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Drones in the ArcGIS PlatformCody Benkelman
The ArcGIS Platform for Imagery
Professional
Imagery &
Geospatial
Analysts
Server
ArcGIS is a Comprehensive Imagery Platform, including DronesDrones Integrate into the Complete ArcGIS Platform
Share
Analyze
To extract Information
from Imagery
To share imagery products
and information to those that need it
Manage
To manage and
process all your imagery
System of
Engagement
System of
Record
System of
Insight
ArcGIS for Image Management & Processing
• Extensive content to manage your drone project planning
- Living Atlas and in ArcGIS Online:
- e.g. Elevation; Weather; Political Boundaries; FAA maps…
• Processing to create imagery products
- Drone2Map - App Optimized for single frame imagery
- FMV (Full Motion Video) add-in for drone video
- ArcGIS desktop & server – Tools for working with all forms of imagery
• Manage and serve content from multiple projects & sensors
- Data management for massive collections
- MRF format for cloud-based storage and image services
System of
Record
System of
Insight
ArcGIS for Visualization & Analysis
• Visualization
- Fast display of imagery in 2D and 3D
- Full motion video support
• Analysis Tools
- Tools to accurately measure and interpret imagery
• Scalable Analytics
- For extracting information from imagery
ArcGIS for Sharing (Drone and other) Imagery
• Access from multiple devices in mobile, web and desktop applications
• APIs for development of custom applications
• Provide appropriate access control to those that need it
System of
Engagement
Drone data ingestion & processing
Workflow for drone imagery based on camera & operational mode
Close range
imagery
(inspection)
Nadir imagery
Oblique
imagery
Full Motion
Video
Workflow for drone imagery based on camera & operational mode
Close range
imagery
(inspection)
Nadir imagery
Oblique
imagery
Full Motion
Video
Orthorectified
Mosaics
3D Point
Clouds &
Meshes
Smart
Inspection
Photos
Drone2Map
Workflow for drone imagery based on camera & operational mode
Close range
imagery
(inspection)
Nadir imagery
Oblique
imagery
Full Motion
Video
Orthorectified
Mosaics
3D Point
Clouds &
Meshes
Smart
Inspection
Photos
Drone2Map
Workflow for drone imagery based on camera & operational mode
Close range
imagery
(inspection)
Nadir imagery
Oblique
imagery
Full Motion
VideoArcMap (Pro in early 2017)
Workflow for drone imagery based on camera & operational mode
Close range
imagery
(inspection)
Nadir imagery
Oblique
imagery
Full Motion
Video
Georeferenced
video, on map
Map feature data,
projected into video
Rapid video search by
geography or metadata
Georeferenced features
extracted from videoArcMap (Pro in late 2016)
Full Motion Video processing
FMV add-in for ArcGIS Review of the basics…
Support for MISB format video
Video on map, Map features in video
Video files or live stream
Extract metadata, Create searchable index (map or metadata)
Latest release 1.3.1
- Full support for ArcGIS Desktop 10.3.x and 10.4.x
- Improved multiplexer, specifically control over variable bit rate, & auto bit rate calculation
“Multiplexer” Geoprocessing Tool Added in FMV version 1.3
• Extend FMV and ArcGIS to simple, low cost UAS (drone) video sensors
• Integrate GPS and IMU data (if available) into stored video file for compatibility with
MISB format
- Estimated camera orientation may be used if no IMU
Metadata requirements – FMV multiplexer
• Minimum
- GPS location (latitude, longitude and height) of the camera
• Preferred
- GPS as well as camera orientation angles (pitch, roll, heading) & sensor field of view
Multiplexer, Metadata Extraction
FMV GP Tools
Imagery Management in ArcGIS
…Next level of detail, regarding effective data management…
Close range
imagery
(inspection)
Nadir imagery
Oblique
imagery
Full Motion
VideoArcMap (Pro in late 2016)
Drone2Map
Server
Automated and Scalable Image Data Management
• http://esriurl.com/ImageManagement
• 2D Imagery & Video managed in centralized data collections
- Orthomosaics, DSMs, single image frames from Drone2Map
- Video managed as GDB features based on flight metadata
Automated and Scalable Image Data Management
• http://esriurl.com/ImageManagement
• 2D Imagery & Video managed in centralized data collections
- Orthomosaics, DSMs, single image frames from Drone2Map
- Video managed as GDB features based on flight metadata
• Sessions:
- TUES 3:15 PM “Managing Imagery & Raster Data using Mosaic Datasets” Room 5 A
- THURS 9:30 AM “Best Practices for Managing and Serving UAS Frame Imagery” Demo Theater
