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Peatland Extent
Gumbricht et al (2017)
An expert system model for mapping tropical wetland and peatland reveals South America the largest contributor
This study estimate wetland development and extracted peat forming wetland for peatland map. The wetland development is gathered by calculate water balance, differentiate seasonal/permanent wet and its hydrogeomorphology.
Xu et al (2017)
PEATMAP: Refining estimates of global peatland distribution based on a meta-analysis
The dataset is results of multiple scientific studies and geospatial information combine. Taking into consideration the relevance of identifying peatland from other land cover types, finest spatial resolution, and most updated data. In the case of Indonesia, the data source originates from Ritung et al. (2011), the old Indonesia government official map. For Malaysia, the data is derived from Wetland International (2010).
Protected Area
UNEP- WCMC and IUCN
World Database on Protected Areas
A global database encompassing both marine and terrestrial protected areas. It is a collaborative project between the UN Environment Programme and the International Union for Conservation of Nature (IUCN). The data undergoes monthly updates.
Global Forest Watch (GFW)
Sarawak Protected Areas
On the GFW website, it is explained tha the boundaries for Protected Areas rely on maps provided by the Sarawak Forestry Department (SFD). These maps delineate Protected Areas in Sarawak, categorizing them as National Parks, Wildlife Sanctuaries, and Nature Reserves. Some of these areas are officially gazetted, while others remain ungazetted and are classified as 'proposed.'
Forest Loss
Hansen et al (2013)
High-Resolution Global Maps of 21st-Century Forest Cover Change
The dataset consists of tree cover in year 2000, tree loss, and tree gain. The tree loss layer is updated annually, the newest is for 2022. Here forest loss define as a stand-replacement disturbance or the complete removal of tree cover canopy at the Landsat pixel scale. The data were generated using multispectral satellite imagery from the Landsat 5 (TM), the Landsat 7 (ETM+), and the Landsat 8 OLI
Global Trends of Forest Loss Due to Fire From 2001 to 2019
its 30-meter resolution satellite map forest loss due to fire vs. other disturbance drivers. the study aligned the mapped forest loss areas with reference data obtained through an unbiased sampling method. the code 4, indicating a high level of certainty regarding forest loss due to fires, corresponds to the sample-based estimate minus its standard error
Oil Palm Plantation
Descals et al (2021)
High resolution global industrial and smallholder oil palm map for 2019
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