Tutorial how to download image from google earth
•Download as PPTX, PDF•
0 likes•11,037 views
This 3-step tutorial explains how to download an image from Google Earth with georeferencing information. The steps are to choose a location in Google Earth, import and save the rectified image as a JPG file, and then right click to save the corresponding world file to georeference the image location.
Report
Share
Report
Share
Recommended
Google earth preso
Google Earth is a program that allows users to explore the world through satellite imagery, maps, terrain, 3D buildings, and more. It provides tools for cultural explorations, geography learning, architectural studies, spatial awareness, historical tours using rich media, and foreign language education. The document discusses how to use Google Earth to understand .kmz files, conduct advanced searches, create tours with placemarks, images, text and narration. It provides resources for educators and students to explore, create projects, and teaches how to open .kmz files correctly if having issues.
Add a google earth satellite image into arc map
The document provides steps to add a Google Earth satellite image into ArcMap:
1) Open Google Earth and set the eye altitude for the study area. Place markers on the corners and save the image.
2) Open ArcMap, add the georeferencing tool, and import the Google image.
3) Georeference the image by clicking points on the image and looking up their coordinates in Google Earth to input into ArcMap.
4) Rectify and save the georeferenced image for use in ArcMap analysis.
Sistem Informasi Geografis 3
Langkah-langkah georegistrasi data raster meliputi penyimpanan data raster dan titik ikat, penambahan data raster dan titik ikat ke dalam view ArcGIS, menggabungkan data raster dan titik ikat dengan menghubungkan pin ke titik sesuai, lalu menyimpan hasil georegistrasi dalam format TIFF.
Satellite image processing
Satellite Image Processing technique to enhance raw images received from cameras or sensors placed on satellites, space probes and aircrafts or pictures taken in normal day to day life in various applications.
spatial anaylisi using ilwis
The document describes steps to identify landslide prone areas in Sumedang, Indonesia using GIS. This includes:
1. Importing data like contours, rivers, roads, soil and geology maps.
2. Processing the data by creating a coordinate system, converting vector data to raster, deriving slope from contours, and creating buffers around rivers.
3. Using spatial multi-criteria evaluation to analyze factors like slope, distance to rivers, soil and produce an output map indicating landslide susceptibility, with values from 0-1.
4. Creating a layout map of the results with a legend and exporting it.
Image classification-in-idrisi-and-ilwis
This document provides instructions for performing unsupervised and supervised image classification in IDRISI ANDES and ILWIS.
For unsupervised classification in IDRISI ANDES, the user runs the cluster algorithm and sets parameters like number of bands and clusters. For supervised classification, the user digitizes training sites, extracts signatures, and runs the minimum distance classifier.
In ILWIS, density slicing can be used to classify raster maps into user-defined density classes. Unsupervised classification involves running the cluster algorithm. Supervised classification uses maximum likelihood classification after creating sample sets by digitizing training sites.
ILWIS Manual, ILWIS Practical, ILWIS Guide, Onidex Geo-Spatial Solutions (ilw...
ILWIS Manual, ILWIS Practical, ILWIS Guide, Onidex Geo-Spatial Solutions (ilw...Oluwasegun Oluwaseun Onibudo
Supervised and Unsupervised classification on ILWIS. Accuracy Assessment, Error Matrix, Clustering, Band Combination, LayerStacking, Image Composite, Import Image to ILWIS, The Mathematics of GIS
This document provides an overview of the mathematics used in geographic information systems (GIS). It covers topics such as propositional logic, predicate logic, set theory, relations and functions, coordinate systems and transformations, algebraic structures, topology, ordered sets, graph theory, and fuzzy logic. Each chapter defines key concepts in the topic and provides examples of their applications in GIS. The goal is to explain the mathematical foundations of GIS for students and practitioners.
Recommended
Google earth preso
Google Earth is a program that allows users to explore the world through satellite imagery, maps, terrain, 3D buildings, and more. It provides tools for cultural explorations, geography learning, architectural studies, spatial awareness, historical tours using rich media, and foreign language education. The document discusses how to use Google Earth to understand .kmz files, conduct advanced searches, create tours with placemarks, images, text and narration. It provides resources for educators and students to explore, create projects, and teaches how to open .kmz files correctly if having issues.