- THURS 3:15 “Managing Imagery & Raster Data using Mosaic Datasets” Room 10
For More Information!FMV Landing Page
www.esri.com/fmv
• www.esri.com/fmv
• FMV 1.3.1 Add-In and GP Tools
• Tutorials and Sample Data
• Access our FAQ
• Blogs
Links for follow up
Drone2Map
http://www.esri.com/drone2map
Full Motion Video (FMV) Add-In
http://www.esri.com/fmv
Workflows & data products for
2D mapping with Drone2Map Joe McGlinchy
Esri Professional Services
Data Credits
3DR
TerrAvion
Workflows and Data Products
• Input Data
- Individual image frames (mandatory)
- Geolocation
- GPS/IMU Log (optional)
- Ground Control Points (optional)
• Derived Products
- Orthophoto mosaics
- Raster Digital Surface Model
- Diverse image analytics capabilities
• Multiple dates
- Supports monitoring of key variables
Drone2Map – 2D View w/ Image Capture Points & Basemap
Drone2Map – 2D View w/ Image Capture Points & Processed Orthomosaic
Drone2Map – 3D View w/ Image Capture Points & Basemap
Extracting Information from the Data
• Surfaces
- Stockpile volumes
• Multispectral Orthophoto
- Spectral indexes
• Multiple dates
- Supports monitoring of key variables
Monitoring Surfaces
- Surfaces are often changing
- Potholes deeper than X [units]
- Canopy ‘thickness’ over a season
- Stockpile volumes over a construction project
- No two collections will have the same value
- Produce a surface raster (digital surface model) for each collection
- Assess information within a polygon over multiple dates
Surface Rasters
TIME
Surface Rasters
TIME
OBJECTID … Date
1 … 1/8/2016 0:00
2 … 1/12/2016 0:00
3 … 1/19/2016 0:00
4 … 11/3/2015 0:00
5 … 11/10/2015 0:00
6 … 11/17/2015 0:00
7 … 11/24/2015 0:00
8 … 11/24/2015 0:00
9 … 12/2/2015 0:00
10 … 12/9/2015 0:00
Tracking Volume Over Time
Inputs
- Digitized Polygon
- Mosaic Dataset w/ Date Field
- Rasters are digital surface
models
Outputs
- Python Matplotlib charts
Tracking Volume Over Time – Analysis in ArcGIS Desktop
ArcMap Demo
Vegetation Index Monitoring
- Crops are often changing
- Within field variability
- Variation due to watering patterns and other environmental factors
- Change in NDVI within a small AOI
- No two collections will have the same value
- Produce a multispectral orthomosaic for each collection
- Assess information within a polygon over multiple dates
Color IR Imagery
TIME
Color IR
TIME
OBJECTID … Date
1 … 2/9/2016 0:00
2 … 4/19/2016 0:00
3 … 4/26/2016 0:00
4 … 5/2/2016 0:00
5 … 5/10/2016 0:00
7 … 5/26/2016 0:00
8 … 6/1/2016 0:00
9 … 6/6/2016 0:00
Near Infrared Imagery
• What does Near Infrared band do for us?
- Very low reflectance from water
- Very low reflectance from shadowed areas
- Very high reflectance from vegetation
- Can be used in addition to other bands, i.e., NDVI
𝑵𝑫𝑽𝑰 =𝑵𝑰𝑹 − 𝑹𝑬𝑫
𝑵𝑰𝑹 + 𝑹𝑬𝑫
Quick overview of NDVI
Normalized Difference Vegetation Index
• Measure of vegetation health
• Values between [-1.0, 1.0]
- Negative values (approaching -1.0) correspond to water
- Values close to zero (-0.1 to 0.1) correspond generally to
barren areas of rock, sand, or snow
- Low, positive values (0.2-0.4) correspond to
shrub/grassland
- High values indicative of temperate and tropical rainforests
[1]
[1] http://earthobservatory.nasa.gov/Features/MeasuringVegetation/
RED NIR
NDVI
Analyze the Color IR data – NDVI – ArcGIS Desktop
Analyze the Color IR data - NDVI
TIME
Tracking NDVI Over Time
Inputs
- Digitized Polygon
- Mosaic Dataset w/ Date Field
- Rasters have enough bands to
support NDVI calculation
- Processing template for NDVI
via Raster Functions
Outputs
- Python Matplotlib charts
Tracking NDVI Over Time
ArcMap Demo
Summary
- UAS is a system which can produce many datasets over a common area
- Esri Mosaic Dataset is an ideal container for such data
- Lots of value in the time dimension
- Key variables can be monitored to support decision making
Integrating Drones into GIS
Working with 3D DataMark Romero
Drone2Map for ArcGIS
Orthomosaics
Digital Surface Models Smart Inspection
Point Clouds and Meshes
Create 2D and 3D products from raw drone imagery
Drone2MapPlan Your Flight for the Right Product Type for 3D
Side
Overlap
Forward
Overlap
2D and 3D Products
Orbit
One
Orbit
Two
Inspection and 3D Products
Step 1. Initial Calibration
Step 2. Point Cloud and Mesh
Step 3. Share Drone Imagery FastGet Imagery Products To Your Users When They Need It
3D products Scene layers
Building an open platform with 3D
• Open 3D Scene Specification (I3S)
• LERC
• KML
• WMS/WMTS
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