Valuable New Information for Precision Agriculture. Mike Ritter Founder & CEO - SLANTRANGE, Inc.
|
|
- Hilda Murphy
- 5 years ago
- Views:
Transcription
1 Valuable New Information for Precision Agriculture Mike Ritter Founder & CEO - SLANTRANGE, Inc.
2 SENSORS Accurate, Platform- Agnostic ANALYTICS On-Board, On-Location SLANTRANGE Delivering Valuable New Information for Agriculture Data Analytics Information Stress Detections Crop Populations Weed Pressure Growth Metrics Health Trends Forecasts
3 What Provides Information Value? Information Needs are Diverse Must Be Accurate, Repeatable, Reliable Delivered at the Right Time, Place, and Cost
4 How Can Remote Sensing Deliver Valuable Information? Silicon InGaAs HgCdTe InSB
5 Slow & Low Platforms Deliver New Opportunities for Greater Information Value ON-DEMAND INTELLIGENCE Distributed Collection Nodes RESOLUTION suas Image Landsat Pixel CLOUDS & ATMOSPHERE Spatio-Spectral Computer Vision Varying Illumination Conditions
6 PATENT PENDING Solar Irradiance, W / (m 2 * nm) Reflectance Non-Directional Solar Irradiance Spectrometers SLANTRANGE Introduced Band- Matched Solar Irradiance Sensors in 2014 wavelength (nm) An Essential Step for Data Accuracy & Validity Reflectance Spectrometers Healthy Stressed wavelength (nm)
7 PATENT PENDING Satellite (75 cm) Manned Aircraft (20 cm) Unlocking the Real Value of Improved Spatial Resolution Small Drone (< 2 cm) Small Drone (< 2 cm) specular reflections SLANTRANGE soils weeds shadows
8 Weeds Growing Beneath Orchard Canopy What Are You Actually Measuring? Example: Spatio-Spectral Data Filtering to Assist HLB Detection in Citrus CORRECTED UNCORRECTED Shadows
9 Stress Map Infestation Map Training Algorithms to Distinguish Vegetation Types Training to Classify Example: Classifying Noxious Weed Infestation in Alfalfa
10 Training Algorithms to Detect Lodging Example: Lodging in Canola
11 PATENT PENDING True Plant Counts Example: Enabling Growers to Measure Performance Against Plans
12 PATENT PENDING Corn Population (plants/acre) Weed Coverage (percent) True Plant Counts Example: Enabling Growers to Measure Performance Against Plans 0 18k 22k 26k 30k 34k 38k
13 Quantified Weather Damage Example: Enabling Accurate Insurance Claims Healthy Date: 06/12/14 Canopy: 53.0% Hail Damaged Date: 06/13/14 Canopy: 4.3%
14 A Mix of Information Layers to Address the Needs of the Grower Yield Potential Plant Stress Canopy Closure Crop Population Weed Population The Time Dimension: Forward & Backward Looks at Condition Trajectories Today s Status
15 The Mission The Traditional Collection & Processing Workflow Area = 160 Acres Location = 30 Minutes Away Sensor = 4x Narrowband Multispectral Spatial Resolution = 5.0 cm Altitude = 100 m Airspeed = 20 m/s Required Overlap = 80%???? Setup Fly Carry Data Upload & Wait, OR, Process on Workstation & Wait 60 Minute Flight 32.0 GB Raw Data
16 ?? Traditional Image Stitching Algorithms Are the Bottleneck Stitching/Mosaicking Spatial Correlation of Periodic Patterns Dynamic Scene Content Parallax Blending Compression Tiling Placement Accuracy Parallax Blending Compression
17 PATENT PENDING 80% Overlap 20% Overlap Innovative New Workflow That Works for Agriculture 10 60???? Setup Fly Carry Data Upload & Wait, OR, Process on Workstation & Wait 10 Setup 15 Fly 5 Process 4x Shorter Flight 4x Less Labor in Collection 16x Less Data to Manage
18 How do we increase area coverage? The Simplest Way to Increase Area Coverage 120 m 50 m FOV limited: Narrowband interference filters Viewing angle bias Parallax Increased battery power density? On-board recharging (hybrid)? Improved flight efficiency? Lighter weight? 4x less overlap? 40 Acres 160 Acres
19 Worldwide Broadband Access Delivering Technology Value To Where It s Most Needed Worldwide Computing Reach
20 New Technology to Produce More Valuable Information for Agriculture Accurate, Reliable Measurements Valuable New Information Processed in an Efficient and Scalable Way
Capture the invisible
Capture the invisible A Capture the invisible The Sequoia multispectral sensor captures both visible and invisible images, providing calibrated data to optimally monitor the health and vigor of your crops.
