MINISTRY OF COUNTER NARCOTICS

ISLAMIC REPUBLIC OF AFGHANISTAN

ENTERPRISE GIS SYSTEM&

GIS PROCESSES

Overview

• MCN is tasked to produce the National policy on narcotics, conducts monitoring and evaluates eradication of narcotics production.

• The National Drug Control Strategy states that eradication should be targeted to those areas that have the greatest opportunity for Alternate Livelihood

• GIS is an integral part of the process, and is used in planning, monitoring and evaluation throughout the season.

Background

Extracts from the UNODC 2012 Afghanistan Opium Survey

‘The total area under opium poppy cultivation in Afghanistan in 2012 was estimated at 154,000 hectares, a 18% increase from the previous year.

The vast majority (95%) of opium cultivation took place in nine provinces in Afghanistan’s Southern and Western regions, which include the country’s most insecure provinces. In mirroring the polarization in the security situation between the lawless south and the relatively stable north of the country, this confirms the link between security and opium cultivation observed in previous years.

Based on preliminary results from other countries, opium cultivation in Afghanistan represented 64% of global cultivation in 2012.

Total eradication of opium poppy increased by 154% in 2012 due to an increase in �Governor-led eradication (GLE) in all regions, which accounted for 9,672 hectares.’

Background

Cultivation (Planted)

2009

Cultivation (Planted)

2010

Cultivation (Planted)

2011

Cultivation (Planted)

2012

0

20,000

40,000

60,000

80,000

100,000

120,000

140,000

160,000

180,000

CULTIVATION

Eradicated 2009

Eradicated 2010

Eradicated 2011

Eradicated 2012

0

1,000

2,000

3,000

4,000

5,000

6,000

7,000

8,000

9,000

10,000

ERADICATION

Systems

• ArcGIS for Server 10.1• Arc Editor 10.1• Erdas Imagine• PostgreSQL

DATA & Processes

This process creates a national coverage dataset that graphically depicts where there is the greatest potential for Alternative Livelihoods for the purpose of Governor Led Eradication targeting. This will allow comparison between different provinces.

Potential Access to Livelihoods (Rural) National Stability Program Data – Excel Lights @ Night – Proxy to Electricity Market Data - Vector Roads – Vector Quality of Agriculture District Level Data – Excel Distance to Provincial & District Centres

Developed Model

National Solidarity Program - Output

Lights at Night

Markets

Roads

District Data

Quality of Agriculture

Distance from District Centres

• Buffer 1 to 10km Calculated from the polygon outline

Potential for Alternate Livelihood - National

• Using Field Calculator, the processed raster's are merged to produce the National AL Dataset.

FINAL Raster Calc Weightings

Values Weightings Values Weightings Values Weightings0 0 01 1 12 2 23 3 34 4 45 5 56 6 67 7 78 8 89 9 910 10 10

Values Weightings Values Weightings Values Weightings0 0 01 1 12 2 23 3 34 4 45 5 56 6 67 7 78 8 89 9 910 10 10

Values Weightings012345678910

Values Weightings01234

x10

Projects - NSPs

Quality of Ag

x1.5

x2

Distance to DCs

Distance to PCs

District Level Data x1

Roadsx2

Electricityx1

Marketsx3 x1

LegendPotential Alternative Livelihoods UruzganValue

High Low

Provincial Level – Potential for Alternate Livelihoods

• Each targeted Province, is then clipped to generate a provincial raster, which can be processed independently of the national level, due to differences at the provincial scale and is therefore relative to the Province.

LegendPotential Alternative Livelihoods UruzganValue

High Low

Targeting

• Using Poppy Probability and Historical Eradication data in conjunction with the AL data and socio/political data, target areas can be depicted, these are presented to the Provincial & District Governors. The target areas are used to plan the Poppy Eradication Campaign.

LegendPoppy Probability 9 Year TrendValue

Low

Medium

High

Very High

Summary

• Data is Collected/Updated on an annual cycle and processed.

• Multiple datasets are fused to create the final output, allowing target areas to be generated.

• This process used to take many months to complete, using the model making capability in ArcGIS, it has improved the time it takes to create the final output to a several hours, but also removes the chance of human error in the inputs, and creates a consistent auditable output.

Finally

Thanks for your attention