#29 SUSB Expo 2014 PIX4D

Pix4D is a software development company that creates Pix4Dmapper, leading professional mapping software for UAV, aerial, and ground imagery. Pix4Dmapper is used globally by thousands of professional surveyors, engineers, agronomists, and photogrammetrists. Pix4D also works with UAV manufacturers to ensure compatibility with leading sensors and autopilots. Their software allows both professional and prosumer drones to create accurate maps, models, and measurements that can be used for applications such as agriculture and construction.

Pix4D - Agro Innovations Forum 2018 by DroneUA

DroneUA Iakovenko

8 июня в рамках выставки Агро-2018 прошел Международный форум аграрных инноваций «Agro Innovations Forum 2018».Это первое мероприятие такого формата организованное DroneUA.Форум состоялся при поддержке Министерства аграрной политики и продовольствия Украины и Агентства «Бизнес Франс» при Посольстве Франции в Украине.

UAS RMUASP Meetup with PIX4D

The summary discusses the RMUASP April Virtual Meetup agenda and announcements. It mentions that several in-person events were postponed due to COVID-19, including the Spring UAS Round Up in April and Xponential in May. Pix4D then presented on their new photogrammetry products, including Pix4Dmapper, Pix4Dreact, Pix4Dfields, Pix4Dsurvey, Pix4Dmatic, Pix4Dscan, and Pix4Dinspect. They also discussed their training platform and opportunities for certification.

Point Clouds from Rolling Shutter Cameras

Christoph Strecha

This document discusses point clouds generated from images taken with rolling shutter cameras on consumer drones. It contains the following key points: 1) Pix4D software can model geometric distortions from rolling shutter cameras to improve mapping accuracy, allowing drones to be flown at higher speeds. 2) Experiments show rolling shutter modeling improves results for all rolling shutter cameras, bringing accuracies to the usual 2-3 pixel range. It does not negatively impact accuracy for global shutter cameras. 3) Accuracy from rolling shutter modeling increases with drone flight speed, and global shutter cameras tend to be slightly more accurate than rolling shutter cameras.

Generation of high resolution DSM using UAV Images

Nepal Flying Labs

A final year project by Geomatics Engineering Students at Kathmandu University,Dhulikhel,Kavre. All the datasets required for this project have been downloaded from the popular Trimble Company.This project makes use of 27 high resolution (2.4 cm average spatial resolution) UAV-acquired images of a sand mine at Tielt-Winge, Belgium . These images have been acquired by a Sony Nex-5R digital camera mounted on a Trimble UX5 Imaging Rover, a fixed wing UAV. Three software: LPS, AgiSoft PhotoScan and PIX4D were used for image processing. The team members: 1.Uttam Pudasaini : utmpudasaini@hotmail.com 2.Niroj Panta : sadrose777@gmail.com 3.Biplov Bhandari : bionicbiplov45@gmail.com 4.Upendra Oli : Upendraoli@gmail.com

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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.

2nd Galileo Android Hackathon intro

This document introduces GNSS raw measurements that are available on Android smartphones through the android.location API. It discusses two main GNSS APIs - android.gms.location which simplifies positioning for applications but focuses on battery life, and android.location which gives access to more detailed GNSS observations at the cost of increased battery usage. Applications that could make use of raw GNSS measurements on smartphones include crowdsourcing, low-cost reference networks, and improving positioning in urban areas. Sample code is provided showing how to access raw observations and calculate a position from them.

This document discusses Android's new GNSS API in version 24+, which provides raw GNSS data and enables more accurate positioning than previous APIs. It notes that while Google has released MATLAB code to work with this raw data, a Python library does not yet exist. The goal is to create an open-source Python library that abstracts calculations and can be used across various domains like data science, development, and research to improve positioning in areas like urban environments.

