MGISS specializes in enabling accurate spatial data collection on mobile devices using cost-effective workflows. Their mission is to improve field data collection workflows by providing efficient and accurate positioning solutions. This includes choosing the appropriate global navigation satellite system and correction service to meet the required accuracy level for applications like mapping, inspections, and asset surveys. MGISS helps customers implement spatial data collection solutions that deliver a return on investment within a single project.
Skywards industries then showed their work in generating remote sensing data at a local level using drones. This can be used for mapping farms and assessing which crops are being grown. The drones can also be used for assessing agricultural health based on infrared reflectance. These images can then be reviewed by farmers in the field using tablets or mobile devices to assess areas of damage
Greg Babinski gave a presentation on using GIS (geographic information systems) to prospect for profits. GIS combines geographic theory, spatial analysis, and geospatial technology to help manage natural resources and communities on Earth's finite space. Studies have shown GIS provides significant ROI (return on investment) for organizations, such as delivering $776 million in net benefits for King County from 1998-2010. International reports also estimate the global geoservices industry generates $150-270 billion annually, comparable to the video game or airline industries.
A two-person surveying firm in southeast England has successfully utilized HDS (high definition surveying) technology in their work for over 15 years. The document details how the firm is able to complete many surveying projects with just one person in the field using an HDS scanner, GPS, and total station. It discusses the phases of incorporating HDS into their business, metrics on HDS use, and examples of projects where HDS provided benefits over traditional surveying methods.
Announcement gis specialist mapping of inland valleys systems in west-africawaappp
The Africa Rice Center is seeking a GIS specialist to map inland valleys in West Africa. The specialist will develop an algorithm to map inland valleys using digital elevation models, test and validate the algorithm using existing data sets, provide statistical proof of the algorithm's accuracy, train Africa Rice staff, and prepare technical reports. The expected time frame is November 2013 through April 2014. Qualified candidates should have a master's degree in geoinformation sciences, GIS/remote sensing experience, proficiency in ArcGIS and modeling languages, and a strong publication record.
2016 gisco track: using gis in the marijuana permitting process by bruce reag...GIS in the Rockies
The City of Denver uses GIS tools like ArcIMS, Geocortex, Accela, and MapIt Denver to manage its marijuana permitting process. Applicants submit paperwork through Accela, which uses spatial alerts to check for proximity to other retailers, schools, and daycares. If approved, GIS generates a notification area and report for a needs and desires hearing. The system streamlines permitting while ensuring compliance with regulations. Future plans include expanding data and customizing Geocortex for this workflow.
MGISS specializes in enabling accurate spatial data collection on mobile devices using cost-effective workflows. Their mission is to improve field data collection workflows by providing efficient and accurate positioning solutions. This includes choosing the appropriate global navigation satellite system and correction service to meet the required accuracy level for applications like mapping, inspections, and asset surveys. MGISS helps customers implement spatial data collection solutions that deliver a return on investment within a single project.
Skywards industries then showed their work in generating remote sensing data at a local level using drones. This can be used for mapping farms and assessing which crops are being grown. The drones can also be used for assessing agricultural health based on infrared reflectance. These images can then be reviewed by farmers in the field using tablets or mobile devices to assess areas of damage
Greg Babinski gave a presentation on using GIS (geographic information systems) to prospect for profits. GIS combines geographic theory, spatial analysis, and geospatial technology to help manage natural resources and communities on Earth's finite space. Studies have shown GIS provides significant ROI (return on investment) for organizations, such as delivering $776 million in net benefits for King County from 1998-2010. International reports also estimate the global geoservices industry generates $150-270 billion annually, comparable to the video game or airline industries.
A two-person surveying firm in southeast England has successfully utilized HDS (high definition surveying) technology in their work for over 15 years. The document details how the firm is able to complete many surveying projects with just one person in the field using an HDS scanner, GPS, and total station. It discusses the phases of incorporating HDS into their business, metrics on HDS use, and examples of projects where HDS provided benefits over traditional surveying methods.
Announcement gis specialist mapping of inland valleys systems in west-africawaappp
The Africa Rice Center is seeking a GIS specialist to map inland valleys in West Africa. The specialist will develop an algorithm to map inland valleys using digital elevation models, test and validate the algorithm using existing data sets, provide statistical proof of the algorithm's accuracy, train Africa Rice staff, and prepare technical reports. The expected time frame is November 2013 through April 2014. Qualified candidates should have a master's degree in geoinformation sciences, GIS/remote sensing experience, proficiency in ArcGIS and modeling languages, and a strong publication record.
