GRAS Application for the Palm Oil Sector · (12,02 von der Mitte | 0,68 von links) (12,02 von der...

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GRAS Application for the Palm Oil Sector Norbert Schmitz, Managing Director GRAS Global Risk Assessment Services GmbH GRAS Workshop, São Paulo, October 21, 2015

Transcript of GRAS Application for the Palm Oil Sector · (12,02 von der Mitte | 0,68 von links) (12,02 von der...

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GRAS Application for the Palm Oil SectorNorbert Schmitz, Managing Director GRAS Global Risk Assessment Services GmbH

von links) (12,02 von der Mitte | 0,68 von rechts

GRAS Workshop, São Paulo, October 21, 2015

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Land use change has a major impact on GHG performance. Deforestation free

supply chains can be verified with GRAS

Consideration of social

sustainability Indicators

Protection of primary forests

Protection of high carbon stock

areas (e.g. peat and wetlands)

Protection of highly biodiverse

areas

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GRAS provides an objective and consistent risk analysis. Audits become more

efficient and credibility will be improved

Benefits from the use of GRAS for certification:

• Audits become more efficient, effective and secure

• Increase of transparency and credibility

• Proved commitment of sustainability obligation and zero-deforestation

• Consistent and objective risk analysis by auditors based on better information through the

use of GRAS prior to audit

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GRAS displays information about biodiversity coming from international and

national sources

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Biodiversity information are combined inside GRAS into No Go Areas and Risk

Areas

No Go Areas Risk Areas

• High priority for nature conservation areas

• Not suitable for sustainable production of

biomass

• Partially protected and/or potentially

biodiverse areas

• Agricultural activities may be allowed

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Carbon Stock: Information about carbon stored in above and below ground is also

displayed inside the GRAS Tool

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Social Indices: GRAS shows a compilation of recognized social indices on national

level

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Land Use Change: GRAS uses the Enhanced Vegetation Index (EVI) to verify

potential land use change

• GRAS EVI algorithm is based on 15 years record of

MODIS satellite image data

• Each curve represents the variation over time of the

Enhanced Vegetation Index (EVI)

• EVI highlights the land cover variations. It is computed

using the surface reflectance of the Red and NIR

(near infrared) bands available in MODIS satellite

images

• One MODIS-Pixel represents an area of 250 x 250 m

• One can identify typical EVI patterns over time, each

one representing specific land uses

• Thus, clear breaks in regular patterns can be identified

as land use change (LUC)

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GRAS risk assessment indicates where and when to look for deforestation

activities

Palm

concession

GRAS deforestation risk assessment

Deforestation

risk map

Possible

deforestation

date

Continuous tree cover

Was the concession already

established before 2015 and

the change observed is merely

palm replanting?

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GRAS Landsat imagery in combination with EVI timeline analysis detects even

most recent deforestation

Jun 2013Dec 2014

Apr 2015

1

2

3

1

23

LUC

in 2015

Natural forestPalm

plantation

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GRAS enhanced Landsat images show the exact development of deforestation

activities

05.04.2013

30.10.2013

08.04.2014

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Landsat time-series is also able to detect the establishment of a plantation over

time

02.05.2014

09.10.2014

06.12.2014

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GRAS additionally is able to detect the differences between replanting activities

and deforestation

Deforestation Risk Map Landsat image from 2002

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Landsat time-series is also able to detect plantations which are established for a

longer time

Aug. 2002

Sept. 2007

Sept. 2015

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GRAS is an independent and powerful tool to support sustainability certification and

other purposes

• GRAS is an easy to use, one stop solution provider for sustainability assessments of

agricultural and forestry activities and for the implementation of zero deforestation

commitments

• GRAS provides geo-referenced data on land use change, biodiversity, carbon stock and

social indices

• The combination of EVI and Landsat in GRAS provides a powerful tool for detecting even

the most recent deforestations

• GRAS is independent. It can be used for certifications in ISCC, RSPO and other schemes

• GRAS can be applied also for purposes other than certification, e.g. to assess sourcing

areas, expansion areas, to facilitate due diligences etc.