More informationCrop Scouting with Drones Identifying Crop Variability with UAVs
DroneDeploy Crop Scouting with Drones Identifying Crop Variability with UAVs A Guide to Evaluating Plant Health and Detecting Crop Stress with Drone Data Table of Contents 01 Introduction Crop Scouting
More informationGenerate Variable Rate Prescriptions Choosing a Computer to Run SlantView
Table of Contents SlantView User Guide Definitions Install SlantView Compatibility Licensing Basic SlantView Workflow Download Data Process Data View Data Save Data Share Data Automated Statistics Reports
More informationAn NDVI image provides critical crop information that is not visible in an RGB or NIR image of the same scene. For example, plants may appear green
Normalized Difference Vegetation Index (NDVI) Spectral Band calculation that uses the visible (RGB) and near-infrared (NIR) bands of the electromagnetic spectrum NDVI= + An NDVI image provides critical
More informationUAV Imagery and Data Management for Precision Agriculture. John Nowatzki Extension Ag Machine Systems Specialist North Dakota State University
UAV Imagery and Data Management for Precision Agriculture John Nowatzki Extension Ag Machine Systems Specialist North Dakota State University UAS in Precision Agriculture NDSU UAS & Sensing Activities
More informationMULTISPECTRAL AGRICULTURAL ASSESSMENT. Normalized Difference Vegetation Index. Federal Robotics INSPECTION & DOCUMENTATION
MULTISPECTRAL AGRICULTURAL ASSESSMENT Normalized Difference Vegetation Index INSPECTION & DOCUMENTATION Federal Robotics Clearwater Dr. Amherst, New York 14228 716-221-4181 Sales@FedRobot.com www.fedrobot.com
More informationDISCO-PRO AG ALL-IN-ONE DRONE SOLUTION FOR PRECISION AGRICULTURE. 80ha COVERAGE PARROT SEQUOIA INCLUDES MULTI-PURPOSE TOOL SAFE ANALYZE & DECIDE
DISCO-PRO AG ALL-IN-ONE DRONE SOLUTION FOR PRECISION AGRICULTURE Powered by 80ha COVERAGE AT 120M * FLIGHT ALTITUDE (200AC @ 400FT) MULTI-PURPOSE TOOL PHOTO 14MPX VIDEO 1080P FULL HD PARROT SEQUOIA RGB
More informationThe Philippines SHARE Program in Aerial Imaging
The Philippines SHARE Program in Aerial Imaging G. Tangonan, N. Libatique, C. Favila, J. Honrado, D. Solpico Ateneo Innovation Center This presentation is about our ongoing aerial imaging research in the
More informationInter-Calibration of the RapidEye Sensors with Landsat 8, Sentinel and SPOT
Inter-Calibration of the RapidEye Sensors with Landsat 8, Sentinel and SPOT Dr. Andreas Brunn, Dr. Horst Weichelt, Dr. Rene Griesbach, Dr. Pablo Rosso Content About Planet Project Context (Purpose and
More informationMULTIPURPOSE QUADCOPTER SOLUTION FOR AGRICULTURE
MULTIPURPOSE QUADCOPTER SOLUTION FOR AGRICULTURE Powered by COVERS UP TO 30HA AT 70M FLIGHT ALTITUDE PER BATTERY PHOTO & VIDEO FULL HD 1080P - 14MP 3-AXIS STABILIZATION INCLUDES NDVI & ZONING MAPS SERVICE
More informationGetting Started with Drones in Agriculture
NebGuide Nebraska Extension Research-Based Information That You Can Use G2296 Index: Crops, Crop Production/Field Crops Issued December 2017 Getting Started with Drones in Agriculture Laura J. Thompson,
More informationRemote Sensing. in Agriculture. Dr. Baqer Ramadhan CRP 514 Geographic Information System. Adel M. Al-Rebh G Term Paper.
