Discussion of the science, collection and availability of lidar, specifically topobathymetric lidar. Use of NOAA/USGS Interagency Elevation Inventory leveraged
This document discusses lidar technology, including its history, uses, trends, and data availability. It provides an overview of active lidar systems that use laser ranging to produce 3D point clouds with over 400,000 pulses per second. It reviews the evolution of lidar since the 1960s and covers various applications like coastal zone management, shoreline delineation, and natural disaster assessments. The document also addresses concerns about accuracy and data formats. Additionally, it outlines trends showing increasing lidar coverage over time and the goal of a nationwide elevation dataset by 2020. Maps are presented showing the quality and extent of existing and planned topobathymetric lidar coverage.
This document discusses the use of Light Detection and Ranging (LIDAR) and Interferometric Synthetic Aperture Radar (IFSAR) data to improve soil survey mapping in North Dakota. It provides examples of how high resolution digital elevation models from LIDAR and IFSAR can help identify landforms and landscapes, map soil types more accurately, and infer soil properties. The improved terrain data allows soil scientists to build more consistent mapping techniques and develop predictive models to guide their field work.
This document discusses lidar technology, including its history, applications, concerns, and trends. It provides an overview of active lidar systems that use laser pulses to measure distance and generate 3D point clouds. Applications mentioned include assessing geodesy accuracy, slope stability, shoreline delineation, beach erosion, and natural disaster impacts. Topobathymetric lidar is discussed for mapping both land and shallow water areas. Challenges of airborne lidar bathymetry are also summarized, such as the need for accurate tides, dealing with water clarity and refraction effects. Recent trends show increasing lidar data availability and uses through organizations like NOAA and its Digital Coast program.
The Edwards Aquifer Authority developed an interactive web application using ArcGIS to map the structural geology of the Edwards Aquifer in central Texas and estimate the depth to the aquifer. The application allows well drillers and staff to click on a location to view estimates of the top and base of the Edwards formation and its thickness. The tool was created using ArcGIS Desktop, Server and Online to provide a one-stop resource and save staff time answering queries. Future work includes adding more well data to improve accuracy and incorporating seismic mapping and additional geological surfaces.
Light-imaging Detection and Ranging (LiDAR) has become a common tool used in mapping and is being dispatched to complete more and more projects, but do you understand what this technology is, how it works, and what it can be used for? Through this brief but informative presentation, we’ll get you up-to-date on LiDAR
technology and its ability to offer acquisition of digital elevation data for large-scale mapping projects. We’ll also
discuss how LiDAR can work alongside traditional aerial photography and photogrammetric techniques – making it even more powerful.
2012 Workshop, Introduction to LiDAR Workshop, Bruce Adey and Mark Stucky (Me...GIS in the Rockies
The document provides an introduction to LiDAR technology and applications presented by GIS in the Rockies. It includes bios of the two presenters, an overview of the company Merrick & Company, and an agenda for the workshop covering LiDAR technology review, applications, data processing workflow, project planning, and Q&A. The workshop aims to educate attendees on airborne LiDAR data acquisition projects through a practical review of technical requirements and benefits of the technology.
The document discusses the use of LiDAR (light detection and ranging) technology for various applications such as flood plain mapping, transportation infrastructure, forestry management, and more. It provides details on LiDAR accuracy standards, processing methods, and deliverable data formats. The presentation aims to help audiences understand how LiDAR data can aid in decision-making processes.
This document discusses lidar technology, including its history, uses, trends, and data availability. It provides an overview of active lidar systems that use laser ranging to produce 3D point clouds with over 400,000 pulses per second. It reviews the evolution of lidar since the 1960s and covers various applications like coastal zone management, shoreline delineation, and natural disaster assessments. The document also addresses concerns about accuracy and data formats. Additionally, it outlines trends showing increasing lidar coverage over time and the goal of a nationwide elevation dataset by 2020. Maps are presented showing the quality and extent of existing and planned topobathymetric lidar coverage.
This document discusses the use of Light Detection and Ranging (LIDAR) and Interferometric Synthetic Aperture Radar (IFSAR) data to improve soil survey mapping in North Dakota. It provides examples of how high resolution digital elevation models from LIDAR and IFSAR can help identify landforms and landscapes, map soil types more accurately, and infer soil properties. The improved terrain data allows soil scientists to build more consistent mapping techniques and develop predictive models to guide their field work.
This document discusses lidar technology, including its history, applications, concerns, and trends. It provides an overview of active lidar systems that use laser pulses to measure distance and generate 3D point clouds. Applications mentioned include assessing geodesy accuracy, slope stability, shoreline delineation, beach erosion, and natural disaster impacts. Topobathymetric lidar is discussed for mapping both land and shallow water areas. Challenges of airborne lidar bathymetry are also summarized, such as the need for accurate tides, dealing with water clarity and refraction effects. Recent trends show increasing lidar data availability and uses through organizations like NOAA and its Digital Coast program.
The Edwards Aquifer Authority developed an interactive web application using ArcGIS to map the structural geology of the Edwards Aquifer in central Texas and estimate the depth to the aquifer. The application allows well drillers and staff to click on a location to view estimates of the top and base of the Edwards formation and its thickness. The tool was created using ArcGIS Desktop, Server and Online to provide a one-stop resource and save staff time answering queries. Future work includes adding more well data to improve accuracy and incorporating seismic mapping and additional geological surfaces.
Light-imaging Detection and Ranging (LiDAR) has become a common tool used in mapping and is being dispatched to complete more and more projects, but do you understand what this technology is, how it works, and what it can be used for? Through this brief but informative presentation, we’ll get you up-to-date on LiDAR
technology and its ability to offer acquisition of digital elevation data for large-scale mapping projects. We’ll also
discuss how LiDAR can work alongside traditional aerial photography and photogrammetric techniques – making it even more powerful.