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Total Earth Solutions is a specialist consulting firm providing aviation, geological, geophysical and geospatial services to the petroleum and mining industries. They aim to offer a complete turnkey service including planning, managing and interpreting surveys to create detailed analyses. They differentiate themselves by focusing on interpretation of geophysical and geospatial data as well as safely managing airborne and ground survey operations. Total Earth Solutions has experience in acquisition, processing and interpretation of data collected from various sources to provide insights for exploration, mining, infrastructure and other industries.

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This document discusses how Geographic Information Systems (GIS) are being used to maximize economic recovery in the UK oil and gas industry. It provides an overview of the Oil and Gas Authority (OGA), their role in coordinating industry data and maps, and how they have improved data sharing and access through their GIS systems. Key points include transitioning data to standardized formats, building authoritative databases, implementing ArcGIS Server and Portal for internal and external use, and developing interactive maps and applications that have increased access and engagement with industry stakeholders. The goals are to continue improving data quality and availability to better inform decision making.

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This document summarizes a project investigating the use of GIS software for weather forecasting applications. The project was completed for Scotia Weather Services Inc., which provides weather forecasting services and wants to use GIS to analyze how weather events could impact the power grid. The project used QGIS and ArcGIS to process wind speed data into maps of wind gust speeds at power line pylon heights. The outputs identified regions where wind speeds exceeded thresholds that could affect transmission lines. While QGIS is free and open source, the analysis found ArcGIS scripts were more stable and better documented than PyQGIS scripts.

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Eduard Noble, Jr.

R.C. Tollo Surveying Services (RCTSS) is a land surveying and geomatics firm with a vision to be the preferred provider in the Philippines and Southeast Asia. [RCTSS has over 12,000 hectares of surveying experience and has established over 1200 geodetic control points.] RCTSS aims to provide superior quality services through project management best practices and a commitment to safety. The company offers various specialized surveying services including cadastral, topographic, utility and pre-engineering surveys using technologies such as drones, terrestrial laser scanning, and satellite imagery.

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The problem with unforgiving schedules is that it allows little to no room for error. Unfortunately, when errors do occur it can be catastrophic to a project. As was the case with Juniper Unmanned’s client, a global renewable energy company that develops, constructs, and operates wind farms, solar fields, and energy storage facilities. In March of 2018, Juniper’s client found themselves in a predicament that began with defective land surveys and compounded into a compressed project schedule, deployed personnel, expensive heavy machinery sitting idle. The defective surveys, forty-four in total, were for access roads and pad sites for a wind farm development in Kansas. Logically, the surveys needed to be re-done immediately. Traditional survey methods would take three to four weeks to complete, which didn’t solve the immediate problem of deployed personnel, heavy machinery, dissolving budgets, and diminishing schedules. Juniper Unmanned rapidly deployed its field operations team, equipped with unmanned aircraft systems), LiDAR sensors and GPS base stations. Four days and 30 UAS flights later, the data acquisition was complete. The client was delivered a 1’ contour map and accompanying topographic surface the following week. These deliverables enabled the client’s excavators and personnel to begin cutting in new access roads and pad sites for the wind farm project. The use of Juniper’s UAS LiDAR sensing and analytics solutions helped the client get the project back on track with minimal scheduling and budgeting impacts.

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This document summarizes scanning, mobile mapping, and aerial imaging solutions from Gulf Positioning Systems for monitoring and managing quarry and mining operations. It describes static laser scanning using a Trimble TX8 scanner, mobile spatial mapping with a Trimble MX2 system, and aerial imaging with a Trimble UX5 HP drone. Gulf Positioning provides end-to-end solutions including data collection, processing, analytics and management services to increase efficiency and profitability.

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As part of the digital engineering solution for Lower Thames Crossing a targeted three-step process has been developed to collect, manage and validate ground information for dissemination across the project. Join this session to understand how Arcadis are using the ArcGIS platform to provide a system of engagement across the project from data capture in the field to dissemination of relevant information to all stakeholders.