Remote Sensing in Agriculture Term Paper to Dr. Baqer Ramadhan CRP 514 Geographic Information System By Adel M. Al-Rebh G199325390 May 2012 Table of Contents 1.0 Introduction... 4 2.0 Objective... 4 3.0
More informationOptimal Narrow Spectral Bands for Precision Weed Detection in Agricultural Fields using Hyperspectral Remote Sensing
Optimal Narrow Spectral Bands for Precision Weed Detection in Agricultural Fields using Hyperspectral Remote Sensing Sam Tittle Seminar Presentation 11/17/2016 Committee Rick Lawrence Kevin Repasky Bruce
More informationDirty REMOTE SENSING Lecture 3: First Steps in classifying Stuart Green Earthobservation.wordpress.com
Dirty REMOTE SENSING Lecture 3: First Steps in classifying Stuart Green Earthobservation.wordpress.com Stuart.Green@Teagasc.ie You have your image, but is it any good? Is it full of cloud? Is it the right
More informationGeo-localization and Mosaicing System (GEMS): Enabling Precision Image Feature Location and Rapid Mosaicing General:
Geo-localization and Mosaicing System (GEMS): Enabling Precision Image Feature Location and Rapid Mosaicing General: info@senteksystems.com www.senteksystems.com 12/6/2014 Precision Agriculture Multi-Spectral
More informationDigital Scouting Report
REPORT #5799 Page 1 Digital Scouting Report Version 1.0 Flight name: SipeFarms 14Jul16 120m Location: 2731_TESTING (-105.020951791, 40.1924286792) Date: 2016-07-14 Acres: 72.49 Photos taken 91 Agribotix
More informationUAV-based Environmental Monitoring using Multi-spectral Imaging
UAV-based Environmental Monitoring using Multi-spectral Imaging Martin De Biasio a, Thomas Arnold a, Raimund Leitner a, Gerald McGunnigle a, Richard Meester b a CTR Carinthian Tech Research AG, Europastrasse
More informationModule 3 Introduction to GIS. Lecture 8 GIS data acquisition
Module 3 Introduction to GIS Lecture 8 GIS data acquisition GIS workflow Data acquisition (geospatial data input) GPS Remote sensing (satellites, UAV s) LiDAR Digitized maps Attribute Data Management Data
More informationCORN BEST MANAGEMENT PRACTICES CHAPTER 22. Matching Remote Sensing to Problems
CORN BEST MANAGEMENT PRACTICES CHAPTER 22 USDA photo by Regis Lefebure Matching Remote Sensing to Problems Jiyul Chang (Jiyul.Chang@sdstate.edu) and David Clay (David.Clay@sdstate.edu) Remote sensing can
More informationAn Introduction to Remote Sensing & GIS. Introduction
An Introduction to Remote Sensing & GIS Introduction Remote sensing is the measurement of object properties on Earth s surface using data acquired from aircraft and satellites. It attempts to measure something
More informationThe studies began when the Tiros satellites (1960) provided man s first synoptic view of the Earth s weather systems.
Remote sensing of the Earth from orbital altitudes was recognized in the mid-1960 s as a potential technique for obtaining information important for the effective use and conservation of natural resources.
More informationPEGASUS : a future tool for providing near real-time high resolution data for disaster management. Lewyckyj Nicolas
PEGASUS : a future tool for providing near real-time high resolution data for disaster management Lewyckyj Nicolas nicolas.lewyckyj@vito.be http://www.pegasus4europe.com Overview Vito in a nutshell GI
More informationThe drone for precision agriculture
The drone for precision agriculture Reap the benefits of scouting crops from above If precision technology has driven the farming revolution of recent years, monitoring crops from the sky will drive the
More informationDIGITALGLOBE ATMOSPHERIC COMPENSATION
See a better world. DIGITALGLOBE BEFORE ACOMP PROCESSING AFTER ACOMP PROCESSING Summary KOBE, JAPAN High-quality imagery gives you answers and confidence when you face critical problems. Guided by our
More informationImage Band Transformations
Image Band Transformations Content Band math Band ratios Vegetation Index Tasseled Cap Transform Principal Component Analysis (PCA) Decorrelation Stretch Image Band Transformation Purposes Image band transforms
More informationLeica ADS80 - Digital Airborne Imaging Solution NAIP, Salt Lake City 4 December 2008
Luzern, Switzerland, acquired at 5 cm GSD, 2008. Leica ADS80 - Digital Airborne Imaging Solution NAIP, Salt Lake City 4 December 2008 Shawn Slade, Doug Flint and Ruedi Wagner Leica Geosystems AG, Airborne
More informationUAV applications for oil spill detection, suspended matter distribution and ice monitoring first tests and trials in Estonia 2015/2016
UAV applications for oil spill detection, suspended matter distribution and ice monitoring first tests and trials in Estonia 2015/2016 Sander Rikka Marine Systems Institute at TUT 1.11.2016 1 Outlook Introduction
More informationAn Analysis of Aerial Imagery and Yield Data Collection as Management Tools in Rice Production
RICE CULTURE An Analysis of Aerial Imagery and Yield Data Collection as Management Tools in Rice Production C.W. Jayroe, W.H. Baker, and W.H. Robertson ABSTRACT Early estimates of yield and correcting
More informationAtmospheric Correction (including ATCOR)
Technical Specifications Atmospheric Correction (including ATCOR) The data obtained by optical satellite sensors with high spatial resolution has become an invaluable tool for many groups interested in
More informationInterpreting land surface features. SWAC module 3
Interpreting land surface features SWAC module 3 Interpreting land surface features SWAC module 3 Different kinds of image Panchromatic image True-color image False-color image EMR : NASA Echo the bat
More informationOverview. Objectives. The ultimate goal is to compare the performance that different equipment offers us in a photogrammetric flight.
