avia-gis - belgian platform on earth...

56
Avia-GIS Innovation for decision making

Upload: lamhanh

Post on 02-Jul-2018

216 views

Category:

Documents


0 download

TRANSCRIPT

Avia-GIS Innovation for decision making

What do we do?

Develop innovative spatial decision support systems to bridge the gap between research and decision making: • Integrated space technology applications • Optimized health information systems • Precision pest management

We aim at producing economically sustainable systems which: • Generate high quality data • Save time and reduce costs

Who are we? Established in 2001 75% Europe – 25% Africa Thematic niches International networks Partnerships 14 experts 3 units

0,00

2,00

4,00

6,00

8,00

10,00

12,00

14,00

2000 2005 2010 2015

Full Time Equivalents

12,5

General Services

Precision Pest

Management

Health Information

Systems

How do we do it?

Research & Consulting

Capacity building

Software & Services

HEALTH INFORMATION SYSTEMS Denominator mapping

Disease mapping Risk assessment Crisis simulation

PRECISION PEST MANAGEMENT Spatial sampling strategies Spatial distribution & abundance models From area-wide to landscape Wind dispersal

VECMAP A one-stop-shop for vector mapping

The system VECMAP is a seamless system that: • Integrates the entire process of producing risk maps

from sampling to spatial modeling into a single package • Can be used by a wide range of practitioners • Includes supporting services designed to:

o Provide training o Ensure continuity o Facilitate exchanges o Manage data

Components

• Spread Aedes albopictus in Europe • Mosquito distribution and abundance in the Benelux • Mosquito diversity in Belgium • Midge distribution and abundance in Spain • Potential spread of a selected invasive species in

Benelux and Europe • Distribution and abundance of potential RVF vectors in

Southern Europe • Gap-analysis of vector distribution maps in Europe • Control of Ae. japonicus in Natoye, Belgium • Risk maps for pharmaceutical industry

urope

Selected outputs

Spatial models

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

##

#

#

#

#

#

#

#

#

#

#

#

# #

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

##

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

##

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

##

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

# #

#

#

#

#

#

#

#

#

#

#

# #

#

#

#

#

##

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

# #

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

##

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

##

#

#

#

##

#

#

#

#

#

#

#

#

#

#

#

#

#

#

##

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

##

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

##

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

##

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

##

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

# #

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

##

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

##

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

##

#

#

#

#

#

#

##

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

##

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

###

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

##

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

##

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

##

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

# #

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

# #

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

##

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

##

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

##

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

##

#

#

#

#

#

#

#

#

#

#

#

#

#

#

##

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

##

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

##

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

##

#

#

#

#

#

#

#

##

#

#

#

#

#

#

#

#

#

#

##

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

##

#

#

#

#

#

#

#

#

#

#

#

##

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

##

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

#

## #########

###############

###

#######################

##############

###################

##########################

### ####

#####

#

##

####

#####

#

##################################################

#####################

#

#########################################################

#

########################################

################

############ ###

###############

###############

####

#####

######

## #############

#

######

####################

###############

#######################

##########################################

##

#

###

#########################

########

###################

#######################

####

##########

##########

########

########

###########################################

#

########

####

##

###################

########

#################

##########################

##############

#########

#######

#########

###########

#

###

##########

#

###############

#########

################

#################

#####

#########################

########

###########

#######################

########

#

###

##########

###########

####

#

########## ########################

###

#

#

####

#####################

########

################

##########################

##############

########

################

#########################################

###########

#######################

########

###############

########################

##############

########

##############

##

##########################################

###########################

############

##

##

##

####

#

#

##

#

#

###########

################

##################### ########

######################

#################

###########

##

##

# ##

## # ### #### ## #

# ## ### # ##### ### ## ## ##

## # ### ##

## # # ## ## #

## ### ## ## ##### # ## ### ### # ## # #### ## ## ## ### # ## ### ## ## # ## ## ### ## ## ## # ## ## ## ### ##

# ### ## #### # ### # # ## ## # ## # ## # # ## ## ## ## ## #### # # # ## ## ## ## # # #### #### ## # # ## # ### ### ## # ### # ### ### #### # # ### ## # # # ## # ### # ## ## ## ### ### ### # ## # ## ## # # ### # ## ## ## # ## ## ### ## ## #### ### ## ## ## ## # #### ## # ## ## ## #### ### # # ### ## ### #### # ## ### #### # # # ## ##### # ## ## #### ## ## # ## ## # ## ### # ##### ## #### # ## ### ## ## ##### #### ### # ## ### ### # # ### # # ## ### ## ## # ## #### # # # ## #### #### ## ## ### ## ### ####### # # ### # ### ## ## ### # ## ### ## # ## # ## # ### # ## ## ## ### ## ## ## ## ## ## # ## ### ## ## # ## ## ## # ##### ##### ### #### ## # # # # # ## # ## ## ### ## # # ## ### ### # ### #