2012 Workshop, Introduction to LiDAR Workshop, Bruce Adey and Mark Stucky (Me...GIS in the Rockies
The document provides an introduction to LiDAR technology and applications presented by GIS in the Rockies. It includes bios of the two presenters, an overview of the company Merrick & Company, and an agenda for the workshop covering LiDAR technology review, applications, data processing workflow, project planning, and Q&A. The workshop aims to educate attendees on airborne LiDAR data acquisition projects through a practical review of technical requirements and benefits of the technology.
The document discusses the use of LiDAR (light detection and ranging) technology for various applications such as flood plain mapping, transportation infrastructure, forestry management, and more. It provides details on LiDAR accuracy standards, processing methods, and deliverable data formats. The presentation aims to help audiences understand how LiDAR data can aid in decision-making processes.
EARS is a Dutch company that has been using satellite data since 1977 to monitor climate, water, and food issues. Some of its key applications include river flow forecasting, drought monitoring, and crop yield forecasting. It develops products like rainfall, evapotranspiration, and drought indices using geostationary meteorological satellites. These products are input into hydrological and crop growth models to provide services for water management, agriculture, and insurance sectors. EARS has implemented projects in countries like China, Niger, and East Africa.
Lidar, or light detection and ranging, is a remote sensing technology that uses laser light to measure distances. It was originally developed in the 1960s and has various applications including agriculture, autonomous vehicles, geology, atmospheric science, mining, space exploration, surveying, and planetary science. For example, lidar allowed NASA to create highly accurate topographic maps of Mars through the Mars Orbiter Laser Altimeter mission.
The document discusses LIDAR technology and its applications. It provides an introduction to LIDAR, describing how it uses lasers to measure distance. Examples of applications discussed include traffic sign detection using LIDAR and camera fusion, forestry inventory using LIDAR to measure tree characteristics, and autonomous vehicles using LIDAR for obstacle detection. The document also covers advantages of LIDAR like high accuracy, fast data collection and lower costs compared to other methods.
1. The document summarizes a study that used LiDAR (light detection and ranging) to map sinkholes in Jefferson County, West Virginia as part of assessing water availability and threats.
2. LiDAR works by sending laser pulses from an aircraft and measuring their return times to compute high-accuracy surface heights and positions. The study acquired LiDAR data for Jefferson County and processed it using filtering and terrain analysis to identify potential sinkhole depressions.
3. Field validation of 94 sites found sinkholes at 16.4% of sites and probable sinkholes at 43.6%, showing the LiDAR analysis was effective at highlighting depressions warranting further investigation.
This document provides an overview of different types of LiDAR acquisition methods. Aerial LiDAR is used to capture large areas and generates 2.5D data by scanning from aircraft. Terrestrial LiDAR captures smaller areas in full 3D using static or mobile ground-based units. Bathymetric LiDAR maps shallow underwater areas using dual lasers. Atmospheric LiDAR surveys air properties by transmitting laser pulses and analyzing backscatter. Common to all is using a laser transmitter and detector to measure discrete points or full waveforms, with variations depending on the objective and environment.
LIDAR is a remote sensing technology that uses laser light to measure distances to the Earth. It can generate highly accurate digital elevation models and other 3D data about physical features and land cover. LIDAR works by measuring the time it takes for a laser to travel from a sensor to the ground and back. This allows it to determine the precise latitude, longitude, and elevation for each point. LIDAR data comes in the form of dense point clouds containing hundreds of thousands or millions of points per square kilometer. LIDAR has many applications, including mapping terrain and creating contours, modeling forests and individual trees, and modeling urban infrastructure for planning and emergency response. Accuracies of LIDAR elevation data are typically
LiDAR uses laser light to rapidly create high-resolution 3D models of objects and terrain. It has largely replaced photogrammetry for topographic mapping due to its ability to collect data day or night and its direct measurement of ground surfaces. While public LiDAR datasets are useful for planning, private firms can benefit more from terrestrial and aerial LiDAR for detailed civil engineering and surveying projects. LiDAR allows rapid mapping of complex sites and piping networks to support master planning, grading, utilities, and other design work.
This document discusses factors to consider when planning and conducting a LiDAR data acquisition project to ensure accurate results. It covers planning the flight path and sensor settings, conducting pre-flight control surveys, calibration procedures during data collection flights, and performing initial approximate processing checks of the raw GPS, IMU, and laser point data to validate data quality. The goal is to identify and address any issues early to help meet the desired level of positional and elevation accuracy.
LiDAR is a remote sensing method that uses light in the form of a pulsed laser to measure variable distances to the Earth. It can be used to create high resolution digital elevation models and terrain models. The document discusses the benefits of high resolution LiDAR data, including more accurate terrain data, multiple applications, and a return on investment of $4-5 for every $1 spent on LiDAR collection. It also provides examples of government agencies that regularly collect and update LiDAR data.
LIDAR uses pulsed laser light to measure distance by illuminating targets and analyzing reflections. It can be used to create high-resolution 3D maps of physical features and is useful for applications in fields like agriculture, biology, engineering and law enforcement. LIDAR offers advantages over other mapping methods like higher accuracy, faster data collection and greater data density.
LIDAR uses laser light to measure distance by illuminating a target and analyzing the reflected light. It can be used to generate highly accurate 3D models of terrain, infrastructure, and other physical features. LIDAR systems consist of a laser, scanner, photodetector, and navigation components. LIDAR has various applications in fields like geography, archaeology, environment, and autonomous vehicles due to its ability to rapidly capture precise spatial data regardless of lighting conditions.
LiDAR acronym as Light Detection and Ranging is remote sensing technology having several technical and socialite advantages. This technology is basically used to make high resolution digital map to provide the real time data. This data can be processed and used to extract the useful information. A typical LIDAR system consists of three main components, a GPS system to provide position information, an INS unit for attitude determination, and a LASER system to provide range (distance) information between the LASER firing point and the ground point. In addition to range data, modern LIDAR systems can capture intensity images over the mapped area. Therefore, LIDAR is being more extensively used in mapping and GIS applications.