2016 gisco track: using gis in the marijuana permitting process by bruce reag...GIS in the Rockies
The City of Denver uses GIS tools like ArcIMS, Geocortex, Accela, and MapIt Denver to manage its marijuana permitting process. Applicants submit paperwork through Accela, which uses spatial alerts to check for proximity to other retailers, schools, and daycares. If approved, GIS generates a notification area and report for a needs and desires hearing. The system streamlines permitting while ensuring compliance with regulations. Future plans include expanding data and customizing Geocortex for this workflow.
This document discusses open geospatial data, standards, and software. It begins by introducing OpenStreetMap, an open crowd-sourced map of the world. It then discusses how OpenStreetMap data has been used for humanitarian efforts. Next, it outlines several open geospatial data standards and services for finding, rendering, and processing map data. Finally, it promotes open source geospatial software projects like OSGeo Live, an open source geospatial software distribution with over 60 applications.
Performance and Application of GIS and Big Data ETL Processes Using FMESafe Software
This presentation will describe the process and results of a project, which was conducted as a graduate-level capstone project for Johns Hopkins University, that utilized both FME Desktop and FME Cloud to manipulate approximately one terabyte of Landsat imagery. The purpose of the project was to expose the advantages and disadvantages of using local resources, cloud technology, and Big Data Software to view, process, and manipulate large amounts of geospatial data. This was executed by designing, testing, and analyzing various configurations of development and production environments, ranging from entirely on-premises to entirely in the cloud. The control process was developed in FME Workbench that reads and processes single-band Landsat imagery and metadata text files and outputs composite images using 11 common band combinations. Through a series of case studies, three main variables were examined: (1) location of and method of accessing source data, (2) location of system processing – locally verses in the cloud, and (3) file format and target destination of the output data. The successfulness of each case study was determined through analyzing a common set of success criteria, which includes: Total Processing Time, Ease of Setup, Cost, Ease of Viewing and Querying Results, Local System Requirements, and Network Requirements.
This document discusses developments in big geodata and its role in GIS. It encourages students to pay closer attention to data aspects of GIS and gain experience with large geodata sets. The presentation explains how data collection is changing from expert-driven and closed to crowd-sourced and open. Examples of big geodata sources include sensor data, social media, and the Internet of Things. Tips are provided for students to explore big geodata through MOOCs and recommended readings.
Urban big data are increasingly being used in urban GIS research. This presentation, developed for an introductory GIS course, introduces the seven V's of big data: volume, variety, velocity, veracity, value, visualization, and variability. Major sources of urban big data include sensor systems, user-generated content, administrative systems, private sector data, humanities data, and hybrid data. These categories and the seven V's are illustrated with six examples of cutting-edge urban big data research: the Array of Things sensing network, Austin bike data, analysis of London's transport network, scraping Craigslist to analyze rental housing, the Mapping Inequality Project, and the EPA Smart Locations Database. The presentation concludes with a discussion of critiques surrounding the use of big data.
THT10839_OpenWorldSF2015 CSP Location Data Monetization V1.0Srini Alavala
This document discusses how telecommunications companies can monetize location data from mobile subscribers. It describes how location and subscriber data is currently isolated in information silos within telecom companies. The document proposes integrating this data to develop new revenue streams from location-based services like real-time offers, advertisements, foot traffic analytics and location insights products. It presents Oracle's big data platform as an end-to-end solution to acquire, aggregate, anonymize and analyze telecom subscriber location data at scale to power these new monetization opportunities.
Dr. Stefan Radtke gave a presentation on the journey to big data analytics. He discussed how analytics is affecting many industries and the evolution of analytic questions from descriptive to predictive to prescriptive. He emphasized the need to collect all potential data from both traditional and new sources. A strategic approach was presented that aligns business and IT goals, identifies strategic opportunities, prioritizes use cases, and recommends an analytics roadmap. Dell EMC offers various services to help customers with their big data and analytics initiatives and solutions.
This document provides an overview of Google BigTable, including its motivation, key components, data model, and implementation. BigTable is a distributed storage system designed to scale to massive amounts of data across thousands of servers. It uses several Google technologies like Google File System for storage, Chubby for locking, and MapReduce for distributed processing. The document describes BigTable's data model of rows, columns, and timestamps, as well as its APIs, building blocks, load balancing structure, and compaction process.
WSO2Con USA 2017: Geospatial Big Data – Location Intelligence in Digital Tran...WSO2
This document discusses the evolution of geospatial technology and how location data is becoming more ubiquitous and integrated across various applications and sectors. Some key points:
- Geospatial data is increasingly heterogeneous, coming from diverse sources like sensors, IoT devices, and user-generated content. This data is also growing at a massive scale.
