A Forest Management Information System has been established for Trivandrum District to achieve maximum accuracy and reliability in spatial and aspatial data for the effective decision making and strategic level planning.
FMIS requires the integration of disparate information from numerous sources. Information technology, and in particular the integration of database management system (DBMS), Remote Sensing (RS), Image Processing and Global Positioning System (GPS) provide some of the tools to support FMIS. GIS and RS provide a broad range of tools for forest area mapping,monitoring and management to achieve optimization in their conservation. Remotes sensing satellite data with its synoptic view, repetitive coverage and reliability opened immense possibility for forest area mapping. Digital image processing will help to delineate the forest areas very efficiently. GPS has proven to be very accurate and cost effective tool for any surveys. The GPS surveyed spatial data will be more accurate than any other survey. So the integration of these new technologies will give an integrated information and this will definitely help a lot in effective planning with accurate and valid information.
Fig1: Elements of FMIS
The elements of FMIS are shown in Fig. 1 as structured chart. The purposes of this system is to:
- Monitor the status and evaluate the forest resources,
- Co-ordinate in case of forest fire,
- Make effective decision and for everyday planning,
- Collect information from various sources and map with integrated information,
- Communicate results and find ings to a broad audience in ef fective way.
Fig2: Forest Range in Trivendrum District
An FMIS facility consists of information created at the district, division, range and village level and it is a structured database on 1:50,000 scale in a GIS environment. Nine toposheets of 1:50,000 scale are used to prepare the base map and these maps are superimposed with the map of Plantations, Vegetation, Protected Areas, Settlements, Soils…etc. For this FMIS, the following thematic maps are prepared and their importance in Forest Management also given in table 1.Some of the spatial data has been shown in Fig. 2 and 3. These Spatial digital database of the GIS, have been generated from various sources and for each geographic features in all coverages corresponding attribute data or non-spatial data have been attached.
Fig3: Protected Forest Area in Trivendrum District
All the available data viz. Divisional, Range, Vegetation, Plantation, Settlements, Waterbodies, Village…etc have been incorporated into this system as attribute data. This intelligent GIS database manages the data and has been used for analysis and decision making.It not only provides structures for storing data but also provide methods for extracting information from data and provides tools for applying forest management information.
|Forest Plantation||Anjily, Eucalyptus, Teak, Cashew…etc.|
|Type of vegetation like mixed deciduous, mixed vegetation with teak, open scrub, grassland… etc. Settlement Areas in Forest Areas
Different protected forest areas
|Protected Forest||Reserved Forest Areas, Non-reserved forest|
|Reserved Forest||areas and Enclosures
Rivers, Lakes and Ponds
|Water bodies||Location of waterfalls|
|Waterfall||The nature of the Terrain|
|Topography||The condition of the soils and its thickness|
|Soils||District Level, Division Level and Range Level|
|Interstate Boundary||Village level inventory, and optimal planning… etc. To understand the existing utilities and its management in the respective area|
|Major Roads Major Towns|
|Railway and major station|
|Division Head Quarters|
|Range Head Quarters|
A Forest Management Information System has been established for Trivandrum District to achieve maximum accuracy and reliability in spatial and aspatial data for the effective decision making and strategic level planning. This system could be helpful to monitor the forest resources and organise the resources very effectively. This will also handful to the end user level for everyday planning and resource management. By combining the remote sensing and global positioning system technology. It is possible to provide a better information on the distribution of forestland available for development and management.