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Smart Mapping - How to Create Stunning Maps - Esri UK Annual Conference 2016

Smart Mapping is a new Esri technology that creates maps automatically by using intelligent defaults, visible scale ranges, and scale-aware styling to simplify the map making process. It analyzes data and applies the right symbology and visualization at the appropriate map scale, allowing users to generate stunning maps quickly without compromising cartographic design. The presentation demonstrated how Smart Mapping works across Esri platforms and concluded with information on upcoming Smart Mapping features and resources for learning more.

Generation of High Resolution DSM Using UAV Images.

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Get more from your UAV Imagery

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UAV imagery processed through SfM software yields ortho mosaics that can be then analyzed further. Automated image alignment makes time series analysis possible. Find out how Geomatica can be used to help you get more from imagery. From LAS point cloud interpolation, image to image alignment, vegetation assessment, stockpile measurement, and more. Geomatica also includes a python powered development platform making it the best option to extend processing capability to develop operational applications.

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This document discusses remote sensing techniques for monitoring crop health and stress. It includes figures showing RGB vs NDVI maps, the absorption spectrum of chlorophyll, Landsat satellites, analyzing NDVI data in software, converting a camera to near infrared, thermal images of cotton, an agricultural drone, intercept and slope values for correlating NDVI to crop yield in various crops, examples of vapor pressure deficit for soybeans, a thermal imaging camera, and an NDVI image indicating drainage issues. References are provided for the topics discussed.

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This document discusses NDVI (Normalized Difference Vegetation Index), beginning with an overview of the presentation agenda, which includes discussing NDVI standards, calculations, comparing NDVI from different sources, challenges in applying NDVI data quickly, and whether NDVI is an expensive trend. It then notes that while no single NDVI standard exists, standard practices have been developed by various universities and NASA. It also provides background on the speaker, Steve Caldwell, who lives and works on a farm in Oregon and has experience in agriculture, technology, and public speaking.

Zhang UAV at USCID

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This document discusses using an unmanned aircraft system (UAS) for precision irrigation applications and feasibility studies. The UAS can provide high-resolution RGB, thermal, and multi-spectral imagery to estimate crop evapotranspiration and soil water deficit. Test flights were conducted over corn fields and a plant variety garden to collect imagery. Formulas are presented to calculate evapotranspiration, crop water stress, soil water depletion, and other variables. Challenges encountered included operating the fixed-wing UAS, processing thermal imagery, and the need for diverse operation crews.

Accurate Vineyard Mapping for Mgmt & Marketing

WalterMoody

Ray Carlson & Associates provides vineyard GIS and remote sensing services to increase accuracy, quality, and profits for vineyards. They collect and analyze extensive agricultural data for their clients, including information on herbicides, pests, water use, harvest yields, and more. Using GIS, they are able to better plan vineyard operations, improve decision making, and tell the story of terroir for marketing purposes. Their services also help vineyards achieve sustainability certifications and precisely map vineyard blocks to support precision agriculture.

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Study of-ndvi-land-surface-temperature-using-landsat-tm-data

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This document describes using Landsat TM data to calculate the Normalized Difference Vegetation Index (NDVI), land surface emissivity (LSE), and land surface temperature (LST). It outlines the steps to calculate slope and radiance for bands 3, 4, and 6, then determine brightness temperature. Next, it explains how to derive LSE from NDVI and use this to calculate surface temperature using Planck's law. The goal is to study NDVI and LST for the Landsat image from March 7, 2010.

Sensor nutrient management swcs williams

Sensor-based nitrogen management techniques can help reduce nitrogen usage and costs for cotton farmers. The document outlines a study in Coastal Plain soils that found sensor-based methods reduced nitrogen application by 15-100 lbs/acre for cotton compared to farmer practices, saving $9-60/acre. Soil electrical conductivity mapping and plant nitrogen rich strips were used to identify management zones. Mid-season plant NDVI readings from sensors were calculated in an algorithm to determine variable-rate nitrogen applications, accounting for soil amendments and previous crops. Results showed no yield differences between farmer practices and sensor methods, indicating potential for sensor technology to cut nitrogen costs for cotton growers.