Add a google earth satellite image into arc map
The document provides steps to add a Google Earth satellite image into ArcMap:
1) Open Google Earth and set the eye altitude for the study area. Place markers on the corners and save the image.
2) Open ArcMap, add the georeferencing tool, and import the Google image.
3) Georeference the image by clicking points on the image and looking up their coordinates in Google Earth to input into ArcMap.
4) Rectify and save the georeferenced image for use in ArcMap analysis.
Sistem Informasi Geografis 3
Langkah-langkah georegistrasi data raster meliputi penyimpanan data raster dan titik ikat, penambahan data raster dan titik ikat ke dalam view ArcGIS, menggabungkan data raster dan titik ikat dengan menghubungkan pin ke titik sesuai, lalu menyimpan hasil georegistrasi dalam format TIFF.
Satellite image processing
Satellite Image Processing technique to enhance raw images received from cameras or sensors placed on satellites, space probes and aircrafts or pictures taken in normal day to day life in various applications.
spatial anaylisi using ilwis
The document describes steps to identify landslide prone areas in Sumedang, Indonesia using GIS. This includes:
1. Importing data like contours, rivers, roads, soil and geology maps.
2. Processing the data by creating a coordinate system, converting vector data to raster, deriving slope from contours, and creating buffers around rivers.
3. Using spatial multi-criteria evaluation to analyze factors like slope, distance to rivers, soil and produce an output map indicating landslide susceptibility, with values from 0-1.
4. Creating a layout map of the results with a legend and exporting it.
Image classification-in-idrisi-and-ilwis
This document provides instructions for performing unsupervised and supervised image classification in IDRISI ANDES and ILWIS.
For unsupervised classification in IDRISI ANDES, the user runs the cluster algorithm and sets parameters like number of bands and clusters. For supervised classification, the user digitizes training sites, extracts signatures, and runs the minimum distance classifier.
In ILWIS, density slicing can be used to classify raster maps into user-defined density classes. Unsupervised classification involves running the cluster algorithm. Supervised classification uses maximum likelihood classification after creating sample sets by digitizing training sites.
ILWIS Manual, ILWIS Practical, ILWIS Guide, Onidex Geo-Spatial Solutions (ilw...
ILWIS Manual, ILWIS Practical, ILWIS Guide, Onidex Geo-Spatial Solutions (ilw...Oluwasegun Oluwaseun Onibudo
Supervised and Unsupervised classification on ILWIS. Accuracy Assessment, Error Matrix, Clustering, Band Combination, LayerStacking, Image Composite, Import Image to ILWIS, The Mathematics of GIS
This document provides an overview of the mathematics used in geographic information systems (GIS). It covers topics such as propositional logic, predicate logic, set theory, relations and functions, coordinate systems and transformations, algebraic structures, topology, ordered sets, graph theory, and fuzzy logic. Each chapter defines key concepts in the topic and provides examples of their applications in GIS. The goal is to explain the mathematical foundations of GIS for students and practitioners.
Manual Erdas imagine 2011
Este documento presenta un curso de introducción a la teledetección con ERDAS Imagine. El objetivo del curso es proporcionar conocimientos básicos sobre técnicas de teledetección a través de las herramientas de ERDAS Imagine. El curso cubre temas como la importación de datos, correcciones geométricas y radiométricas, mosaicado, realces, índices, clasificación digital y visualización 3D. El curso está dirigido a personal del CSIC que requiera el uso de estas herramientas. Al finalizar el cur
Introduction to ArcGIS 10.1
This document provides instructions for using ArcGIS software to explore and analyze geospatial data, with chapters covering basic ArcMap navigation, acquiring and importing GPS and tabular data, symbolizing and labeling map layers, conducting analysis using geoprocessing tools, and map layout and production. Users are guided through exercises adding data, exploring attribute tables, performing selection and joins, editing data, and more to become familiar with ArcGIS capabilities and workflows.