LIDAR is a remote sensing method that uses light in the form of a pulsed laser to measure ranges (variable distances) to the Earth. It can be used to generate precise, three-dimensional information about the structure of objects and terrain. LIDAR involves the measurement of distance to a target by illuminating that target with laser light and measuring the reflected pulses with a sensor. Differences in laser return times and wavelengths can then be used to make digital 3D representations of the target. LIDAR originated in the 1960s and has various applications including terrain mapping, atmospheric studies, robotics, autonomous vehicles, archaeology, geology and forestry.
This study analyzed crustal deformation in the seismically active Patras Gulf region of Greece using GPS data. The GPS network was established in 1994 and expanded through additional campaigns in 1996, 2006, and 2011. The data show the Patras Gulf is opening up at a rate of 8-13 mm/yr with uplift of 5 mm/yr in the south. A continuous GPS station revealed southeast horizontal motion of 17.4 mm/yr and a clear signal from the 2008 Mw 6.4 Andravida earthquake. The results indicate increasing extension across the gulf and smaller extension near the Rio-Antirrio bridge area.
This document provides an introduction to LIDAR (Light Detection and Ranging) technology. It describes LIDAR as a remote sensing method that uses lasers to measure properties of scattered light to find range and other information of objects, similar to radar but using optical pulses. The document outlines the basic components, working principles, history and applications of LIDAR systems. It explains how LIDAR can be used for tasks like mapping terrain, monitoring forests and crops, surveying archaeological sites, and studying the atmosphere.
Lidar is an acronym for light detection and ranging. It is an optical remote sensing technology that can measure the distance to, or other properties of a target by illuminating the target with light, often using pulses from a laser.
Provides a first look at the data captured by PSMA Australia's new dataset, Geoscape. This is from the first production phased which has captured 16,500 square km in the Adelaide region. The full delivery of Geoscape in 2017 will provide location, distribution and physical characteristics for over 15 million structures across 7.6 million square kms.
Multi-Spectral Analysis of Satellite Imagery for Inventory of Sensitive Marin...Keith VanGraafeiland
An inventory of benthic marine habitats can be obtained from recent satellite images. During Sub Sea Survey 2008 in Galveston Texas opportunities to preform multi-spectral analysis against satellite imagery were discussed in this presentation.
LiDAR and its application in civil engineeringchippi babu
The document discusses the use of LIDAR (Light Detection and Ranging) technology in civil engineering applications. It describes LIDAR's components, principles of operation, and its advantages over other remote sensing methods. Key applications mentioned include topographic and hydrographic surveying to generate digital terrain models, bridge clearance measurement, and sewer inspection. The document concludes that LIDAR offers highly accurate data collection with minimal human involvement.
The document discusses LiDAR technology and its applications in forestry. It begins by explaining what LiDAR is and the different platforms it can be used on, including satellites, aircraft, and ground-based systems. It then discusses several forestry applications of LiDAR such as measuring tree height, crown width, biomass, and basal area. Two case studies are presented, one on estimating carbon stock in an urban forest using LiDAR data, and another on estimating forest canopy fuels. The document concludes that LiDAR provides highly accurate, high-resolution data that allows forest characteristics to be acquired quickly and is useful for applications like biomass estimation and modeling fire behavior.
This document defines and provides examples of absolute value, including:
- Absolute value strips away the minus sign if a number is negative and leaves it unchanged if nonnegative.
- The absolute value of a product is the product of the absolute values.
- Absolute value has a geometric interpretation as distance on a number line.
- Important inequalities involving absolute value, like |x-a|<k, have solution sets that consist of values within k units of a.
- The triangle inequality states the absolute value of a sum is less than or equal to the sum of the absolute values.
This document provides examples of how to connect to and query a Microsoft Access database from PHP using ODBC. It demonstrates connecting to Access and performing basic CRUD (create, read, update, delete) operations as well as displaying results of a SELECT query in an HTML table. Specific connection strings and SQL statements for inserting, deleting, updating and selecting data from an Access table are shown.
EARS is a Dutch company that has been using satellite data since 1977 to monitor climate, water, and food issues. Some of its key applications include river flow forecasting, drought monitoring, and crop yield forecasting. It develops products like rainfall, evapotranspiration, and drought indices using geostationary meteorological satellites. These products are input into hydrological and crop growth models to provide services for water management, agriculture, and insurance sectors. EARS has implemented projects in countries like China, Niger, and East Africa.
Lidar, or light detection and ranging, is a remote sensing technology that uses laser light to measure distances. It was originally developed in the 1960s and has various applications including agriculture, autonomous vehicles, geology, atmospheric science, mining, space exploration, surveying, and planetary science. For example, lidar allowed NASA to create highly accurate topographic maps of Mars through the Mars Orbiter Laser Altimeter mission.
The document discusses LIDAR technology and its applications. It provides an introduction to LIDAR, describing how it uses lasers to measure distance. Examples of applications discussed include traffic sign detection using LIDAR and camera fusion, forestry inventory using LIDAR to measure tree characteristics, and autonomous vehicles using LIDAR for obstacle detection. The document also covers advantages of LIDAR like high accuracy, fast data collection and lower costs compared to other methods.
1. The document summarizes a study that used LiDAR (light detection and ranging) to map sinkholes in Jefferson County, West Virginia as part of assessing water availability and threats.
2. LiDAR works by sending laser pulses from an aircraft and measuring their return times to compute high-accuracy surface heights and positions. The study acquired LiDAR data for Jefferson County and processed it using filtering and terrain analysis to identify potential sinkhole depressions.
3. Field validation of 94 sites found sinkholes at 16.4% of sites and probable sinkholes at 43.6%, showing the LiDAR analysis was effective at highlighting depressions warranting further investigation.