# # ### ## #### ## ### ## ## #

# ## #### ### # #### ##

# ## ##

###

#

#

#

###

##### # ## ## ### ## ### ###### # ## # ## ### ### #### #

#### ## # ### #

# ### ### ### ## ## # # ### # ### ### # ### ## ## ## ##

#### #

### ### #### #### # #### ## # # ## ##### ## ###

## # ### #### ##

# ####

##

##

# ###

� � �

� �

1 – 50 2 – 100 3 – 500 4 – 1,000 5 – 2,000

Further improvements

• Improved sampling methods • Improved modelling methods • Improved predictor variables

• In-company research • Private-public research partnership

Research partnership

Avia-GIS initiated EPIDEMOIST “Improving epidemiological modelling using satellite derived soil moisture proxies” in collaboration with UGent to improve presence/absence modelling of disease vectors through: 1. The integration of soil moisture proxies other than the

currently used NDVI proxy, and 2. The use of machine learning models instead of the

popular and frequently used statistical models.

Results

• Two proxies derived from MODIS visible near infrared and thermal infrared data: o Soil dryness index derived from daily surface temperatures with

topographic normalization o Apparent thermal inertia

• One proxies derived from the Advanced Synthetic Aperture Radar Wide Swath (Envisat): o ASAR WS soil moisture index

Outputs 1/3

• PhD Jasper Van doninck, Remotely sensed soil moisture proxies with application to modelling the spatial distribution of Culicoides imicola, PhD thesis, Ghent University, 169 p., promoters: N. Verhoest en B. De Baets, 16 April 2013

Outputs 2/3

• Peters, J., De Baets, B., Van doninck, J., Calvete, C., Lucientes, J., De Clercq, E., Ducheyne, E., Verhoest, N.E.C., 2011. Absence reduction in entomological surveillance data to improve niche-based distribution models for Culicoides imicola. Preventive Veterinary Medicine, 100(1), pp. 15-28.

• Van doninck, J., Peters, J., De Baets, B., De Clercq, E.M., Ducheyne, E., Verhoest, N.E.C., 2011. The potential of multi-temporal Aqua and Terra MODIS apparent thermal inertia as a soil moisture indicator. International Journal of Applied Earth Observation and Geo-information, 13(6), pp. 934-941.

• Van doninck J., Peters, J., Lievens, H., De Baets, B., Verhoest, N.E.C., 2012. Accounting for seasonality in a soil moisture change detection algorithm for ASAR Wide Swath time series. Hydrology and Earth System Sciences, 16(3), pp. 773-786.

• Van doninck, J., Peters, J., De Baets, B., De Clercq, E.M., Ducheyne, E., Verhoest, N.E.C., 2012. Influence of topographic normalization on the vegetation index-surface temperature relationship. Journal of Applied Remote Sensing, 6, 063518.

Outputs 3/3

• Peters, J., Conte, A., Van doninck, J., Verhoest, N.E.C., De Clercq, E., Goffredo, M., De Baets, B., Hendrickx, G., Ducheyne, E., 2013. On the relation between spatio-temporal soil moisture dynamics and the geographical distribution of Culicoides imicola. Eco-hydrology, in press.

• Peters, J., Waegeman, W., Van doninck, J., Ducheyne, E., Calvete, C., Lucientes, J., Verhoest, N.E.C., De Baets, B., 2013. Predicting spatio-temporal Culicoides imicola distributions based on environmental habitat characteristics and spatial dispersal, Ecological Modelling, submitted.

• Van doninck J., De Baets B., Peters J., Hendrickx G., Ducheyne E., Verhoest N.E.C., 2013. Modelling the spatial distribution of Culicoides imicola: climatic versus remote sensing data, International Journal of Applied Earth Observation and Geo-information, submitted.