- Emerging technologies like stream processing enable real-time spatial analysis of high-velocity and continuous location-based data streams.
- Location data adds value to predictive analytics and optimization across various domains like transportation, utilities and more.
- API management and integration across sources allows for a unified view of geospatial information and encourages participatory business models.
- These trends
PCI Geomatics is a leading geospatial software and solutions company with over 70 employees and 25,000 licenses installed worldwide. They provide powerful and scalable image processing solutions to extract information from satellite imagery such as SAR (Synthetic Aperture Radar) and LIDAR. Their capabilities include orthorectification, image classification, change detection, and digital elevation model extraction. They support a variety of sensors and applications in areas such as maritime surveillance, disaster response, and natural resource monitoring.
The document provides an overview of geographical information systems (GIS). It defines GIS as a system for capturing, storing, manipulating, analyzing and presenting spatial or geographic data. It describes the core components of GIS as hardware, software, data, people and methods. It outlines several applications of GIS in fields such as agriculture, natural resource management, transportation, military, business and more. It also discusses concepts such as data types, map scale and resolution, and key GIS terminologies.
The document provides an overview of geographical information systems (GIS). It defines GIS as a system for capturing, storing, manipulating, analyzing and presenting spatial or geographic data. It describes the core components of GIS as hardware, software, data, people and methods. It outlines several applications of GIS in fields such as agriculture, natural resource management, transportation, military, business and more. It also discusses concepts such as data types, map scale and resolution, and provides examples of GIS terminology.
2018 GIS in the Rockies Vendor Showcase (Wed): Laser GIS for Everyone Elimina...GIS in the Rockies
Learn about the new laser offset mapping workflow within Esri Collector for ArcGIS. Understanding how the rapid advances in GIS technology have created an opportunity for
you to do more with less. By integrating lasers with smart devices, mobile mapping apps and GPS/GNSS devices that you might already own, you can maximize productivity with an immediate ROI. The variety of measurement functions laser rangefinders can provide will allow you to complete field tasks quicker and safer.
Augview presentation GE user conference bali 2014 - MIke BundockGeo AR Games
This presentation is available as a You Tube video with Mike Bundock, CEO and founder of Augview. http://youtu.be/uQX_XMnjfng?list=PLhXjq-hI-gjCsDc1pfqLIOYODK4he2U92
Our solution provides total mapping and statistics solutions for plantations using unmanned aerial vehicles, GNSS, photogrammetry, and GIS. Key steps include acquiring high-resolution imagery via UAV, extracting geospatial data on plantation assets like roads and palm counts, and managing the data in a GIS database for uses like resource allocation, yield forecasting, and monitoring financial performance. The company offers UAV aerial survey packages for tasks like monitoring, general mapping, creating base maps, and topography extraction to support plantation management needs.
Adoption of precision farming technologies in pakistanWaqas Javed
Precision agriculture (PA) is an approach to farm management that uses information technology (IT) to ensure that the crops and soil receive exactly what they need for optimum health and productivity. The goal of PA is to ensure profitability, sustainability and protection of the environment. PA is also known as satellite agriculture, as-needed farming and site-specific crop management (SSCM).
This document discusses 5-sense computing in robots for remote monitoring applications. It describes how giving robots human-like senses such as sight, hearing, smell, taste and touch would allow them to be used for remote inspection in hazardous environments. Current robotic sensing capabilities are outlined and examples of using multi-sensory robots for remote quality control, tank inspections and underground mine monitoring are provided. The networking requirements for transmitting multi-sensory data from robots in real-time are also summarized.
This document provides an introduction and overview of geographic information systems (GIS). It defines GIS as a set of tools used to collect, store, manipulate, analyze and display spatial data. A GIS integrates hardware, software and data to capture, store, update, manipulate, analyze and display all forms of geographically referenced information. The document discusses the components of a GIS including hardware, software, data, procedures/analysis and personnel. It also outlines common GIS data formats, sources, applications in various fields, and functions such as location-allocation analysis.
This document provides an introduction and overview of geographic information systems (GIS). It defines GIS as a set of tools used to collect, store, manipulate, analyze and display spatial data. A GIS integrates hardware, software and data to capture, store, update, manipulate, analyze and display all forms of geographically referenced information. The document discusses the components of a GIS including hardware, software, data, procedures/analysis and personnel. It also outlines common GIS data formats, sources, applications in various fields, and functions such as location-allocation analysis.
