Aceh.

Forestry Information System (FIS) User Guides

The TOR of two Asian Development Bank projects, ETESP 38 and ETESP 39-P2, specified that project will develop a Forestry Information System (FIS) as well as guidelines for the use of the FIS. The guidelines were developed as a series of User Guides in association with a number of forest management tools and applications which were integrated within the FIS as Forest Management Modules (FMM). The choice of modules reflected only forest management processes currently (2008-1010) considered as high priority for the Agency for Forestry and Plantations (DisHutBun) and which could be delivered within the project scope.

Detailed Documentation of FIS Components below categorizes User Guides by management structure, and describes representative uses as well as essential outputs, use and training requirements.

Functionally, the FIS components support forest management as follows:

• Quantification and Classification and of the Aceh Forest Resource Base;

• Determination of the most suitable land for Plantation Forests and Tree Crops;

• Environmental Sensitivity Mapping;

• Forest Fire Risk management for Protection, Land Rehabilitation, and Social Forestry

• Remote Sensing Applications at the Watershed Level;

• Other Technical and Graphical Information Products which augment the utility, visibility sustainability of a modular, scalable FIS.

All the user guide are accessible through below link:

1. https://s3.benny.istan.to/FIS/ADB_ETESP_P39Part2_FIS_UG_ArcCatalogAndMetadata.pdf

2. https://s3.benny.istan.to/FIS/ADB_ETESP_P39Part2_FIS_UG_ArcGISServer.pdf

3. https://s3.benny.istan.to/FIS/ADB_ETESP_P39Part2_FIS_UG_CoordinateConversion.pdf

4. https://s3.benny.istan.to/FIS/ADB_ETESP_P39Part2_FIS_UG_DegradedLand.pdf

5. https://s3.benny.istan.to/FIS/ADB_ETESP_P39Part2_FIS_UG_EnvironmentSensitivity.pdf

6. https://s3.benny.istan.to/FIS/ADB_ETESP_P39Part2_FIS_UG_ForestDisturbance.pdf

7. https://s3.benny.istan.to/FIS/ADB_ETESP_P39Part2_FIS_UG_ForestFireRisk.pdf

8. https://s3.benny.istan.to/FIS/ADB_ETESP_P39Part2_FIS_UG_InstallationAndConfiguration.pdf

9. https://s3.benny.istan.to/FIS/ADB_ETESP_P39Part2_FIS_UG_LandAvailabilityForForestProduction.pdf

10. https://s3.benny.istan.to/FIS/ADB_ETESP_P39Part2_FIS_UG_LandCover.pdf

11. https://s3.benny.istan.to/FIS/ADB_ETESP_P39Part2_FIS_UG_LandSuitability.pdf

12. https://s3.benny.istan.to/FIS/ADB_ETESP_P39Part2_FIS_UG_NonSpatialDatabase.pdf

13. https://s3.benny.istan.to/FIS/ADB_ETESP_P39Part2_FIS_UG_TimberVolumeEstimated.pdf

Some of geospatial datasets from this project also available via below links:

Arahan Fungsi Hutan 1999 - 2000, Biodiversity regions, Birds, Coastline, Contour, Environmental Sensitivity, Forest concession, Forest Cover 1945, Forest Cover 1980, Forest Cover 1990, Forest Cover 2002, Forest Cover 2005, Forest Cover 2006, Forest Landuse 2000, Forest Landuse 2005, Forest Landuse 2007, Forest Landuse Change Historical 2000 - 2005 -2007, Geology, Hydrogeology, Illegal activities 1999 - 2004, Industrial Forest, Irrigation schemes, Land availability for forest concession 2007, RePPProT Landsystem, Leuser Ecosystem, Leuser National Park, Logging point, LREP Landunit Geomorphology, LREP Landunit Vegetation, Mammals, Marine and Fisheries, Mining Concession, Mining existing Gas Wells, Mining existing Oil Wells, Mining Minerals, Mining Potential Coal, Mining Potential Gas, Mining Potential PLTA, Mining Sand and Gravel, Oil palm, Penunjukan Kawasan Hutan dan Perairan 2000 - present, Plantation,  Protected Areas, River, Road, Tata Guna Hutan Kesepakatan 1990 - 1999, Timber Concession, Toponymy, Transmigration Areas, Ulumasen Ecosystem, Watershed,

My role in this project was as a GIS Modeler and working in GIS and Forest Information System (FIS) Development and Information Product Work Group. Below map is one of example output from the potential soil loss model that I develop.

Reference:

1. http://www.adb.org/Projects/ETESP/

2. http://www.adb.org/tsunami/default.asp;

Team: GIS, Remote Sensing, Database, IT, Forestry, Planning, Soil, Institutional Specialist and Graphic Designer, led by Maurice Bowen - http://mauricebowen.com

Tools: ArcGIS Family (Desktop, Server, SDE), Arcpy, Python, Drupal, OpenLayers, MS4W, PostgreSQL, Bizagi Process Modeler.

Year: 2008 - 2009

Potential soil loss based on RUSLE model, only takes into account erosional factors and does not consider the effect of sediment deposition. Annual erosion is calculated by combining spatially explicit raster maps according to this formula:

E = R K LS C P

Where: E is Annual Erosion, R is Rainfall Erosivity Factor, K is Soil Erodibility Factor, LS is Slope Factor, C is Vegetative Cover and P is Management Factor.

The SRTM30 Dataset was used to calculate the slope factor (LS). The Landsat land cover dataset, classified according to the IGBP (International Geosphere-Biosphere Programme) scheme (based on http://duckwater.bu.edu/lc/mod12q1.html), was used to calculate the vegetative management factor (CP). K was calculated based on the USDA global soil sub order dataset, available through the NRCS (http://soils.usda.gov/technical/classification/taxonomy/). The erodibility of the soil is determined by the following soil properties: organic matter content, percentage of silt and fine sand, percentage of sand, soil texture and permeability. Using interpolated daily global rainfall data from CMORPH – NOAA (ftp.cpc.ncep.noaa.gov), the average rainfall erosivity index (R) was calculated. The equation to be used to calculate R is based on ILWIS application guide chapter 23 (ftp.itc.nl/pub/ilwis/pdf/appch23.pdf).

The calculated potential soil loss is expressed at scale 1:250.000. The model resuires a higher resolution input for more accurate calculation of potential soil loss.