Remote Sensing with a Drone

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In this presentation I show my exploration into the use of a Drone, or Small Unmanned Aerial System (sUAS), to perform remote sensing. At a high-level I introduce the concepts to leveraging this platform to generate spatial data for use in a variety of disciplines. I generally discuss the process of collecting and processing data, displace the data generated, discuss a few advantages, and give my perspective on where this platform can be utilized.

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This document summarizes a study evaluating sensor-based nitrogen recommendations for spring wheat in Montana. Two sensors, the GreenSeeker and Pocket Sensor, were used to measure normalized difference vegetation index (NDVI) values at five experimental sites in order to determine topdress nitrogen fertilizer rates. The results showed strong relationships between NDVI values from the two sensors and spring wheat grain yields. However, the sensor-based nitrogen recommendations did not consistently optimize yields and sometimes recommended excessive nitrogen rates. Total nitrogen applied was most strongly correlated with yield, indicating sensor-based rates may need improvement to optimize productivity and profits.

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Presentation given to the Washington Water Science Center USGS Tacoma on December 16, 2015. Here I describe the potential for UAV usage to improve maps for citizen science! I will introduce methods of aerial imagery collection through the use of a low-cost and popular UAV systems. I will then focus on how to process the imagery to generate orthophotos and digital surface models (DSM) through the use of SfM software. I present decision considerations from beginning to end of a UAV mapping project. http://faculty.washington.edu/bricker0/uav.html http://wa.water.usgs.gov/seminar/seminar.html

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The document describes how to create indices in ERDAS Model Maker to highlight different land features in satellite imagery. It provides the formulas and instructions to build models to create the Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), Normalized Difference Turbidity Index (NDTI), Normalized Difference Pond Index (NDPI), and Modified Normalized Difference Water Index (MNDWI). For each index, it lists the band math formula used and explains that the output will highlight the targeted land features.

DSM Generation Using High Resolution UAV Images

Biplov Bhandari

This document outlines a project to create a digital surface model (DSM) using images acquired from an unmanned aerial vehicle (UAV). The project aims to develop a workflow for processing UAV images and generate a high-resolution DSM of the study area. The methodology involves collecting UAV images and ground control points, georeferencing the images, generating a dense point cloud through image matching, and creating the DSM. The accuracy of the DSM will then be assessed by comparing elevations to ground measurements. The results are expected to provide a georeferenced image processing workflow and a detailed DSM of the site.

Drones on the horizon: New frontiers for precision agriculture

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The world of unmanned aerial vehicles (UAVs) or drones has been the playing ground of security institutions for many years. Even though remote controlled UAVs have been around for a long time, the cost and complexity of miniaturized avionics made it prohibitively expensive to automate such small platforms. In the last few years this has changed dramatically. Commercialisation and mass production of cheap small avionics together with advances in software allowing three dimensional vision and remote image interpretation make it possible now to build a drone that can do centimetre precision spatial surveys on a surprisingly small budget. This opens a slew of possibilities in the application of precision agriculture.

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Rob Thompson has extensive experience in aviation and unmanned aircraft systems. He started Falcon Foundation UAS LLC in 2017 to work in the energy sector and advocate for UAS STEM education and counter-UAS technology. Thompson sees similarities between challenges of controlling unmanned aircraft in 1944 and modern issues with command and control links, traffic management, and equipment needs. He formed the CUAS Coalition to develop better counter-UAS technology that could help address public safety concerns and reduce pressure for regulations. Thompson has a background in commercial aviation operations, aircraft maintenance and certification, and participated in early FAA studies on pilot communication and avionics design.

gene engelgau - 2018 Small Unmanned Systems Business Exposition

This document provides an overview of parachute recovery system (PRS) requirements for flying drones over people. It discusses that PRS systems can limit impact energy to less than 50 joules as recommended by FAA studies to minimize injury risk. The certification process requires flight testing a PRS integrated with a drone as a system. A PRS generally requires a parachute, deployment system, automatic trigger for problems, and a flight termination system to stop rotors upon deployment. Choosing the right PRS considers factors like weight, strength, deployment characteristics, and reliability through certification testing.