How Satellogic uses AI to understand the world to provide knowledge to our clients using satellites. The presentation was done at the Barcelona CitiAi meetup in January 2019.
results of FieldFact project (EU FP6) concerning relevant EGNOS precision based applications for European agriculture. Three applications show how EGNOS and precision agriculture are critical instruments in transforming agriculture into a sustainable sector.
This document discusses apps, maps, and drones for forest landowners and managers. It provides an overview of mapping and logging apps that can be used with GPS receivers and drones for forestry applications like inventory, inspections, and mapping. Specific apps and hardware are highlighted, such as the 4Loads logging app and Trimble PG200 GPS. It also reviews the desktop mapping program Terrain Navigator Pro and current FAA regulations for commercial drone use.
This document discusses open geospatial data, standards, and software. It begins by introducing OpenStreetMap, an open crowd-sourced map of the world. It then discusses how OpenStreetMap data has been used for humanitarian efforts. Next, it outlines several open geospatial data standards and services for finding, rendering, and processing map data. Finally, it promotes open source geospatial software projects like OSGeo Live, an open source geospatial software distribution with over 60 applications.
Performance and Application of GIS and Big Data ETL Processes Using FMESafe Software
This presentation will describe the process and results of a project, which was conducted as a graduate-level capstone project for Johns Hopkins University, that utilized both FME Desktop and FME Cloud to manipulate approximately one terabyte of Landsat imagery. The purpose of the project was to expose the advantages and disadvantages of using local resources, cloud technology, and Big Data Software to view, process, and manipulate large amounts of geospatial data. This was executed by designing, testing, and analyzing various configurations of development and production environments, ranging from entirely on-premises to entirely in the cloud. The control process was developed in FME Workbench that reads and processes single-band Landsat imagery and metadata text files and outputs composite images using 11 common band combinations. Through a series of case studies, three main variables were examined: (1) location of and method of accessing source data, (2) location of system processing – locally verses in the cloud, and (3) file format and target destination of the output data. The successfulness of each case study was determined through analyzing a common set of success criteria, which includes: Total Processing Time, Ease of Setup, Cost, Ease of Viewing and Querying Results, Local System Requirements, and Network Requirements.
This document discusses developments in big geodata and its role in GIS. It encourages students to pay closer attention to data aspects of GIS and gain experience with large geodata sets. The presentation explains how data collection is changing from expert-driven and closed to crowd-sourced and open. Examples of big geodata sources include sensor data, social media, and the Internet of Things. Tips are provided for students to explore big geodata through MOOCs and recommended readings.
Urban big data are increasingly being used in urban GIS research. This presentation, developed for an introductory GIS course, introduces the seven V's of big data: volume, variety, velocity, veracity, value, visualization, and variability. Major sources of urban big data include sensor systems, user-generated content, administrative systems, private sector data, humanities data, and hybrid data. These categories and the seven V's are illustrated with six examples of cutting-edge urban big data research: the Array of Things sensing network, Austin bike data, analysis of London's transport network, scraping Craigslist to analyze rental housing, the Mapping Inequality Project, and the EPA Smart Locations Database. The presentation concludes with a discussion of critiques surrounding the use of big data.
THT10839_OpenWorldSF2015 CSP Location Data Monetization V1.0Srini Alavala
This document discusses how telecommunications companies can monetize location data from mobile subscribers. It describes how location and subscriber data is currently isolated in information silos within telecom companies. The document proposes integrating this data to develop new revenue streams from location-based services like real-time offers, advertisements, foot traffic analytics and location insights products. It presents Oracle's big data platform as an end-to-end solution to acquire, aggregate, anonymize and analyze telecom subscriber location data at scale to power these new monetization opportunities.
Dr. Stefan Radtke gave a presentation on the journey to big data analytics. He discussed how analytics is affecting many industries and the evolution of analytic questions from descriptive to predictive to prescriptive. He emphasized the need to collect all potential data from both traditional and new sources. A strategic approach was presented that aligns business and IT goals, identifies strategic opportunities, prioritizes use cases, and recommends an analytics roadmap. Dell EMC offers various services to help customers with their big data and analytics initiatives and solutions.
This document provides an overview of Google BigTable, including its motivation, key components, data model, and implementation. BigTable is a distributed storage system designed to scale to massive amounts of data across thousands of servers. It uses several Google technologies like Google File System for storage, Chubby for locking, and MapReduce for distributed processing. The document describes BigTable's data model of rows, columns, and timestamps, as well as its APIs, building blocks, load balancing structure, and compaction process.