Overview At present, one of the most commonly used technique for topographic surveys is aerial photogrammetry. This technique uses aerial images to determine the geometric properties of objects and spatial
More informationNON-PHOTOGRAPHIC SYSTEMS: Multispectral Scanners Medium and coarse resolution sensor comparisons: Landsat, SPOT, AVHRR and MODIS
NON-PHOTOGRAPHIC SYSTEMS: Multispectral Scanners Medium and coarse resolution sensor comparisons: Landsat, SPOT, AVHRR and MODIS CLASSIFICATION OF NONPHOTOGRAPHIC REMOTE SENSORS PASSIVE ACTIVE DIGITAL
More informationSatellite Remote Sensing: Earth System Observations
Satellite Remote Sensing: Earth System Observations Land surface Water Atmosphere Climate Ecosystems 1 EOS (Earth Observing System) Develop an understanding of the total Earth system, and the effects of
More informationLAST GENERATION UAV-BASED MULTI- SPECTRAL CAMERA FOR AGRICULTURAL DATA ACQUISITION
LAST GENERATION UAV-BASED MULTI- SPECTRAL CAMERA FOR AGRICULTURAL DATA ACQUISITION FABIO REMONDINO, Erica Nocerino, Fabio Menna Fondazione Bruno Kessler Trento, Italy http://3dom.fbk.eu Marco Dubbini,
More informationHow to Access Imagery and Carry Out Remote Sensing Analysis Using Landsat Data in a Browser
How to Access Imagery and Carry Out Remote Sensing Analysis Using Landsat Data in a Browser Including Introduction to Remote Sensing Concepts Based on: igett Remote Sensing Concept Modules and GeoTech
More informationFLIGHT SUMMARY REPORT
FLIGHT SUMMARY REPORT Flight Number: 97-011 Calendar/Julian Date: 23 October 1996 297 Sensor Package: Area(s) Covered: Wild-Heerbrugg RC-10 Airborne Visible and Infrared Imaging Spectrometer (AVIRIS) Southern
More informationAPCAS/10/21 April 2010 ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS TWENTY-THIRD SESSION. Siem Reap, Cambodia, April 2010
APCAS/10/21 April 2010 Agenda Item 8 ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS TWENTY-THIRD SESSION Siem Reap, Cambodia, 26-30 April 2010 The Use of Remote Sensing for Area Estimation by Robert
More informationIntroduction of Satellite Remote Sensing
Introduction of Satellite Remote Sensing Spatial Resolution (Pixel size) Spectral Resolution (Bands) Resolutions of Remote Sensing 1. Spatial (what area and how detailed) 2. Spectral (what colors bands)
More informationHow Farmer Can Utilize Drone Mapping?
