eu inco-dev strapeat project

8.4.2003 Dr. Florian Siegert, RSS - Remote Sensing Solutions GmbH, München

The role of Remote sensing in monitoring land cover and

impacts on peatlands in Borneo – applications and limitations

PD Dr. Florian Siegert

RSS - Remote Sensing Solutions GmbH www.rssgmbh.de

EU INCO-DEV STRAPEAT PROJECT

STRATEGIES FOR IMPLEMENTING SUSTAINABLE MANAGEMENT OF

PEATLAND IN BORNEO


STRAPEAT – the role of RSS

The task of RSS within the team

• investigate the extent and quality of the peatlands in Borneo using remote sensing techniques

• establish an integrated GIS database which includes remote sensing derived information, ground data and current land use

• establish a GIS based planning tool to support sustainable use of peat lands


STRAPEAT – Achievements

• selection of study sites across Borneo

• Survey on available Landsat ETM 7 scenes and procurement

• Processing of Landsat TM 7 images

GeoreferencingSpectral enhancement, radiometric correctionMosaiking



• Image classification and interpretation (mapping scale 1:100.000)

• Delineation of infrastructure in PAN images (15m ground resolution

• Verification in selected test sites using GPS Techniques (in cooperation with UNPAR, UGM, UNIMAS)


300 kmcourtesy JRC

STRAPEAT study sites


STRAPEAT study site: Kuching-Sarawak


25 km




50 km

Logging in 1998/99



50 km

Logging



50 km

Peat swamp forest


STRAPEAT study site: Sampit-Kalimantan

50 km350 km


STRAPEAT study site: Sampit-Kalimantan

50 km350 km50 km


STRAPEAT – future work

• Change detection analysis in two study sites

Area of two Landsat ETM 7 scenes

Change in land and forest cover between 1999 – 2002

•



Establishment of a GIS project, integration of

• Satellite imagery • Classification results• Change detection results• available GIS data (district boundarys, villages etc)• Ground observations on biodiversity and land use• Biophysical data (hydrology, climate)• Peat depth measurements• 3 D models of peat volume• GPS measurements

• Map production: scale 1:100.000



Specific tasks

• Calculations (area of peat land area, change, carbon storage, carbon emission) (in cooperation with UNIHEL, UNINOT, ALTERRA)

• Analyse impacts on peat catchments (in cooperation with UNINOT, ALTERRA)

• Contribute to the establishment of an interactive GIS (in cooperation with ALTERRA, UNINOT, BPPT

• Training in RS, GPS and GIS


Peat fires, Kalimantan,

BIRD, 24 August 2002

NIR

MIR

TIR

Radiative energy release


Thank you for your attention !



Image classification and interpretation (mapping scale 1:100.000) of the following classes:

Peat landDifferent types of peat swamp forest

o tall peat swamp foresto medium peat swamp foresto low pole peat swamp forest

Mangrove forestRiverine and freshwater swamp forestsDry GrasslandsWetlandsDegraded peat swamp forests

oby logging operation <2 yearsoby logging operation >2 yearsoOther

Fire scars (old and recent)



Land useoAgricultureoLand clearanceoPlantations (Oli palm, pulp wood) oAquaculture (e.g. crab ponds)

Delineation of infrastructure in PAN images (15m ground resolution:

Rivers, lakesInfrastructure

oroads, logging roads, logging railwaysoirrigation canalsovillages

eu inco-dev strapeat project

Documents

study sitesarea

peat catchments

gis project

interactive gis

monitoring land cover

role of remote sensing

ground data

current land useestablish