WSO2Con USA 2017: Geospatial Big Data – Location Intelligence in Digital Tran...WSO2
This document discusses the evolution of geospatial technology and how location data is becoming more ubiquitous and integrated across various applications and sectors. Some key points:
- Geospatial data is increasingly heterogeneous, coming from diverse sources like sensors, IoT devices, and user-generated content. This data is also growing at a massive scale.
- Emerging technologies like stream processing enable real-time spatial analysis of high-velocity and continuous location-based data streams.
- Location data adds value to predictive analytics and optimization across various domains like transportation, utilities and more.
- API management and integration across sources allows for a unified view of geospatial information and encourages participatory business models.
- These trends
PCI Geomatics is a leading geospatial software and solutions company with over 70 employees and 25,000 licenses installed worldwide. They provide powerful and scalable image processing solutions to extract information from satellite imagery such as SAR (Synthetic Aperture Radar) and LIDAR. Their capabilities include orthorectification, image classification, change detection, and digital elevation model extraction. They support a variety of sensors and applications in areas such as maritime surveillance, disaster response, and natural resource monitoring.
The document provides an overview of geographical information systems (GIS). It defines GIS as a system for capturing, storing, manipulating, analyzing and presenting spatial or geographic data. It describes the core components of GIS as hardware, software, data, people and methods. It outlines several applications of GIS in fields such as agriculture, natural resource management, transportation, military, business and more. It also discusses concepts such as data types, map scale and resolution, and key GIS terminologies.
The document provides an overview of geographical information systems (GIS). It defines GIS as a system for capturing, storing, manipulating, analyzing and presenting spatial or geographic data. It describes the core components of GIS as hardware, software, data, people and methods. It outlines several applications of GIS in fields such as agriculture, natural resource management, transportation, military, business and more. It also discusses concepts such as data types, map scale and resolution, and provides examples of GIS terminology.
2018 GIS in the Rockies Vendor Showcase (Wed): Laser GIS for Everyone Elimina...GIS in the Rockies
Learn about the new laser offset mapping workflow within Esri Collector for ArcGIS. Understanding how the rapid advances in GIS technology have created an opportunity for
you to do more with less. By integrating lasers with smart devices, mobile mapping apps and GPS/GNSS devices that you might already own, you can maximize productivity with an immediate ROI. The variety of measurement functions laser rangefinders can provide will allow you to complete field tasks quicker and safer.
Augview presentation GE user conference bali 2014 - MIke BundockGeo AR Games
This presentation is available as a You Tube video with Mike Bundock, CEO and founder of Augview. http://youtu.be/uQX_XMnjfng?list=PLhXjq-hI-gjCsDc1pfqLIOYODK4he2U92
Our solution provides total mapping and statistics solutions for plantations using unmanned aerial vehicles, GNSS, photogrammetry, and GIS. Key steps include acquiring high-resolution imagery via UAV, extracting geospatial data on plantation assets like roads and palm counts, and managing the data in a GIS database for uses like resource allocation, yield forecasting, and monitoring financial performance. The company offers UAV aerial survey packages for tasks like monitoring, general mapping, creating base maps, and topography extraction to support plantation management needs.
Adoption of precision farming technologies in pakistanWaqas Javed
Precision agriculture (PA) is an approach to farm management that uses information technology (IT) to ensure that the crops and soil receive exactly what they need for optimum health and productivity. The goal of PA is to ensure profitability, sustainability and protection of the environment. PA is also known as satellite agriculture, as-needed farming and site-specific crop management (SSCM).
This document discusses 5-sense computing in robots for remote monitoring applications. It describes how giving robots human-like senses such as sight, hearing, smell, taste and touch would allow them to be used for remote inspection in hazardous environments. Current robotic sensing capabilities are outlined and examples of using multi-sensory robots for remote quality control, tank inspections and underground mine monitoring are provided. The networking requirements for transmitting multi-sensory data from robots in real-time are also summarized.
This document provides an introduction and overview of geographic information systems (GIS). It defines GIS as a set of tools used to collect, store, manipulate, analyze and display spatial data. A GIS integrates hardware, software and data to capture, store, update, manipulate, analyze and display all forms of geographically referenced information. The document discusses the components of a GIS including hardware, software, data, procedures/analysis and personnel. It also outlines common GIS data formats, sources, applications in various fields, and functions such as location-allocation analysis.
This document provides an introduction and overview of geographic information systems (GIS). It defines GIS as a set of tools used to collect, store, manipulate, analyze and display spatial data. A GIS integrates hardware, software and data to capture, store, update, manipulate, analyze and display all forms of geographically referenced information. The document discusses the components of a GIS including hardware, software, data, procedures/analysis and personnel. It also outlines common GIS data formats, sources, applications in various fields, and functions such as location-allocation analysis.
