opportunities for uas as smart inspectors in environmental ... · from mapping to monitoring...

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Opportunities for UAS as Smart Inspectors in Environmental Monitoring Applications Lammert Kooistra 1 , Juha Suomalainen 1 , Niels Anders 2 , Jappe Franke 3 , Harm Bartholomeus 1 , Saskia Keesstra 2 and Sander Mücher 3 1: GRS - Wageningen University 2: SLM – Wageningen University 3: Alterra, Wageningen, The Netherlands

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Page 1: Opportunities for UAS as Smart Inspectors in Environmental ... · From mapping to monitoring Consistent signal in time (spatially and spectrally) Efficient processing chains -> real-time

Opportunities for UAS as Smart Inspectors in Environmental Monitoring Applications

Lammert Kooistra1, Juha Suomalainen1, Niels Anders2, Jappe Franke3, Harm Bartholomeus1, Saskia Keesstra2 and Sander Mücher3

1: GRS - Wageningen University

2: SLM – Wageningen University

3: Alterra, Wageningen, The Netherlands

Page 2: Opportunities for UAS as Smart Inspectors in Environmental ... · From mapping to monitoring Consistent signal in time (spatially and spectrally) Efficient processing chains -> real-time

Contents

The Unmanned Aerial Remote Sensing Facility @ WUR ● Organization and people ● Platforms and sensors

Environmental Monitoring Applications ● Agriculture and precision farming ● Habitat mapping and monitoring ● Coastal applications

Outlook ● New applications and sensor ● NL Regulations ● Towards an UAS network

Page 3: Opportunities for UAS as Smart Inspectors in Environmental ... · From mapping to monitoring Consistent signal in time (spatially and spectrally) Efficient processing chains -> real-time

Tim

e

hour –

day –

week –

month –

quarter –

year –

decade –

Space

– – –

– local regional state/country continental global

Up-/Down- Scaling

Agricultural parcel: precision agriculture (farmer) Nature reserve: nature management (nature service)

River catchments: flood protection (river & water board) Nature reserves: fire protection (forest service)

Climate change: carbon accounting (national government) Invasive species

Drought monitoring Biodiversity

Climate change Land use

Structural monitoring service

Event monitoring service

Scale requirements for monitoring

Page 5: Opportunities for UAS as Smart Inspectors in Environmental ... · From mapping to monitoring Consistent signal in time (spatially and spectrally) Efficient processing chains -> real-time

Relevance of UAS for science: flexibility

Close data availability gaps

Increase spatial detail

Courtesy: IMST

Use the complete EM

spectrum

Page 6: Opportunities for UAS as Smart Inspectors in Environmental ... · From mapping to monitoring Consistent signal in time (spatially and spectrally) Efficient processing chains -> real-time

Objectives: ● Platform for dedicated and high-

quality experiments ● Calibration facilities and disseminating

processing procedures to the UAS user community

● Test use in a broad range of applications like habitat monitoring, precision agriculture and land degradation assessment

Unmanned Aerial Remote Sensing Facility

Page 7: Opportunities for UAS as Smart Inspectors in Environmental ... · From mapping to monitoring Consistent signal in time (spatially and spectrally) Efficient processing chains -> real-time

Remote Sensing Science: UAS in a chain

backward engineering

Page 8: Opportunities for UAS as Smart Inspectors in Environmental ... · From mapping to monitoring Consistent signal in time (spatially and spectrally) Efficient processing chains -> real-time

Hyperspectral Mapping Concept

Aerialtronics Altura AT8 ● Programmable

autonomous flight ● 2kg payload ● 5-10 min flight time

Pushbroom spectrometer ● 450-950nm ● FWHM 9nm ● 20 lines/s

Consumer RGB camera GPS/Inertia navigation

System ● Accuracy: 4m / 0.25°

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Photo Radiometric Processing

Photo Geometric Processing

Datacube Radiometric Processing

Datacube Geometric Processing

Overview of processing chain

Digital Surface Model

Georectified Hyperspectral

Datacube

High Resolution RGB

Orthomosaic

Page 10: Opportunities for UAS as Smart Inspectors in Environmental ... · From mapping to monitoring Consistent signal in time (spatially and spectrally) Efficient processing chains -> real-time

Result Experimental Field Dronten

Page 11: Opportunities for UAS as Smart Inspectors in Environmental ... · From mapping to monitoring Consistent signal in time (spatially and spectrally) Efficient processing chains -> real-time

31 mei 11 juni 23 juni 5 juli 14 juli 19 aug 6 sept

Optimal start

Adjustment over the season

Sensor observation

Agriculture and precision farming

Page 12: Opportunities for UAS as Smart Inspectors in Environmental ... · From mapping to monitoring Consistent signal in time (spatially and spectrally) Efficient processing chains -> real-time

Potential at start: soil organic matter status

Page 13: Opportunities for UAS as Smart Inspectors in Environmental ... · From mapping to monitoring Consistent signal in time (spatially and spectrally) Efficient processing chains -> real-time