ERDAS IMAGINE
ERDAS IMAGINE is a remote sensing image processing software that allows users to import imagery from satellite and aerial platforms and extract useful geospatial information. It has three product tiers - Essentials, Advantage, and Professional - that scale in functionality. The software also includes additional specialized modules like Virtual GIS and Radar Mapping Suite. ERDAS IMAGINE enables tasks like land cover classification, camera placement, integration with Google Earth and Bing Maps, measurement of vertical features, map report generation, and flood modeling.
satellite image processing
This document discusses digital image processing of satellite images. It describes how satellite images are represented digitally as pixels with brightness values. It outlines three main categories of image processing: image rectification and restoration to correct distortions; enhancement to improve visual interpretation; and information extraction to automate feature identification. Specific techniques discussed include image rectification, contrast enhancement, spatial filtering, edge enhancement, and band ratioing. The overall aim is to analyze satellite images both visually and quantitatively.
Geographical Information Systems and Science
I apologize, but I do not actually have any information about Joe Lobley or his current whereabouts. The "addendum" text appears to be fictional and was likely included by the authors as a humorous device.
georeference
The document discusses various methods of georeferencing, which is assigning accurate locations to spatial information. The most comprehensive method is using latitude and longitude, which defines locations based on angles from the equator and Greenwich Meridian. However, the Earth's curved surface poses issues for technologies that work with flat maps and data. Therefore, map projections are used to translate locations on the spherical Earth onto flat planes or surfaces, though all projections introduce some distortion. Common projections include cylindrical, conic, and the Universal Transverse Mercator system.
ERDAS IMAGINE
The document is a presentation on ERDAS IMAGINE software. It discusses layer stacking images, using model maker to add bands, georeferencing images, reprojecting images, and various spatial and radiometric enhancement techniques like filters, histogram equalization, brightness inversion, and haze reduction. Example images are shown to demonstrate the before and after effects of these techniques.
Gis arc map& georeferencing-arcgis
A geographic information system (GIS) is a collection of hardware,
software, geographicdata, and personnel designed to create, store, edit,
manipulate, analyze and display geographically referenced information.
Structural Mapping using GIS/RS
My M.Sc thesis presentation, awaiting to be published in Anuual Technical International Conference, 2011. Wish me Luck!!!
GIS
This document provides an overview of geographic information systems (GIS). It discusses the history of GIS, defines what GIS is, describes what types of geographical data are used in GIS, and outlines the key GIS processes of capture, manage, analyze and present. It also provides some examples of GIS applications such as crime mapping, hydrology and health services. The overall document provides a high-level introduction to what GIS is and how it works.
Introduction to ArcGIS
An introductory tutorial for Esri's ArcGIS version 10.1. This tutorial covers some basic concepts and tasks.
Lec_6_Intro to geo-referencing
This document discusses geo-referencing raster data. It defines geo-referencing as aligning raster data to real-world coordinates so it can be viewed and analyzed with other geographic data. There are two main types of geo-referencing: absolute, which aligns raster to maps or coordinates, and relative, which aligns raster to other geo-referenced raster. The document outlines the geo-referencing process, including selecting ground control points, performing transformations, and interpreting error metrics to evaluate accuracy.
Map to Image Georeferencing using ERDAS software
The document provides steps to georeference a satellite image using ERDAS software. It involves opening the image and a georeferenced toposheet in separate viewers, selecting ground control points that match features in both, and using a polynomial geometric model to resample the image. At least 4 GCPs should be selected to georeference the image, which can then be verified using swipe and transparency tools to check the alignment of features.
Arc gis introduction-ppt
This document provides an overview of ArcGIS and its components. It discusses how data are stored in ArcGIS using different data models over time, including coverages, shapefiles, and geodatabases. It describes the main ArcGIS applications - ArcMap for viewing and editing data, ArcCatalog for data management, and ArcToolbox for geoprocessing tools. It also outlines some key ArcGIS extensions for spatial, geostatistical, and 3D analysis.
Steps for Principal Component Analysis (pca) using ERDAS software
Principal component analysis is a technique that uses orthogonal transformation to convert correlated variables into a set of uncorrelated variables called principal components. The document provides steps to perform principal component analysis in ERDAS, including opening an input file, specifying the number of desired components and output file, and viewing the output layers. The first few layers highlight different features like urban areas, water regions, and vegetation.
Ppt on remote sensing system
This document discusses remote sensing systems. It begins with an introduction to remote sensing as gathering information from objects without direct contact. It then covers the history of remote sensing from early aerial photography to modern satellite systems. The document outlines different types of remote sensing including passive methods like photography and radiometers and active methods like RADAR and LiDAR. It provides examples of remote sensing applications and techniques. Finally, it describes different optical, RADAR, and LiDAR remote sensing systems and how they work.
