Project detail
Year of implementation
2017
Executor
Harapan Bersama
Vegetation
Depth
1.5 m
Width
3 m
Spillway
40 cm
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
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, 2019
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, 2017-2020
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
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 2020.
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 October 2020.
2017
Harapan Bersama
1.5 m
3 m
40 cm
2017
APBN
-
-
-
-
-
-
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 -
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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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