This document provides an overview of different types of LiDAR acquisition methods. Aerial LiDAR is used to capture large areas and generates 2.5D data by scanning from aircraft. Terrestrial LiDAR captures smaller areas in full 3D using static or mobile ground-based units. Bathymetric LiDAR maps shallow underwater areas using dual lasers. Atmospheric LiDAR surveys air properties by transmitting laser pulses and analyzing backscatter. Common to all is using a laser transmitter and detector to measure discrete points or full waveforms, with variations depending on the objective and environment.
LIDAR is a remote sensing technology that uses laser light to measure distances to the Earth. It can generate highly accurate digital elevation models and other 3D data about physical features and land cover. LIDAR works by measuring the time it takes for a laser to travel from a sensor to the ground and back. This allows it to determine the precise latitude, longitude, and elevation for each point. LIDAR data comes in the form of dense point clouds containing hundreds of thousands or millions of points per square kilometer. LIDAR has many applications, including mapping terrain and creating contours, modeling forests and individual trees, and modeling urban infrastructure for planning and emergency response. Accuracies of LIDAR elevation data are typically
LiDAR uses laser light to rapidly create high-resolution 3D models of objects and terrain. It has largely replaced photogrammetry for topographic mapping due to its ability to collect data day or night and its direct measurement of ground surfaces. While public LiDAR datasets are useful for planning, private firms can benefit more from terrestrial and aerial LiDAR for detailed civil engineering and surveying projects. LiDAR allows rapid mapping of complex sites and piping networks to support master planning, grading, utilities, and other design work.
This document discusses factors to consider when planning and conducting a LiDAR data acquisition project to ensure accurate results. It covers planning the flight path and sensor settings, conducting pre-flight control surveys, calibration procedures during data collection flights, and performing initial approximate processing checks of the raw GPS, IMU, and laser point data to validate data quality. The goal is to identify and address any issues early to help meet the desired level of positional and elevation accuracy.
LiDAR is a remote sensing method that uses light in the form of a pulsed laser to measure variable distances to the Earth. It can be used to create high resolution digital elevation models and terrain models. The document discusses the benefits of high resolution LiDAR data, including more accurate terrain data, multiple applications, and a return on investment of $4-5 for every $1 spent on LiDAR collection. It also provides examples of government agencies that regularly collect and update LiDAR data.
LIDAR uses pulsed laser light to measure distance by illuminating targets and analyzing reflections. It can be used to create high-resolution 3D maps of physical features and is useful for applications in fields like agriculture, biology, engineering and law enforcement. LIDAR offers advantages over other mapping methods like higher accuracy, faster data collection and greater data density.
LIDAR uses laser light to measure distance by illuminating a target and analyzing the reflected light. It can be used to generate highly accurate 3D models of terrain, infrastructure, and other physical features. LIDAR systems consist of a laser, scanner, photodetector, and navigation components. LIDAR has various applications in fields like geography, archaeology, environment, and autonomous vehicles due to its ability to rapidly capture precise spatial data regardless of lighting conditions.
LiDAR acronym as Light Detection and Ranging is remote sensing technology having several technical and socialite advantages. This technology is basically used to make high resolution digital map to provide the real time data. This data can be processed and used to extract the useful information. A typical LIDAR system consists of three main components, a GPS system to provide position information, an INS unit for attitude determination, and a LASER system to provide range (distance) information between the LASER firing point and the ground point. In addition to range data, modern LIDAR systems can capture intensity images over the mapped area. Therefore, LIDAR is being more extensively used in mapping and GIS applications.
LIDAR is a remote sensing method that uses light in the form of a pulsed laser to measure ranges (variable distances) to the Earth. It can be used to generate precise, three-dimensional information about the structure of objects and terrain. LIDAR involves the measurement of distance to a target by illuminating that target with laser light and measuring the reflected pulses with a sensor. Differences in laser return times and wavelengths can then be used to make digital 3D representations of the target. LIDAR originated in the 1960s and has various applications including terrain mapping, atmospheric studies, robotics, autonomous vehicles, archaeology, geology and forestry.
This study analyzed crustal deformation in the seismically active Patras Gulf region of Greece using GPS data. The GPS network was established in 1994 and expanded through additional campaigns in 1996, 2006, and 2011. The data show the Patras Gulf is opening up at a rate of 8-13 mm/yr with uplift of 5 mm/yr in the south. A continuous GPS station revealed southeast horizontal motion of 17.4 mm/yr and a clear signal from the 2008 Mw 6.4 Andravida earthquake. The results indicate increasing extension across the gulf and smaller extension near the Rio-Antirrio bridge area.
This document provides an introduction to LIDAR (Light Detection and Ranging) technology. It describes LIDAR as a remote sensing method that uses lasers to measure properties of scattered light to find range and other information of objects, similar to radar but using optical pulses. The document outlines the basic components, working principles, history and applications of LIDAR systems. It explains how LIDAR can be used for tasks like mapping terrain, monitoring forests and crops, surveying archaeological sites, and studying the atmosphere.
Lidar is an acronym for light detection and ranging. It is an optical remote sensing technology that can measure the distance to, or other properties of a target by illuminating the target with light, often using pulses from a laser.
Provides a first look at the data captured by PSMA Australia's new dataset, Geoscape. This is from the first production phased which has captured 16,500 square km in the Adelaide region. The full delivery of Geoscape in 2017 will provide location, distribution and physical characteristics for over 15 million structures across 7.6 million square kms.
Multi-Spectral Analysis of Satellite Imagery for Inventory of Sensitive Marin...Keith VanGraafeiland
An inventory of benthic marine habitats can be obtained from recent satellite images. During Sub Sea Survey 2008 in Galveston Texas opportunities to preform multi-spectral analysis against satellite imagery were discussed in this presentation.
