Project detail
Year of implementation
2017
Executor
Harapan Bersama
Vegetation
Depth
1.5 m
Width
3 m
Spillway
40 cm
Provincial boundaries in the seven prioritized peatland restoration provinces.
Geospatial Information Agency, 2017.
District boundaries in the seven peatland restoration priority provinces.
Geospatial Information Agency, 2017
Subdistrict boundaries in the seven peatland restoration priority provinces.
Geospatial Information Agency, 2017
Village boundaries in the seven peatland restoration priority provinces. The boundaries are indicative, and may differ from the actual village boundaries.
General Elections Commission, 2017
Distribution of rivers in Indonesia.
Geospatial Information Agency, 2016
Concession areas zoned for logging, pulp & paper, and plantations by the relevant ministry.
Ministry of Agrarian and Spatial Plan, 2017 and Ministry of Forestry and Environment, 2017
Areas with an active moratorium on new concession permits to protect remaining forest and peatland. Moratorium areas were established by the Ministry of the Environment and Forestry in 2011. The most current map of moratorium areas is Revision XV, issued in December 2019.
Ministry of Environment and Forestry, 2019
Forest cover, including primary and secondary forests as designated in the Ministry of the Environment and Forestry land cover map, including dryland, peat, and mangrove. Data is calculated through analysis of Landsat satellite imagery.
Ministry of Environment and Forestry, 2014
Peat forest cover is forest cover that falls on the peatland. Forest cover, including primary and secondary forests as designated in the Ministry of the Environment and Forestry land cover map, including dry land, swamp, and mangrove. Data is calculated through analysis of Landsat satellite imagery.
Ministry of Environment and Forestry, 2014
Ministry of the Environment and Forestry zoning designations in forest areas, including: Conservation Forest, Protected Forest, and Production Forest.
Ministry of Environment and Forestry, 2016
Distribution of peatlands in seven priority provinces for peat restoration in Indonesia.
Indonesian Center for Agricultural Land Resources Research and Development,Ministry of Agriculture, 2019
The depth distribution of peatlands in seven priority provinces for peat restoration in Indonesia
Indonesian Center for Agricultural Land Resources Research and Development,Ministry of Agriculture, 2019
Peat Hydrological Unit (PHU) boundaries per Ministry of the Environment and Forestry Decree No. 129 of 2017. PHUs are peat ecosystems located between two rivers, between a river and a sea, and/or swamps.
Ministry of Environment and Forestry, 2017
Ecological function of the peat ecosystem as assessed by the relevant government ministries. There are two zoning classifications for peat ecosystems in Indonesia, namely:
Ministry of Environment and Forestry, 2017
Distribution of canals located on peatlands. Canal locations are determined with reference to various publicly-available satellite images with resolutions between 5 and 25 meters, depending on availability. This data was last updated in 2017.
Peat Restoration Agency, 2017 and Gadjah Mada University, 2016
Peatland restoration priority areas determined based on the presence of degraded peat, as revealed by data available from relevant ministries and institutions as well as the public. BRG uses this map to plan appropriate peatland restoration interventions based on peatland degradation specifications.
The Peatland Restoration Indicative Map requires detailed field verification to determine the optimal approach to peatland restoration. It is divided into four categories, namely:
Peat Restoration Agency, 2018
Implemented restoration activities related to rewetting, replanting, and revitalization, including:
Peat Restoration Agency
Desa Peduli Gambut (DPG), or 'Peat Care Villages' in English, is a village development program in BRG priority restoration areas. Among other things, the DPG program facilitates spatial planning activities, conflict identification and resolution, recognition and legalization of rights and access, institution building for water and land management, inter-village cooperation, economic empowerment, strengthening of local knowledge, and community fire prevention in rural areas and villages.
Peat Restoration Agency, 2018
BRG's Peat Rewetting Infrastructure data obtained from field verification activity using mobile application named SISFO. Peat rewetting infrastructure included:
Peatland Restoration Agency
Deputy of
Research and Development BRG has conducted research and pilot projects within
the framework for rewetting, revegetation, economic revitalization, and
integrated peatland restoration. These activities collaborate with research
partners from universities, related institutions and ministries. This research
has been carried out from 2017 to 2019 as many as 61 packages with 13 research
topics in 2017, 42 packages with 13 research topics in 2018 and 9 packages with
8 research topics in 2019. The outputs from these activities are the results of
research to provide scientific support for achieving peat restoration targets.
The trials are called research plots which will be used as learning plots for
replication of peatland restoration technology elsewhere.