Remote Sensing PPT
This document provides an overview of remote sensing through a seminar presented by Ashwathy Babu Paul. It defines remote sensing as obtaining information about an object without physical contact through electromagnetic radiation. It describes the basic components and process of remote sensing systems including energy sources, sensor recording, transmission and processing. Various sensors and platforms are discussed along with advantages and applications in fields like agriculture, natural resource management, national security, geology, meteorology, and more. Challenges are addressed but advantages of remote sensing are said to far outweigh these.
TSS_Total_Suspended_Soil_Analysis_Using_GEE_Google.pdf
This document summarizes a study that analyzed total suspended solids (TSS) in Sibolga Waters, Indonesia using Sentinel-2 satellite imagery on Google Earth Engine cloud technology. TSS results showed levels between 0-120 mg/liter, with some areas exceeding Indonesian environmental standards. The highest TSS levels were influenced by tidal patterns, weather, rainfall, and human activities like fishing and waste disposal. Sentinel-2 imagery was found to be effective for mapping TSS distribution in the waters.
More Related Content
Viewers also liked
Manual Erdas imagine 2011
Este documento presenta un curso de introducción a la teledetección con ERDAS Imagine. El objetivo del curso es proporcionar conocimientos básicos sobre técnicas de teledetección a través de las herramientas de ERDAS Imagine. El curso cubre temas como la importación de datos, correcciones geométricas y radiométricas, mosaicado, realces, índices, clasificación digital y visualización 3D. El curso está dirigido a personal del CSIC que requiera el uso de estas herramientas. Al finalizar el cur
Introduction to ArcGIS 10.1
This document provides instructions for using ArcGIS software to explore and analyze geospatial data, with chapters covering basic ArcMap navigation, acquiring and importing GPS and tabular data, symbolizing and labeling map layers, conducting analysis using geoprocessing tools, and map layout and production. Users are guided through exercises adding data, exploring attribute tables, performing selection and joins, editing data, and more to become familiar with ArcGIS capabilities and workflows.
ERDAS IMAGINE
ERDAS IMAGINE is a remote sensing image processing software that allows users to import imagery from satellite and aerial platforms and extract useful geospatial information. It has three product tiers - Essentials, Advantage, and Professional - that scale in functionality. The software also includes additional specialized modules like Virtual GIS and Radar Mapping Suite. ERDAS IMAGINE enables tasks like land cover classification, camera placement, integration with Google Earth and Bing Maps, measurement of vertical features, map report generation, and flood modeling.
satellite image processing
This document discusses digital image processing of satellite images. It describes how satellite images are represented digitally as pixels with brightness values. It outlines three main categories of image processing: image rectification and restoration to correct distortions; enhancement to improve visual interpretation; and information extraction to automate feature identification. Specific techniques discussed include image rectification, contrast enhancement, spatial filtering, edge enhancement, and band ratioing. The overall aim is to analyze satellite images both visually and quantitatively.
Geographical Information Systems and Science
I apologize, but I do not actually have any information about Joe Lobley or his current whereabouts. The "addendum" text appears to be fictional and was likely included by the authors as a humorous device.
georeference
The document discusses various methods of georeferencing, which is assigning accurate locations to spatial information. The most comprehensive method is using latitude and longitude, which defines locations based on angles from the equator and Greenwich Meridian. However, the Earth's curved surface poses issues for technologies that work with flat maps and data. Therefore, map projections are used to translate locations on the spherical Earth onto flat planes or surfaces, though all projections introduce some distortion. Common projections include cylindrical, conic, and the Universal Transverse Mercator system.
ERDAS IMAGINE
The document is a presentation on ERDAS IMAGINE software. It discusses layer stacking images, using model maker to add bands, georeferencing images, reprojecting images, and various spatial and radiometric enhancement techniques like filters, histogram equalization, brightness inversion, and haze reduction. Example images are shown to demonstrate the before and after effects of these techniques.
Gis arc map& georeferencing-arcgis
A geographic information system (GIS) is a collection of hardware,
software, geographicdata, and personnel designed to create, store, edit,
manipulate, analyze and display geographically referenced information.