Mapping soil erosion status

Page 14: Opportunities for UAS as Smart Inspectors in Environmental ... · From mapping to monitoring Consistent signal in time (spatially and spectrally) Efficient processing chains -> real-time

Landslide displacement

Page 15: Opportunities for UAS as Smart Inspectors in Environmental ... · From mapping to monitoring Consistent signal in time (spatially and spectrally) Efficient processing chains -> real-time

Over growing season: crop monitoring

June 6 June 14 July 5 July 17

Flight at 100m altitude Pixel size

Orthophoto 0.018m Hyperspectral 0.500m

Page 16: Opportunities for UAS as Smart Inspectors in Environmental ... · From mapping to monitoring Consistent signal in time (spatially and spectrally) Efficient processing chains -> real-time

Over growing season: crop monitoring

Chlre = (780/710)-1

Page 17: Opportunities for UAS as Smart Inspectors in Environmental ... · From mapping to monitoring Consistent signal in time (spatially and spectrally) Efficient processing chains -> real-time

Over growing season: crop monitoring

June 14 July 5

Page 18: Opportunities for UAS as Smart Inspectors in Environmental ... · From mapping to monitoring Consistent signal in time (spatially and spectrally) Efficient processing chains -> real-time

Msc thesis Thomas Koot in cooperation with

Farming Systems – WUR Jan Willem Hofstee

Identification of sugarbeet in potato

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Page 20: Opportunities for UAS as Smart Inspectors in Environmental ... · From mapping to monitoring Consistent signal in time (spatially and spectrally) Efficient processing chains -> real-time
Page 21: Opportunities for UAS as Smart Inspectors in Environmental ... · From mapping to monitoring Consistent signal in time (spatially and spectrally) Efficient processing chains -> real-time
Page 22: Opportunities for UAS as Smart Inspectors in Environmental ... · From mapping to monitoring Consistent signal in time (spatially and spectrally) Efficient processing chains -> real-time

Habitat mapping and monitoring

Forest cuts

Page 23: Opportunities for UAS as Smart Inspectors in Environmental ... · From mapping to monitoring Consistent signal in time (spatially and spectrally) Efficient processing chains -> real-time

Monitoring Deforestation Wekeromse Zand

Google Earth

Jappe Franke , Juha Suomalainen Philip Wenting

Page 24: Opportunities for UAS as Smart Inspectors in Environmental ... · From mapping to monitoring Consistent signal in time (spatially and spectrally) Efficient processing chains -> real-time

3D Model

Page 25: Opportunities for UAS as Smart Inspectors in Environmental ... · From mapping to monitoring Consistent signal in time (spatially and spectrally) Efficient processing chains -> real-time

Coral reef mapping island of Bonaire

Page 26: Opportunities for UAS as Smart Inspectors in Environmental ... · From mapping to monitoring Consistent signal in time (spatially and spectrally) Efficient processing chains -> real-time

Outlook UARSF @ WUR

From mapping to monitoring ● Consistent signal in time (spatially and spectrally) ● Efficient processing chains -> real-time products ● Link UAS products with science fields and applications ● Integration with satellite and ground based sensors

● New UAS domains: forestry and thermal

● NL Regulations and towards Certification

● BNUC-S: Basic National UAS Certificate – Small Aircraft ● Operations Manual ● Theory Ground Course and Flight Examination ● ILT project exemption + TUG

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Research <-> Commercial <-> End-users

● Exchange/flow of knowledge

● Sharing of protocols/best practices required

● Sharing and exchange of facilities

● regulatory frameworks

Research Network Smart Inspectors (smartinspectors.net)

UAS in research and business: how to meet?

RSRW

sceme.de

WUR

IMST BLGG LWK NRW

HSRW

Alterra Terrasphere

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Thank you for your attention www.wageningen-ur.nl/uarsf

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Research oriented projects: Bioscope, Fieldcopter, Smart Inspectors and many more (limited duration)

Regulation oriented platforms: national and EU

Sector organized platforms: e.g., DARPAS in NL

Scientific conferences and workshops:

● Workshop on UAV-based Remote Sensing Methods for Monitoring Vegetation, Sept. 9th - 10th, 2013, Uni Cologne

● UAS event Eindhoven and Odense in 2013

● UAV-g conference 4- 6 Sept. 2013 at Rostock University

● UAS session, EGU2014 conference, Vienna

Current UAS networks

Page 30: Opportunities for UAS as Smart Inspectors in Environmental ... · From mapping to monitoring Consistent signal in time (spatially and spectrally) Efficient processing chains -> real-time

Position of UAS networks

Public/policy: RPAS regulation

Research: Innovations and

solutions

Business/users: Products and

services

Sector platforms: e.g., DARPAS-NL

Regulation oriented platforms

Research oriented projects

Conferences and workshops

Who or what???