Presented at the FIG Working Week 2017, May 29 - June 2, 2017 in Helsinki, Finland How Farmer Can Utilize Drone Mapping? National Land Survey of Finland Finnish Geospatial Research Institute Roope Näsi,
More informationImportant Missions. weather forecasting and monitoring communication navigation military earth resource observation LANDSAT SEASAT SPOT IRS
Fundamentals of Remote Sensing Pranjit Kr. Sarma, Ph.D. Assistant Professor Department of Geography Mangaldai College Email: prangis@gmail.com Ph. No +91 94357 04398 Remote Sensing Remote sensing is defined
More information746A27 Remote Sensing and GIS
746A27 Remote Sensing and GIS Lecture 1 Concepts of remote sensing and Basic principle of Photogrammetry Chandan Roy Guest Lecturer Department of Computer and Information Science Linköping University What
More informationRemote Sensing for Rangeland Applications
Remote Sensing for Rangeland Applications Jay Angerer Ecological Training June 16, 2012 Remote Sensing The term "remote sensing," first used in the United States in the 1950s by Ms. Evelyn Pruitt of the
More informationHyperspectral Systems: Recent Developments and Low Cost Sensors. 56th Photogrammetric Week in Stuttgart, September 11 to September 15, 2017
Hyperspectral Systems: Recent Developments and Low Cost Sensors 56th Photogrammetric Week in Stuttgart, September 11 to September 15, 2017 Ralf Reulke Humboldt-Universität zu Berlin Institut für Informatik,
More informationREMOTE SENSING. Topic 10 Fundamentals of Digital Multispectral Remote Sensing MULTISPECTRAL SCANNERS MULTISPECTRAL SCANNERS
REMOTE SENSING Topic 10 Fundamentals of Digital Multispectral Remote Sensing Chapter 5: Lillesand and Keifer Chapter 6: Avery and Berlin MULTISPECTRAL SCANNERS Record EMR in a number of discrete portions
More informationIntroduction to Remote Sensing Fundamentals of Satellite Remote Sensing. Mads Olander Rasmussen
Introduction to Remote Sensing Fundamentals of Satellite Remote Sensing Mads Olander Rasmussen (mora@dhi-gras.com) 01. Introduction to Remote Sensing DHI What is remote sensing? the art, science, and technology
More informationUnmanned Aerial System for Monitoring Crop Status
Unmanned Aerial System for Monitoring Crop Status Donald Ray Rogers III Thesis submitted to the Faculty of the Virginia Polytechnic Institute and State University in partial fulfillment of the requirements
More informationSMEX05 Multispectral Radiometer Data: Iowa
Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for
More informationChapter 5. Preprocessing in remote sensing
Chapter 5. Preprocessing in remote sensing 5.1 Introduction Remote sensing images from spaceborne sensors with resolutions from 1 km to < 1 m become more and more available at reasonable costs. For some
More informationHigh Resolution Multi-spectral Imagery
High Resolution Multi-spectral Imagery Jim Baily, AirAgronomics AIRAGRONOMICS Having been involved in broadacre agriculture until 2000 I perceived a need for a high resolution remote sensing service to
More informationDESIS Applications & Processing Extracted from Teledyne & DLR Presentations to JACIE April 14, Ray Perkins, Teledyne Brown Engineering
DESIS Applications & Processing Extracted from Teledyne & DLR Presentations to JACIE April 14, 2016 Ray Perkins, Teledyne Brown Engineering 1 Presentation Agenda Imaging Spectroscopy Applications of DESIS
More informationIKONOS High Resolution Multispectral Scanner Sensor Characteristics
High Spatial Resolution and Hyperspectral Scanners IKONOS High Resolution Multispectral Scanner Sensor Characteristics Launch Date View Angle Orbit 24 September 1999 Vandenberg Air Force Base, California,
More informationRemote Sensing. Ch. 3 Microwaves (Part 1 of 2)
Remote Sensing Ch. 3 Microwaves (Part 1 of 2) 3.1 Introduction 3.2 Radar Basics 3.3 Viewing Geometry and Spatial Resolution 3.4 Radar Image Distortions 3.1 Introduction Microwave (1cm to 1m in wavelength)
More informationPSW News. Landsat Analysis Ready Data (ARD) February 15, 2018 Volume 4 Issue 1
February 15, 2018 Volume 4 Issue 1 Landsat Analysis Ready Data (ARD) By: Pete Coulter, PSW Region Director Inside This Issue Landsat Analysis Ready Data (ARD) 1 CalGIS 2018 / GIS-Pro Call for Participation
More informationHIGH RESOLUTION COLOR IMAGERY FOR ORTHOMAPS AND REMOTE SENSING. Author: Peter Fricker Director Product Management Image Sensors
HIGH RESOLUTION COLOR IMAGERY FOR ORTHOMAPS AND REMOTE SENSING Author: Peter Fricker Director Product Management Image Sensors Co-Author: Tauno Saks Product Manager Airborne Data Acquisition Leica Geosystems
More informationMaking NDVI Images using the Sony F717 Nightshot Digital Camera and IR Filters and Software Created for Interpreting Digital Images.