LiDAR and its application in civil engineeringchippi babu
The document discusses the use of LIDAR (Light Detection and Ranging) technology in civil engineering applications. It describes LIDAR's components, principles of operation, and its advantages over other remote sensing methods. Key applications mentioned include topographic and hydrographic surveying to generate digital terrain models, bridge clearance measurement, and sewer inspection. The document concludes that LIDAR offers highly accurate data collection with minimal human involvement.
The document discusses LiDAR technology and its applications in forestry. It begins by explaining what LiDAR is and the different platforms it can be used on, including satellites, aircraft, and ground-based systems. It then discusses several forestry applications of LiDAR such as measuring tree height, crown width, biomass, and basal area. Two case studies are presented, one on estimating carbon stock in an urban forest using LiDAR data, and another on estimating forest canopy fuels. The document concludes that LiDAR provides highly accurate, high-resolution data that allows forest characteristics to be acquired quickly and is useful for applications like biomass estimation and modeling fire behavior.
This document defines and provides examples of absolute value, including:
- Absolute value strips away the minus sign if a number is negative and leaves it unchanged if nonnegative.
- The absolute value of a product is the product of the absolute values.
- Absolute value has a geometric interpretation as distance on a number line.
- Important inequalities involving absolute value, like |x-a|<k, have solution sets that consist of values within k units of a.
- The triangle inequality states the absolute value of a sum is less than or equal to the sum of the absolute values.
This document provides examples of how to connect to and query a Microsoft Access database from PHP using ODBC. It demonstrates connecting to Access and performing basic CRUD (create, read, update, delete) operations as well as displaying results of a SELECT query in an HTML table. Specific connection strings and SQL statements for inserting, deleting, updating and selecting data from an Access table are shown.
Ch4(saving state with cookies and query strings)Chhom Karath
The document discusses two methods for saving state across web pages: cookies and session functions. Cookies allow servers to store small amounts of data on a user's computer to remember information across visits. Session functions store data on the server-side in temporary files associated with a session ID. This allows storing larger amounts of data and sharing data across multiple pages during a user's session. The document provides examples of setting, accessing, and destroying both cookies and session data.
The document discusses various types of computer input devices such as keyboards, mice, touchscreens, scanners, cameras, and biometric devices. It describes how these devices work and are used for entering data, images, video, and instructions into computers. Examples of recommended input configurations are provided for different types of users including home users, small office/home office users, mobile users, and power users.
This document provides an introduction to PHP by summarizing its history and key features. PHP was created in 1994 by Rasmus Lerdorf as a set of Common Gateway Interface scripts for tracking visits to his online resume. It has since evolved into a full-featured programming language used widely by major companies like Google, Facebook, and Bank of America. The document outlines PHP's core syntax like variables, constants, includes, and flow control structures. It also discusses databases, MVC patterns, classes, and tools that employers seek like contributions to open source projects.
Guidelines for Modelling Groundwater Surface Water Interaction in eWater SourceeWater
One of the key challenges in modelling GW-SW interactions is the significant time-scale
differences between surface water and groundwater processes. Because groundwater
movement can be orders of magnitude slower than surface water movement, the
responses of groundwater systems to hydrological and management drivers such as
climate variability, land use change, and groundwater extraction can be very damped and
lagged. Hence, a key requirement in modelling GW-SW interactions in river system
models is to account for these time lags.
The modelling of GW-SW interactions in river system models is still very much in its
infancy, not just in Australia, but also throughout the world. As such, there is no consensus
on implementation of this functionality in river system models, and hence the little
discussion in the literature so far on what constitutes Best Practice Modelling in this
domain.
This document is about Unix commands for bioinformaticians. It discusses Unix folders and files, processes, and redirection. It provides examples of commands for listing, moving, copying, reading and editing files. It also demonstrates running processes, controlling processes, and redirecting inputs/outputs. The goal is to introduce basic Unix skills like navigating the filesystem, working with files, and running programs needed for bioinformatics tasks.
The document provides an introduction to PHP including:
- PHP is an open source scripting language especially suited for web development and can be embedded into HTML.
- PHP code is executed on the server, generating HTML which is then sent to the client.
- PHP supports variables, operators, conditional statements, arrays, loops, functions, and forms. Key functions like $_GET and $_POST are used to collect form data submitted via GET and POST methods respectively.
1) The document introduces computers and their components, including input/output devices, the system unit, storage, and communications devices.
2) It discusses the advantages and disadvantages of using computers and defines key terms like digital literacy and the information processing cycle.
3) Networks and the internet are introduced, including how they connect computers and allow sharing of resources. The functions of servers and how the world wide web works are also summarized.
The document provides an overview of how to connect to and use the Internet. It discusses the history and development of the Internet from its origins in ARPANET in the 1960s to the creation of the World Wide Web in the early 1990s. Key events included the development of packet switching, TCP/IP, email, web browsers, and commercialization of the Internet. The document describes how individuals and businesses connect to the Internet using options like dial-up, DSL, cable, or wireless. Common activities on the Internet are discussed like browsing websites, emailing, downloading files, and e-commerce.
The document discusses several ways to work with forms in PHP including:
1. Using superglobal variables like $_SERVER and $_POST to access form input data. $_SERVER contains server context data while $_POST contains submitted form fields.
2. Combining HTML and PHP code on a single page by opening and closing the PHP tags.
3. Saving state with hidden form fields and redirecting users with the header() function.
4. Uploading files with forms and limiting the maximum size.
The document discusses different computer components related to power and electricity, including form factors, power supplies, cases, and how electricity is measured. It covers topics like ATX, MicroATX, and BTX form factors; desktop and tower cases; voltages, amps, ohms, and watts; AC and DC power; surge protection; UPS systems; and how computers meet Energy Star standards through power management features. The document provides information to help understand and troubleshoot electrical issues in personal computers.
