GCF Kaltim Project
Preliminary Results of Mapping Carbon at the Pixel Level in East Kalimantan
Global Observatory for Ecosystem Services,Department of Forestry, Michigan State University101 Manly Miles Building, 1405 S. Harrison Road,
East Lansing, Michigan 48823, (517) 355-0181
GCF Kaltim Project
Dataset
• Landsat 7 ETM+ (2012-2014)– 41 Scenes
• Landsat 8 OLI (2013-2014)– 54 Scenes
• GLOVIS (http://glovis.usgs.gov/)• 16 WRS-2 path/row scenes
GCF Kaltim Project
Data and MethodsPreliminary Workflow – Atmospheric Corrections, Masking,
and gap-filling:• Stack bands of raw DN’s
– ETM+ bands 1-5 and 7– OLI bands 1-7
• Convert DN’s to at-sensor spectral radiance (2_etm_dn_rads.gmd, 2_oli_dn_rads.gmd)
• Convert radiance to top-of-atmosphere reflectance (3_etm_rads_toaref.gmd, 3_oli_rads_toaref.gmd)– ETM+ bands 1-5 and 7– OLI bands 2-7– Data-type float single
• Mask clouds and cloud shadows (fmask and/or NDXI methods)
• Generate Modified Soil-Adjusted Vegetation Index-2 Product (4_toa_ref_msavi2.gmd)
• Determine endmember values related to bare soil and 100% canopy cover
• Generate vegetation fractional cover (5_fc_model.gmd)• Mosaic fractional cover• Calculate pixel-level carbon values for the entire
province
Scenes processed individually, mosaicked to create path/row gap-filled full-band scene, and then the path/row scenes are mosaicked to create a full-band province scene
Scenes processed individually, mosaicked to create path/row gap-filled fC scene, then those path row scenes are mosaicked to create a province wide fC
GCF Kaltim Project
Procedure for Cloud & Cloud Shadow Masking
GCF Kaltim Project
Full Band Mosaic Pre Gap-FillBase map scenes comprised of ETM+ and OLI data Thematic map showing data gaps
57% Coverage
GCF Kaltim Project
Full Band Mosaic with Gap-Fill(false natural color)
ERDAS MosaicPro Settings
• RMS Tolerance = 0.1 pixels
• Resample Method = Nearest Neighbor
• Output Grid Cell Size = 30 x 30 meters
• Overlap Function = Overlay
• Output Layers = 1-6
• Product dataset clipped using Kaltim political boundary shapefile
• 91% Coverage
GCF Kaltim Project
Pixel Lineage
GCF Kaltim Project
Vegetation Fractional Cover (fC)
100 = Full Canopy Cover30 = Minimum Accepted Canopy Cover< 30 = Non-forest
Pixel “un-mixing” for each scene using scene-specificend-member values (MSAVI-2)
fC products combined to create gap-filled path/row level product
Path/row gap-filled fC products mosaicked tocreate province-level product
Kaltim political boundary shapefile utilized to clip raster dataset
Level-slicing applied to remove all fC valuesless than 30
GCF Kaltim Project
Method 1: Stratified, Up and Down Calibrated Carbon Values
GCF Kaltim Project
Kaltim Forest StrataShapefile Source: Indonesian Ministry of Forestry
DESCRIPTION Area (Ha)Primary Dryland Forest 5711030Secondary Dryland Forest 7387180Primary Swamp Forest 34496Secondary Swamp Forest 457946Secondary Mangrove Forest 331487Non-Forest 5738881
Biomass and fC values used per strata
Forest type strataMg C per Ha (Central
Kalimantan) Mean fC (%)Primary dryland 276.4 84.96Secondary dryland 201 88.73Primary swamp 149.7 79.83Secondary swamp 123.6 78.42Secondary mangrove 124.7 80.5
GCF Kaltim Project
Stratified Carbon Map
Zonal Sum
Forest Strata Total Mg C
Primary dryland 1,414,785,383
Secondary dryland 1,360,978,817
Primary swamp 4,255,504
Secondary swamp 102,930,070
Secondary mangrove 30,970,085
Total Mg C 2,913,919,859
GCF Kaltim Project
Method 2: OLS Regression
GCF Kaltim Project
TNC Biomass Plots• 175 total observations• Outliers removed• 45 observations used• fC 3x3 focal mean processing • fC values extracted at each point feature using bilinear interpolation• OLS Regression to relate fC with observed C• Adjusted R squared = 0.624• Scaled up to province level
GCF Kaltim Project
C Map Derived from Biomass Plot DataZonal Sum (Regression)
Forest Strata Total Mg C
Primary dryland 1,105,454,087
Secondary dryland 1,516,188,803
Primary swamp 5,733,977
Secondary swamp 49,422,393
Secondary mangrove 79,618,996
Total Mg C 2,756,418,256
Zonal Sum (Stratified)
Forest Strata Total Mg C
Primary dryland 1,414,785,383
Secondary dryland 1,360,978,817
Primary swamp 4,255,504
Secondary swamp 102,930,070
Secondary mangrove 30,970,085
Total Mg C 2,913,919,859
GCF Kaltim Project
Comparison of Measured C (UNMUL/TNC Data) with Predicted C Using 3 Different Allometric Equations
GCF Kaltim Project
• Python script to automate image pre-processing
• New dataset comprised of OLI 2013-2014 - Possibly negate using ETM + data
• Fmask over other masking processes reduces errors of omission/ commission
• Refine mosaic/gap-filling process to improve spectral normalization
• 2014 biomass plot data
Potential Improvements
for Next Version