Making NDVI Images using the Sony F717 Nightshot Digital Camera and IR Filters and Software Created for Interpreting Digital Images Draft 1 John Pickle Museum of Science October 14, 2004 Digital Cameras
More informationScaling Up Drone Science for Agriculture & Nature Resources through Cooperative Extension
Scaling Up Drone Science for Agriculture & Nature Resources through Cooperative Extension Andy Lyons, Maggi Kelly, Sean Hogan, Shane Feirer, Robert Johnson CalGIS 2017, Oakland, CA. May 23, 2017 How and
More informationIntroduction to Remote Sensing
Introduction to Remote Sensing Daniel McInerney Urban Institute Ireland, University College Dublin, Richview Campus, Clonskeagh Drive, Dublin 14. 16th June 2009 Presentation Outline 1 2 Spaceborne Sensors
More informationESA UNCLASSIFIED - For Official Use
ESA UNCLASSIFIED - For Official Use A Hyperspectral Mission for Sentinel-2 Data Product Validation of a Northern Ombrotrophic Bog Soffer R. J., Arroyo-Mora J.P., Kalacska M., White, H.P., Ifimov G., Leblanc
More informationSoil moisture retrieval using ALOS PALSAR
Soil moisture retrieval using ALOS PALSAR T. J. Jackson, R. Bindlish and M. Cosh USDA ARS Hydrology and Remote Sensing Lab, Beltsville, MD J. Shi University of California Santa Barbara, CA November 6,
More informationGROßFLÄCHIGE UND HOCHFREQUENTE BEOBACHTUNG VON AGRARFLÄCHEN DURCH OPTISCHE SATELLITEN (RAPIDEYE, LANDSAT 8, SENTINEL-2)
GROßFLÄCHIGE UND HOCHFREQUENTE BEOBACHTUNG VON AGRARFLÄCHEN DURCH OPTISCHE SATELLITEN (RAPIDEYE, LANDSAT 8, SENTINEL-2) Karsten Frotscher Produktmanager Landwirtschaft Slide 1 A Couple Of Words About The
More informationWind Imaging Spectrometer and Humidity-sounder (WISH): a Practical NPOESS P3I High-spatial Resolution Sensor
Wind Imaging Spectrometer and Humidity-sounder (WISH): a Practical NPOESS P3I High-spatial Resolution Sensor Jeffery J. Puschell Raytheon Space and Airborne Systems, El Segundo, California Hung-Lung Huang
More informationPhase One 190MP Aerial System
White Paper Phase One 190MP Aerial System Introduction Phase One Industrial s 100MP medium format aerial camera systems have earned a worldwide reputation for its high performance. They are commonly used
More informationHYPERCUBE: Hyperspectral Imaging Using a CUBESAT
HYPERCUBE: Hyperspectral Imaging Using a CUBESAT Ian S. Robinson Senior Engineering Fellow Raytheon Certified Architect Ian.Robinson@Raytheon.com Customer Success Is Our Mission Copyright 2011 Raytheon
More informationPlant Health Monitoring System Using Raspberry Pi
Volume 119 No. 15 2018, 955-959 ISSN: 1314-3395 (on-line version) url: http://www.acadpubl.eu/hub/ http://www.acadpubl.eu/hub/ 1 Plant Health Monitoring System Using Raspberry Pi Jyotirmayee Dashᵃ *, Shubhangi
More informationPhotonic-based spectral reflectance sensor for ground-based plant detection and weed discrimination
Research Online ECU Publications Pre. 211 28 Photonic-based spectral reflectance sensor for ground-based plant detection and weed discrimination Arie Paap Sreten Askraba Kamal Alameh John Rowe 1.1364/OE.16.151
More informationCamera Requirements For Precision Agriculture
Camera Requirements For Precision Agriculture Radiometric analysis such as NDVI requires careful acquisition and handling of the imagery to provide reliable values. In this guide, we explain how Pix4Dmapper
More informationVisualizing a Pixel. Simulate a Sensor s View from Space. In this activity, you will:
Simulate a Sensor s View from Space In this activity, you will: Measure and mark pixel boundaries Learn about spatial resolution, pixels, and satellite imagery Classify land cover types Gain exposure to
More informationIntroduction to Remote Sensing
Introduction to Remote Sensing Spatial, spectral, temporal resolutions Image display alternatives Vegetation Indices Image classifications Image change detections Accuracy assessment Satellites & Air-Photos
More informationHigh throughput phenotyping of field crop experiments using UAVs. Ph. Burger, R. Marandel, F. Baret, G. Colombeau, A. Comar
High throughput phenotyping of field crop experiments using UAVs Ph. Burger, R. Marandel, F. Baret, G. Colombeau, A. Comar PHILIPPE BURGER Drone Garden Workshop - 10/07/2018 Phenotyping? Genotype= the
More information746A27 Remote Sensing and GIS. Multi spectral, thermal and hyper spectral sensing and usage
746A27 Remote Sensing and GIS Lecture 3 Multi spectral, thermal and hyper spectral sensing and usage Chandan Roy Guest Lecturer Department of Computer and Information Science Linköping University Multi
More informationImage interpretation and analysis
Image interpretation and analysis Grundlagen Fernerkundung, Geo 123.1, FS 2014 Lecture 7a Rogier de Jong Michael Schaepman Why are snow, foam, and clouds white? Why are snow, foam, and clouds white? Today