Mike Blades - 2018 Small Unmanned Systems Business Expo Presentation

This document summarizes the commercial drone market in 2018. It discusses trends driving growth in the market such as falling costs and increased flexibility of drones. The document outlines the development of the drone ecosystem from early companies to full-stack solutions. It presents forecasts for the commercial drone market that are higher than FAA predictions. The document concludes by discussing emerging trends like automated fleets and opportunities in data services and security.

Justine Harrison - 2018 Small Unmanned Systems Business Expo Presentation - W...

This document discusses legal and regulatory developments impacting the commercial drone industry. It outlines current federal and state laws governing drones, as well as ongoing lawsuits. Two proposed bills on the federal level that would impact drones are described. The document then discusses ways for drone companies to identify and mitigate legal risks, including through corporate structure, contracting, insurance, and operational procedures. It concludes with checklist of legal considerations for drone companies.

UAS and Public Safety

This document discusses unmanned aerial systems (UAS) and public safety. It covers how UAS present risks that need to be mitigated through policy enforcement, education, and emerging technologies. The author provides their contact information and encourages reporting suspicious UAS activities to the Northern California Regional Intelligence Center. Accomplishments include linking UAS policy to enforcement and addressing cyber threats. Looking ahead, continued work on customizing responses, securing data, and counter-UAS is needed as the drone industry and hobbyist groups grow.

Transport Risk

This document provides information about unmanned aerial system (UAS) insurance. It discusses what is covered by UAS insurance policies and what is not covered. It also explains different types of coverage included in UAS policies, such as aircraft liability, contractual liability, and premises liability. The document provides details on policy terms, conditions, pilots covered, territory covered, and premium payment requirements. It emphasizes the importance of selecting an experienced UAS insurance broker and insurer.

Dpi why training

This document discusses drone pilot certification and training. It encourages pilots to train professionally through a program that provides 100 hours of training, recertification, safety procedures and emergency testing to achieve competence across four stages - from unconscious incompetence to unconscious competence. The training is developed by public safety professionals and aims to produce pilots with experience in mission flying and emergency procedures through a structured competency-based program.

Allegory Of The Hangar

This document discusses the state of the commercial drone industry and issues surrounding regulation. It notes that some major drone manufacturers have lost over $100 million while others are struggling. It questions whether the drone registration task force missed the mark and if risks have been properly defined. The document advocates for defining performance-based standards, standardizing waivers, and determining where and how much universal traffic management is needed to safely integrate drones into the national airspace. It calls for data-driven decisions and defines questions around implementing a universal traffic management system.

Full saturation

This document discusses various stakeholders involved in drone integration including toy companies, drone dealers, end users, standards organizations, and regulators. It notes the transition from remote piloting to greater automation and declining costs of drone technologies like cell phone tower inspections. Several challenges are mentioned such as a lack of coordination among advocacy groups and standards bodies. Potential solutions proposed include a forensic review of current efforts, establishing priority projects, and expanding drone pilot training programs to involve more of the country.

SARP 2016

This document discusses establishing risk thresholds and best practices for small unmanned aircraft systems (sUAS). It proposes starting with a weight threshold of 250 grams and working incrementally upward. Research should evaluate material densities and develop mitigators for different weight categories. Best practices developed by the sUAS community could help mitigate risks by providing checklists and emergency procedures. The document raises questions about developing an engineering code of ethics, independent kinetic energy research, software certification for heavier drones, and appointing a drone integration leader.

