provides details about a course on fundamentals of remote sensing, including:
- The course code, module name and code, university, and department offering the course.
- An outline of the course content and schedule, divided into 3 weeks covering topics like introduction to remote sensing, electromagnetic energy and remote sensing, satellites and image characteristics, and GPS.
- Recommended assessments including tests, lab exercises, and a group project to evaluate students' understanding of the material.
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Recommended
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Remote sensing is a method of obtaining information about an object without physical contact. It involves capturing electromagnetic radiation reflected or emitted from the Earth's surface using sensors on satellites or aircraft. Satellites provide global coverage and allow monitoring of large areas over time. Data from remote sensing is used for applications like monitoring weather, climate change, agriculture, forestry, geology and more. It provides valuable data efficiently but requires expert analysis and may lack detail.
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The document provides details about a course on fundamentals of remote sensing, including:
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- An outline of the course content and schedule, divided into 3 weeks covering topics like introduction to remote sensing, electromagnetic energy and remote sensing, satellites and image characteristics, and GPS.
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In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
A Comprehensive Guide to DeFi Development Services in 2024
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Generating privacy-protected synthetic data using Secludy and Milvus
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
AWS Cloud Cost Optimization Presentation.pptx
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
Presentation of the OECD Artificial Intelligence Review of Germany
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Lecture1_EE568.pptx
- 1. Remote sensing of the environment EE568 / PHY523 / CS6317 Dr. Jawairia Ahmad Centre for Water Informatics and Technology (WIT), LUMS Lecture- 1: Remote sensing in the 21st century Course content inspired by Dr. Bart Forman’s ENCE 689G lecture notes
- 2. Remote sensing of the environment- Spring 2022 Topics covered 1 Assignment Supplementary video Syllabus Introduction to remote sensing Motivating questions Implications for society Earth observing satellite constellations Questionnaire
- 3. Remote sensing of the environment- Spring 2022 Syllabus 2 Course outline Course website: https://wit.lums.edu.pk/EE568 Classroom Dos and Don'ts - No cheating or plagiarism - Be respectful towards the instructor and your fellow students - No eating - Please keep your cellphone on silent - Please submit your assignment on time; late submissions will not be accepted - For any queries, please avail the office hours
- 4. Remote sensing of the environment- Spring 2022 Introduction to remote sensing 3 Remote sensing: Remote sensing is the process of detecting and monitoring the physical characteristics of an area by measuring its reflected and emitted radiation at a distance (typically from satellite or aircraft). Special cameras collect remotely sensed images, which help researchers "sense" things about the Earth. (USGS) Remote sensing is the acquiring of information from a distance..... using sensors aboard satellites and aircraft that detect and record reflected or emitted energy. (NASA) Image credit: NASA Earthdata
- 5. Remote sensing of the environment- Spring 2022 Motivating questions 4 Why remote sensing? Access to inaccessible regions Real-time or near real-time global information Global analysis Proxy for missing ground information Historical perspective Driven by military application during WWI- airplane photography WWII- research and development Space race- USA vs. Soviet union First land surface satellite- LANDSAT-1 launched in July 1972
- 6. Remote sensing of the environment- Spring 2022 Implications for society 5 Clouds Fires Land use/ change Photo credit: NASA Topography Ocean floor Agriculture
- 7. Remote sensing of the environment- Spring 2022 Earth observing satellites 6 Photo credit: NASA
- 8. Remote sensing of the environment- Spring 2022 Earth observing satellites- Pakistan 7 Pakistan Space and Upper Atmosphere Research Organization (SUPARCO) established 1961 Testing indigenous capabilities- Badr-1 and Badr-B Commercial use (broadcasting, broadband, Mobile Back-hauling, etc.) PakSAT-1R PakSAT-MM1 PakSAT-MM1R Commercial/ Federal use PRSS-1 PakTES-1A Future PRSC-EOS
- 9. Remote sensing of the environment- Spring 2022 Key concepts of remote sensing 8 Physical objects Sensor data Information extraction from remotely sensed data Applications (e.g., hydrology, atmospheric analysis, vegetation, topography Flowchart adapted from Campbell and Wynne (2011)
- 10. Remote sensing of the environment- Spring 2022 Questionnaire 9 Please fill out the questionnaire
- 11. Remote sensing of the environment- Spring 2022 Point to ponder on …. 10 What happens to satellites after they stop working?