Connecting science, policy and communities for resilient Southeast Asian peatlands
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Connecting science, policy and communities for resilient Southeast Asian peatlands
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Connecting science, policy and communities for resilient Southeast Asian peatlands
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Connecting science, policy and communities for resilient Southeast Asian peatlands
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Connecting science, policy and communities for resilient Southeast Asian peatlands
|
Connecting science, policy and communities for resilient Southeast Asian peatlands
|
Connecting science, policy and communities for resilient Southeast Asian peatlands
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Connecting science, policy and communities for resilient Southeast Asian peatlands
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Connecting science, policy and communities for resilient Southeast Asian peatlands
|
Connecting science, policy and communities for resilient Southeast Asian peatlands
Interactive peatland map

Explore peatland extent and uncertainty

Compare peatland datasets across Southeast Asia, inspect carbon estimates, and explore where spatial definitions disagree.

Explore the spatial distribution of peatlands across Southeast Asia using our interactive Google Earth Engine map. Use the layer controls to display and compare peatland extent, forest loss, oil palm plantations, carbon emissions, canal density and protected areas. Zoom into areas of interest, toggle individual layers on and off, and explore spatial patterns and relationships between datasets.

Interactive Peatland Mapping Platform (Google Earth Engine)
Open data

Datasets behind the map

The interactive map brings together publicly available geospatial datasets from multiple sources. Below, you can explore the datasets used in the platform, organised by theme, with descriptions of their content and methods. Links to the original data sources and publications are provided to support data download, further analysis and research.

Peatland extent

Gumbricht et al. (2017)

An expert system model for mapping tropical wetland and peatland

Estimates wetland development from water balance, seasonality and hydrogeomorphology, then extracts peat-forming wetland.

Xu et al. (2017)

PEATMAP: refining estimates of global peatland distribution

A meta-analysis combining multiple studies and geospatial sources at the finest available resolution. Indonesian data derives from Ritung et al. (2011); Malaysian data from Wetlands International (2010).

Protected areas

UNEP-WCMC and IUCN

World Database on Protected Areas

A global database of marine and terrestrial protected areas, updated monthly.

Global Forest Watch

Sarawak protected areas

Boundaries from the Sarawak Forestry Department, covering national parks, wildlife sanctuaries and nature reserves — some gazetted, some proposed.

Forest loss

Hansen et al. (2013)

High-resolution global maps of 21st-century forest cover change

Tree cover in 2000 plus annual loss and gain layers, generated from Landsat 5, 7 and 8 imagery. Loss is defined as stand-replacement disturbance at Landsat pixel scale.

Tyukavina et al. (2022)

Global trends of forest loss due to fire, 2001–2019

30-metre resolution mapping that separates forest loss due to fire from other disturbance drivers, validated against an unbiased reference sample.

Oil palm plantation

Descals et al. (2021)

High-resolution global industrial and smallholder oil palm map for 2019

10-metre resolution mapping distinguishing industrial-scale from smallholder plantations, derived from Sentinel-1 and Sentinel-2 imagery.

Global Forest Watch

Spatial Database of Planted Trees 2.0

Planted forest and tree-crop data compiled from governments, NGOs and researchers, covering oil palm, rubber, coffee, coconut and cocoa. Mostly anchored around 2020.

Canal density

Dadap et al. (2021)

Drainage canals in Southeast Asian peatlands increase carbon emissions

Manually digitised drainage canals across Sumatra, Borneo and Peninsular Malaysia from 2015–2019 imagery. Finds canals present in 65% of the region’s peatlands.

Greenhouse gases

Harris et al. (2021)

Global maps of twenty-first century forest carbon fluxes

Emissions, removals and net carbon balance at 30-metre scale for 2001–2019.