SU Business Expo-2015 - Jonathan Downey

Jonathan Downey is the founder and CEO of Drones for the Enterprise, a company that provides drone solutions for enterprises. Drones can inspect cell towers and power lines 3 times faster than traditional methods, saving time and money while improving safety. Drones for the Enterprise develops customizable solutions that integrate with clients' existing workflows and provide actionable data insights while meeting compliance, reliability, and training needs for different applications and industries.

Paola Santana, Matternet

Matternet aims to connect rural and urban communities through small flying vehicles and cloud software. By leveraging breakthroughs in autonomous flight and cloud technology, Matternet hopes to provide an affordable logistics solution to reach the billions of people currently disconnected or struggling with inefficient first/last mile delivery, with an estimated energy cost per mile of just $0.24. However, realizing this vision will require overcoming significant technical and regulatory challenges.

Patrick Egan, sUAS News

Over the past 23 years, regulations for integrating small unmanned aerial systems (sUAS) into the national airspace system (NAS) have progressed through studies on visual acuity, kinetic energy risks, and beyond visual line of sight (BVLOS) operations. While the 2012 FAA Reauthorization Bill and 2014 NTSB ruling moved integration forward, full regulatory approval for commercial BVLOS operations is still years away. Business operators are advised to consult legal teams and liability insurers to ensure plan compliance as technology like sUAS continues converging across industries.

Austin Jensen, AggieAir

This document discusses a remote sensing unmanned aerial system (UAS) designed for scientific applications. The UAS can launch and land from anywhere, flies fully autonomously, and collects visual, near-infrared, and thermal data to support science and natural resource management. Specifically, it aims to map nitrogen levels in crops 5 weeks after germination and during flowering, as well as measure top and root zone soil moisture content. Its goals are to deliver timely, actionable information within 12 hours that covers a minimum of 2500 acres from an altitude of at least 1000 feet above ground level.

Claudia Spinnato, Panoptes

The document discusses using drones equipped with thermal and visible light cameras called mT-Panoptes to conduct inspections of solar farms. Some key points: - mT-Panoptes can detect overheated panels and components using thermal imaging to find issues not visible to the naked eye. - It uses both thermal and visible light cameras simultaneously to cross-reference findings and clarify observations. - On-board software automatically geotags readings and generates a report mapping any anomalies detected, saving significant time over manual post-processing.

Dave Kroetsch, Aeryon

Dave Kroetsch presented on using small unmanned aerial systems (sUAS) for infrastructure inspection. He discussed the challenges of power line inspection using manned aircraft or climbing towers, and how sUAS can overcome these challenges by maintaining a safe standoff distance while still providing high-resolution imagery. Examples were given of using Aeryon Labs' SkyRanger sUAS equipped with an HDZoom30 camera to inspect power lines from hundreds of feet away. The sUAS solution allows for safer, more efficient inspections compared to traditional methods.

Marque Cornblatt, Game of Drones

Vijay Persaud, Riegl

1. UAV technology has advanced from remotely piloted vehicles in the 1980s to fully autonomous systems today. 2. UAVs are a cost-effective tool for aerial data acquisition, with lower costs than manned aircraft due to cheaper fuel, no pilot expenses, and easy mobility. 3. RIEGL has developed the RiCopter UAV integrated with the VUX-SYS laser scanning system, allowing for accurate and efficient 3D data collection over a wide field of view from UAV platforms.

Douglas Marshall, TrueNorth Consulting

The document discusses the objectives and approach of the sUAS Standards Development Task Group, which aims to finalize draft standards related to design, construction, testing, production, and quality assurance for small unmanned aircraft systems (sUAS). The Task Group will work to ensure the standards are acceptable to the FAA and provide affordable, reliable solutions for industry and users. It outlines the Task Group's core team, constraints including FAA guidelines, and process for developing consensus standards through multiple ballots and revisions in alignment with the FAA's Notice of Proposed Rulemaking.

Josh Kornoff, Allied Drones