This document provides an overview of trigonometric functions and identities. It defines angles and their measurement in degrees and radians. It discusses trigonometric functions for right triangles, extending the definitions to angles in rectangular coordinate systems. Examples are provided to illustrate evaluating trigonometric functions of various angles. Key relationships between arc length, angle, radius, and area are also summarized.
This document describes rectangular coordinate systems and how to plot points and graphs in them. It contains the following key points:
- A rectangular coordinate system uses two perpendicular axes (typically x and y) that intersect at the origin to locate points in a plane.
- The coordinates of a point P are ordered pairs (x,y) where x is the point's distance from the y-axis and y is its distance from the x-axis.
- An equation in x and y defines a graph - the set of all points whose coordinates satisfy the equation. Graphs can be approximated by plotting sample points but this has limitations.
- Intercepts are points where a graph crosses an axis,
Emoji-Podz is a toy that aims to enhance social communication skills in children, particularly those on the autism spectrum, through emotion recognition and speech encouragement. It features 6 character pods that play animated stories when the corresponding emotional character is inserted correctly. It uses Ekman's 6 basic emotions and has an LCD screen, characters, and built-in mic to ask questions. The goal is to help children identify emotions, understand language, and develop conversational skills in an engaging way.
1) Speaker recognition uses characteristics extracted from voices to validate a user's claimed identity. It recognizes who is speaking, whereas speech recognition recognizes what is being said.
2) Speaker recognition technologies have evolved alongside speech recognition and synthesis since the 1960s as researchers have studied vocal tract physiology and developed systems to analyze speech acoustics and match samples to templates.
3) Speaker recognition systems extract features from speech like duration, pitch, and intensity to generate likelihood ratios comparing a sample to the claimed identity versus other speakers. Updates help models cope with voice changes over time.
This chapter discusses accessing information resources on the web, including the difference between the surface web and deep web. It covers various search tools like search engines, subject directories, and meta search engines. Boolean logic and search syntax are explained to refine queries. Advanced search features and evaluating results are also summarized. Methods to define search questions and formulate strategies are provided to efficiently find relevant information online.
This chapter discusses various forms of asynchronous communication including electronic mailing lists, newsgroups, web-based forums, weblogs (blogs), and wikis. It defines each technology and explains how they work, how to participate in them, and basic rules for their use.
2013 GISCO Track, Wildfire and Water: Utilizing LANDSAT imagery, GIS, and Sta...GIS in the Rockies
The June 2012 High Park Fire burned over 87,000 acres of forest and 259 homes to the west of Fort Collins, CO. The fire has had dramatic impacts on forest ecosystems. Of particular concern are its effects on the Cache la Poudre watershed, as the Poudre River is one of the most important headwaters of the Colorado Front Range, providing important ecosystem and economic services before flowing into the South Platte, which in turn flows into the Missouri River. Within a week of the fire, the area received several days of torrential rains. This precipitation—in conjunction with steep riverbanks and the loss of vegetation by fire—caused soil and ash runoff to be deposited into the Poudre’s channel, resulting in a river of choking mud and black sludge. Monitoring the effects of this disaster is critical and requires establishing immediate baseline data to assess impacts over time. Utilizing LANDSAT imagery, GIS layers, and boosted regression trees modeling, the NASA DEVELOP team based at the North Central Climate Science Center at Colorado State University conducted an investigation into riparian, wetland and headwaters modeling within the Cache la Poudre watershed. These efforts produced a preliminary model of predicted wetlands across the watershed, which is currently being refined by field data collection and modeling within three elevation-based “life zones.” The ultimate goal of this ongoing project is to provide important spatial data for land managers and create a riparian and wetlands modeling methodology that can be reproduced throughout the intermountain west region.
Kasper Johansen_Field and airborne data collection by AusCover: a tropical ra...TERN Australia
The document describes a field and airborne data collection campaign conducted by AusCover in a tropical rainforest site called Robson Creek. The campaign involved collecting field data through measurements of vegetation structure, leaf area index, hemispherical photos, and more. Airborne data was also collected through LiDAR and hyperspectral imaging from aircraft. The data collection was designed to validate satellite data and the various data sets would be made available through an online portal and shared with collaborators for research on topics like biomass estimation and vegetation mapping.
This document provides information on various LiDAR datasets available for Hawaii. It discusses bathymetric and terrain LiDAR datasets from sources such as the Army Corps of Engineers SHOALS program, NOAA, and the University of Hawaii. It also outlines some applications of LiDAR data such as vulnerability studies, feature extraction, and shoreline change analysis. Key contacts at the University of Hawaii Pacific GPS Facility are provided for additional information.
The document summarizes NOAA's National Geodetic Survey and its role in defining and maintaining the National Spatial Reference System. It discusses NGS's mission to provide geospatial data and services including latitude, longitude, height, scale, gravity, and time variations. It outlines NGS's ten-year plan to modernize reference systems using GPS and describes ongoing projects to collect lidar and gravity data, update shorelines, develop geoid models, and provide online positioning and mapping tools to support NOAA's work.
This document summarizes data and data products available from various NOAA agencies in the Pacific region, including the National Ocean Service, National Marine Fisheries Service, and National Environmental Satellite, Data and Information Service. It provides an overview of datasets such as satellite imagery, elevation data, land cover maps, marine boundaries, and climatology products. Contact information is given for each agency to learn more about specific datasets and how to access them.
Mapping UK Sea Space involves creating accurate maps of the seafloor and coastal areas through technologies like sonar, LiDAR and aerial imagery. These maps are important for navigation safety, managing human activities like fishing and offshore energy, and understanding the marine environment. While some areas have been mapped, most of the seafloor remains unexplored. New mapping techniques and tools are needed to address this challenge and support uses of the ocean, from infrastructure planning to habitat protection.