How Satellogic uses AI to understand the world to provide knowledge to our clients using satellites. The presentation was done at the Barcelona CitiAi meetup in January 2019.
results of FieldFact project (EU FP6) concerning relevant EGNOS precision based applications for European agriculture. Three applications show how EGNOS and precision agriculture are critical instruments in transforming agriculture into a sustainable sector.
This document discusses apps, maps, and drones for forest landowners and managers. It provides an overview of mapping and logging apps that can be used with GPS receivers and drones for forestry applications like inventory, inspections, and mapping. Specific apps and hardware are highlighted, such as the 4Loads logging app and Trimble PG200 GPS. It also reviews the desktop mapping program Terrain Navigator Pro and current FAA regulations for commercial drone use.
Naiomi Borger, Director of Information Systems at Precision AI tells us all about her company's AI and drone technology and how that tech will impact the ag sector in the future.
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.
Niruthi provides data analytics and technology solutions like satellite imagery, drones, weather stations and mobile apps to monitor crops, assess yields and damage, and provide location-specific climate data and expert advisories to help insurers, agencies and farmers. Their CropSnap mobile app uses photos of crops translated through machine learning algorithms into crop yield estimates, providing a low-cost and scalable way to sample fields and reduce the need for in-person crop cutting experiments. Their experience in India includes creating historical climate and crop yield data, testing claims settlement at the village level, and reducing sampling costs for crop insurance programs in Maharashtra.
This corporate presentation summarizes PCI Geomatics as a leading provider of high-speed, scalable image processing solutions. It has over 80 employees, more than 25,000 licenses installed worldwide, and offices in Toronto, Gatineau, USA, and China. The presentation highlights PCI Geomatics' capabilities across the geospatial value chain, from image collection to value-added content. It also outlines the company's competitive advantages in processing speed, sensor agnosticism, and automated workflows.
This document provides an outline for a presentation on geospatial technologies including remote sensing, GPS, mapping, surveying, and GIS. It begins with an introduction to the geomatic umbrella and defines key geospatial concepts. It then discusses remote sensing platforms and sensors, and provides examples of agricultural and forestry applications. It also summarizes GPS systems and applications. The document defines mapping and surveying and provides examples. It concludes with an overview of GIS hardware, software, data, and functions and discusses example applications in emergency management, petroleum management, and utilities.
(Lidar) Pan Australia Topo Mapping Q1 2018Brett Johnson
This document summarizes a LiDAR mapping campaign by Total Earth Solutions in Australia. The campaign will collect data from up to 16 locations across Australia starting in Far North Queensland and finishing in Far North Queensland. The group shoot model and large area collections will allow for cheaper, safer, better, and faster data acquisition. Standard deliverables will include orthophotos, LAS files, DSMs, DTMs, contours and reports in various formats. The data will be viewed and shared in 3D using Pointerra. Data will be collected using a modern Optech Galaxy LiDAR sensor and camera system from a safe and efficient platform. Ground control surveys will utilize RTK systems. Multiple iterations of quality control and assurance will be performed
The document provides an overview of precision agriculture (PAg) concepts and implementation steps. It defines PAg as managing fields by the square meter using GPS and data to provide detailed knowledge of field variations. The key steps are: 1) collecting yield, elevation and soil data; 2) integrating the data to create management zones; 3) having the grower review zones and create input prescriptions with an agronomist. The goal is to exploit field variations spatially and temporally to optimize productivity while reducing environmental impacts.
Similar to GIS Barrier to Adoption by Southern Precision (20)
SPAA Precision Ag News magazine Vol 12 Issue 3 Winter 2016
SPAA is a non-profit independent membership based group formed in 2002 to promote precision agriculture in Australia. www.spaa.com.au Twitter: SPAA_EO, SPAA_DO
SPAA Precision Agriculture in Practise II Book in Case StudiesAmanda Woods
The document provides a guide for farmers on how to get the best results from using precision agriculture technologies at different stages of the crop cycle from pre-sowing to harvest. It discusses grower experiences implementing precision ag and provides technical information on various precision farming techniques. The goal is to help farmers understand how to apply precision ag to optimize crop yields and quality through effective nutrient, seeding, and chemical application.