Structural Mapping using GIS/RS
My M.Sc thesis presentation, awaiting to be published in Anuual Technical International Conference, 2011. Wish me Luck!!!
GIS
This document provides an overview of geographic information systems (GIS). It discusses the history of GIS, defines what GIS is, describes what types of geographical data are used in GIS, and outlines the key GIS processes of capture, manage, analyze and present. It also provides some examples of GIS applications such as crime mapping, hydrology and health services. The overall document provides a high-level introduction to what GIS is and how it works.
Introduction to ArcGIS
An introductory tutorial for Esri's ArcGIS version 10.1. This tutorial covers some basic concepts and tasks.
Lec_6_Intro to geo-referencing
This document discusses geo-referencing raster data. It defines geo-referencing as aligning raster data to real-world coordinates so it can be viewed and analyzed with other geographic data. There are two main types of geo-referencing: absolute, which aligns raster to maps or coordinates, and relative, which aligns raster to other geo-referenced raster. The document outlines the geo-referencing process, including selecting ground control points, performing transformations, and interpreting error metrics to evaluate accuracy.
Map to Image Georeferencing using ERDAS software
The document provides steps to georeference a satellite image using ERDAS software. It involves opening the image and a georeferenced toposheet in separate viewers, selecting ground control points that match features in both, and using a polynomial geometric model to resample the image. At least 4 GCPs should be selected to georeference the image, which can then be verified using swipe and transparency tools to check the alignment of features.
Arc gis introduction-ppt
This document provides an overview of ArcGIS and its components. It discusses how data are stored in ArcGIS using different data models over time, including coverages, shapefiles, and geodatabases. It describes the main ArcGIS applications - ArcMap for viewing and editing data, ArcCatalog for data management, and ArcToolbox for geoprocessing tools. It also outlines some key ArcGIS extensions for spatial, geostatistical, and 3D analysis.
Steps for Principal Component Analysis (pca) using ERDAS software
Principal component analysis is a technique that uses orthogonal transformation to convert correlated variables into a set of uncorrelated variables called principal components. The document provides steps to perform principal component analysis in ERDAS, including opening an input file, specifying the number of desired components and output file, and viewing the output layers. The first few layers highlight different features like urban areas, water regions, and vegetation.
Ppt on remote sensing system
This document discusses remote sensing systems. It begins with an introduction to remote sensing as gathering information from objects without direct contact. It then covers the history of remote sensing from early aerial photography to modern satellite systems. The document outlines different types of remote sensing including passive methods like photography and radiometers and active methods like RADAR and LiDAR. It provides examples of remote sensing applications and techniques. Finally, it describes different optical, RADAR, and LiDAR remote sensing systems and how they work.
Remote Sensing PPT
This document provides an overview of remote sensing through a seminar presented by Ashwathy Babu Paul. It defines remote sensing as obtaining information about an object without physical contact through electromagnetic radiation. It describes the basic components and process of remote sensing systems including energy sources, sensor recording, transmission and processing. Various sensors and platforms are discussed along with advantages and applications in fields like agriculture, natural resource management, national security, geology, meteorology, and more. Challenges are addressed but advantages of remote sensing are said to far outweigh these.
Viewers also liked (19)
Steps for Principal Component Analysis (pca) using ERDAS software
Steps for Principal Component Analysis (pca) using ERDAS software
More from Asri Renggo
TSS_Total_Suspended_Soil_Analysis_Using_GEE_Google.pdf
This document summarizes a study that analyzed total suspended solids (TSS) in Sibolga Waters, Indonesia using Sentinel-2 satellite imagery on Google Earth Engine cloud technology. TSS results showed levels between 0-120 mg/liter, with some areas exceeding Indonesian environmental standards. The highest TSS levels were influenced by tidal patterns, weather, rainfall, and human activities like fishing and waste disposal. Sentinel-2 imagery was found to be effective for mapping TSS distribution in the waters.
67179asnadsdsfdfdfdhgfdfgvcbvbcvnbcvbncbvbv
Seagrasses grow and spread through both vegetative and sexual reproduction. They have a modular clonal growth form, producing new leaves, rhizomes, and roots through meristem activity. Growth rates vary substantially between species, with smaller species typically growing faster than larger ones. Seagrass growth is also influenced by environmental factors like temperature, light, and nutrients as well as population density. Understanding seagrass growth patterns and rates is important for assessing meadow productivity, predicting recovery from disturbances, and informing management decisions.