Coastal Landcover Trends & Applications in the NWEric Morris
This document discusses the Coastal Change Analysis Program (C-CAP), a NOAA program that produces land cover and change information for coastal regions of the United States. C-CAP creates national land cover maps every 5 years using remote sensing and updates coastal areas of the National Land Cover Database. It focuses on detailed mapping of wetland areas. The document outlines the history of C-CAP mapping efforts, describes the land cover classes mapped, and provides an example of analyzing land cover change between 1996-2010 in a coastal region where development increased by 8,887 square miles and forest and wetlands decreased slightly. It also demonstrates tools for analyzing high resolution C-CAP data and land cover change over time at local scales.
2017 ASPRS-RMR Big Data Track: Using NASA's AppEEARS to Slice and Dice Big Ea...GIS in the Rockies
This document summarizes the AppEEARS tool, which was developed by NASA's LP DAAC to allow users to easily subset, reformat, and analyze large Earth observation datasets. AppEEARS provides interactive subsetting of spatial, temporal, and variable subsets of datasets. It outputs the subsets in common file formats like GeoTIFF and NetCDF while maintaining metadata and provenance. The document describes several use cases where researchers were able to efficiently extract relevant data for studies on vegetation productivity, population changes, snow zones, and wildfire impacts using AppEEARS. It highlights how the tool eliminates much of the data processing workload and enables more focus on analysis.
The document summarizes a massive landslide that occurred on May 25, 2014 near Collbran, Colorado, killing 3 people. High-density LiDAR was used to analyze and model the landslide. Quantum Spatial conducted an emergency LiDAR acquisition from June 1-3, covering 48,118 acres and delivering data within 18 days. Preliminary findings showed the landslide involved a 2,700 foot wide rotational block failure and debris flows that traveled 2.8 miles. Ongoing concerns include the stability of the upper rotated block and potential flooding if the landslide pond fails.
The document summarizes a massive landslide that occurred on May 25, 2014 near Collbran, Colorado, killing 3 people. High-density LiDAR was used to analyze and model the landslide. Quantum Spatial conducted an emergency LiDAR acquisition from June 1-3, covering 48,118 acres and delivering data within 18 days. Preliminary findings showed the landslide involved a 2,700 foot wide rotational block failure and debris flows that traveled 2.8 miles. Ongoing concerns include the stability of the upper rotated block and potential flooding if the landslide pond fails.
The document discusses the need for a shared earth model to manage big data from subsea and subsurface exploration. It notes requirements like managing large volumes of seismic, bathymetry and other data; being open, scalable, and cost-efficient; and enabling sharing and collaboration. A shared earth model is needed for exploration, development, production planning, environmental management, and delineating maritime boundaries. It proposes using ArcGIS and Geocap tools to integrate subsurface data and interpretations with GIS, allowing visualization and sharing of big data while avoiding data duplication.
Remote sensing was used to map coastal environments in Nova Scotia for various applications. In Little Harbour, multispectral imagery was classified to map eelgrass extent. For Isle Madame, imagery was classified to inventory land cover and assess vulnerability to oil spills. In Shag Harbour, multispectral imagery and lidar were used to map rockweed spatial distribution for a seaweed company. High resolution coastal data allows efficient environmental monitoring and management.
Arc Surveying & Mapping performed a 110-mile multibeam swath survey of the Red River in Louisiana between river miles 7.0 and 235.0 under a subcontract for Continental Engineering. The survey used DGPS positioning and a Reson 8124 multibeam sounder to map the river bottom in 1-mile reaches. Water surface elevations were recorded daily to adjust depth soundings to the appropriate vertical control in accordance with USACE specifications.
NDGeospatialSummit2019 - Using GIS and Machine-Learning to Recognize Subtle L...North Dakota GIS Hub
This study used GIS and machine learning to develop a random forest model to recognize subtle landscape features associated with glacial Lake Agassiz in Clay County, Minnesota. Digital elevation data was analyzed using ArcGIS to generate topographic metrics like slope, aspect, and curvature. Random forest identified slope as the most important factor for distinguishing between shoreline complex and non-shoreline areas. The resulting prediction model matched known shoreline locations and detected new subtle features, which were verified in the field. Further analysis could improve discrimination between shorelines and rivers.
Mercedes Diana Erdey has over 15 years of experience managing GIS, geophysical data processing and analysis projects in marine environments. She has extensive experience overseeing teams to map and survey seafloors using technologies such as multibeam sonar and managing the processing of resultant data sets. Some of her roles and responsibilities included overseeing data editing teams at Apple Maps, managing California's seafloor mapping program, and serving as a project manager and quality control coordinator on numerous pipeline and cable installation surveys.
This document summarizes a presentation on remote sensing approaches for ecosystem assessment and restoration in the Great Lakes region. It discusses using remote sensing technologies like satellite imagery, aerial photography, LiDAR, and radar to map wetlands, identify invasive species, monitor bird nesting sites, and detect oil spills. Remote sensing allows assessment of large areas to determine habitat extent and condition, enabling prioritized and targeted restoration efforts. Regular monitoring with technologies like radar is important for assessing wetland changes and preventing future, more costly restoration projects.
2015 FOSS4G Track: Analyzing Aspen's Community Forest with Lidar, Object-Base...GIS in the Rockies
The city of Aspen has a diverse and extensive community forest comprised of natural forested areas, street and park trees, yard trees, and riparian corridors. Trees are a key asset to experiencing downtown Aspen. In this study, we utilized several open source GIS software to analyze the tree canopy extent as well as new tree planting areas. Several land cover metrics were calculated using geoprocessing routines across a variety of spatial planning scales including city limits, parcels, and zoning categories. The data informs planning and development, stormwater modeling, education/outreach, and natural areas monitoring. Methods, tools, and results will be presented.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
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.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
2. Active System
•Uses laser ranges,
scan angle &
positional IMU data
to produce x,y,z
and intensity for
corresponding
ground returns
Basics of Light Detection and Ranging
3. • Accuracies dependent on
calibration and GPS base
station
• Post-processing is costly
• Collected, stored in “point
clouds”
• ≥400,000 pulses/sec
• ~a million data points
every 2.5 seconds.