Weed Sensing SPAA Precision Agriculture Factsheet 2016
SPAA is a non-profit independent membership based group formed in 2002 to promote precision agriculture in Australia. www.spaa.com.au Twitter: SPAA_EO, SPAA_DO
Airborne imagery taken from platforms like satellites, aircraft, and drones can provide high resolution digital images of crops and ground. These images include full color, color infrared (CIR), and vegetation indices like NDVI and SVI. Service providers process the images and land managers can use the data to monitor crop growth, health issues, and make management decisions. Key considerations before investing include the intended uses of the data, required image resolution, area to be mapped, and costs which vary by platform.
Controlled traffic farming (CTF) is a system that uses permanent wheel tracks to minimize soil compaction from farm vehicles. It involves matching the widths of farm equipment to the tracks to confine compaction. This allows 88% of the paddock to achieve higher yields with the same inputs. Case studies of four farmers who implemented CTF show benefits like improved soil structure and water infiltration, increased crop yields, reduced fuel use, and ability to work the paddocks sooner after rain. CTF requires operations to be done in straight passes up and down the field rather than circling. It can take several years to fully implement CTF but provides long term improvements to soil health and farm resilience.
Precision Viticulture FactSheet by SPAA Australia 2015Amanda Woods
Precision viticulture involves using technology to measure vineyard attributes and detect variability in order to improve vineyard management and wine production. It involves mapping soil variability using EM38 sensors, measuring canopy performance with sensors, and yield mapping. Establishing management zones based on variability allows for differential management of irrigation, pruning, and inputs tailored to soil type and vine performance in each zone.
PPMS: Cattle and Pasture Production without the sweat by Sally LeigoAmanda Woods
The document discusses a project called PPMS that uses satellite data to help cattle producers in Australia better manage their pastures and livestock. It provides three key points:
1) PPMS has been tested on 5 stations between 2013-2016, collecting data on pasture growth and cattle weights to help producers with supplementation timing and forecasting.
2) One station, Glenflorrie Station, is used as a case study where NDVI and livestock weight data from 2014 show correlations between pasture growth and average herd weights.
3) Producers can benefit from using this system to maximize kilograms of beef sold, improve timing of supplementation, and allow better budgeting and logistical management.
Big ideas for using data by Brett Whelan University of SydneyAmanda Woods
Brett Whelan presents on using data in precision agriculture. The development of precision agriculture has increased the volume and sources of data available. Using data can optimize production efficiency, quality, minimize business risk and environmental impact through data-driven decisions. Key components of using data include data generation, storage in data dormitories such as the cloud, and prescriptive agriculture using probabilistic models. Real-time adaptable decisions will involve integrating diverse data sources to improve sub-paddock management while optimizing whole business profitability and sustainability.
101 ways to make precision agriculture work in Qld vegetables Sarah Limpus, I...Amanda Woods
This document summarizes precision agriculture projects conducted on vegetable farms in Queensland, Australia. Commercial demonstration sites used yield monitors, proximal sensors, electromagnetic induction mapping and soil sampling to identify spatial variability in fields. Management zones were delineated and variable rate applications of lime, fertilizer and gypsum were used to treat soil variability, improving yields and saving on input costs. Challenges included optimizing yield monitors and data management. Future areas of focus include improving data analysis capabilities and implementing traceability systems.
Pest & Disease Survelliance & New Technologies by Rohan KimberAmanda Woods
This document discusses new opportunities for pest and disease surveillance using technologies such as smart traps and airborne spore trapping. Smart traps using pheromones, cameras, and sensors could detect endemic or exotic insects and transmit data in real-time. Airborne spore traps currently use adhesive tapes to capture fungal spores, but new automated traps are being developed and tested that could identify pathogens on-site using techniques like LAMP and fiber optic sensing. Mobile sampling devices are also proposed to map spore dispersal across regions. The document outlines several research projects testing prototypes from Burkard and Rothamsted Research to develop integrated surveillance networks for early detection of agricultural threats.
Real-time pasture biomass estimation by Karl AnderssonAmanda Woods
This document discusses a project to develop methods for real-time pasture biomass estimation using active optical sensors (AOS). The goals are to evaluate AOS potential, develop calibrations for producers, and create a mobile app. Over 200 calibration samples across species and regions were collected. Preliminary results found height was often the best covariate. Two and three band sensor models improved correlations compared to NDVI alone. Future work includes integrating weather, satellite, and LiDAR data to validate estimates across more conditions. A mobile app would support producers using AOS for pasture management decisions.
Evaluating satellite remote sensing as a method for measuring yield variabili...Amanda Woods
Evaluating satellite remote sensing as a method for measuring yield variability in Avocado and macadamia tree crops by Andrew Robson et. al. PARG UNE, NSW. Presented at SPAA Symposium Sep 2016.