More informationPresent and future of marine production in Boka Kotorska
Present and future of marine production in Boka Kotorska First results from satellite remote sensing for the breeding areas of filter feeders in the Bay of Kotor INTRODUCTION Environmental monitoring is
More informationThe New Rig Camera Process in TNTmips Pro 2018
The New Rig Camera Process in TNTmips Pro 2018 Jack Paris, Ph.D. Paris Geospatial, LLC, 3017 Park Ave., Clovis, CA 93611, 559-291-2796, jparis37@msn.com Kinds of Digital Cameras for Drones Two kinds of
More informationISIS TC Meeting. International Spaceborne Imaging Spectroscopy (ISIS) GRSS Technical Committee Meeting, 16/07/2014, IGARSS 2014
ISIS TC Meeting International Spaceborne Imaging Spectroscopy (ISIS) GRSS Technical Committee Meeting, 16/07/2014, IGARSS 2014 Andreas Müller (DLR) Cindy Ong (CSIRO) Uta Heiden (DLR) Agenda Hyperspectral
More informationCrop and Irrigation Water Management Using High-resolution Airborne Remote Sensing
Crop and Irrigation Water Management Using High-resolution Airborne Remote Sensing Christopher M. U. Neale and Hari Jayanthi Dept. of Biological and Irrigation Eng. Utah State University & James L.Wright
More informationVegetation Indexing made easier!
Remote Sensing Vegetation Indexing made easier! TETRACAM MCA & ADC Multispectral Camera Systems TETRACAM MCA and ADC are multispectral cameras for critical narrow band digital photography. Based on the
More informationOutline for today. Geography 411/611 Remote sensing: Principles and Applications. Remote sensing: RS for biogeochemical cycles
Geography 411/611 Remote sensing: Principles and Applications Thomas Albright, Associate Professor Laboratory for Conservation Biogeography, Department of Geography & Program in Ecology, Evolution, & Conservation
More informationREMOTE SENSING WITH DRONES. YNCenter Video Conference Chang Cao
REMOTE SENSING WITH DRONES YNCenter Video Conference Chang Cao 08-28-2015 28 August 2015 2 Drone remote sensing It was first utilized in military context and has been given great attention in civil use
More informationBringing Hyperspectral Imaging Into the Mainstream
Bringing Hyperspectral Imaging Into the Mainstream Rich Zacaroli Product Line Manager, Commercial Hyperspectral Products Corning August 2018 Founded: 1851 Headquarters: Corning, New York Employees: ~46,000
More informationLecture 13: Remotely Sensed Geospatial Data
Lecture 13: Remotely Sensed Geospatial Data A. The Electromagnetic Spectrum: The electromagnetic spectrum (Figure 1) indicates the different forms of radiation (or simply stated light) emitted by nature.
More informationExample of Analysis of Yield or Landsat Data Based on Assessing the Consistently Lowest 20 Percent by Using
GIS Ag Maps www.gisagmaps.com Example of Analysis of Yield or Landsat Data Based on Assessing the Consistently Lowest 20 Percent by Using Soil Darkness, Flow Accumulation, Convex Areas, and Sinks Two aspects
More informationSummary. Introduction. Remote Sensing Basics. Selecting a Remote Sensing Product
K. Dalsted, J.F. Paris, D.E. Clay, S.A. Clay, C.L. Reese, and J. Chang SSMG-40 Selecting the Appropriate Satellite Remote Sensing Product for Precision Farming Summary Given the large number of satellite
More informationMONITORING CROP GROWTH STATUS BASED ON OPTICAL SENSOR
MONITORING CROP GROWTH STATUS BASED ON OPTICAL SENSOR Di Cui 1, Minzan Li 1, Yan Zhu 2, Weixing Cao 2, Xijie Zhang 1 1 Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry
More information9/10/2013. Incoming energy. Reflected or Emitted. Absorbed Transmitted
Won Suk Daniel Lee Professor Agricultural and Biological Engineering University of Florida Non destructive sensing technologies Near infrared spectroscopy (NIRS) Time resolved reflectance spectroscopy
More informationEvaluation of Sentinel-2 bands over the spectrum
Evaluation of Sentinel-2 bands over the spectrum S.E. Hosseini Aria, M. Menenti, Geoscience and Remote sensing Department Delft University of Technology, Netherlands 1 outline ointroduction - Concept odata
More informationMonitoring agricultural plantations with remote sensing imagery
MPRA Munich Personal RePEc Archive Monitoring agricultural plantations with remote sensing imagery Camelia Slave and Anca Rotman University of Agronomic Sciences and Veterinary Medicine - Bucharest Romania,
More informationSpectral Reflectance Sensor SRS-NDVI
The Spectral Reflectance Sensor NDVI continuously monitors the NDVI of our plant canopy. Measure NDVI or PRI vegetation indices at the plot or plant stand scale. Non-destructive sampling of canopy greenup,
More informationSample Copy. Not For Distribution.
