how to efficiently use satellite imagery with machine learning · 2019. 11. 21. · green density...
TRANSCRIPT
2019-10-22 / Warsaw
How to efficiently use satellite imagerywith Machine Learning
Damian RodziewiczVice-president of the BoardPassionate about Data Analysis and Programming
Previously worked at Accenture, UBS, Microsoft, Domino Data Lab
Technology maniac
Loves psychology
What we do - selected clients
Contributors to R community
WHY SATELLITES?
Regular coverage of earth
Easily available
Time-travel
WHY SATELLITES?
>4500 >600 25 cmSATELLITESIN SPACE
IMAGERYSATELLITES
BESTRESOLUTION
QUICK FAQ
Do they collide?
Do they collide?
How do they take pictures?
How do they take pictures?
I want to go!
I want to go!
June 2019
I want to go!
The cost of a seat?
An estimated $52 million
SATELLITE IMAGERY
Types of available data
Public
● Landsat● Sentinel● …
Commercial
● Maxar (previously DigitalGlobe)● Planet Labs● Airbus Defence & Space● ImageSat● Skywatch● ...
Types of available data
Source: Chivasa, et al. Application of remote sensing in estimating maize grain yield in heterogeneous African agricultural landscapes: a review
RapidEye
Types of available data
Source: https://learn.arcgis.com/en/arcgis-imagery-book/chapter4/#learn-more
NDVI
● Green density factor
● Recommended by NASA and used in many research works
● The higher the score, the healthier the plants are
Source: https://gisgeography.com/ndvi-normalized-difference-vegetation-index/
Types of available data
Sumatra, Indonesia(Left: © Copernicus Sentinel data (2015), right © U.S. Geological Survey.)Source: https://blog.conservation.org/2016/03/cloud-piercing-satellites-unleash-torrent-of-new-data-new-insights-into-planet-earth/
temporal and spectralcostconsistency & availabilityease of processing
Types of available data
spatial resolution
Current state of the art
25 cm resolution
Twicea day
Current state of the art?
25 cm resolution
Twicea day
Current state of the art?
25 cm resolution
Twicea day
25 cm resolution
Twicea day
25 cm resolution
Twicea day
Credit: Cees Bassahttps://twitter.com/cgbassa/status/1167578706379988992
● 2.4 m mirrors
● The sharpest images ofthe Earth's surface
● The actual resolution ofthe images is kept secret
● 10 cm ? 2.5 cm? 1.25 cm?
Hubble telescope | NASA
Technology is data-source agnostic
USING SATELLITE IMAGES IN PRACTICE
DATA PREPROCESSINGPreprocessing of large image files.
RESOURCE INTENSIVEParts of solution requiring lots of compute and memory resources.
What shouldn’t be done locally?
What shouldn’t be done locally?
DASHBOARDSDisplay images and insights.
Decision support systems to actually get and apply insights.
FORECASTING & ANALYSISPredictive models based on indicators calculated from spectral data.
Where R Shines?
DEEP LEARNINGDeep neural network models on satellite data.
Architecture of complete solution
Satellite images library / service
Images preprocessing & storage
Model training
Dashboard & insights
Batch job
On demandBatch
API
Trained model
Database
APPLICATIONS
Source: Planet.com
● Precision farming ○ Estimate vegetation health (NDVI + others)○ Identify water and damage on field
● Forests○ Simulate forests spread○ Detect deforestation zones○ Detect areas for planting trees
● Simulate disasters (e.g. forests fire, flood)
● Study glacier melts and effectson sea levels
● TCW (Tasseled Cap Wetness) - wetness indicator
● Find fields that are wet
● Enforce watering restrictions
Source: unsplash.com
Source: Sentinel 2
● Dynamic pricing based on the field history
● Automatic claim verification
● Portfolio impact calculation after a disaster
● Reserves preparation for future claims
indicatorse.g. NDVI
Source: https://www.marinetraffic.com
● Identify ships that turn off AIS signalling
● Scan protected areas
● Identify ships that fish in protected areas
Source: Queensland Globe
● Identify key features and cleanliness of an area
● Identify car types○ A new car, SUV, an old car
● Assess the state and quality of house rooftops
● Estimate area wellness
Source: Queensland Globe
● Count cars parked at the mall
● Estimate warehouses load by counting trucks
● Estimate amount of clients visiting a shopping mall
Source: unsplash.com
● Establish locations worth investing in
● Simulate city growth
● Be up to date with city infrastructure
● Detect construction zones
● Count crates, track ships
● Estimate warehouse load
● Predict changes in supply and prices increase