Assignment agus
This document summarizes a student's thesis on identifying potential areas for paddy fields in Pinrang District, South Sulawesi, Indonesia using GIS and the ArcGIS Model Builder tool. The student collected spatial data on roads, rivers, elevation, land use and district boundaries. Criteria for suitable paddy fields included slopes less than 10% and proximity to rivers and roads. The student created a model in Model Builder to automatically identify areas meeting these criteria. Results found most of Pinrang District has slopes suitable for paddy fields. 3D and 2D maps of the district are presented.
Presentation remote sensing
Remote sensing is the science of obtaining information about Earth's surface through the analysis of sensor data, without physical contact. It involves processing digital images to classify land cover, such as in Central Java. Key steps include compositing, georeferencing, masking, and supervised classification using software. Accuracy assessment of the land cover classification for an area of interest yielded 88% overall accuracy.
If a tsunami causes the sea water rose as high as 50 m
This document summarizes spatial analysis conducted on tsunami risk in West Java. It analyzes: [1] Areas at risk of tsunamis over 50m and under 50m; [2] Areas at risk of tsunamis between 10-20m; [3] Cities located over 1000m; [4] Water bodies over 500m; [5] Paddy fields over 500m; [6] Settlements over 1000m. The last analysis creates a distance matrix of mountains and cities within a 10km buffer. The analyses identify areas, cities, and infrastructure at different risk levels from potential tsunamis.
Tutorial how to use screengrab
The document provides instructions for taking screenshots of maps from Google Maps. It explains how to open Google Maps, uncheck labels, select the satellite view, search for and zoom in on the area of interest, choose to save a custom region, and then save the screenshot. The screenshot can then be used as an output of the mapped area. The steps allow users to easily capture screenshots of satellite images from specific locations on Google Maps.
More from Asri Renggo (12)
TSS_Total_Suspended_Soil_Analysis_Using_GEE_Google.pdf
TSS_Total_Suspended_Soil_Analysis_Using_GEE_Google.pdf
If a tsunami causes the sea water rose as high as 50 m
If a tsunami causes the sea water rose as high as 50 m
Recently uploaded
Skybuffer SAM4U tool for SAP license adoption
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Finale of the Year: Apply for Next One!
Presentation for the event called "Finale of the Year: Apply for Next One!" organized by GDSC PJATK
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Main news related to the CCS TSI 2023 (2023/1695)
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Taking AI to the Next Level in Manufacturing.pdf
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
System Design Case Study: Building a Scalable E-Commerce Platform - Hiike
This case study explores designing a scalable e-commerce platform, covering key requirements, system components, and best practices.
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
Artificial Intelligence for XMLDevelopment
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.
Digital Marketing Trends in 2024 | Guide for Staying Ahead
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Programming Foundation Models with DSPy - Meetup Slides
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Best 20 SEO Techniques To Improve Website Visibility In SERP
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Introduction of Cybersecurity with OSS at Code Europe 2024
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
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!
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
Recently uploaded (20)
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
System Design Case Study: Building a Scalable E-Commerce Platform - Hiike
System Design Case Study: Building a Scalable E-Commerce Platform - Hiike
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...
Digital Marketing Trends in 2024 | Guide for Staying Ahead
Digital Marketing Trends in 2024 | Guide for Staying Ahead
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Nordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptx
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
Introduction of Cybersecurity with OSS at Code Europe 2024
Introduction of Cybersecurity with OSS at Code Europe 2024
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
A Comprehensive Guide to DeFi Development Services in 2024
A Comprehensive Guide to DeFi Development Services in 2024
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...
Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...
Tutorial how to download image from google earth
- 1. Tutorial How To Download Image From Google Earth with Georeference AGUS ARIS
- 2. Step 1 Google Earth
- 3. Step 2 • Click Login for Connect Global Earth (GE) • Choose the location (AOI) • Refresh Coords • Cllick Go to • Click Import Rectified Image then save jpg
- 4. Step 3 • Open GE /save file then reflace output from El shayal
- 5. Step 4 • Right click jgp choose reload file • Then right click again choose Save world file Finish