Peat Restoration Agency
Showcases the spread and number of partner institutions conducting peatland restoration activities in various regions, including government agencies, private sector actors, international organizations, CSOs, and universities.
Peat Restoration Agency, 2018
Showcases the implemented peatland restoration activities in 7 priority provinces conducted and funded by BRG's partner institutions, including government agencies, private sectors actors, international organizations, CSOs, and universities.
Peat Restoration Agency, 2018
Forest Cover Loss is forest cover loss that falls on the peatland and defined as an area change from forest to non-forest.Source: Ministry of Environment and Forestry, 2014-2017
Hot spot distribution data from: FIRMS (Fire Information for Resource Management System), Terra/Aqua's Moderate Resolution Imaging Spectroradiometer (MODIS) with a spatial resolution of 1000 meters, and Visible Infrared Imaging Radiometer Suite (VIIRS) with a spatial resolution of 375 meters. This data is updated daily.
NASA, accessed via Indonesia's National Aeronautics and Space Agency
Burned areas identified by the Ministry of the Environment and Forestry following 2015 and 2016 fires. Data was generated through hot spot analysis, field verification, and Landsat imagery.
Ministry of Environment and Forestry, 2016
Burned areas identified by the Ministry of the Environment and Forestry following 2015 until 2019 fires. Data was generated through hot spot analysis, field verification, and Landsat imagery.
Ministry of Environment and Forestry, 2019. Peatland Restoration Agency 2019
Location of peatland ground water measurement produce by telemetry ground water measurement device. Soil moisture, temperature and rainfall is measured at the location of the device. Data is updated every 30 minutes. Detail can be found in SIPALAGA.
Badan Pengkajian dan Penerapan Teknologi, Badan Restorasi Gambut, Japan International Cooperation Agency, 2017-2018
A per-pixel characterization of change magnitude (positive or negative) based on a model for stable historical behavior in which abnormal changes to data within a specified monitoring period can be detected. This specific product uses the Breaks for Additive Season and Trend algorithm (BFAST) applied to a time-series of the Normalized Difference Moisture Index (NDMI) derived from Landsat satellite data between 2013 and 2018. Years 2013 - 2016 were used to define normal pixel behavior. Deviations from normal were cumulatively summed for years 2016 - 2018. The product displayed in PRIMS is the magnitude of the total deviation from 'normal' over the monitoring period and can be used to detect areas 'less wet' or 'more wet' than expected given the historical normal. History period, monitoring period and other parameters can be modified to produce other outputs as required.
A per-pixel characterization of the linear trend in surface soil moisture as derived from Sentinel-1 C-band radar data upscaled from the Land Data Assimilation System (LDAS) using the PYSMM algorithm to 100 meter pixel size. The LDAS datasets currently provide soil moisture values in units of [kg/m^2] over the entire thickness of the layer indicated. The assumption is made that the density of the water in the soil is 1000 kg/m^3. Data for this product are available approximately every 15 days and come from observations between year 2016 and 2018.
A per-pixel characterization of the linear trend in surface soil moisture as derived from Sentinel-1 C-band radar data upscaled from the Land Data Assimilation System (LDAS) using the PYSMM algorithm to 100 meter pixel size. The LDAS datasets currently provide soil moisture values in units of [kg/m^2] over the entire thickness of the layer indicated. The assumption is made that the density of the water in the soil is 1000 kg/m^3. Data for this product are available approximately every 15 days and come from observations between January 2015 and April 2020.
KHG Pulau Tebing Tinggi
Lintang 102.569728 - Bujur 0.904464
2017
Harapan Bersama
1.5 m
3 m
40 cm
2017
APBN
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Lintang 102.569728 - Bujur 0.904464-
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District .
Latitude
Restoration Year Target :
ha
| Activity | Planned |
Implemented |
|---|---|---|
| Canal Blocking | - unit | - unit |
| Deep well | - unit | - unit |
| Canal backfilling | - unit | - unit |
| Revegetation area | - unit | - unit |
| Revitalization | - unit | - unit |
| Activity | Implemented |
|---|---|
| Canal Blocking | - unit |
| Deep well | - unit |
| Canal backfilling | - unit |
| Revegetation area | - unit |
| Revitalization | - unit |
Total number of village(s) intervened until -
-
Latitude:
Implementasi:
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The interactive map's compatibility is currently limited to desktop screen resolutions (screen widths of at least 1280 pixels); access through mobile and tablet may be suboptimal.
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Lintang 102.569728 - Bujur 0.904464