• Van doninck J., Wagner W., Melzer T., De Baets B., Verhoest N.E.C., 2013. Seasonality in the Angular Dependence of ASAR Wide Swath Backscatter, Geoscience and Remote Sensing Letters, submitted.

Ongoing

• Including soil moisture proxies in spatial models of other disease vectors

• Developing automated processing chains for MODIS derived soil-moisture proxies

• Waiting for Sentinel…

Questions? www.avia-gis.com

Development Partners

Avia-GIS bvba

• Coordinator • Spatial sampling strategy • Spatial information systems • System integration • Secure database management • Landscape model service • Ad hoc full service development and support • Training • Going to the market and upscaling

ERGO Ltd

• Low resolution EO time series o Fourier processing o Automated processing chain o New and alternative platforms and instruments

• Other explanatory spatial datalayers • Distribution modeling

o Software development o Model development o Technical support

• Ad hoc full service development and support • Training

r ments

MEDES

• Satellite navigation • Satellite communication • Mobile applications

o Software development o Imogène platform o Database development

• Technical support

Emerging Vector-borne Diseases

Mosquito-borne diseases

Culex pipiens e.g. West Nile Fever

CC

Tick-borne diseases

Ixodes ricinus e.g. Tick-borne encephalitis

Rodent-borne diseases

Myodes glareolus e.g. Hanta virus

MyodesMMyoddes

Midge-borne diseases

Culicoides sp. e.g. Bluetongue

Sandfly-borne diseases

Phlebotomus sp.Toscana, Sicilian and Naples virus

otomus spotomuuss sspp

Increased traffic of persons

Map of airtraffic routes Risk to introduce pathogens from ‘exotic’ places

MMap offf aiirttraffffffiic routtes

Increased traffic of goods

Map of maritime routes Risk to introduce new vectors of disease (containers)

utesutes

Tiger mosquito

Capable of locally transmitting imported exotic pathogens e.g. dengue, chikungunya

Tiger mosquito current presence

Observed distribution VBORNET Apr 2013

Tiger mosquito potential spread

Current suitability map and future changes

GIS platform

Sampling strategy

Category Sample Urban 32 Agriculture Cattle 32 Sheep 32 Pigs 32 Poultry 32 Recreational 32 TOTAL 192

Field sampling

Identification

Progress monitoring

VECMAP community

Sam

plin

g St

rate

gy

Mob

ile a

pplic

atio

ns

Fiel

d D

ata

Anal

ysis

Dis

trib

utio

n M

odel

s

Land

scap

e M

odel

s

Albania NIPH M M M Belgium RBIN Oth Oth

Belgium (Benin) UCL T T Switzerland UZH M M M M

Denmark DTU M M M M Spain UIB M M M M Italy CAA (2) M M M M

Netherlands CMV MT MT MT MT Netherlands RIVM T T T T

Portugal INSA M M M United Kingdom CEH M M M M M United Kingdom HPA M M M M

Various EU EDENext RT RT RT RT

Distribution models

Landscape models Galba truncatula

Albania Spread Aedes albopictus

National Institute of Public Health Tirana, Albania

Belgium Modeling historical inventory data

Royal Belgian Institute of Natural Sciences Brussels, Belgium

Benin Spread of Rhipicephalus microplus

Université Catholique de Louvain Louvain-la-Neuve, Belgium

Denmark Mosquito distribution/ livestock

Technical University of Denmark Copenhagen, Denmark

Spain Urban distribution of Ae. albopictus

University of the Balearic Islands Palma de Mallorca, Spain

Italy Nuisance Culex pipiens

Centro Agricultura Ambiente “G. Nicoli” Crevalcore, Italy

England Mosquito distribution

Health Protection England Salisbury, UK

UAVLandscape models

Spread Ae. Albopictus Europe

Distribution Mosquitoes Benelux

Aedes vexans Culex pipiens Coquillettidia richiardii

Mosquito diversity Belgium

Distribution Culicoides Spain

Invasive species Europe

Rhipicephalus sanguineus Aedes japonicus Carpobrotus edulis Procambarus clarkii

Vectors RVF Europe

GAP analysis Phlebotomines EU

Natoye Ae. japonicus