Photogrammetry, GIS & Remote Sensing Quick Reference Book i EDUCREATION PUBLISHING Shubham Vihar, Mangla, Bilaspur, Chhattisgarh - 495001 Website: www.educreation.in Copyright, 2017, S.S. Manugula, V.
More informationASSESSMENT OF HAIL DAMAGE TO CROPS USING SATELLITE IMAGERY AND HAND HELD HYPERSPECTRAL DATA
Abstract ASSESSMENT OF HAIL DAMAGE TO CROPS USING SATELLITE IMAGERY AND HAND HELD HYPERSPECTRAL DATA 1 Owen Chandler, 2 Frank Young, and 2 Armando Apan 1 Freemans Toowoomba Suite 1 382 Ruthven Street,
More informationHyper-spectral, UHD imaging NANO-SAT formations or HAPS to detect, identify, geolocate and track; CBRN gases, fuel vapors and other substances
Hyper-spectral, UHD imaging NANO-SAT formations or HAPS to detect, identify, geolocate and track; CBRN gases, fuel vapors and other substances Arnold Kravitz 8/3/2018 Patent Pending US/62544811 1 HSI and
More informationAbstract Quickbird Vs Aerial photos in identifying man-made objects
Abstract Quickbird Vs Aerial s in identifying man-made objects Abdullah Mah abdullah.mah@aramco.com Remote Sensing Group, emap Division Integrated Solutions Services Department (ISSD) Saudi Aramco, Dhahran
More informationMonitoring the vegetation success of a rehabilitated mine site using multispectral UAV imagery. Tim Whiteside & Renée Bartolo, eriss
Monitoring the vegetation success of a rehabilitated mine site using multispectral UAV imagery Tim Whiteside & Renée Bartolo, eriss About the Supervising Scientist Main roles Working to protect the environment
More informationCamera Requirements For Precision Agriculture
Camera Requirements For Precision Agriculture Radiometric analysis such as NDVI requires careful acquisition and handling of the imagery to provide reliable values. In this guide, we explain how Pix4Dmapper
More informationAcquisition of Aerial Photographs and/or Satellite Imagery
Acquisition of Aerial Photographs and/or Satellite Imagery Acquisition of Aerial Photographs and/or Imagery From time to time there is considerable interest in the purchase of special-purpose photography
More informationAnalysis of vegetation indices derived from aerial multispectral and ground hyperspectral data
September, 2009 Int J Agric & Biol Eng Open Access at http://www.ijabe.org Vol. 2 No.3 33 Analysis of vegetation indices derived from aerial multispectral and ground hyperspectral data Huihui Zhang 1,
More informationImage transformations
Image transformations Digital Numbers may be composed of three elements: Atmospheric interference (e.g. haze) ATCOR Illumination (angle of reflection) - transforms Albedo (surface cover) Image transformations
More informationThe Hyperspectral UAV (HyUAV) a novel UAV-based spectroscopy tool for environmental monitoring
The Hyperspectral UAV (HyUAV) a novel UAV-based spectroscopy tool for environmental monitoring R. Garzonio 1, S. Cogliati 1, B. Di Mauro 1, A. Zanin 2, B. Tattarletti 2, F. Zacchello 2, P. Marras 2 and
More informationAerial Image Acquisition and Processing Services. Ron Coutts, M.Sc., P.Eng. RemTech, October 15, 2014
Aerial Image Acquisition and Processing Services Ron Coutts, M.Sc., P.Eng. RemTech, October 15, 2014 Outline Applications & Benefits Image Sources Aircraft Platforms Image Products Sample Images & Comparisons
More informationRPAS Photogrammetric Mapping Workflow and Accuracy
RPAS Photogrammetric Mapping Workflow and Accuracy Dr Yincai Zhou & Dr Craig Roberts Surveying and Geospatial Engineering School of Civil and Environmental Engineering, UNSW Background RPAS category and
More informationCHARACTERISTICS OF REMOTELY SENSED IMAGERY. Spatial Resolution
CHARACTERISTICS OF REMOTELY SENSED IMAGERY Spatial Resolution There are a number of ways in which images can differ. One set of important differences relate to the various resolutions that images express.
More information