visual interpretation for forest change detection in fiji

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Visual Interpretation Visual Interpretation for Forest Change for Forest Change Detection in Fiji Detection in Fiji Vilisi Tokalauvere Vilisi Tokalauvere SOPAC SOPAC Pacific GIS&RS Conference Pacific GIS&RS Conference November 2011 November 2011 Lotus Building, Suva Lotus Building, Suva

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Visual Interpretation for Forest Change Detection in Fiji. Vilisi Tokalauvere SOPAC Pacific GIS&RS Conference November 2011 Lotus Building, Suva. Purpose of Forest Mapping. Direct comparison of digital forest layers 1991 and 2001 did not work - PowerPoint PPT Presentation

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Page 1: Visual Interpretation for Forest Change Detection in Fiji

Visual Interpretation for Visual Interpretation for Forest Change Detection in Forest Change Detection in

FijiFiji

Vilisi TokalauvereVilisi Tokalauvere

SOPACSOPACPacific GIS&RS ConferencePacific GIS&RS Conference

November 2011November 2011

Lotus Building, SuvaLotus Building, Suva

Page 2: Visual Interpretation for Forest Change Detection in Fiji

Purpose of Forest MappingPurpose of Forest Mapping

• Direct comparison of digital forest Direct comparison of digital forest layers 1991 and 2001 did not worklayers 1991 and 2001 did not work

• Layer 1991 and layer 2001 had to be Layer 1991 and layer 2001 had to be adjusted through visual image adjusted through visual image interpretationinterpretation

• Forest layers 1991 and 2001 had to Forest layers 1991 and 2001 had to be geometrically correctedbe geometrically corrected

Page 3: Visual Interpretation for Forest Change Detection in Fiji

Why visual Why visual interpretation? interpretation?

•Pacific Island Country Pacific Island Country conditions are different!conditions are different!–Transparent workTransparent work–Local knowledge addedLocal knowledge added–Difficult atmospheric Difficult atmospheric conditionsconditions

Page 4: Visual Interpretation for Forest Change Detection in Fiji

Forest Cover Mapping 1991Forest Cover Mapping 1991

•Supervised maximum Supervised maximum likelihood classification with likelihood classification with DTM involvementDTM involvement

•Conducted by a company in Conducted by a company in northern Germanynorthern Germany

Page 5: Visual Interpretation for Forest Change Detection in Fiji

Forest FunctionForest FunctionMap 1992Map 1992

Raster data GIS applicationRaster data GIS application

Page 6: Visual Interpretation for Forest Change Detection in Fiji

Forest Inventory 2006Forest Inventory 2006• Conducted with image data recorded Conducted with image data recorded

2001/20022001/2002• Condition maximum likelihood Condition maximum likelihood

classification classification • Solution: Unsupervised classification Solution: Unsupervised classification

with maximum visual interaction with maximum visual interaction • Mask buildingMask building• Reducing 3 forest densities (1991) to 2Reducing 3 forest densities (1991) to 2

Page 7: Visual Interpretation for Forest Change Detection in Fiji

Water Mask AppliedWater Mask Applied

Page 8: Visual Interpretation for Forest Change Detection in Fiji

Digitising in MapInfoDigitising in MapInfoDigitising in MapInfoDigitising in MapInfo

Page 9: Visual Interpretation for Forest Change Detection in Fiji

ERDAS Mangrove MaskERDAS Mangrove Mask

Mangrove mask Vanua Levu

Page 10: Visual Interpretation for Forest Change Detection in Fiji

HazeHazeHazeHaze

Different thresholds

Page 11: Visual Interpretation for Forest Change Detection in Fiji

Visual InterpretationVisual Interpretation

Mangrove Forest

Pine Plantation

Page 12: Visual Interpretation for Forest Change Detection in Fiji

DigitisingDigitising

Page 13: Visual Interpretation for Forest Change Detection in Fiji

Decisions During DigitisingDecisions During Digitising

Clouds Y/N ?Clouds Y/N ? YesYes Digitising from Forest Digitising from Forest Layer 1991Layer 1991

NoNo

Digitising from Digitising from PlantationPlantationLayer 1991Layer 1991

YesYesPlantation area Y/N ?Plantation area Y/N ?

Digitising from both image backdropsDigitising from both image backdrops

NoNo

Page 14: Visual Interpretation for Forest Change Detection in Fiji

Toggle between BackdropsToggle between Backdrops

Page 15: Visual Interpretation for Forest Change Detection in Fiji

Digitising 1991 LayerDigitising 1991 Layer

Page 16: Visual Interpretation for Forest Change Detection in Fiji

Digitising 2001 Forest LayerDigitising 2001 Forest Layer

Page 17: Visual Interpretation for Forest Change Detection in Fiji

10x 10 km GRID10x 10 km GRID

Page 18: Visual Interpretation for Forest Change Detection in Fiji

Description DatabaseDescription Database

Page 19: Visual Interpretation for Forest Change Detection in Fiji

Vector to RasterVector to Raster

Page 20: Visual Interpretation for Forest Change Detection in Fiji

MapInfo to ERDASMapInfo to ERDAS

• Forest, Mangrove polygons exported Forest, Mangrove polygons exported (DXF) to ERDAS.(DXF) to ERDAS.

• Add Projection.Add Projection.• Convert to raster.Convert to raster.• Add to forest cover layer. Add to forest cover layer.

Page 21: Visual Interpretation for Forest Change Detection in Fiji

Reducing to Mappable Reducing to Mappable Area Size Area Size

ClumpClump

EliminateEliminate

Cluster No. 23841.2 ha

All clusters < 1 hectare are joined with the next biggest neighbour class

Page 22: Visual Interpretation for Forest Change Detection in Fiji

1Hectare Accumulation1Hectare Accumulation1Hectare Accumulation1Hectare Accumulation

Page 23: Visual Interpretation for Forest Change Detection in Fiji

Field VerificationField Verification

Page 24: Visual Interpretation for Forest Change Detection in Fiji

Next..Next..

• Fiji Department of Agriculture – Fiji Department of Agriculture – agriculture, bare land, pasture landagriculture, bare land, pasture land

Page 25: Visual Interpretation for Forest Change Detection in Fiji

Vinaka !Vinaka !