Precision Agriculture Apps and MappingAmanda Woods
This document discusses various apps that can be used for viticulture management and analysis. It summarizes several apps including PMapp, a powdery mildew assessment tool, and VitiCanopy, a tool for measuring leaf area index and assessing vineyard canopies. It provides screenshots and descriptions of the features and functions of these apps. It also mentions some general scouting, recording, and tracking apps as well as apps for tasks like speed calibration. The document concludes by suggesting to keep searching for other apps that could be useful.
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
"Financial Odyssey: Navigating Past Performance Through Diverse Analytical Lens"sameer shah
Embark on a captivating financial journey with 'Financial Odyssey,' our hackathon project. Delve deep into the past performance of two companies as we employ an array of financial statement analysis techniques. From ratio analysis to trend analysis, uncover insights crucial for informed decision-making in the dynamic world of finance."
Orchestrating the Future: Navigating Today's Data Workflow Challenges with Ai...Kaxil Naik
Navigating today's data landscape isn't just about managing workflows; it's about strategically propelling your business forward. Apache Airflow has stood out as the benchmark in this arena, driving data orchestration forward since its early days. As we dive into the complexities of our current data-rich environment, where the sheer volume of information and its timely, accurate processing are crucial for AI and ML applications, the role of Airflow has never been more critical.
In my journey as the Senior Engineering Director and a pivotal member of Apache Airflow's Project Management Committee (PMC), I've witnessed Airflow transform data handling, making agility and insight the norm in an ever-evolving digital space. At Astronomer, our collaboration with leading AI & ML teams worldwide has not only tested but also proven Airflow's mettle in delivering data reliably and efficiently—data that now powers not just insights but core business functions.
This session is a deep dive into the essence of Airflow's success. We'll trace its evolution from a budding project to the backbone of data orchestration it is today, constantly adapting to meet the next wave of data challenges, including those brought on by Generative AI. It's this forward-thinking adaptability that keeps Airflow at the forefront of innovation, ready for whatever comes next.
The ever-growing demands of AI and ML applications have ushered in an era where sophisticated data management isn't a luxury—it's a necessity. Airflow's innate flexibility and scalability are what makes it indispensable in managing the intricate workflows of today, especially those involving Large Language Models (LLMs).
This talk isn't just a rundown of Airflow's features; it's about harnessing these capabilities to turn your data workflows into a strategic asset. Together, we'll explore how Airflow remains at the cutting edge of data orchestration, ensuring your organization is not just keeping pace but setting the pace in a data-driven future.
Session in https://budapestdata.hu/2024/04/kaxil-naik-astronomer-io/ | https://dataml24.sessionize.com/session/667627
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
6. Definition – what is GIS?
Geographic Information Systems
ESRI – Environmental Systems Research Institute (1969)
A digital representation of the real world
Enables presentation, assessment, analytics etc. of spatial info.
Data collection – points, lines, polygons, raster, grid
Data presented in layers
“Attributes” can be compared and cross referenced in space
So what kinds of vineyard items, events, features would we want to present?
7. Points – Lines - Polygons
Examples from my personal experience...
Sampling locations (moisture probes, crop estimate and maturity sampling)
High vigour or high “potential” vines (SPAA Factsheet)
Underperforming vines
Disease Infection & severity (investigation of causal relationships)
Broken Posts (efficiency, accurate budgeting, targeted installation)
Dripper Blowouts (easy to return to the same location)
Weeds (proclaimed weeds, multi – season treatment, area to spray)
Location of Infrastructure (reduce time wastage, proximity alarms)
Reporting (VR application, coverage maps, spray diaries)
Whatever you need or can imagine...
8. • 84 vines required training
• location identified
• Primarily in west of vineyard... why?
• Prioritise effort & estimate cost – all without leaving the desk and data collected for free
Points – Lines - Polygons
15. Making it work – choosing a GIS Package
Consider your needs…
Will you be actively collecting data? What type?
Will you be doing any analysis i.e. visual trends, gross margin mapping?
Will you be creating coverage maps or looking at vehicle telemetry?
Will you be using imagery or continuous rasters i.e. yield maps?
Budget, tools, compatibility – inputsoutputs
16. Making it work – GIS Packages
GIS Requires a commitment of time and resources…
17. Simple to use platforms
https://www.micasense.com/atlas/
https://www.propelleraero.com/
http://www.platfarm.com/
Because there’s more important things to be getting on with!
18. The Future…
“What we’re doing is trying to make the technology fully autonomous
and develop the right algorithms so we can not only capture the
information, but understand it.”
https://pursuit.unimelb.edu.au/features/digital-vineyards