Basics of Light Detection and Ranging
4. A (Brief) History of Lidar
• 1960s – lunar laser ranging (to aid Apollo landing)
• 1977 – NOAA/NASA AOL looked to the clouds
• 1993 – GPS & IMU allowed accurate airborne use
• 2003 – ASPRS LAS 1.0 format (open source)
• 2010 – National Enhanced Elevation Assessment (NEEA)
• 2012 – U.S. Interagency Elevation Inventory
• 2014 – 3DEP
• ~2020 – GEDI – worldwide canopy at 1 m
37. Airborne Lidar Bathymetry (ALB)
• Applicable to oceans,
rivers, lakes
• Tides
• Snell’s Law
• Water Clarity
• Eye safety
• Air Space
• Refraction
“Requires more everything”
Tampa Bay, FL
73. Kirk Waters, PhD, Applied Sciences, NOAA OCM
Amar Nayegandhi, Director of Remote Sensing, Dewberry
Chris Parrish, PhD, formerly of the NOAA NGS and NOAA
CCOM-JHC, now at Oregon State Univ.’s School of
Civil and Construction Engineering
Special Thanks and Acknowledgements
Current expected accuracies.
Post processing. New techniques, collected lidar with aerial and infrared imagery, some tests of combining hyperspectral imagery coincidently too
Point clouds are really vectors
Number of data points increased storage and processing needs.
Rangefinders used to help Apollo program land on moon.
Atmospheric Oceanic Lidar (AOL)
Global Position Systems (GPS)
Inertial Measurement Unit (IMU)
American Society of Photogrammetry and Remote Sensing (ASPRS)
LAS – LASer file
USIEI
3D- Elevation Prgram
Global Ecosystem Dynamics Investigation (GEDI)
What constitute a concern… mostly what would degrade data quality or hinder collections. Types of data, products.
Not going to talk about Geodesy too much, which is a major component of sharing data, because so many people work with different datums and projections. NOAA OCM, NGS and OCS relay on geodesy to be exact, otherwise the data is no longer up to contract and project required accuracies.
Explaining h.a. – so good at this point, only a relative check is necessary for most projects due to the Continuously Operating Rerefernce Stations (CORS). The problem for remote sites means gaining basestation data during collection. No matter the basestation situation, Real time-kinematic RTK points coincident is the best way to correct/calibrate the acquired data but also allows for accuracy checks.
Pic of me doing field collection for accuracy assessments.
3-D graph shows that the slope of a surface will affect it’s exact accuracy. As the slope increases, the slope increases, that’s why it’s important to get RTK across the x,y,z range of the project area
QL levels, part of the NEEA assessment to figure out what counties, consortiums, regions, states, national groups need. It was decided that even though QL1 (for topographic data is acquirable, QL3 is the most cost efficient and most worthwhile for 3-5 year cycles. Price estimate of $252.67 per sq mi. 2,644 sq mi for Snohomish = 668K, but the canopy density here would require the QL1 to get the adequate ground density, $547 per sq mi. 1.4 million, double.
Raw collected format… ascii text, comma delimited. Raw dem, no extra processes, for quick delivery. Only plane allowed to fly over the site, flown immediately following. Collected imagery along with this.
Explanation of datatypes, lasoptimizer
From profile view to stereo derived photogrammetric contours.
Contour, benchmark derived DEM, regional. Now we move into SRTM (shuttle radar topo), IfSAR (interferometric Synthetic Aperature Radar) regional collects.
Lidar derived 3D view of Meteor Crater in Arizona. Perfect view. Topo though, but this is what is needed in this region. I work in the coastal communities.
I work in the realm of topo and bathymetric data. Hydrographic data has been used for years, sonar is great for the deepest areas. The Hydrographic Survey Review Panel looks for areas of interest and priority to collect hydrographic surveys. Recently they added bathymetric lidar to their data possibilities. This is open water on the right of the sand dune, barrier isalnd, then a shallow back-bay, data ignores the water level, but on the backend, this was also measured and stored indifferent data formats and/or in the data as a different classifications.
Elevation.
Strength of return, stretched across the histogram of returns strengths. Highest intensity return may be 20 but stretched to a gray-scale it becomes 255, very bright.
Coincident imagery encoded to each point.
Classified by algorithsm and breaklines to help separate areas.
1st returns are tops of features and ground. – 4th returns are deep in the wood on the ground. These are hard to get in dense tree stands
DSM, 1st returns basically. DSM is a macro, algorithm derivative of all returns to find the terrain, can have remnants of buildings and vegetation.
The important of breaklines and hydroflattened DEMs
Using 1st and last returns, as well as ground classified points to find the datum.
Can’t talk about hazard assessment without talking about the Oso landslide… subsidence measuring.
Can’t talk about hazard assessment without talking about the Oso landslide… subsidence measuring.
Pergolesi Chair with a ground based terrestrial lidar.
USGS Coastal Marine Geology Program office. Able to collect bathymetry and topographic lidar together.
Coastal, but also riverine, no so good in lacustrine/palustrine waters, must be collected as MLLW or MHHW. Light travels slow in water (snell’s law). Backbays are easier to get because of water clarity, higher frequency causes unsafe eye distances, air space along airports and metropolises, refraction (finding where refraction need to be applied – enter IR imagery collection)
USS Chehalis, found in the Pago Pago, American Samoa bathy. Similar shipwrecks and unexploded ordinances have been found on the east coast
Habitat restoration in New York. Input into the Threatened and Endangered Species Geodatabase
Derived shorelines. Have tremendous effects on insurance rates, taxes, law, jurisdiction, etc